Operation monitoring method for strengthening and improving structure of tail bent track base of sintering machine

Abstract

The invention belongs to the technical field of sintering machine operation monitoring, and particularly relates to an operation monitoring method for a reinforced and improved structure of a tail bent track base of a sintering machine, which comprises the following steps of: firstly, dividing monitoring areas on the outer side wall of the track base, and monitoring and analyzing vibration data of each monitoring area to realize the analysis and judgment on the whole track base; the method can monitor the abnormal vibration number influence ratio FBQ and the area distribution influence ratio BFS of the track base, assess the safety of the track base, and monitor the risk degree of the track base, so that the operation state of the track base is comprehensively monitored and judged, and the accuracy of a judgment result is improved; by obtaining the predicted fault time value GZT, the operation state condition of the track base can be judged, preparation is made in advance, whether immediate shutdown is needed or maintenance is carried out after the sintering task is completed is judged, and the working efficiency is improved.

Description

Technical Field

[0001] The invention belongs to the technical field of sintering machine operation monitoring, in particular to an operation monitoring method of a sintering machine tail curved track seat with a reinforced and improved structure. Background Art

[0002] The tail curved rail fixed seat of the sintering machine is easy to deform and break in a long-term high temperature and impact environment, which will lead to the increase of the spacing between the curved rails of the sintering machine and the overlap of the sintering machine, which will seriously restrict the production efficiency, maintenance difficulty and cost of the sintering machine. At present, the tail curved rail of the sintering machine, especially the lower rail position and the first section of the export, often deforms and cracks; therefore, during the design, the first section of the tail export track was changed from the original track made by cutting 43KG / m heavy rail to a track made of square steel the same as the upper rail, which increased its strength; at the same time, a support beam was added to the bottom of the bottom beam of the track to improve the strength of the track beam seat; the reliability of the track beam can be effectively improved and the failure rate can be reduced.

[0003] However, there are still difficulties in monitoring the operation safety of the reinforced and improved structure of the curved track seat at the rear of the sintering machine. Only through intuitive visual monitoring of the track seat or through vibration monitoring, it can only control the range by setting thresholds, and it is impossible to predict the degree of risk of the track seat operation through historical monitoring data. If a problem occurs, it can only be shut down for monitoring and maintenance. It is impossible to accurately judge the actual operating status of the sintering machine, which affects work efficiency.

[0004] To this end, the present invention provides an operation monitoring method for a sintering machine tail curved track seat reinforcement and improvement structure. 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: the operation monitoring method of the sintering machine tail curved track seat strengthening and improvement structure described in the present invention comprises:

[0007] The outer side wall of the reinforced and improved tail curved rail seat of the sintering machine is divided into several monitoring areas, and the vibration data of each monitoring area is obtained, wherein the vibration data includes the vibration amplitude and the vibration frequency;

[0008] Based on the vibration data of the monitoring area, the monitoring area is divided into vibration abnormality area and non-vibration abnormality area, and the vibration abnormality quantity impact ratio FBQ and regional distribution impact ratio BFS are calculated;

[0009] Based on the vibration abnormality quantity impact ratio FBQ and regional distribution impact ratio BFS, the safety assessment of the curved track seat at the tail of the sintering machine is carried out to generate the track seat status signal;

[0010] The track seat status signal includes a track seat danger signal, a track seat safety signal, a track seat high risk signal, and a track seat low risk signal;

[0011] After obtaining the danger signal of the orbital seat, the regional distribution impact ratio BFS is compared with the regional distribution impact ratio threshold YFS: the regional distribution impact ratio threshold YFS is artificially set according to historical experience;

[0012] If the regional distribution impact ratio BFS is greater than the regional distribution impact ratio threshold YFS, a high risk signal of the orbital seat is generated;

[0013] If the regional distribution impact ratio BFS is less than or equal to the regional distribution impact ratio threshold YFS, a low orbital seat risk signal is generated.

[0014] Based on the low-risk signal of the rail seat, the risk growth coefficient FXZ is obtained, the state of the rail seat is predicted, and the expected failure time value is obtained.

