CN116976240A - Real-time prediction and overtemperature early warning system and method for water wall temperature of coal-fired boiler - Google Patents

Real-time prediction and overtemperature early warning system and method for water wall temperature of coal-fired boiler Download PDF

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CN116976240A
CN116976240A CN202310816875.8A CN202310816875A CN116976240A CN 116976240 A CN116976240 A CN 116976240A CN 202310816875 A CN202310816875 A CN 202310816875A CN 116976240 A CN116976240 A CN 116976240A
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钟文琪
王天奕
陈曦
潘志超
周冠文
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Southeast University
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Abstract

The application relates to a real-time prediction and overtemperature early warning system for water-cooled wall temperature of a coal-fired boiler, which comprises the following components: obtaining water wall temperatures under different comprehensive working conditions through CFD numerical simulation calculation, and storing calculation results in a sample database module; acquiring temperature data at each measuring point of the water-cooled wall in the running process of the boiler through a DCS data processing module, and processing the temperature data into comprehensive working condition information which can be used for reconstruction as a query condition; and carrying out intrinsic orthogonal decomposition on the water-cooled wall temperature data under different comprehensive working conditions, extracting a mode and a mode coefficient, and combining the extracted mode with a query condition under the current working condition output by the DCS data processing module based on a Gappy POD algorithm to realize the prediction calculation of the water-cooled wall temperature under the current working condition which is not contained in the sample database module. The application solves the problem that the real-time detection and the overtemperature early warning of the water wall overtemperature area are difficult to carry out due to the small number of the field wall temperature measuring points.

Description

Real-time prediction and overtemperature early warning system and method for water wall temperature of coal-fired boiler
Technical Field
The application relates to the technical field of temperature monitoring of combustion devices, in particular to a system and a method for predicting the temperature of a water-cooled wall of a coal-fired boiler in real time and giving out an overtemperature early warning.
Background
In order to reduce the coal consumption of the thermal power unit and improve the economy of the coal-fired power plant, the boiler is developed towards the directions of large capacity and high parameters. With the increase of the capacity of the coal-fired boiler, the problem of the overtemperature of the water-cooled wall becomes one of the main technical problems faced by the power plant. In addition, in order to adapt to peak shaving of a power grid, the coal-fired boiler needs to be frequently subjected to load adjustment, so that the boiler deviates from the actual working condition, the problems of unstable combustion, flame deflection and the like are caused, and the possibility of local overtemperature of the water-cooled wall is further increased. Because the number of the temperature measuring points of the on-site water wall is limited, operators cannot accurately grasp the wall temperature distribution and the overtemperature area of the four-wall water wall, so that the regulation and control strategy is lack of basis, and the combustion state can only be regulated depending on working experience to prevent the overtemperature of the water wall.
Despite the rapid development of boiler measurement technology in recent years, the boiler is a strongly coupled and nonlinear system, and the temperature in the hearth is high, the fly ash content is high, and the accurate real-time measurement of the temperature is very challenging. Although devices such as thermocouples can measure the temperature of the water wall, the traditional measurement methods can only measure the temperature of local limited points, and real-time display and overtemperature early warning of the temperature of the whole four-wall water wall are difficult to realize. In order to comprehensively grasp the distribution of temperature components and the like in the furnace in detail, more and more researchers simulate the pulverized coal combustion process in a hearth by using a CFD method, and the detailed water wall temperature distribution situation can be obtained by using a combustion power field data coupling heat transfer model obtained by CFD calculation. However, the CFD method needs to solve various equations in detail, so that the time consumption is too long, and the real-time solution of the temperature distribution of the water-cooled wall under the on-site working condition is difficult to realize.
Disclosure of Invention
Aiming at the defects of the prior art, the application aims to provide a system and a method for displaying the temperature of the water wall of the coal-fired boiler in real time and giving out an overtemperature early warning, so as to realize the real-time prediction and early warning of the temperature distribution and the overtemperature area of the water wall.
