A simulation dynamic simulation control system for blast furnace gas pressure power generation

Abstract

The present application belongs to the technical field of blast furnace gas pressure power generation, and provides a blast furnace gas pressure power generation simulation dynamic simulation control system, which comprises: processing and analysis based on simulation running time and actual running time to obtain data state value YC; based on the data state value YC, judging whether there is a gap between the time node of the simulation system obtaining data and the actual time node of the TRT unit obtaining data, if there is, generating a data abnormal signal; based on data transmission rate fluctuation value SB and data transmission rate instantaneous fluctuation value TB to obtain data transmission rate fluctuation influence value CB; and according to the data transmission rate fluctuation influence value CB, judging the influence of the data transmission rate on the data abnormal signal. The present application determines the factors affecting the generation of the data abnormal signal through the correlation between the data transmission rate and the data abnormal signal, and is beneficial to timely adjusting the simulation system when the data abnormal signal is generated.

Description

TECHNICAL FIELD

[0001] The present application belongs to the technical field of blast furnace gas pressure power generation, in particular to a blast furnace gas pressure power generation simulation dynamic simulation control system. BACKGROUND

[0002] Blast furnace gas is a byproduct of the blast furnace ironmaking process, mainly composed of carbon monoxide, carbon dioxide, nitrogen and a small amount of hydrogen, with high calorific value, low pollution, flammable and explosive characteristics, etc. The blast furnace gas pressure power generation system is an efficient energy recovery and utilization system, which utilizes the pressure energy and heat energy of the byproduct of the blast furnace smelting process, blast furnace top gas, to generate electricity. The simulation dynamic simulation control system can simulate the actual operation of the system by modeling and simulating each component of the blast furnace gas pressure power generation system, thereby realizing the functions of optimal design, fault diagnosis, performance evaluation, etc.

[0003] However, in the above prior art, the blast furnace gas pressure power generation simulation dynamic simulation control system lacks analysis of data synchronization in the data transmission process in actual application, which leads to inaccurate simulation data of the blast furnace gas pressure power generation simulation dynamic simulation control system.

[0004] Therefore, the present application provides a blast furnace gas pressure power generation simulation dynamic simulation control system. SUMMARY

[0005] In order to make up for the shortcomings of the prior art and solve at least one technical problem raised in the background art.

[0006] The technical scheme adopted by the present application to solve its technical problems is: a blast furnace gas pressure power generation simulation dynamic simulation control system, comprising:

[0007] The data acquisition module: in the detection period, the actual operation of the TRT unit is monitored in real time to obtain the actual operation data, the running time of the TRT unit is obtained, which is marked as actual running time, in the simulation running process, the required simulation data is collected, which is marked as simulation running data, the running time of the simulation system is obtained, which is marked as simulation running time;

[0008] The data analysis module: based on the processing and analysis of the simulation running time and the actual running time, the error node number ratio CW and the time deviation degree ratio PC are obtained, based on the error node number ratio CW and the time deviation degree ratio PC, the data state value YC is obtained through data processing;

[0009] The signal generation module: based on the data state value YC, it is judged whether there is a gap between the time node of the simulation system obtaining data and the time node of the TRT unit actually obtaining data, if there is, an abnormal data signal is generated;

[0010] The influence analysis module: based on the data anomaly signal, the data transmission rate value of each time node is obtained, the data transmission rate fluctuation value SB is obtained based on the data transmission rate value of each time node, the data transmission rate instantaneous fluctuation value TB is obtained based on the real-time transmission rate value of the data at the error time node, the data transmission rate fluctuation influence value CB is obtained based on the data transmission rate fluctuation value SB and the data transmission rate instantaneous fluctuation value TB, and the influence of the data transmission rate on the data anomaly signal is judged according to the data transmission rate fluctuation influence value CB.

[0011] As a further scheme of the application: the data state value YC is obtained by:

[0012] The error node number proportion CW and the time deviation degree proportion PC are processed, and the formula is: The data state value YC is calculated, wherein a1 and a2 are preset proportion coefficients, and a1 and a2 are greater than 0.

[0013] As a further scheme of the application: the error node number proportion CW is obtained by:

[0014] The number of error time nodes is counted, and the error node number proportion CW is obtained by ratio processing with the number of divided time nodes.

[0015] As a further scheme of the application: the time deviation degree proportion PC is obtained by:

[0016] The time of the error time node is subtracted from the time of the corresponding actual time node, and the absolute value is taken, to obtain the time deviation, the sum of all time deviations is taken, and the mean value is taken, to obtain the time deviation mean value, and the time deviation mean value is taken. The ratio processing is carried out between the preset time deviation mean value, and the time deviation degree proportion PC is obtained.