[0015] Preferably, the vibration data of each monitoring area is obtained, specifically:

[0016] The strengthened and improved sintering machine tail curved track seat is divided into n monitoring areas according to a preset length, n=1, 2, 3..., n is a positive integer, and the vibration amplitude value and vibration frequency value of each monitoring area are collected.

[0017] Preferably, the monitoring area is divided into an abnormal vibration area and a non-abnormal vibration area, and the specific acquisition method is:

[0018] By obtaining the vibration amplitude and vibration frequency of the monitoring area, the vibration amplitude is compared with the vibration amplitude threshold, and the vibration frequency is compared with the vibration amplitude threshold;

[0019] If the vibration amplitude is less than the vibration amplitude threshold and the vibration frequency is less than the vibration frequency threshold, the monitoring area is divided into a non-vibration abnormality area; conversely, if the vibration amplitude is greater than or equal to the vibration amplitude threshold and the vibration frequency is less than the vibration frequency threshold, the vibration amplitude is less than the vibration amplitude threshold and the vibration frequency is greater than or equal to the vibration frequency threshold, the vibration amplitude is greater than or equal to the vibration amplitude threshold and the vibration frequency is greater than or equal to the vibration frequency threshold, then the monitoring area is generated and divided into a vibration abnormality area.

[0020] Preferably, the specific method of obtaining the vibration abnormality quantity impact ratio FBQ is:

[0021] Get the number of non-vibration abnormal areas FZY and the number of vibration abnormal areas ZYQ, and use the formula The vibration abnormality quantity impact ratio FBQ is calculated.

[0022] Preferably, the specific method of obtaining the regional distribution impact ratio BFS is:

[0023] The arc side walls of the curved rail seat at the tail of the sintering machine are divided into key monitoring areas, and the flat surfaces on both sides of the curved rail seat at the tail of the sintering machine are divided into auxiliary monitoring areas; the number of abnormal vibration areas ZJF in the key monitoring area and the number of abnormal vibration areas FJF in the auxiliary monitoring area are obtained, and the formula The regional distribution impact ratio BFS is calculated.

[0024] Preferably, based on the vibration abnormality quantity impact ratio FBQ and the regional distribution impact ratio BFS, the safety assessment of the curved track seat at the tail of the sintering machine is carried out, specifically:

[0025] Obtain the vibration abnormality quantity impact ratio FBQ and the regional distribution impact ratio BFS, first compare the vibration abnormality quantity impact ratio FBQ with the vibration abnormality quantity impact ratio threshold YBF: the vibration abnormality quantity impact ratio threshold YBF is artificially set according to historical experience;

[0026] If the vibration abnormality quantity impact ratio FBQ is greater than the vibration abnormality quantity impact ratio threshold YBF, a rail seat danger signal is generated;

[0027] If the vibration abnormality quantity influence ratio FBQ is less than or equal to the vibration abnormality quantity influence ratio threshold value YBF, a rail seat safety signal is generated.

[0028] Preferably, the risk growth coefficient FXZ includes an abnormal growth coefficient YZX and an abnormal new addition coefficient XZX, and the risk growth coefficient FXZ is obtained by summing the abnormal growth coefficient YZX and the abnormal new addition coefficient XZX.

[0029] Preferably, the abnormal new added coefficient XZX is obtained as follows:

[0030] Set the monitoring period T, obtain the number of newly added vibration abnormal areas in the key monitoring area, recorded as ZJi; obtain the number of newly added vibration abnormal areas in the auxiliary monitoring area, recorded as FJi;

[0031] By formula The growth value ZJZ of the number of newly added vibration abnormal areas in the key monitoring area is calculated;

[0032] By formula The number growth value FJZ of newly added vibration abnormal areas in the auxiliary monitoring area is calculated;

[0033] The number growth value ZJZ of newly added vibration abnormal areas in the key monitoring area and the number growth value FJZ of newly added vibration abnormal areas in the auxiliary monitoring area are added together to obtain the abnormal increase coefficient XZX.