The technical scheme adopted by the application is as follows:
the application provides a real-time prediction and overtemperature early warning system for water-cooled wall temperature of a coal-fired boiler, which comprises the following components:
the CFD coupling heat transfer calculation module is used for calculating the combustion dynamic field in the boiler under different comprehensive working conditions through CFD numerical simulation; the wall heat flow of the flue gas side of the water-cooled wall is obtained through calculation, a heat transfer model is coupled, the water-cooled wall temperature under different comprehensive working conditions is obtained through calculation, and the calculation result is stored in a sample database module;
the sample database module stores water-cooled wall temperature data of the boiler under different comprehensive working conditions and transmits the data to the POD rapid reconstruction module;
the DCS data processing module is used for receiving the data of the boiler DCS system, acquiring the temperature data of each measuring point of the water-cooled wall in the operation process of the boiler, processing the temperature data into comprehensive working condition information which can be used for reconstruction, and transmitting the comprehensive working condition information to the POD rapid reconstruction module as a query condition;
and the POD rapid reconstruction module is used for carrying out intrinsic orthogonal decomposition on water wall temperature data of different comprehensive working conditions from the sample database module, extracting a mode and a mode coefficient, combining the extracted mode with a query condition under the current working condition output from the DCS data processing module based on a Gappy POD algorithm, and realizing the prediction calculation of the water wall temperature under the current working condition which is not contained in the sample database module.
The further technical scheme is as follows:
the method for carrying out intrinsic orthogonal decomposition on water wall temperature data of different comprehensive working conditions from a sample database module to extract modes and mode coefficients comprises the following steps:
firstly, the water wall temperature data of different comprehensive working conditions are formed into a matrix S= [ u ] (1) ,u (2) ,…,u (N) ]S.epsilon.M.times.N, where u (1) ,u (2) ,…,u (N) Wall temperature vectors of N comprehensive working conditions respectively, u (1) ,u (2) ,…,u (N) E, M is M multiplied by 1, M is the grid number divided by the water wall area in the numerical simulation calculation process, and N is the number of comprehensive working conditions;
defining a correlation matrix r=s T S, solving the characteristic value of R to obtain Rψ i ＝λ i Ψ i ，λ i And psi is i The i-th eigenvalue and the corresponding eigenvector are respectively, the eigenvector orthogonal decomposition mode is:
the mode coefficients corresponding to each mode are:
the Gappy POD algorithm combines the extracted mode with the query condition under the current working condition output from the DCS data processing module to realize the prediction calculation of the water wall temperature under the current working condition which is not contained in the sample database module, and the method comprises the following steps:
first define vector g R E, M is multiplied by 1, wherein M is the grid number divided by the water-cooled wall area in the numerical simulation calculation process, and g is the g at the position where the measuring point is arranged on the water-cooled wall R The corresponding element is the temperature data value of the site water-cooled wall measured by the measuring point, g is at the position without the measuring point R The corresponding element in (2) is set to 0;
definition of the definitionWherein (1)>In order to perform the mode obtained by the intrinsic orthogonal decomposition on the water wall temperature data of different comprehensive working conditions from the sample database module, m (x) =1 at the position with the measuring point and m (x) =0 at other positions;
an overdetermined system of equations of least squares fitting is defined:
b i the model coefficient corresponding to the water wall temperature data obtained through intrinsic orthogonal decomposition under the current working condition; intercepting the modes, arranging the modes from large to small according to the characteristic values, and reserving the modes corresponding to the first r larger characteristic values;
solving least square of the overdetermined equation set and obtaining a modal coefficient b i And modalityAnd (3) linearly combining to reconstruct the temperature of the water-cooled wall under the current working condition.
