A data analysis-based steam intelligent regulation and control system and method

Abstract

The application discloses a kind of based on data analysis's steam intelligent regulation and control system and method, it is related to boiler steam supply technical field, and the system includes data acquisition module, data storage module, sample data analysis module and prediction control module;The data acquisition module output end is connected with the input end of the data storage module, and the data storage module output end is connected with the sample data analysis module input end and the prediction control module input end;The sample data analysis module output end is connected with the prediction control module input end.This application collects the information of each component in the process of boiler power generation, constructs power generation model, predicts the change of power grid demand, and regulates and control boiler steam, so as to effectively improve the power generation efficiency of generator, while reducing the instability of power grid caused by the change of user power demand.

Description

Technical Field

[0001] This invention relates to the field of boiler steam supply technology, specifically to an intelligent steam supply control system and method based on data analysis. Background Technology

[0002] With the rapid development of my country's power industry, power generation capacity and coverage have been significantly improved. Although the development of new energy sources is booming, thermal power generation remains the dominant form of power generation in my country, occupying an important position. The core principle of thermal power generation is to heat water in a boiler to generate high-temperature, high-pressure steam, which drives a steam turbine to rotate, thereby driving a generator to produce electricity. Therefore, the control of steam supply from the boiler is crucial in the entire thermal power generation process.

[0003] During the process of a boiler generating steam to drive a turbine and a generator to produce electricity, the load on the turbine will change when the generator outputs different currents. If the steam output from the boiler is not adjusted in time, the generator's utilization rate of steam energy will be affected by the change in current, thus reducing the generator's utilization rate of steam energy. Summary of the Invention

[0004] The purpose of this invention is to provide a data analysis-based intelligent steam supply control system and method to solve the problems raised in the prior art.

[0005] To achieve the above objectives, the present invention provides the following technical solution: a data analysis-based intelligent steam supply control system, which includes a data acquisition module, a data storage module, a sample data analysis module, and a predictive control module;

[0006] The data acquisition module is used to collect information on the operation of steam, steam turbine, generator, and power grid; the data storage module is used to store the information collected by the data acquisition module and store the collected information in array form; the sample data analysis module is used to calculate the power and energy utilization rate of each component of the boiler during operation and fit a power generation model based on the calculated data points; the prediction and control module is used to predict changes in the power grid and control the input steam according to the changes.

[0007] The output of the data acquisition module is connected to the input of the data storage module, and the output of the data storage module is connected to the input of the sample data analysis module and the input of the prediction and control module; the output of the sample data analysis module is connected to the input of the prediction and control module.

[0008] According to the above technical solution, the data acquisition module includes a steam information acquisition unit, a steam turbine information acquisition unit, a generator information acquisition unit, and a power grid information acquisition unit;

[0009] The steam information acquisition unit uses a thermocouple temperature sensor to acquire steam temperature, a gauge pressure sensor to acquire steam pressure, and a flow meter to acquire steam flow rate; the turbine information acquisition unit uses an eddy current speed sensor to acquire turbine speed; the generator information acquisition unit uses a Hall effect sensor to acquire generator load current; and the power grid information acquisition unit uses a frequency meter to acquire power grid frequency.

[0010] According to the above technical solution, the sample data analysis module includes a power calculation unit, an energy utilization calculation unit, and a power generation model establishment unit;

[0011] The power calculation unit is used to calculate the steam output power, the steam turbine output power, and the generator output power; the energy utilization calculation unit is used to calculate the steam turbine energy utilization rate and the generator energy utilization rate; the generator model building unit forms data points based on the collected data and calculation results to fit the power generation model.

[0012] According to the above-mentioned technical solution, the prediction and control module includes a load current prediction unit, a power grid frequency prediction unit, and a control unit;

[0013] The load current prediction unit uses the collected load current trend to predict the load current for the next time period; the grid frequency prediction unit uses the collected grid frequency trend to predict the grid frequency for the next time period; the control unit uses the predicted load current, grid frequency, and power generation model to control the steam temperature, pressure, and flow rate.