[0034] Preferably, the abnormal growth coefficient YZX is obtained as follows:

[0035] Set the monitoring period T, obtain the impact ratio of the number of abnormal vibrations in the key monitoring area FBQz, and the impact ratio of the number of abnormal vibrations in the auxiliary monitoring area FBQf;

[0036] The abnormal growth coefficient YZX is obtained by the formula YZX=a1×FBQz+a2×FBQf;

[0037] Wherein, a1 and a2 are preset proportional coefficients, and a1+a2=1.

[0038] Preferably, the estimated failure time value is obtained in the following manner:

[0039] Substitute the risk growth coefficient FXZ, regional distribution impact ratio BFS, regional distribution impact ratio threshold YFS and monitoring period T into the formula The expected failure time value GZT is calculated.

[0040] The beneficial effects of the present invention are as follows:

[0041] 1. The operation monitoring method of the reinforced and improved structure of the curved track seat at the tail of a sintering machine described in the present invention first divides the outer wall of the track seat into monitoring areas, and then monitors and analyzes the vibration data in each monitoring area to achieve analysis and judgment of the track seat as a whole; it can also monitor the vibration abnormality quantity impact ratio FBQ and the regional distribution impact ratio BFS of the track seat to evaluate the safety of the track seat, and at the same time it can also monitor the risk level of the track seat, so as to achieve comprehensive monitoring and judgment of the operation status of the track seat and improve the accuracy of the judgment result.

[0042] 2. The operation monitoring method of the improved structure of the curved track seat at the tail of a sintering machine described in the present invention first calculates the difference between the regional distribution impact ratio BFS and the regional distribution impact ratio threshold value YFS, and then obtains the ratio between the difference value and the risk growth coefficient FXZ multiplied by the time T corresponding to the risk growth coefficient FXZ, and the time required for the regional distribution impact ratio BFS to reach the regional distribution impact ratio threshold value YFS can be obtained, which is the expected failure time value GZT. By obtaining the expected failure time value GZT, the operating status of the track seat can be judged, and preparations can be made in advance to determine whether it is necessary to shut down immediately or to complete the sintering task before maintenance, thereby improving work efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] The present invention will be further described below in conjunction with the accompanying drawings.

[0044] Figure 1 is a flow chart of the method of the present invention;

[0045] Figure 2It is a flow chart of the method for obtaining the risk growth coefficient of the present invention. DETAILED DESCRIPTION

[0046] 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.

[0047] Example 1

[0048] like Figure 1 and Figure 2 As shown, a method for monitoring the operation of a sintering machine tail curved track seat reinforcement and improvement structure comprises:

[0049] The outer side wall of the reinforced and improved tail curved rail seat of the sintering machine is divided into several monitoring areas, and the vibration data of each monitoring area is obtained, wherein the vibration data includes the vibration amplitude and the vibration frequency;

[0050] In a specific embodiment, the strengthened and improved tail curved rail seat of the sintering machine is divided into n monitoring areas according to a preset length, n=1, 2, 3..., n is a positive integer, and the vibration amplitude value and vibration frequency value of each monitoring area are collected;

[0051] Based on the vibration data of the monitoring area, the monitoring area is divided into a vibration abnormality area and a non-vibration abnormality area;

[0052] In one embodiment, by obtaining the vibration amplitude and the vibration frequency of the monitoring area, the vibration amplitude is compared with the vibration amplitude threshold, and the vibration frequency is compared with the vibration amplitude threshold;

[0053] If the vibration amplitude is less than the vibration amplitude threshold and the vibration frequency is less than the vibration frequency threshold, the monitoring area is divided into a non-vibration abnormal area; conversely, if the vibration amplitude is greater than or equal to the vibration amplitude threshold and the vibration frequency is less than the vibration frequency threshold, the vibration amplitude is less than the vibration amplitude threshold and the vibration frequency is greater than or equal to the vibration frequency threshold, the vibration amplitude is greater than or equal to the vibration amplitude threshold and the vibration frequency is greater than or equal to the vibration frequency threshold, then the monitoring area is generated and divided into a vibration abnormal area;