The CFD coupling heat transfer calculation module utilizes the calculated wall heat flow data of the flue gas side of the water-cooled wall to couple with the one-dimensional heat transfer model, combines the parameters of the water-cooled wall pipeline to calculate the temperature of the working medium in the pipe, and then utilizes a heat transfer formula to calculate the temperatures of the inner wall surface and the outer wall surface of the water-cooled wall at different positions.
The POD rapid reconstruction module is further configured to: and comparing the prediction calculation result with the maximum allowable temperature of the water cooling wall, and carrying out early warning on the over-temperature region.
The display module is used for displaying the prediction calculation result, carrying out interaction with personnel, and displaying a cloud image, a vector image, a contour map, a histogram, a graph and a report; but also for displaying the over temperature region.
The application also provides a method for predicting the temperature of the water-cooled wall of the coal-fired boiler in real time and performing over-temperature early warning on the basis of the system for predicting the temperature of the water-cooled wall of the coal-fired boiler in real time and performing over-temperature early warning.
The beneficial effects of the application are as follows:
according to the application, through rapid real-time calculation of the wall water-cooling wall temperature, the integral prediction of the water-cooling wall temperature distribution can be carried out in a short time, the problem that the integral wall temperature distribution condition is difficult to master due to fewer field wall temperature measuring points is effectively solved, and field staff can know the water-cooling wall temperature distribution in real time, so that the operation condition can be adjusted according to the operation condition by the operators, and the combustion condition is correspondingly adjusted.
The application has the over-temperature early warning function and can obtain the over-temperature area of the water wall in real time.
The application can display the wall temperature and the overtemperature area in real time.
Additional features and advantages of the application will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the application.
Drawings
Fig. 1 is a schematic structural diagram of a system according to an embodiment of the present application.
FIG. 2 is a logic diagram of a method according to an embodiment of the present application.
FIG. 3 is a logical block diagram of the in-furnace combustion and in-tube heat transfer coupling calculation of the method of the present illustrative embodiment.
Fig. 4 is a flowchart of a Gappy POD algorithm of an embodiment of the application.
Detailed Description
The following describes specific embodiments of the present application with reference to the drawings.
Referring to fig. 1, an embodiment of the present application provides a system for predicting temperature of a water wall of a coal-fired boiler in real time and providing an overtemperature early warning, including:
the DCS data processing module 3 is used for receiving the data of the boiler DCS system, acquiring the temperature data of each measuring point of the water-cooled wall in the operation process of the boiler, processing the temperature data into comprehensive working condition information which can be used for reconstruction, and transmitting the comprehensive working condition information to the POD rapid reconstruction module as a query condition;
the CFD coupling heat transfer calculation module 1 is used for calculating the combustion dynamic field in the boiler under different comprehensive working conditions through CFD numerical simulation; the wall heat flow of the water-cooled wall is obtained through calculation, a heat transfer model is coupled, the water-cooled wall temperature under different comprehensive working conditions is obtained through calculation, and the calculation result is stored in a sample database module;
the sample database module 2 stores water-cooled wall temperature data of the boiler under different comprehensive working conditions and transmits the data to the POD rapid reconstruction module;
and the POD rapid reconstruction module 4 is used for carrying out intrinsic orthogonal decomposition on water wall temperature data of different comprehensive working conditions from the sample database module, extracting modes and mode coefficients, combining the extracted modes with query conditions under the current working conditions output from the DCS data processing module based on a Gappy POD algorithm, and realizing prediction calculation on the water wall temperature under the current working conditions which are not contained in the sample database module.
Furthermore, the POD rapid reconstruction module 4 is further configured to compare the prediction calculation result with a maximum temperature allowed by the water wall, and perform early warning on the over-temperature area.
Further, the system for predicting and overtemperature early warning of water-cooled wall temperature of coal-fired boiler according to the embodiment of the application further comprises a display module 5 for receiving and displaying the prediction calculation result output by the POD rapid reconstruction module 4, and carrying out interaction with personnel, wherein the display mode can comprise cloud pictures, vector pictures, contour diagrams, bar diagrams, graphs and reports. And can also be used for displaying an over-temperature region.