[0014] A data-driven intelligent steam supply control method, comprising the following steps:

[0015] S1. Set a time interval t. Within the time interval t, collect and store the steam temperature T, pressure P, flow rate L, turbine speed N, generator load current I, and grid frequency f.

[0016] S2. Convert the collected data into array format and store it;

[0017] S3. Based on the array information, calculate the power and energy utilization rate of each component during boiler operation and construct a power generation model;

[0018] S4. Predict changes in grid demand and regulate steam based on the constructed power generation model.

[0019] According to the above scheme, step S2 also includes the following steps:

[0020] S2-1, The steam temperature T collected during the i-th time interval t i and steam pressure P iGenerate data pairs array [(T1, P1), (T2, P2)...(T i P i Based on the relationship between steam temperature, pressure, and enthalpy in the data array, the steam enthalpy h is obtained. i Generate an array of vapor enthalpy values ​​[h1, h2...h] in chronological order. i ];

[0021] Based on the data generated from the steam temperature and pressure, and according to the correspondence in the enthalpy table, the enthalpy information of the steam can be retrieved.

[0022] Calculate the average steam flow rate over the time interval t from the (i-1)th to the ith time interval, and use this average steam flow rate as the steam flow rate L during the ith time interval t. i Generate a steam flow array [L1, L2...L] based on time sequence. i ], where h i L represents the vapor enthalpy value in the i-th time interval. i This represents the steam flow rate during the i-th time interval;

[0023] S2-2. Calculate the average turbine speed within the time interval t from the (i-1)th time interval to the ith time interval, and take the average turbine speed as the turbine speed N within the ith time interval t. i Generate a turbine speed array [N1, N2...N] based on time sequence. i ], where N i This represents the turbine speed during the i-th time interval;

[0024] S2-3. Obtain the maximum value of the generator load current within the time interval t from the (i-1)th to the ith time interval, and use the maximum value of the generator load current as the generator load current I within the ith time interval t. ji Generate generator load current array [I] according to time sequence 11 I 12 ...I ji ], where I ji This represents the generator load current during the i-th time interval of the j-th month;

[0025] S2-4. Obtain the maximum value f of the power grid frequency within the time interval t from the (i-1)th to the ith time interval. max and the minimum value of the power grid frequency f min Compare |f max -X| and |f min -X|size, when |f max -X|greater than|f min -X| will f max The power grid frequency f within the time interval ti When |f max -X|less than|f min -X| will f min The power grid frequency f within the time interval t i Generate a power grid frequency array [f1, f2...f] based on time sequence. i ], where f i X represents the grid frequency in the i-th time interval, and X represents the set grid frequency.

[0026] The maximum and minimum values ​​of the power grid frequencies collected within the time interval t are obtained. By subtracting the maximum and minimum values ​​from the standard power grid frequency of my country (50 Hz), and taking the absolute value of the result, the maximum frequency fluctuation within the time interval t can be obtained by comparing the magnitude of the absolute values. The frequency corresponding to the maximum frequency fluctuation is recorded in the power grid frequency array.

[0027] According to the above technical solution, step S3 also includes the following steps:

[0028] S3-1, Based on the steam enthalpy array [h1, h2...h i ] and steam flow array [L1, L2...L i Calculate the steam power W based on the enthalpy h0 at the time of steam discharge. 1i The calculation formula is as follows: W 1i h0 represents the steam power during the i-th time interval, and h0 represents the enthalpy value corresponding to the temperature and pressure when the steam is discharged from the turbine.

[0029] S3-2, Based on the turbine speed array [N1, N2...N... i ] Calculate the turbine power W 2i The calculation formula is as follows: ;W 2i This represents the turbine power at the i-th time interval, where Q represents the turbine torque, which is a constant; based on the generator load current array [I 11 I 12 ...I ji ] Calculate the generator power W 3i The calculation formula is as follows: ;W 3i V represents the generator power during the i-th time interval, and V represents the generator output voltage.