[0054] Get the number of non-vibration abnormal areas FZY and the number of vibration abnormal areas ZYQ, and use the formula The vibration abnormality quantity influence ratio FBQ is calculated;

[0055] The arc side walls of the curved rail seat at the tail of the sintering machine are divided into key monitoring areas, and the flat surfaces on both sides of the curved rail seat at the tail of the sintering machine are divided into auxiliary monitoring areas; the number of abnormal vibration areas ZJF in the key monitoring area and the number of abnormal vibration areas FJF in the auxiliary monitoring area are obtained, and the formula The regional distribution impact ratio BFS is calculated;

[0056] Based on the vibration abnormality quantity impact ratio FBQ and regional distribution impact ratio BFS, the safety assessment of the curved track seat at the tail of the sintering machine is carried out to generate the track seat status signal;

[0057] The track seat status signal includes a track seat danger signal, a track seat safety signal, a track seat high risk signal, and a track seat low risk signal;

[0058] In a specific embodiment, the vibration abnormality quantity impact ratio FBQ and the regional distribution impact ratio BFS are obtained, and the vibration abnormality quantity impact ratio FBQ is first compared with the vibration abnormality quantity impact ratio threshold YBF: the vibration abnormality quantity impact ratio threshold YBF is artificially set according to historical experience;

[0059] If the vibration abnormality quantity impact ratio FBQ is greater than the vibration abnormality quantity impact ratio threshold YBF, a rail seat danger signal is generated;

[0060] If the vibration abnormality quantity impact ratio FBQ is less than or equal to the vibration abnormality quantity impact ratio threshold YBF, a rail seat safety signal is generated;

[0061] After obtaining the danger signal of the orbital seat, the regional distribution impact ratio BFS is compared with the regional distribution impact ratio threshold YFS: the regional distribution impact ratio threshold YFS is artificially set according to historical experience;

[0062] If the regional distribution impact ratio BFS is greater than the regional distribution impact ratio threshold YFS, a high risk signal of the orbital seat is generated;

[0063] If the regional distribution impact ratio BFS is less than or equal to the regional distribution impact ratio threshold YFS, a low risk signal of the orbital seat is generated;

[0064] It should be noted that the danger signal of the track seat indicates that the number of abnormal vibration areas ZYQ in the monitoring area on the outer side of the track seat accounts for a large proportion, and the ratio of the number of abnormal vibration areas ZYQ to the number of non-abnormal vibration areas FZY has exceeded the preset range. The vibration amplitude and vibration frequency in the monitoring area exceed the safe range, which has affected the normal use of the track seat and there are safety hazards; the safety signal of the track seat indicates that the number of abnormal vibration areas ZYQ in the monitoring area on the outer side of the track seat accounts for a large proportion, and the ratio of the number of abnormal vibration areas ZYQ to the number of non-abnormal vibration areas FZY does not exceed the preset range, does not affect the normal use of the track seat, and there are no safety hazards;

[0065] The high risk signal of the track seat indicates that the abnormal vibration area in the monitoring area on the outer side of the arc surface at both ends of the track seat accounts for a large proportion. The arc surface positions at both ends of the track seat are the positions where the bearing pressure at the tail of the sintering machine is increased. The abnormal vibration area at this position accounts for a large proportion, which is more likely to cause track breakage, has a large impact range, and has a large safety impact. The sintering machine must be stopped immediately and the track seat must be monitored and repaired for faults. The low risk signal of the track seat indicates that the abnormal vibration area at the arc surface positions at both ends of the track seat accounts for a small proportion, has a small impact range, has a small safety hazard, and there is a possibility that the sintering machine can continue to work.

