Dynamic simulation control system for blast furnace gas residual pressure power generation simulation

Abstract

The invention belongs to the technical field of blast furnace gas residual pressure power generation, and provides a blast furnace gas residual pressure power generation simulation dynamic simulation control system which comprises the steps that a data state value YC is obtained based on processing analysis of simulation operation time and actual operation time, and a data state value YC is obtained based on the data state value YC; judging whether a difference exists between the time node of the simulation system for acquiring the data and the time node of the TRT unit for actually acquiring the data, if so, generating a data abnormal signal, performing data processing based on the data transmission rate fluctuation value SB and the data transmission rate instantaneous fluctuation value TB to obtain a data transmission rate fluctuation influence value CB, and performing data processing based on 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 abnormal signal is judged, according to the relevance between the data transmission rate and the data abnormal signal, the factors influencing the generation of the data abnormal signal are determined, and the simulation system can be adjusted in time when the data abnormal signal is generated.

Description

Technical Field

[0001] The invention belongs to the technical field of blast furnace gas excess pressure power generation, in particular to a blast furnace gas excess pressure power generation simulation dynamic emulation control system. Background Art

[0002] Blast furnace gas is a by-product produced in the blast furnace iron-making process. It is mainly composed of carbon monoxide, carbon dioxide, nitrogen and a small amount of hydrogen. It has the characteristics of high calorific value, low pollution, flammability and explosion. The blast furnace gas waste pressure power generation system is a highly efficient energy recovery and utilization system. It uses the pressure energy and thermal energy of the blast furnace top gas, a by-product produced in the blast furnace smelting process, to generate electricity. The dynamic simulation control system can model and simulate the various components of the blast furnace gas waste pressure power generation system, simulate the actual operation of the system, and thus realize the optimization design, fault diagnosis, performance evaluation and other functions of the system.

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

[0004] To this end, the present invention provides a blast furnace gas residual pressure power generation simulation dynamic simulation control system. Summary of the invention

[0005] In order to make up for the deficiencies of the prior art, at least one technical problem raised in the background technology is solved.

[0006] The technical solution adopted by the present invention to solve the technical problem is: a blast furnace gas residual pressure power generation simulation dynamic simulation control system, comprising:

[0007] Data acquisition module: During the detection period, the actual operation of the TRT unit is monitored in real time to obtain the actual operation data, the operation time of the TRT unit is obtained, and it is marked as the actual operation time. During the simulation operation, the required simulation data is collected and marked as the simulation operation data, and the operation time of the simulation system is obtained and marked as the simulation operation time.

[0008] 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, data processing is performed to obtain the data status value YC;

[0009] Signal generation module: Based on the data status value YC, it is determined whether there is a gap between the time node when the simulation system acquires data and the time node when the TRT unit actually acquires data. If so, a data abnormality signal is generated;

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

[0011] As a further solution of the present invention: the data state value YC is obtained in the following manner:

[0012] The proportion of the number of error nodes CW and the proportion of time deviation PC are processed by the formula: The data state value YC is calculated, where a1 and a2 are preset proportional coefficients, and both a1 and a2 are greater than 0.

[0013] As a further solution of the present invention: the method for obtaining the error node quantity ratio CW is:

[0014] The number of error time nodes is counted, and the ratio is processed with the number of divided time nodes to obtain the error node ratio CW.

[0015] As a further solution of the present invention: the time deviation ratio PC is obtained in the following manner:

[0016] The time of the error time node is obtained and the time of the corresponding actual time node is subtracted, and the absolute value is taken to obtain the time deviation. All time deviations are summed and averaged to obtain the time deviation mean. The time deviation mean is compared with the preset time deviation mean to obtain the time deviation degree ratio PC.

[0017] As a further solution of the present invention: the data transmission rate fluctuation value SB is obtained in the following manner:

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

[0019] As a further solution of the present invention: the real-time transmission rate fluctuation area ratio is obtained in the following manner:

[0020] The area enclosed between the baseline and the real-time transmission rate fluctuation curve and the area enclosed between the baseline and the X-axis are measured, and the area enclosed between the baseline and the real-time transmission rate fluctuation curve and the area enclosed between the baseline and the X-axis are ratio-processed to obtain the real-time transmission rate fluctuation area ratio.