[0030] S3-3, Based on steam power W 1i Steam turbine power W 2i Calculate the turbine energy utilization rate ξ i The calculation formula is as follows: ;where ξ iThis represents the turbine energy utilization rate during the i-th time interval; based on the steam power W 1i and generator power W 3i Calculate the generator energy utilization rate η i The calculation formula is as follows: ;where η i This represents the generator energy utilization rate during the i-th time interval;

[0031] S3-4 sets the energy utilization rate threshold K, when η i When η is less than K, discard the data collected in the i-th time interval. i When the value is greater than K, the collected data is retained to complete the calculation of generator energy utilization rate η. i Filtering;

[0032] S3-5. Based on the selected generator energy utilization rate η i Obtain the generator load current I during the i-th time interval. i and turbine energy utilization rate ξ i The generator load current I i Steam turbine energy utilization rate ξ i and generator energy utilization rate η i Generate data points {(I1, ξ1, η1), (I2, ξ2, η2)...(I i ξ i η i By fitting the data points, a power generation model is established: Where a, b, and c represent fitting coefficients, I represents the first independent variable referring to the generator load current, ξ represents the second independent variable referring to the turbine energy utilization rate, and η represents the dependent variable referring to the generator energy utilization rate; calculate the fitting coefficients a, b, and c according to the following formulas:

[0033] ;

[0034] ;

[0035] .

[0036] By filtering the data points according to the energy utilization rate threshold K, data points under high energy utilization rate of generators are obtained. Combined with the least squares method, the data points are fitted into a power generation model, ensuring that the subsequent prediction process is based on the generator under high energy utilization rate, thus removing the interference of low energy utilization rate.

[0037] According to the above technical solution, step S4 also includes the following steps:

[0038] S4-1, Based on the generator load current array [I11 I 12 ...I ji Calculate the average year-on-year growth rate for each time interval within the same month. Based on the average year-on-year growth rate, predict the generator load current I for the next time period of the current month. ji+1 The calculation formula is as follows:

[0039]

[0040] in I represents the generator current load in the j-th month of the previous year at the i-th time interval. ji+1 This represents the predicted generator current load at the (i+1)th time interval in the j-th month;

[0041] Due to seasonal changes, electricity demand varies from season to season. This technical solution uses the year-on-year growth rate to address the impact of seasonal changes on electricity demand. By comparing the growth rate of load current in the same time interval of the same month this year with that of last year, the average value of the growth rate is calculated to infer the maximum value of the current load in the next time interval, thereby reducing the impact of seasons on electricity demand.

[0042] S4-2. Based on the power grid frequency array [f1, f2...f...] i Set d time intervals t, compare the absolute value of the power grid frequency f minus X within each time interval, and take the power grid frequency with the largest calculated result as the power grid frequency f for the next time interval. i+1 Based on the predicted power grid frequency f i+1 Calculate the turbine speed N i+1 The calculation formula is as follows: Where M represents the number of pole pairs of the generator;

[0043] The power grid frequency changes constantly due to changes in demand and is time-dependent. For example, electricity demand during the day is often higher than at night. Simply comparing all historical data will not be able to accurately predict the maximum fluctuation of the power grid frequency in the next time interval t. Therefore, by collecting data from the most recent d time intervals t for prediction, the current power grid frequency fluctuation can be well reflected.

[0044] S4-3, Based on the predicted generator load current I ji+1 and turbine speed N i+1 Calculate the steam flow rate L at the generator's maximum energy utilization rate based on the following set of equations. i+1 enthalpy value h i+1 :

[0045]

[0046] Obtain steam flow rate Li+1 enthalpy value h i+1 By analyzing the relationship between enthalpy and steam temperature and pressure, the steam temperature T is determined. i+1 Pressure P i+1 and flow L i+1 The adjustment amount of steam based on the predicted result is calculated using the formula: △T = T i+1 -T i ; △P=P i+1 -P i ; △L=L i+1 -L i Adjust the steam drum valves according to the changes in steam output.