[0066] The technical solution of the embodiment of the present invention is: divide the outer side wall of the strengthened and improved curved track seat at the tail of the sintering machine into several monitoring areas, obtain the vibration data of each monitoring area, divide the monitoring area into vibration abnormality areas and non-vibration abnormality areas based on the vibration data of the monitoring area, and calculate the vibration abnormality ratio; obtain the number of non-vibration abnormality areas FZY and the number of vibration abnormality areas ZYQ, and obtain the vibration abnormality quantity influence ratio FBQ by calculation, divide the arc surface side walls at both ends of the curved track seat at the tail of the sintering machine into key monitoring areas, and divide the flat surfaces on both sides of the curved track seat at the tail of the sintering machine into auxiliary monitoring areas; obtain the number of vibration abnormality areas ZJF in the key monitoring area and the number of vibration abnormality areas in the auxiliary monitoring area The number of regions FJF is calculated to obtain the regional distribution influence ratio BFS; based on the vibration abnormality quantity influence ratio FBQ and the regional distribution influence ratio BFS, the safety assessment of the curved track seat at the tail of the sintering machine is carried out to generate a track seat status signal; the present invention first divides the outer wall of the track seat into monitoring areas, and then monitors and analyzes the vibration data in each monitoring area to achieve analysis and judgment of the track seat as a whole; it can also monitor the vibration abnormality quantity influence ratio FBQ and the regional distribution influence ratio BFS of the track seat, evaluate the safety of the track seat, and at the same time monitor the risk level of the track seat, so as to improve the accuracy of the judgment result by comprehensively monitoring and judging the operating status of the track seat.

[0067] Example 2

[0068] like Figure 2 As shown, based on the low risk signal of the orbital seat, the risk growth coefficient FXZ is obtained to predict the state of the orbital seat;

[0069] The risk growth coefficient FXZ includes the abnormal growth coefficient YZX and the abnormal new addition coefficient XZX;

[0070] The risk growth coefficient FXZ is obtained by summing the abnormal growth coefficient YZX and the abnormal new addition coefficient XZX;

[0071] The method of obtaining the abnormal additional coefficient XZX is:

[0072] Set the monitoring period T, obtain the number of newly added vibration abnormal areas in the key monitoring area, recorded as ZJi; obtain the number of newly added vibration abnormal areas in the auxiliary monitoring area, recorded as FJi;

[0073] By formula The growth value ZJZ of the number of newly added vibration abnormal areas in the key monitoring area is calculated;

[0074] By formula The number growth value FJZ of newly added vibration abnormal areas in the auxiliary monitoring area is calculated;

[0075] The number growth value ZJZ of newly added vibration abnormal areas in the key monitoring area and the number growth value FJZ of newly added vibration abnormal areas in the auxiliary monitoring area are added and summed to obtain the abnormal increase coefficient XZX;

[0076] It should be noted that the monitoring period T is the time taken for the sintering machine to run for one cycle, and the abnormal increase coefficient XZX is the sum of the growth value ZJZ of the number of new vibration abnormal areas monitored in the key monitoring area during the monitoring period T and the growth value FJZ of the number of new vibration abnormal areas monitored in the auxiliary monitoring area. It can determine the overall abnormal increase degree of the rail seat.

[0077] The abnormal growth coefficient YZX is obtained as follows:

[0078] Set the monitoring period T, obtain the impact ratio of the number of abnormal vibrations in the key monitoring area FBQz, and the impact ratio of the number of abnormal vibrations in the auxiliary monitoring area FBQf;

[0079] The abnormal growth coefficient YZX is obtained by the formula YZX=a1×FBQz+a2×FBQf;

[0080] Wherein, a1 and a2 are preset proportional coefficients, and a1+a2=1.

[0081] It should be explained that the abnormal growth coefficient YZX is obtained by first obtaining the impact ratio FBQz of the number of vibration abnormalities monitored in the key monitoring area within the monitoring period T and multiplying it by the preset proportional coefficient a1, then obtaining the impact ratio FBQf of the number of vibration abnormalities monitored in the auxiliary monitoring area within the monitoring period T and multiplying it by the preset proportional coefficient a2, and finally obtaining the sum of the two; it can reflect the degree of change in the growth of the impact ratio of the number of vibration abnormalities in the key monitoring area and the auxiliary monitoring area of ​​the rail seat.