As will be appreciated by those skilled in the art, the Gappy POD algorithm is a data reconstruction method based on eigen-orthogonal decomposition (proper orthogonal decomposition, POD).
The embodiment of the application effectively solves the problems that the number of the temperature measuring points of the site wall is small, and real-time detection and over-temperature early warning are difficult to carry out on the over-temperature area of the water wall.
Referring to fig. 2, the embodiment of the application also provides a method for predicting the temperature of the water-cooled wall of the coal-fired boiler in real time and giving out an overtemperature early warning, which is based on the system for predicting the temperature of the water-cooled wall of the coal-fired boiler in real time and giving out an overtemperature early warning, and comprises the following steps:
s1, constructing a three-dimensional physical model of a boiler, dividing an internal grid of the model, and calculating a combustion dynamic field under different comprehensive working conditions by adopting a computational fluid dynamics coupling chemical reaction based on a CFD coupling heat transfer calculation module to obtain wall heat flow distribution of a flue gas side of a water-cooled wall;
specifically, parameters such as coal quality, wind speed, air temperature and the like are set according to the actual running condition of the site; for wall temperature boundary conditions, estimating according to on-site limited wall temperature measuring points before simulation, and setting all wall temperatures to be the same value; the model adopted for the simulation process of the combustion process in the furnace comprises the following steps: the particle phase coupling discrete term is used to realize a k-epsilon model, the radiation is used to realize a P-1 model, the devolatilization is used to realize two competing rate models, and the particle phase is used to realize a DPM model; after the model is set, carrying out a large-scale variable working condition numerical simulation experiment on the CFD coupling heat transfer calculation module to obtain the dynamic field data of the combustion in the furnace and obtain the wall heat flow distribution of the flue gas side of the water-cooled wall;
according to the one-dimensional heat transfer model of wall heat flow coupling, the temperature of working medium in the pipe is calculated by combining parameters such as pipeline parameters and flow of the water-cooled wall, and the temperature of the inner wall surface and the temperature of the outer wall surface of the water-cooled wall at different positions are calculated by utilizing a heat transfer formula, wherein the calculation process is shown in figure 3;
specifically, the following assumptions were made prior to calculation: (1) And taking the numerical simulation heat flow data as boundary conditions of water wall heat transfer. (2) The flow rate of the pipe is constant, and the flow rate of the working medium of each pipe is uniformly distributed. (3) The temperature of the fluid in the pipe rises along with the rising of the height spiral, and the empirical parameters in the pipe are calculated according to the physical properties of the working medium selected by the pressure and the temperature. (4) The water wall pipe is a light pipe film type water wall, one side is heated, and the other side is insulated. Regarding the cold ash bucket as an independent integral area, determining the enthalpy value and pressure of the cold ash bucket, calculating parameters such as temperature and pressure of working medium flowing out of the area by adopting a one-dimensional model, and calculating the enthalpy increase and outlet pressure of the cold ash bucket area as follows:
ΔH＝S huidou ×q huidou ×3600/G
wherein ΔH is the regional enthalpy gain，S huidou Is the total heat exchange area through which working medium flows, G is the total water supply flow, p 0 The pressure h of working medium flowing into the ash cooling hopper at the outlet of the economizer huidou Is the vertical height of the ash bucket,for the spiral rising angle of the pipeline->Friction loss for pipe flow; and taking the calculation result as an input working medium parameter of the water-cooled wall, and then calculating the working medium temperature of the hearth area, wherein the working medium temperature with the same height is regarded as the same as the working medium temperature with smaller heat deviation in the hearth area. In order to make the calculation of the temperature and enthalpy values more accurate, the calculation domain is divided into a plurality of small areas along the height, and the working medium parameters of each small area are considered to be the same. And calculating the enthalpy value and the pressure value of the working medium in each small area by using discrete mass, energy and momentum conservation equations, thereby obtaining the temperature value of the working medium and further obtaining the temperature distribution of the working medium in the pipe. Discretizing a conservation equation by using a one-dimensional heat transfer model, wherein the mass, energy and momentum equations after discretization are as follows:
wherein,,is … mass flow, p is pressure, A is pipeline sectional area, phi is pipeline inclination angle, h is enthalpy, deltax is node spacing, C is pipeline sectional perimeter, q equiv Is equivalent heat flux density，/>Friction loss for pipe flow; subscript i represents the number of steps of the iterative calculation;
combining the above formulas, calculating the temperature of working media at different heights of the water wall tube under a certain working condition by using the heat flow data calculated by CFD, and combining the heat transfer formulas to obtain the temperature of the inner side and the outer side of the water wall tube wall at different positions, wherein the calculation formulas of the tube wall temperature are as follows:
wherein alpha is the convective heat transfer coefficient, lambda is the heat transfer coefficient of the tube wall, t in Is the temperature of the inner wall of the pipeline, t b Is the fluid temperature, t out For the temperature of the outer wall of the pipeline, d out Is the outer diameter of the pipeline;
and taking the obtained wall temperature distribution as a boundary condition, carrying out numerical simulation calculation again, repeating the steps, and taking the wall temperature obtained by the two times of calculation as the calculation convergence when the wall temperature result is smaller than a certain value as the real wall temperature data under the working condition.
And calculating the temperature of the water wall under all working conditions, and storing the calculation result in a sample database module in a matrix form.
When the combustion dynamic field under different comprehensive working conditions is calculated, the parameter set representing each comprehensive working condition comprises load, air distribution, coal distribution and the like.
S2, after calculation is completed, the water-cooled wall temperature calculation results under all comprehensive working conditions are stored in a sample database module;
s3, carrying out intrinsic orthogonal decomposition on water-cooled wall temperature data of different comprehensive working conditions from the sample database module by utilizing the POD rapid reconstruction module, extracting a mode and a mode coefficient, and combining the extracted mode with a query condition under the current working condition output from the DCS data processing module based on a Gappy POD algorithm to realize the prediction calculation of the water-cooled wall temperature under the current working condition which is not contained in the sample database module.
Specifically, the performing intrinsic orthogonal decomposition on water wall temperature data of different comprehensive working conditions from a sample database module to extract a mode and a mode coefficient includes:
firstly, the water wall temperature data of different comprehensive working conditions are formed into a matrix S= [ u ] (1) ,u (2) ,…,u (N) ]S.epsilon.M.times.N, where u (1) ,u (2) ,,u (N) Wall temperature vectors of N comprehensive working conditions respectively, u (1) ,u (2) ,…,u (N) E, M is M multiplied by 1, M is the grid number divided by the water wall area in the numerical simulation calculation process, and N is the number of comprehensive working conditions;
defining a correlation matrix r=s T S, solving the characteristic value of R to obtain Rψ i ＝λ i Ψ i ，λ i And psi is i The i-th eigenvalue and the corresponding eigenvector are respectively, the eigenvector orthogonal decomposition mode is:
the mode coefficients corresponding to each mode are:
specifically, referring to fig. 4, the Gappy POD algorithm combines the extracted mode with the query condition (a small amount of in-situ measured wall temperature) under the current working condition output from the DCS data processing module, to implement the predictive calculation of the water wall temperature under the current working condition not included in the sample database module, including:
first define vector g R E, M is multiplied by 1, wherein M is the grid number divided by the water-cooled wall area in the numerical simulation calculation process, and g is the g at the position where the measuring point is arranged on the water-cooled wall R The corresponding element is the temperature data value of the site water-cooled wall measured by the measuring point, g is at the position without the measuring point R The corresponding element in (2) is set to 0;
definition of the definitionWherein (1)>In order to perform the mode obtained by the intrinsic orthogonal decomposition on the water wall temperature data of different comprehensive working conditions from the sample database module, m (x) =1 at the position with the measuring point and m (x) =0 at other positions;
an overdetermined system of equations of least squares fitting is defined:
b i and (3) intercepting the mode for accelerating the reconstruction speed for the ith mode coefficient corresponding to the water-cooled wall temperature data obtained through intrinsic orthogonal decomposition under the current working condition, selecting modes corresponding to the first several larger characteristic values for reservation according to the arrangement of the characteristic values from large to small, and r is the number of reserved modes.