[0047] The predicted turbine speed N i+1 Incorporating turbine energy utilization rate This allows us to obtain a functional relationship between steam flow rate and enthalpy. Then, we can use this functional relationship and the predicted generator load current I... ji+1 Input the power generation model This allows us to obtain the functional relationship between the dependent variable, generator energy utilization rate η, and the independent variables, steam enthalpy and flow rate. By performing partial differential processing on the independent variables enthalpy and flow rate through this functional relationship, we obtain partial differential equations for enthalpy and flow rate. Solving these partial differential equations yields the monotonicity of the original equation. Based on the monotonicity, we determine the maximum value of the generator energy utilization rate under the predicted grid frequency and generator load current, thus obtaining the steam enthalpy and flow rate. Then, based on the steam enthalpy table, we infer the steam temperature and pressure. Finally, we control the heating and steam valves based on the obtained steam temperature, pressure, and flow rate.

[0048] Compared with existing technologies, the advantages of this invention are: by accurately collecting and monitoring key parameters in the boiler system, such as steam pressure, temperature, and flow rate, turbine speed, generator load current, and grid frequency, this invention calculates and analyzes steam power, turbine power, and generator power in real time. This data is used to dynamically calculate the operating efficiency of the turbine and generator, and based on historical data accumulated over a long period, a high-precision power generation model is constructed.

[0049] This power generation model can not only assess the current energy utilization rate of generators, but also predict future changes in grid frequency and generator load current through intelligent algorithms. Based on this, the system can precisely regulate steam supply in advance to ensure that the generator's energy utilization rate remains at its highest level under various operating conditions. This method effectively improves the efficiency of the entire power generation process, reduces energy waste, and enhances the grid's adaptability to changes in user electricity demand, thereby improving the grid's stability and reliability. Attached Figure Description

[0050] Figure 1This is a schematic diagram of the structure of a data analysis-based intelligent steam supply control system according to the present invention;

[0051] Figure 2 This is a flowchart illustrating a data analysis-based intelligent steam supply control method according to the present invention. Detailed Implementation

[0052] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0053] Please see Figure 1 The present invention provides a technical solution: a data analysis-based intelligent steam supply control system, which includes a data acquisition module, a data storage module, a sample data analysis module, and a predictive control module;

[0054] The data acquisition module is used to collect information on the operation of steam, steam turbine, generator, and power grid; the data storage module is used to store the information collected by the data acquisition module and store the collected information in array form; the sample data analysis module is used to calculate the power and energy utilization rate of each component of the boiler during operation and fit a power generation model based on the calculated data points; the prediction and control module is used to predict changes in the power grid and control the input steam according to the changes.

[0055] The output of the data acquisition module is connected to the input of the data storage module, and the output of the data storage module is connected to the input of the sample data analysis module and the input of the prediction and control module; the output of the sample data analysis module is connected to the input of the prediction and control module.

[0056] The data acquisition module includes a steam information acquisition unit, a steam turbine information acquisition unit, a generator information acquisition unit, and a power grid information acquisition unit;

[0057] The steam information acquisition unit uses a thermocouple temperature sensor to acquire steam temperature, a gauge pressure sensor to acquire steam pressure, and a flow meter to acquire steam flow rate; the turbine information acquisition unit uses an eddy current speed sensor to acquire turbine speed; the generator information acquisition unit uses a Hall effect sensor to acquire generator load current; and the power grid information acquisition unit uses a frequency meter to acquire power grid frequency.

[0058] The sample data analysis module includes a power calculation unit, an energy utilization calculation unit, and a power generation model establishment unit.

[0059] The power calculation unit is used to calculate the steam output power, the steam turbine output power, and the generator output power; the energy utilization calculation unit is used to calculate the steam turbine energy utilization rate and the generator energy utilization rate; the generator model building unit forms data points based on the collected data and calculation results to fit the power generation model.

[0060] The prediction and control module includes a load current prediction unit, a power grid frequency prediction unit, and a control unit.

[0061] The load current prediction unit uses the collected load current trend to predict the load current for the next time period; the grid frequency prediction unit uses the collected grid frequency trend to predict the grid frequency for the next time period; the control unit uses the predicted load current, grid frequency, and power generation model to control the steam temperature, pressure, and flow rate.

[0062] Please see Figure 2 The present invention provides a technical solution: a method for intelligent control of steam supply based on data analysis, the method comprising the following steps:

[0063] S1. Set a time interval t. Within the time interval t, collect and store the steam temperature T, pressure P, flow rate L, turbine speed N, generator load current I, and grid frequency f.