[0021] As a further solution of the present invention: the method for obtaining the overlap length ratio of the real-time transmission rate fluctuation curve is:

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

[0023] As a further solution of the present invention: the data transmission rate fluctuation impact value CB is obtained in the following manner:

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

[0025] As a further solution of the present invention: the instantaneous fluctuation value TB of the data transmission rate is obtained in the following manner:

[0026] Obtain the real-time transmission rate value of the data at the error time node, perform difference processing on it and the standard value of the real-time transmission rate, and take the absolute value of the result to obtain the real-time transmission rate deviation value of the data at the error time node, and perform ratio processing on the real-time transmission rate deviation value of the data at the error time node and the standard value of the real-time transmission rate to obtain the instantaneous fluctuation value TB of the data transmission rate.

[0027] As a further solution of the present invention: the method for determining the influence of the data transmission rate on the data abnormality signal is as follows:

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

[0029] If the data transmission rate fluctuation impact value CB is greater than the data transmission rate fluctuation impact value threshold, the data transmission rate has a greater impact on the data anomaly signal;

[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 data transmission rate has little influence on the data abnormality signal.

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

[0032] (1) The present invention is based on real-time monitoring of the actual operation of the TRT unit within the detection period, obtaining the actual operation data, obtaining the operation time of the TRT unit, and marking it as the actual operation time. During the simulation operation process, the required simulation data is collected and marked as the simulation operation data, and the operation time of the simulation system is obtained and marked as the 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 status value YC. Based on the data status value YC, it is determined whether there is a gap between the time node when the simulation system obtains data and the time node when the TRT unit actually obtains data. If so, a data abnormality signal is generated. The present invention analyzes the data synchronization and asynchronism between the TRT unit operation data and the simulation system, which is beneficial to the accuracy of data transmission and to ensure that the data received by the simulation system is the same as the actual data of the TRT unit operation.

[0033] (2) Based on the data anomaly signal, the present invention obtains the data transmission rate value of each time node, obtains the data transmission rate fluctuation value SB based on the data transmission rate value processing and analysis of each time node, obtains the data transmission rate instantaneous fluctuation value TB based on the real-time transmission rate value processing and analysis of the data at the error time node, performs data processing based on the data transmission rate fluctuation value SB and the data transmission rate instantaneous fluctuation value TB, obtains the data transmission rate fluctuation influence value CB, and judges the influence of the data transmission rate on the data anomaly signal based on the data transmission rate fluctuation influence value CB. The present invention determines the factors that affect the generation of the data anomaly signal through the correlation between the data transmission rate and the generation of the data anomaly signal, which is beneficial to timely adjustment of the simulation system when generating the data anomaly signal. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] The present invention will be further described below in conjunction with the accompanying drawings.

[0035] Figure 1 It is a flowchart of a blast furnace gas residual pressure power generation simulation dynamic simulation control system according to an embodiment of the present invention;

[0036] Figure 2 It is a flow chart of a method for obtaining a data transmission rate fluctuation impact value CB of a blast furnace gas excess pressure power generation simulation dynamic simulation control system described in an embodiment of the present invention. DETAILED DESCRIPTION

[0037] In order to make the technical means, creative features, objectives and effects achieved by the present invention easy to understand, the present invention is further explained below in conjunction with specific implementation methods.

[0038] Example 1

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

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

[0041] 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, data processing is performed to obtain the data status value YC;

[0042] When data is transmitted in a synchronous transmission mode, the actual running time is divided into a plurality of time nodes, which are marked in chronological order as the first actual time node, the second actual time node, ... the i-th actual time node, where i represents the actual time node number, i=1, 2, 3...n;

[0043] Divide the simulation running time in the same detection cycle into time nodes with the same time interval, and mark them in chronological order as the first simulation time node, the second 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 running data of each time node with the actual running data corresponding to the same time node:

[0045] If the simulation running data corresponding to the current time node is the same as the actual running data, the current simulation time node is marked as the correct time node;

[0046] If the simulation running data corresponding to the current time node is different from the actual running data, the current simulation time node is marked as an error time node;

[0047] Count the number of error time nodes, and compare it with the number of divided time nodes to get the error node ratio CW;

[0048] The time of the error time node is obtained and the time of the corresponding actual time node is subtracted, and the absolute value is taken to obtain the time deviation. All time deviations are summed and averaged to obtain the time deviation mean. The time deviation mean is compared with the preset time deviation mean to obtain the time deviation degree ratio PC.

[0049] It should be noted that the preset time deviation value is set by those skilled in the art based on previous experience;

[0050] The proportion of the number of error nodes CW and the proportion of time deviation PC are processed by the formula: The data state value YC is calculated, where a1 and a2 are preset proportional coefficients, and both a1 and a2 are greater than 0;

[0051] Signal generation module: Based on the data status value YC, it is determined whether there is a gap between the time node when the simulation system acquires data and the time node when the TRT unit actually acquires data. If so, a data abnormality signal is generated;

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

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

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

[0055] It should be noted that the data status value YC is obtained by processing the error node number ratio CW and the deviation degree ratio PC. The error node number ratio CW reflects the number of time nodes where the data obtained by the simulation time node is different from that of the actual time node. The more errors there are, the more time nodes where the data obtained by the simulation time node is different from that of the actual time node. The deviation degree ratio PC reflects the time deviation between the time corresponding to the error time node and the time corresponding to the actual time node. The larger the time deviation, the higher the degree of time difference between the error time node and the corresponding time node.