[0017] As a further scheme of the application: the data transmission rate fluctuation value SB is obtained by:

[0018] The real-time transmission rate fluctuation area ratio and the real-time transmission rate fluctuation curve overlap length ratio are summed, and the data transmission rate fluctuation value SB is obtained.

[0019] As a further scheme of the application: the real-time transmission rate fluctuation area ratio is obtained by:

[0020] The area surrounded by the reference line and the real-time transmission rate fluctuation curve and the area surrounded by the reference line and the X-axis are measured, and the area surrounded by the reference line and the real-time transmission rate fluctuation curve and the area surrounded by the reference line and the X-axis are processed by ratio, to obtain a real-time transmission rate fluctuation area ratio.

[0021] As a further scheme of the application, the real-time transmission rate fluctuation curve overlap length ratio is obtained by:

[0022] The overlap length between the reference line and the real-time transmission rate fluctuation curve and the length of the reference line are measured, and the overlap length between the reference line and the real-time transmission rate fluctuation curve and the length of the reference line are processed by ratio, to obtain a real-time transmission rate fluctuation curve overlap length ratio.

[0023] As a further scheme of the application, the data transmission rate fluctuation influence value CB is obtained by:

[0024] The data transmission rate fluctuation value SB and the data transmission rate instantaneous fluctuation value TB are processed by data, and the data transmission rate fluctuation influence value CB is calculated by the formula: CB = b1 x SB + b2 x TB, wherein b1 and b2 are both preset proportion coefficients, and b1 and b2 are both greater than 0.

[0025] As a further scheme of the application, the data transmission rate instantaneous fluctuation value TB is obtained by:

[0026] The real-time transmission rate value of the data at the error time node is obtained, and is processed by difference with the real-time transmission rate standard value, and the result is taken as an absolute value, to obtain a real-time transmission rate deviation value of the data at the error time node, and the real-time transmission rate deviation value of the data at the error time node is processed by ratio with the real-time transmission rate standard value, to obtain a data transmission rate instantaneous fluctuation value TB.

[0027] As a further scheme of the application, the acquisition method of the influence degree of the data transmission rate on the data abnormal signal is:

[0028] The data transmission rate fluctuation influence value CB is compared with the data transmission rate fluctuation influence value threshold:

[0029] If the data transmission rate fluctuation influence value CB is greater than the data transmission rate fluctuation influence value threshold, the influence degree of the data transmission rate on the data abnormal signal is greater.

[0030] If the data transmission rate fluctuation influence value CB is less than or equal to the data transmission rate fluctuation influence value threshold, the influence degree of the data transmission rate on the data abnormal signal is smaller.

[0031] The beneficial effects of the application are as follows:

[0032] (1) The present application is based on real-time monitoring of the actual operation of the TRT unit during the detection period, obtaining actual operation data, obtaining the operation time of the TRT unit, marking it as actual operation time, collecting the required simulation data during the simulation operation, marking it as simulation operation data, obtaining the operation time of the simulation system, marking it as simulation operation time, based on the processing and analysis of the simulation operation time and the actual operation time, obtaining the error node number ratio CW and the time deviation degree ratio PC, based on the error node number ratio CW and the time deviation degree ratio PC, obtaining the data state value YC, based on the data state value YC, judging whether there is a gap between the time node of the simulation system obtaining data and the actual time node of the TRT unit obtaining data, if there is, generating a data anomaly signal, the present application analyzes the data synchronization and asynchronization between the TRT unit operation data and the simulation system, which is beneficial to the accuracy of data transmission and the guarantee of the same data received by the simulation system and the actual data of the TRT unit operation.

[0033] (2) The present application is based on the data anomaly signal, obtaining the data transmission rate value of each time node, based on the data transmission rate value of each time node, obtaining the data transmission rate fluctuation value SB, according to the real-time transmission rate value of data in the error time node, obtaining the data transmission rate instantaneous fluctuation value TB, based on the data transmission rate fluctuation value SB and the data transmission rate instantaneous fluctuation value TB, obtaining the data transmission rate fluctuation influence value CB, according to the data transmission rate fluctuation influence value CB, judging the influence of data transmission rate on data anomaly signal, the present application determines the factors affecting the generation of data anomaly signal through the correlation between data transmission rate and data anomaly signal, which is beneficial to timely adjusting the simulation system when generating data anomaly signal. BRIEF DESCRIPTION OF DRAWINGS

[0034] The present application will be further described below with reference to the accompanying drawings.