[0064] S2. Convert the collected data into array format and store it;

[0065] S3. Based on the array information, calculate the power and energy utilization rate of each component during boiler operation and construct a power generation model;

[0066] S4. Predict changes in grid demand and regulate steam based on the constructed power generation model.

[0067] S2 also includes the following steps:

[0068] S2-1, The steam temperature T collected during the i-th time interval t i and steam pressure P i Generate data pairs array [(T1, P1), (T2, P2)...(T i P i Based on the relationship between steam temperature, pressure, and enthalpy in the data array, the steam enthalpy h is obtained. i Generate an array of vapor enthalpy values ​​[h1, h2...h] in chronological order. i ; Calculate the average steam flow rate within the time interval t from the (i-1)th to the ith time interval, and use the average steam flow rate as the steam flow rate L within the ith time interval t. iGenerate a steam flow array [L1, L2...L] based on time sequence. i ], where h i L represents the vapor enthalpy value in the i-th time interval. i This represents the steam flow rate during the i-th time interval;

[0069] S2-2. Calculate the average turbine speed within the time interval t from the (i-1)th time interval to the ith time interval, and take the average turbine speed as the turbine speed N within the ith time interval t. i Generate a turbine speed array [N1, N2...N] based on time sequence. i ], where N i This represents the turbine speed during the i-th time interval;

[0070] S2-3. Obtain the maximum value of the generator load current within the time interval t from the (i-1)th to the ith time interval, and use the maximum value of the generator load current as the generator load current I within the ith time interval t. ji Generate generator load current array [I] according to time sequence 11 I 12 ...I ji ], where I ji This represents the generator load current during the i-th time interval of the j-th month;

[0071] S2-4. Obtain the maximum value f of the power grid frequency within the time interval t from the (i-1)th to the ith time interval. max and the minimum value of the power grid frequency f min Compare |f max -X| and |f min -X|size, when |f max -X|greater than|f min -X| will f max The power grid frequency f within the time interval t i When |f max -X|less than|f min -X| will f min The power grid frequency f within the time interval t i Generate a power grid frequency array [f1, f2...f] based on time sequence. i ], where f i X represents the grid frequency in the i-th time interval, and X represents the set grid frequency.

[0072] S3 also includes the following steps:

[0073] S3-1, Based on the steam enthalpy array [h1, h2...h i ] and steam flow array [L1, L2...Li Calculate the steam power W based on the enthalpy h0 at the time of steam discharge. 1i The calculation formula is as follows: W 1i h0 represents the steam power during the i-th time interval, and h0 represents the enthalpy value corresponding to the temperature and pressure when the steam is discharged from the turbine.

[0074] S3-2, Based on the turbine speed array [N1, N2...N... i ] Calculate the turbine power W 2i The calculation formula is as follows: ;W 2i This represents the turbine power at the i-th time interval, where Q represents the turbine torque, which is a constant; based on the generator load current array [I 11 I 12 ...I ji ] Calculate the generator power W 3i The calculation formula is as follows: ;W 3i V represents the generator power during the i-th time interval, and V represents the generator output voltage.

[0075] S3-3, Based on steam power W 1i Steam turbine power W 2i Calculate the turbine energy utilization rate ξ i The calculation formula is as follows: ;where ξ i This represents the turbine energy utilization rate during the i-th time interval; based on the steam power W 1i and generator power W 3i Calculate the generator energy utilization rate η i The calculation formula is as follows: ;where η i This represents the generator energy utilization rate during the i-th time interval;

[0076] S3-4 sets the energy utilization rate threshold K, when η i When η is less than K, discard the data collected in the i-th time interval. i When the value is greater than K, the collected data is retained to complete the calculation of generator energy utilization rate η. i Filtering;

[0077] S3-5. Based on the selected generator energy utilization rate η i Obtain the generator load current I during the i-th time interval. i and turbine energy utilization rate ξ i The generator load current I i Steam turbine energy utilization rate ξ i and generator energy utilization rate ηi Generate data points {(I1, ξ1, η1), (I2, ξ2, η2)...(I i ξ i η i By fitting the data points, a power generation model is established: Where a, b, and c represent fitting coefficients, I represents the first independent variable referring to the generator load current, ξ represents the second independent variable referring to the turbine energy utilization rate, and η represents the dependent variable referring to the generator energy utilization rate; calculate the fitting coefficients a, b, and c according to the following formulas:

[0078] ;

[0079] ;

[0080] .