[0056] The technical solution of the embodiment of the present invention is: within the detection period, the actual operation of the TRT unit is monitored in real time to obtain the actual operation data, the operation time of the TRT unit is obtained, and it is marked as the actual operation time. During the simulation operation, the required simulation data is collected and marked as the simulation operation data, the operation time of the simulation system is obtained and marked as the 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 status value YC. Based on the data status value YC, it is determined whether there is a gap between the time node when the simulation system obtains data and the time node when the TRT unit actually obtains data. If so, a data abnormality signal is generated. The present invention analyzes the data synchronization and asynchronism between the TRT unit operation data and the simulation system, which is beneficial to the accuracy of data transmission and to ensure that the data received by the simulation system is the same as the actual data of the TRT unit operation.

[0057] Example 2

[0058] like Figure 2 As shown, based on Example 1, a blast furnace gas residual pressure power generation simulation dynamic simulation control system described in an embodiment of the present invention includes:

[0059] Impact analysis module: based on the data anomaly signal, obtain the data transmission rate value of each time node, process and analyze the data transmission rate value of each time node to obtain the data transmission rate fluctuation value SB, process and analyze the real-time transmission rate value of the data at the error time node to obtain the data transmission rate instantaneous fluctuation value TB, perform 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 impact value CB, and judge the impact of the data transmission rate on the data anomaly signal according to the data transmission rate fluctuation impact value CB;

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

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

[0062] Measuring the area enclosed between the baseline and the real-time transmission rate fluctuation curve and the area enclosed between the baseline and the X-axis, and performing ratio processing on the area enclosed between the baseline and the real-time transmission rate fluctuation curve and the area enclosed between the baseline and the X-axis to obtain a real-time transmission rate fluctuation area ratio;

[0063] Measuring the overlap length between the baseline and the real-time transmission rate fluctuation curve and the length of the baseline, performing ratio processing on the overlap length between the baseline and the real-time transmission rate fluctuation curve and the length of the baseline to obtain the overlap length ratio of the real-time transmission rate fluctuation curve;

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

[0065] Obtain the real-time transmission rate value of the data at the error time node, perform difference processing on it and the standard value of the real-time transmission rate, and take the absolute value of the result to obtain the real-time transmission rate deviation value of the data at the error time node, and perform ratio processing on the real-time transmission rate deviation value of the data at the error time node and the standard value of the real-time transmission rate to obtain the instantaneous fluctuation value TB of the data transmission rate;

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

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

[0068] If the data transmission rate fluctuation impact value CB is greater than the data transmission rate fluctuation impact value threshold, the data transmission rate has a greater impact on the data anomaly signal;

[0069] If the data transmission rate fluctuation impact value CB is less than or equal to the data transmission rate fluctuation impact value threshold, the data transmission rate has a small impact on the data anomaly signal;

[0070] The technical solution of the embodiment of the present invention is: based on the data anomaly signal, the data transmission rate value of each time node is obtained, based on the data transmission rate value processing and analysis of each time node, the data transmission rate fluctuation value SB is obtained, according to the real-time transmission rate value processing and analysis of the data at the error time node, the data transmission rate instantaneous fluctuation value TB is obtained, 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, the present invention determines the factors affecting the generation of the data anomaly signal through the correlation between the data transmission rate and the generation of the data anomaly signal, which is conducive to timely adjustment of the simulation system when the data anomaly signal is generated.

[0071] The above shows and describes the basic principles, main features and advantages of the present invention. It should be understood by those skilled in the art that the present invention is not limited to the above embodiments. The above embodiments and descriptions are only for explaining the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, which fall within the scope of the present invention. The scope of protection of the present invention is defined by the attached claims and their equivalents.