Meanwhile, it can be understood that the number of data read from the DCS system is greater than the number of intercepted modalities in order to ensure the uniqueness of the reconstruction result.
Solving least square of the overdetermined equation set and obtaining a modal coefficient b i And modalityAnd (3) linearly combining to reconstruct the temperature of the water-cooled wall under the current working condition.
And comparing the reconstructed wall temperature with the highest wall temperature allowed by the water-cooled wall, and carrying out early warning on the water-cooled wall overtemperature area.
And S4, displaying a reconstruction result and an early warning result of the water wall temperature under the current working condition by using a display module.
The DCS data processing module reads the field actual measurement data at certain time intervals, and repeats the S1-S4 processes, so that the real-time display of the temperature of the water-cooled wall and the overtemperature early warning are realized.
Specifically, the display module can realize man-machine interaction, the interaction mode comprises mouse and keyboard instructions, gestures, actions and voices, and the display module comprises a display screen, a virtual reality device and an augmented virtual reality device.
Those of ordinary skill in the art will appreciate that: the foregoing description is only a preferred embodiment of the present application, and the present application is not limited thereto, but it is to be understood that modifications and equivalents of some of the technical features described in the foregoing embodiments may be made by those skilled in the art, although the present application has been described in detail with reference to the foregoing embodiments. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the protection scope of the present application.

Claims (7)

1. The utility model provides a coal fired boiler water-cooling wall temperature predicts and overtemperature early warning system in real time which characterized in that includes:
the CFD coupling heat transfer calculation module is used for calculating the combustion dynamic field in the boiler under different comprehensive working conditions through CFD numerical simulation; the wall heat flow of the flue gas side of the water-cooled wall is obtained through calculation, a heat transfer model is coupled, the water-cooled wall temperature under different comprehensive working conditions is obtained through calculation, and the calculation result is stored in a sample database module;
the sample database module stores water-cooled wall temperature data of the boiler under different comprehensive working conditions and transmits the data to the POD rapid reconstruction module;
the DCS data processing module is used for receiving the data of the boiler DCS system, acquiring the temperature data of each measuring point of the water-cooled wall in the operation process of the boiler, processing the temperature data into comprehensive working condition information which can be used for reconstruction, and transmitting the comprehensive working condition information to the POD rapid reconstruction module as a query condition;
and the POD rapid reconstruction module is used for carrying out intrinsic orthogonal decomposition on water wall temperature data of different comprehensive working conditions from the sample database module, extracting a mode and a mode coefficient, combining the extracted mode with a query condition under the current working condition output from the DCS data processing module based on a Gappy POD algorithm, and realizing the prediction calculation of the water wall temperature under the current working condition which is not contained in the sample database module.