[0081] S4 also includes the following steps:

[0082] S4-1, Based on the generator load current array [I 11 I 12 ...I ji Calculate the average year-on-year growth rate for each time interval within the same month. Based on the average year-on-year growth rate, predict the generator load current I for the next time period of the current month. ji+1 The calculation formula is as follows:

[0083]

[0084] in I represents the generator current load in the j-th month of the previous year at the i-th time interval. ji+1 This represents the predicted generator current load at the (i+1)th time interval in the j-th month;

[0085] S4-2. Based on the power grid frequency array [f1, f2...f...] i Set d time intervals t, compare the absolute value of the power grid frequency f minus X within each time interval, and take the power grid frequency with the largest calculated result as the power grid frequency f for the next time interval. i+1 Based on the predicted power grid frequency f i+1 Calculate the turbine speed N i+1 The calculation formula is as follows: Where M represents the number of pole pairs of the generator;

[0086] S4-3, Based on the predicted generator load current I ji+1 and turbine speed N i+1Calculate the steam flow rate L at the generator's maximum energy utilization rate based on the following set of equations. i+1 enthalpy value h i+1 :

[0087]

[0088] Obtain steam flow rate L i+1 enthalpy value h i+1 By analyzing the relationship between enthalpy and steam temperature and pressure, the steam temperature T is determined. i+1 Pressure P i+1 and flow L i+1 The adjustment amount of steam based on the predicted result is calculated using the formula: △T = T i+1 -T i ; △P=P i+1 -P i ; △L=L i+1 -L i Adjust the steam drum valves according to the changes in steam output.

[0089] In an embodiment of the present invention, the data points obtained during the boiler power generation operation process through the data acquisition module are {(1.7, 45%, 40%), (1.75, 43%, 38%), (1.65, 48%, 43%), (1.6, 46%, 42%)}. The energy utilization threshold K is set to 40%. After removing the data points (1.75, 43%, 38%), a power generation model is constructed through data fitting: η = -0.02I + ξ - 0.01;

[0090] The load current for the next time interval, processed by the load current prediction unit, is set to 1.72 mA; the grid frequency for the next time interval, processed by the grid frequency prediction unit, is set to 50 Hz; and the number of pole pairs of the generator is set to [value missing]. This is achieved using the formula [formula missing]. Calculate that the turbine speed N is 3000 rpm, and substitute the value into...

[0091] η = -0.02I + ξ - 0.01

[0092] ξ=2πQ*3000 / 1000*h*L

[0093] Substituting the second equation into the first equation and taking the partial derivative with respect to h and L, we can obtain L as 286.2 and h as 3399.5. From the enthalpy table, we can obtain the steam temperature as 542 degrees Celsius, the pressure as 17.6 MPa, and the flow rate as 286.2 kg / s.

[0094] It will be apparent to those skilled in the art that the present 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 its spirit or essential characteristics. Therefore, the embodiments should be considered in all respects as exemplary and non-limiting, and the scope of the invention is defined by the appended claims rather than the foregoing description. Thus, all variations falling within the meaning and scope of equivalents of the claims are intended to be included within the present invention. No reference numerals in the claims should be construed as limiting the scope of the claims.