Claims

1. A blast furnace gas residual pressure power generation simulation dynamic simulation control system, characterized in that: include: Data acquisition module: During the detection period, the actual operation of the TRT unit is monitored in real time to obtain the actual operation data, the operation time of the TRT unit is obtained, and it is marked as the actual operation time. During the simulation operation, the required simulation data is collected and marked as the simulation operation data, and the operation time of the simulation system is obtained and marked as the simulation operation time. 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, data processing is performed to obtain the data status value YC; Signal generation module: Based on the data status value YC, it is determined whether there is a gap between the time node when the simulation system acquires data and the time node when the TRT unit actually acquires data. If so, a data abnormality signal is generated; Impact 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 processing and analysis at each time node, the data transmission rate fluctuation value SB is obtained, based on the real-time transmission rate value processing and analysis of the data at the error time node, the data transmission rate instantaneous fluctuation value TB is obtained, 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 impact value CB, and the impact of the data transmission rate on the data anomaly signal is judged according to the data transmission rate fluctuation impact value CB.

2. A blast furnace gas residual pressure power generation simulation dynamic simulation control system according to claim 1, characterized in that: The data state value YC is obtained in the following manner: The proportion of the number of error nodes CW and the proportion of time deviation PC are processed by the formula: The data state value YC is calculated, where a1 and a2 are preset proportional coefficients, and both a1 and a2 are greater than 0.

3. A blast furnace gas residual pressure power generation simulation dynamic simulation control system according to claim 2, characterized in that: The method for obtaining the error node quantity ratio CW is as follows: The number of error time nodes is counted, and the ratio is processed with the number of divided time nodes to obtain the error node ratio CW.

4. A blast furnace gas residual pressure power generation simulation dynamic simulation control system according to claim 2, characterized in that: The method for obtaining the time deviation percentage PC is as follows: The time of the error time node is obtained and the time of the corresponding actual time node is subtracted, and the absolute value is taken to obtain the time deviation. All time deviations are summed and averaged to obtain the time deviation mean. The time deviation mean is compared with the preset time deviation mean to obtain the time deviation degree ratio PC.

5. A blast furnace gas residual pressure power generation simulation dynamic simulation control system according to claim 1, characterized in that: The data transmission rate fluctuation value SB is obtained in the following manner: The real-time transmission rate fluctuation area ratio and the real-time transmission rate fluctuation curve overlap length ratio are summed to obtain the data transmission rate fluctuation value SB.

6. A blast furnace gas residual pressure power generation simulation dynamic simulation control system according to claim 5, characterized in that: The real-time transmission rate fluctuation area ratio is obtained in the following manner: The area enclosed between the baseline and the real-time transmission rate fluctuation curve and the area enclosed between the baseline and the X-axis are measured, and the area enclosed between the baseline and the real-time transmission rate fluctuation curve and the area enclosed between the baseline and the X-axis are ratio-processed to obtain the real-time transmission rate fluctuation area ratio.

7. A blast furnace gas residual pressure power generation simulation dynamic simulation control system according to claim 5, characterized in that: The method for obtaining the overlap length ratio of the real-time transmission rate fluctuation curve is as follows: The overlap length between the baseline and the real-time transmission rate fluctuation curve and the length of the baseline are measured, and the overlap length between the baseline and the real-time transmission rate fluctuation curve and the length of the baseline are processed by ratio to obtain the overlap length ratio of the real-time transmission rate fluctuation curve.

8. The blast furnace gas residual pressure power generation simulation dynamic simulation control system according to claim 1, characterized in that: The data transmission rate fluctuation impact value CB is obtained in the following manner: The data transmission rate fluctuation value SB and the data transmission rate instantaneous fluctuation value TB are processed, and the data transmission rate fluctuation impact value CB is calculated by the formula: CB=b1×SB+b2×TB, wherein b1 and b2 are both preset proportional coefficients, and b1 and b2 are both greater than 0.

9. A blast furnace gas residual pressure power generation simulation dynamic simulation control system according to claim 8, characterized in that: The instantaneous fluctuation value TB of the data transmission rate is obtained as follows: Obtain the real-time transmission rate value of the data at the error time node, perform difference processing on it and the standard value of the real-time transmission rate, and take the absolute value of the result to obtain the real-time transmission rate deviation value of the data at the error time node, and perform ratio processing on the real-time transmission rate deviation value of the data at the error time node and the standard value of the real-time transmission rate to obtain the instantaneous fluctuation value TB of the data transmission rate.

10. A blast furnace gas residual pressure power generation simulation dynamic simulation control system according to claim 8, characterized in that: The method for determining the influence of data transmission rate on data abnormality signal is as follows: The data transmission rate fluctuation impact value CB is compared with the data transmission rate fluctuation impact value threshold: If the data transmission rate fluctuation impact value CB is greater than the data transmission rate fluctuation impact value threshold, the data transmission rate has a greater impact on the data anomaly signal; If the data transmission rate fluctuation influence value CB is less than or equal to the data transmission rate fluctuation influence value threshold, the data transmission rate has little influence on the data abnormality signal.

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