[0035] Figure 1 is a program block diagram of a blast furnace gas pressure recovery power generation simulation dynamic simulation control system according to an embodiment of the present application;

[0036] Figure 2 is a data transmission rate fluctuation influence value CB acquisition method flow chart of a blast furnace gas pressure recovery power generation simulation dynamic simulation control system according to an embodiment of the present application. DETAILED DESCRIPTION

[0037] In order to make the technical means, creative features, purposes and effects realized by the present application easy to understand, the present application will be further described below with reference to the specific embodiments.

[0038] Example 1

[0039] like Figure 1 As shown in the embodiment of the present invention, a dynamic simulation control system for blast furnace gas residual pressure power generation includes:

[0040] Data acquisition module: During the detection period, the actual operation of the TRT unit is monitored in real time to obtain actual operation data, the operating time of the TRT unit is obtained and marked as the actual operating time, the required simulation data is collected during the simulation operation and marked as simulation operation data, and the operating time of the simulation system is obtained and marked as simulation operation time.

[0041] Data Analysis Module: Based on the processing and analysis of simulation running time and actual running time, the module obtains the percentage of error nodes (CW) and the percentage of time deviation (PC). Based on the percentage of error nodes (CW) and the percentage of time deviation (PC), the module performs data processing to obtain the data status value (YC).

[0042] When data is transmitted synchronously, the actual running time is divided into multiple time nodes, which are sequentially marked as the 1st actual time node, the 2nd actual time node, ..., the i-th actual time node, where i represents the actual time node number, i = 1, 2, 3...n;

[0043] The simulation running time within the same detection cycle is divided into time nodes with the same time interval, and these nodes are sequentially labeled as the 1st simulation time node, the 2nd simulation time node, ..., the jth simulation time node, where j represents the simulation time node number, j = 1, 2, 3...n;

[0044] Compare the simulation data at each time point with the actual data at the same time point:

[0045] If the simulation data at the current time point is the same as the actual data, then mark the current simulation time point as the correct time point.

[0046] If the simulation data at the current time point is different from the actual data, then the current simulation time point will be marked as an error time point.

[0047] The number of erroneous time points is counted, and the ratio of this number to the total number of time points is calculated to obtain the percentage of erroneous time points, CW.

[0048] The time difference between the time of the error time node and the time of the corresponding actual time node is processed by difference and taking the absolute value to obtain a time deviation. All time deviations are processed by summation and averaging to obtain a time deviation mean. The time deviation mean is processed by ratio with a preset time deviation mean to obtain a time deviation degree proportion PC.

[0049] It should be noted that the preset time deviation value is set by the person skilled in the art according to past experience;

[0050] The error node number proportion CW and the time deviation degree proportion PC are processed by data to obtain a data state value YC by the formula: The data state value YC is calculated, wherein a1 and a2 are preset proportion coefficients, and a1 and a2 are both greater than 0;

[0051] The signal generation module: based on the data state value YC, judges whether there is a gap between the time node of the simulation system obtaining data and the actual time node of the TRT unit obtaining data, if there is, generates a data abnormal signal;

[0052] In some embodiments, the data state value YC is compared with a data state threshold value:

[0053] If the data state value YC is greater than the data state threshold value, a data abnormal signal is generated;

[0054] If the data state value YC is less than or equal to the data state threshold value, a data normal signal is generated;

[0055] It should be noted that the data state value YC is obtained by data processing of the error node number proportion CW and the deviation degree proportion PC, wherein the error node number proportion CW reflects the number of time nodes of the simulation time node and the actual time node of the data, the more the error number, the more the number of time nodes of the simulation time node and the actual time node of the data, the deviation degree proportion PC reflects the time deviation between the time corresponding to the error time node and the time corresponding to the actual time node, the greater the time deviation, the higher the time difference degree of the error time node and the corresponding time node;

[0056] The technical scheme of the embodiment of the present application is as follows: in a detection period, the actual operation of the TRT unit is monitored in real time to obtain actual operation data, the operation time of the TRT unit is obtained and is marked as actual operation time, in the simulation operation process, the required simulation data is collected and is marked as simulation operation data, the operation time of the simulation system is obtained and is marked as simulation operation time, based on the processing and analysis of the simulation operation time and the actual operation time, the error node number ratio CW and the time deviation degree ratio PC are obtained, based on the error node number ratio CW and the time deviation degree ratio PC, data processing is performed to obtain the data state value YC, based on the data state value YC, whether there is a gap between the time node at which the simulation system obtains data and the time node at which the TRT unit actually obtains data is judged, if there is, a data anomaly signal is generated, the present application analyzes the data isochronism and anisochronism between the TRT unit operation data and the simulation system data transmission, is conducive to the accuracy of data transmission, and is conducive to ensuring that the data received by the simulation system is the same as the actual data of the TRT unit operation.