Claims

1. A data-based intelligent steam supply control method, characterized in that, The method includes the following steps: S1. Set a time interval t. Within the time interval t, collect and store the steam temperature T, pressure P, flow rate L, turbine speed N, generator load current I, and grid frequency f. S2. Convert the collected data into array format and store it; S3. Based on the array information, calculate the power and energy utilization rate of each component during boiler operation and construct a power generation model; S3 also includes the following steps: S3-1, Based on the steam enthalpy array [h1, h2...h i ] and steam flow array [L1, L2...L i Calculate the steam power W based on the enthalpy h0 at the time of steam discharge. 1i The calculation formula is as follows: , where h i L represents the vapor enthalpy value in the i-th time interval. i W represents the steam flow rate in the i-th time interval. 1i h0 represents the steam power during the i-th time interval, and h0 represents the enthalpy value corresponding to the temperature and pressure when the steam is discharged from the turbine. S3-2, Based on the turbine speed array [N1, N2...N... i ] Calculate the turbine power W 2i The calculation formula is as follows: ;where N i W represents the turbine speed during the i-th time interval. 2i This represents the turbine power at the i-th time interval, where Q represents the turbine torque, which is a constant; based on the generator load current array [I 11 I 12 ...I ji ] Calculate the generator power W 3i The calculation formula is as follows: ; where I ji W represents the generator load current in the i-th time interval of the j-th month. 3i V represents the generator power during the i-th time interval, and V represents the generator output voltage. S3-3, Based on steam power W 1i Steam turbine power W 2i Calculate the turbine energy utilization rate ξ i The calculation formula is as follows: ;where ξ i This represents the turbine energy utilization rate during the i-th time interval; based on the steam power W 1i and generator power W 3i Calculate the generator energy utilization rate η i The calculation formula is as follows: ;where η i This represents the generator energy utilization rate during the i-th time interval; S3-4. Set the energy utilization rate threshold K, when η i When η is less than K, discard the data collected in the i-th time interval. i When the value is greater than K, the collected data is retained to complete the calculation of generator energy utilization rate η. i Filtering; S3-5. Based on the selected generator energy utilization rate η i Obtain the generator load current I during the i-th time interval. i and turbine energy utilization rate ξ i The generator load current I i Steam turbine energy utilization rate ξ i and generator energy utilization rate η i Generate data points {(I1, ξ1, η1), (I2, ξ2, η2)...(I i ξ i η i By fitting the data points, a power generation model is established: Where a, b, and c represent fitting coefficients, I represents the first independent variable referring to the generator load current, ξ represents the second independent variable referring to the turbine energy utilization rate, and η represents the dependent variable referring to the generator energy utilization rate; calculate the fitting coefficients a, b, and c according to the following formulas: ； ； ； S4. Predict changes in grid demand and regulate steam based on the constructed power generation model.

2. The intelligent steam supply control method based on data analysis according to claim 1, characterized in that: S2 also includes the following steps: S2-1, The steam temperature T collected during the i-th time interval t i and steam pressure P i Generate data pairs array [(T1, P1), (T2, P2)...(T i P i Based on the relationship between steam temperature, pressure, and enthalpy in the data array, the steam enthalpy h is obtained. i Generate an array of vapor enthalpy values ​​[h1, h2...h] in chronological order. i ; Calculate the average steam flow rate within the time interval t from the (i-1)th to the ith time interval, and use the average steam flow rate as the steam flow rate L within the ith time interval t. i Generate a steam flow array [L1, L2...L] based on time sequence. i ], where h i L represents the vapor enthalpy value in the i-th time interval. i This represents the steam flow rate during the i-th time interval; S2-2. Calculate the average turbine speed within the time interval t from the (i-1)th time interval to the ith time interval, and take the average turbine speed as the turbine speed N within the ith time interval t. i Generate a turbine speed array [N1, N2...N] based on time sequence. i ], where N i This represents the turbine speed during the i-th time interval; S2-3. Obtain the maximum value of the generator load current within the time interval t from the (i-1)th to the ith time interval, and use the maximum value of the generator load current as the generator load current I within the ith time interval t. ji Generate generator load current array [I] according to time sequence 11 I 12 ...I ji ], where I ji This represents the generator load current during the i-th time interval of the j-th month; S2-4. Obtain the maximum value f of the power grid frequency within the time interval t from the (i-1)th to the ith time interval. max and the minimum value of the power grid frequency f min Compare |f max -X| and |f min -X|size, when |f max -X|greater than|f min -X| will f max The power grid frequency f within the time interval t i When |f max -X|less than|f min -X| will f min The power grid frequency f within the time interval t i Generate a power grid frequency array [f1, f2...f] based on time sequence. i ], where f i X represents the grid frequency during the i-th time interval, and X represents the set grid frequency.