2. The system for real-time prediction and over-temperature pre-warning of water-cooled wall temperature of coal-fired boiler according to claim 1, wherein the extracting mode and mode coefficient by performing intrinsic orthogonal decomposition on water-cooled wall temperature data of different comprehensive working conditions from a sample database module comprises:
firstly, the water wall temperature data of different comprehensive working conditions are formed into a matrix S= [ u ] (1) ,u (2) ,…,u (N) ]S.epsilon.M.times.N, where u (1) ,u (2) ,…,u (N) Wall temperature vectors of N comprehensive working conditions respectively, u (1) ,u (2) ,…,u (N) E, M is M multiplied by 1, M is the grid number divided by the water wall area in the numerical simulation calculation process, and N is the number of comprehensive working conditions;
defining a correlation matrix r=s T S, solving the characteristic value of R to obtain Rψ i ＝λ i Ψ i ，λ i And psi is i The i-th eigenvalue and the corresponding eigenvector are respectively, the eigenvector orthogonal decomposition mode is:
the mode coefficients corresponding to each mode are:
3. the system for predicting and warning the temperature of the water-cooled wall of the coal-fired boiler in real time according to claim 2, wherein the method for predicting and calculating the temperature of the water-cooled wall under the current working condition which is not contained in the sample database module is realized by combining the extracted mode with the query condition under the current working condition which is output from the DCS data processing module based on the Gappy POD algorithm, and comprises the following steps:
first define vector g R E, M is multiplied by 1, wherein M is the grid number divided by the water-cooled wall area in the numerical simulation calculation process, and g is the g at the position where the measuring point is arranged on the water-cooled wall R The corresponding element is the temperature data value of the site water-cooled wall measured by the measuring point, g is at the position without the measuring point R The corresponding element in (2) is set to 0;
definition of the definitionWherein (1)>In order to perform the mode obtained by the intrinsic orthogonal decomposition on the water wall temperature data of different comprehensive working conditions from the sample database module, m (x) =1 at the position with the measuring point and m (x) =0 at other positions;
an overdetermined system of equations of least squares fitting is defined:
b i the method comprises the steps of obtaining an ith modal coefficient corresponding to water-cooled wall temperature data obtained through intrinsic orthogonal decomposition under the current working condition; intercepting the modes, arranging the modes from large to small according to the characteristic values, and reserving the modes corresponding to the first r larger characteristic values;
solving least square of the overdetermined equation set and obtaining a modal coefficient b i And modalityAnd (3) linearly combining to reconstruct the temperature of the water-cooled wall under the current working condition.
4. The system for predicting the temperature of the water-cooled wall of the coal-fired boiler in real time and giving out an overtemperature early warning according to claim 1, wherein the CFD coupling heat transfer calculation module utilizes calculated wall heat flow data of the flue gas side of the water-cooled wall to couple with a one-dimensional heat transfer model, combines parameters of a pipeline of the water-cooled wall to calculate the temperature of a working medium in the pipe, and then utilizes a heat transfer formula to calculate the temperatures of the inner wall surface and the outer wall surface of the water-cooled wall at different positions.
5. The coal-fired boiler water wall temperature real-time prediction and overtemperature early warning system of claim 1, wherein the POD rapid reconstruction module is further configured to: and comparing the prediction calculation result with the maximum allowable temperature of the water cooling wall, and carrying out early warning on the over-temperature region.
6. The system for predicting the temperature of the water-cooled wall of the coal-fired boiler in real time and giving out an overtemperature warning according to claim 6, further comprising a display module for displaying the prediction calculation result, carrying out interaction with personnel, wherein the display mode comprises a cloud chart, a vector chart, a contour chart, a histogram, a graph and a report; but also for displaying the over temperature region.
7. The method for predicting the temperature of the water-cooled wall of the coal-fired boiler in real time and giving out the overtemperature early warning is characterized by being realized based on the system for predicting the temperature of the water-cooled wall of the coal-fired boiler in real time and giving out the overtemperature early warning according to any one of claims 1-6.
CN202310816875.8A 2023-07-05 2023-07-05 Real-time prediction and overtemperature early warning system and method for water wall temperature of coal-fired boiler Pending CN116976240A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117473800A (en) * 2023-12-28 2024-01-30 浙江一舟电子科技股份有限公司 Battery temperature prediction method of energy storage system and related equipment thereof

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117473800A (en) * 2023-12-28 2024-01-30 浙江一舟电子科技股份有限公司 Battery temperature prediction method of energy storage system and related equipment thereof

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