[0057] Embodiment 2

[0058] As shown in Figure 2 based on the basis of embodiment 1, the blast furnace gas excess pressure power generation simulation dynamic simulation control system described in the embodiment of the present application comprises:

[0059] The influence analysis module: based on the data anomaly signal, the data transmission rate value of each time node is obtained, based on the data transmission rate value of each time node, the data transmission rate fluctuation value SB is obtained by processing and analysis, according to the real-time transmission rate value of data at the error time node, the data transmission rate instantaneous fluctuation value TB is obtained by processing and analysis, based on the data transmission rate fluctuation value SB and the data transmission rate instantaneous fluctuation value TB, data processing is performed to obtain the data transmission rate fluctuation influence value CB, according to the data transmission rate fluctuation influence value CB, the influence of the data transmission rate on the data anomaly signal is judged;

[0060] The X-Y two-dimensional coordinate system is constructed with the time node as the X-axis and the data real-time transmission rate value of the time node as the Y-axis, the data real-time transmission rate value of the time node is obtained and is marked in the X-Y two-dimensional coordinate system, the marked data real-time transmission rate value data points are connected to obtain a real-time transmission rate fluctuation curve;

[0061] The data real-time transmission rate standard value is marked as a reference value on the Y-axis, and a reference line parallel to the X-axis is drawn through the reference value;

[0062] The area surrounded between the reference line and the real-time transmission rate fluctuation curve and the area surrounded between the reference line and the X-axis are measured, and the area surrounded between the reference line and the real-time transmission rate fluctuation curve and the area surrounded between the reference line and the X-axis are processed by ratio, to obtain a real-time transmission rate fluctuation area ratio;

[0063] The length of overlap between the reference line and the real-time transmission rate fluctuation curve and the length of the reference line are measured, and the length of overlap between the reference line and the real-time transmission rate fluctuation curve and the length of the reference line are processed by ratio, to obtain a real-time transmission rate fluctuation curve overlap length ratio;

[0064] The real-time transmission rate fluctuation area ratio and the real-time transmission rate fluctuation curve overlap length ratio are summed, to obtain a data transmission rate fluctuation value SB;

[0065] The real-time transmission rate value of the data at the error time node is obtained, and is processed by difference with the real-time transmission rate standard value, and the result is taken as an absolute value, to obtain a real-time transmission rate deviation value of the data at the error time node, and the real-time transmission rate deviation value of the data at the error time node is processed by ratio with the real-time transmission rate standard value, to obtain a data transmission rate instantaneous fluctuation value TB;

[0066] The data transmission rate fluctuation value SB and the data transmission rate instantaneous fluctuation value TB are processed by data, and the data transmission rate fluctuation influence value CB is calculated by the formula: CB = b1 x SB + b2 x TB, wherein b1 and b2 are both preset proportion coefficients, and b1 and b2 are both greater than 0;

[0067] The data transmission rate fluctuation influence value CB is compared with the data transmission rate fluctuation influence value threshold value:

[0068] If the data transmission rate fluctuation influence value CB is greater than the data transmission rate fluctuation influence value threshold value, the influence degree of the data transmission rate on the data abnormal signal is greater;

[0069] If the data transmission rate fluctuation influence value CB is less than or equal to the data transmission rate fluctuation influence value threshold value, the influence degree of the data transmission rate on the data abnormal signal is smaller;

[0070] The technical scheme of the embodiment of the present application is: based on the data abnormal signal, obtaining the data transmission rate value of each time node, processing and analyzing the data transmission rate value of each time node to obtain the data transmission rate fluctuation value SB, processing and analyzing the real-time transmission rate value of the data at the error time node to obtain the data transmission rate instantaneous fluctuation value TB, performing data processing based on the data transmission rate fluctuation value SB and the data transmission rate instantaneous fluctuation value TB to obtain the data transmission rate fluctuation influence value CB, and judging the influence size of the data transmission rate on the data abnormal signal according to the data transmission rate fluctuation influence value CB. The present application determines the factors affecting the generation of the data abnormal signal by the correlation between the data transmission rate and the data abnormal signal, which is beneficial to timely adjusting the simulation system when the data abnormal signal is generated.

[0071] The basic principles, main features and advantages of the present application are shown and described above. Those skilled in the art should understand that the present application is not limited to the above embodiments, and the above embodiments and descriptions in the specification are only to illustrate the principles of the present application. Without departing from the spirit and scope of the present application, various changes and improvements can be made to the present application, and these changes and improvements all fall within the scope of the present application. The scope of protection of the present application is defined by the appended claims and their equivalents.