3. The intelligent steam supply control method based on data analysis according to claim 1, characterized in that: S4 also includes the following steps: S4-1, Based on the generator load current array [I 11 I 12 ...I ji Calculate the average year-on-year growth rate for each time interval within the same month. Based on the average year-on-year growth rate, predict the generator load current I for the next time period of the current month. ji+1 The calculation formula is as follows: ； in I represents the generator current load in the j-th month of the previous year at the i-th time interval. ji+1 This represents the predicted generator current load at the (i+1)th time interval in the j-th month; S4-2. Based on the power grid frequency array [f1, f2...f...] i Set d time intervals t, compare the absolute value of the power grid frequency f minus X within each time interval, and take the power grid frequency with the largest calculated result as the power grid frequency f for the next time interval. i+1 Based on the predicted power grid frequency f i+1 Calculate the turbine speed N i+1 The calculation formula is as follows: Where M represents the number of pole pairs of the generator; S4-3, Based on the predicted generator load current I ji+1 and turbine speed N i+1 Calculate the steam flow rate L at the generator's maximum energy utilization rate based on the following set of equations. i+1 enthalpy value h i+1 : ； Obtain steam flow rate L i+1 enthalpy value h i+1 By analyzing the relationship between enthalpy and steam temperature and pressure, the steam temperature T is determined. i+1 Pressure P i+1 and flow L i+1 The adjustment amount of steam based on the predicted result is calculated using the formula: △T = T i+1 -T i ; △P=P i+1 -P i ; △L=L i+1 -L i Adjust the steam drum valves according to the changes in steam output.

4. A data-analysis-based intelligent steam supply control system, applied to the data-analysis-based intelligent steam supply control method described in any one of claims 1-3, characterized in that: The system includes a data acquisition module, a data storage module, a sample data analysis module, and a prediction and control module; The data acquisition module is used to collect information on the operation of steam, steam turbine, generator, and power grid; the data storage module is used to store the information collected by the data acquisition module and store the collected information in array form; the sample data analysis module is used to calculate the power and energy utilization rate of each component of the boiler during operation and fit a power generation model based on the calculated data points; the prediction and control module is used to predict changes in the power grid and control the input steam according to the changes. The output of the data acquisition module is connected to the input of the data storage module, and the output of the data storage module is connected to the input of the sample data analysis module and the input of the prediction and control module; the output of the sample data analysis module is connected to the input of the prediction and control module.

5. The intelligent steam supply control system based on data analysis according to claim 4, characterized in that: The data acquisition module includes a steam information acquisition unit, a steam turbine information acquisition unit, a generator information acquisition unit, and a power grid information acquisition unit; The steam information acquisition unit uses a thermocouple temperature sensor to acquire steam temperature, a gauge pressure sensor to acquire steam pressure, and a flow meter to acquire steam flow rate; the turbine information acquisition unit uses an eddy current speed sensor to acquire turbine speed; the generator information acquisition unit uses a Hall effect sensor to acquire generator load current; and the power grid information acquisition unit uses a frequency meter to acquire power grid frequency.

6. The intelligent steam supply control system based on data analysis according to claim 4, characterized in that: The sample data analysis module includes a power calculation unit, an energy utilization calculation unit, and a power generation model establishment unit. The power calculation unit is used to calculate the steam output power, the steam turbine output power, and the generator output power; the energy utilization calculation unit is used to calculate the steam turbine energy utilization rate and the generator energy utilization rate. The generator model building unit forms data points based on the collected data and calculation results to fit the generator model.

7. The intelligent steam supply control system based on data analysis according to claim 5, characterized in that: The prediction and control module includes a load current prediction unit, a power grid frequency prediction unit, and a control unit. The load current prediction unit uses the collected load current trend to predict the load current for the next time period; the grid frequency prediction unit uses the collected grid frequency trend to predict the grid frequency for the next time period; the control unit uses the predicted load current, grid frequency, and power generation model to control the steam temperature, pressure, and flow rate.

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