Claims

1. A dynamic simulation control system for blast furnace gas residual pressure power generation, characterized in that: The application relates to a TRT (top gas recycling turbine) unit data abnormality signal generation method. The data acquisition module: in a detection period, actual operation data of a TRT unit are obtained by real-time monitoring of actual operation of the TRT unit, operation time of the TRT unit is obtained, and the operation time is marked as actual operation time; in the simulation operation process, simulation data required by the simulation system are collected, and the simulation data are marked as simulation operation data; operation time of the simulation system is obtained, and the operation time is marked as simulation operation time; The data analysis module: based on processing and analysis of the simulation operation time and the actual operation time, error node quantity proportion CW and time deviation degree proportion PC are obtained; based on the error node quantity proportion CW and the time deviation degree proportion PC, data processing is performed to obtain a data state value YC; The data state value YC is obtained in the following manner: The error node number proportion CW and the time deviation degree proportion PC are processed, and a data state value YC is calculated through a formula: wherein a1 and a2 are preset proportion coefficients, and a1 and a2 are greater than 0. The error node quantity proportion CW is obtained in the following manner: The error node quantity proportion CW is obtained in the following manner: The time deviation degree proportion PC is obtained in the following manner: The time deviation degree proportion PC is obtained in the following manner: The signal generation module: based on the data state value YC, whether there is a gap between a time node of simulation system data acquisition and a time node of actual TRT unit data acquisition is judged; if there is a gap, a data abnormality signal is generated; The influence analysis module: based on the data abnormality signal, a data transmission rate value of each time node is obtained; based on the data transmission rate value of each time node, a data transmission rate fluctuation value SB is obtained through processing and analysis; according to real-time transmission rate values of data at error time nodes, a data transmission rate instantaneous fluctuation value TB is obtained through processing and analysis; based on the data transmission rate fluctuation value SB and the data transmission rate instantaneous fluctuation value TB, data processing is performed to obtain a data transmission rate fluctuation influence value CB; according to the data transmission rate fluctuation influence value CB, the influence of the data transmission rate on the data abnormality signal is judged.

2. The simulation dynamic simulation control system for the blast furnace top gas pressure recovery boiler of claim 1, wherein: The data transmission rate fluctuation value SB is obtained in the following manner: The data transmission rate fluctuation value SB is obtained in the following manner:

3. The simulation dynamic simulation control system of the blast furnace gas cogeneration power generation according to claim 2, characterized in that: The real-time transmission rate fluctuation area ratio is obtained in the following manner: The real-time transmission rate fluctuation area ratio is obtained in the following manner:

4. The simulation dynamic simulation control system of the blast furnace gas cogeneration power generation according to claim 2, characterized in that: The real-time transmission rate fluctuation curve overlap length ratio is obtained in the following manner: The real-time transmission rate fluctuation curve overlap length ratio is obtained in the following manner:

5. The simulation dynamic simulation control system of the blast furnace gas combined cycle according to claim 1, characterized in that: The data transmission rate fluctuation influence value CB is obtained in the following manner: The data transmission rate fluctuation value SB is processed with the data transmission rate instantaneous fluctuation value TB through a formula: The data transmission rate fluctuation influence value CB is calculated, wherein b1 and b2 are both preset proportion coefficients, and b1 and b2 are both greater than 0.

6. The simulation dynamic simulation control system of the blast furnace gas cogeneration power generation according to claim 5, characterized in that: The data transmission rate instantaneous fluctuation value TB is obtained in the following manner: The real-time transmission rate value of the data at the error time node is obtained, and is differentially processed with the real-time transmission rate standard value, and the result is taken as an absolute value to obtain the real-time transmission rate deviation value of the data at the error time node, and the real-time transmission rate deviation value of the data at the error time node is processed in a ratio with the real-time transmission rate standard value to obtain the data transmission rate instantaneous fluctuation value TB.

7. The simulation dynamic simulation control system of the blast furnace gas cogeneration power generation according to claim 6, characterized in that: The manner of obtaining the influence degree of the data transmission rate on the data abnormal signal is as follows: The data transmission rate fluctuation influence value CB is compared with the data transmission rate fluctuation influence value threshold value: If the data transmission rate fluctuation influence value CB is greater than the data transmission rate fluctuation influence value threshold value, the influence degree of the data transmission rate on the data abnormal signal is greater; If the data transmission rate fluctuation influence value CB is less than or equal to the data transmission rate fluctuation influence value threshold value, the influence degree of the data transmission rate on the data abnormal signal is smaller.

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