[0082] In one embodiment, after obtaining the low risk signal of the rail seat, the abnormal growth coefficient YZX is obtained, and the vibration abnormality quantity impact ratio FBQz monitored in the key monitoring area within the monitoring period T is first obtained. The acquisition method of the vibration abnormality quantity impact ratio FBQz is the same as the acquisition method of the initial monitoring vibration abnormality quantity impact ratio FBQ, and the acquisition method of the vibration abnormality quantity impact ratio FBQf in the auxiliary monitoring area is the same as the acquisition method of the initial monitoring vibration abnormality quantity impact ratio FBQ.

[0083] It should be noted that the vibration anomaly impact ratio FBQz is for the key monitoring area within the monitoring period T. By calculating the vibration anomaly impact ratio FBQz in the key monitoring area, and then obtaining the vibration anomaly impact ratio FBQf in the auxiliary monitoring area, and setting the corresponding proportional coefficients respectively, it can more accurately reflect the overall abnormal growth coefficient of the rail seat within the T period.

[0084] Substitute the risk growth coefficient FXZ, regional distribution impact ratio BFS, regional distribution impact ratio threshold YFS and monitoring period T into the formula The expected failure time value GZT is calculated.

[0085] In some embodiments, the estimated failure time value GZT reflects the estimated time for the rail seat to generate a high risk signal for the rail seat in the previous stage; first calculate the difference between the regional distribution impact ratio BFS and the regional distribution impact ratio threshold YFS, then obtain the ratio between the difference value and the risk growth coefficient FXZ and multiply it by the time T corresponding to the risk growth coefficient FXZ, and you can get the time required for the regional distribution impact ratio BFS to reach the regional distribution impact ratio threshold YFS, which is the estimated failure time value GZT. By obtaining the estimated failure time value GZT, it is possible to judge the operating status of the rail seat, make preparations in advance, and judge whether it is necessary to shut down immediately or complete the sintering task before maintenance, thereby improving work efficiency.

[0086] 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. An operation monitoring method for a sintering machine tail curved track seat reinforcement and improvement structure, characterized in that: include: The outer side wall of the reinforced and improved sintering machine tail curved track seat is divided into several monitoring areas, and the vibration data of each monitoring area is obtained, wherein the vibration data includes the vibration amplitude and the vibration frequency; Based on the vibration data of the monitoring area, the monitoring area is divided into vibration abnormality area and non-vibration abnormality area, and the vibration abnormality quantity impact ratio FBQ and regional distribution impact ratio BFS are calculated; Based on the vibration abnormality quantity impact ratio FBQ and the regional distribution impact ratio BFS, a safety assessment of the curved rail seat at the tail of the sintering machine is performed to generate a rail seat status signal; the rail seat status signal includes a rail seat danger signal, a rail seat safety signal, a rail seat high risk signal and a rail seat low risk signal; After obtaining the orbital seat danger signal, the regional distribution impact ratio BFS is compared with the regional distribution impact ratio threshold YFS: If the regional distribution impact ratio BFS is greater than the regional distribution impact ratio threshold YFS, a high-risk signal for the orbital seat is generated; if the regional distribution impact ratio BFS is less than or equal to the regional distribution impact ratio threshold YFS, a low-risk signal for the orbital seat is generated; Based on the low-risk signal of the rail seat, the risk growth coefficient FXZ is obtained, the state of the rail seat is predicted, and the expected failure time value is obtained.

2. The operation monitoring method of the sintering machine tail curved track seat reinforcement and improvement structure according to claim 1, characterized in that: Get the vibration data of each monitoring area, specifically: The strengthened and improved sintering machine tail curved track seat is divided into n monitoring areas according to a preset length, n=1, 2, 3..., n is a positive integer, and the vibration amplitude value and vibration frequency value of each monitoring area are collected.

3. The operation monitoring method of the sintering machine tail curved track seat reinforcement and improvement structure according to claim 2 is characterized by: The monitoring area is divided into the vibration abnormality area and the non-vibration abnormality area. The specific acquisition method is as follows: By obtaining the vibration amplitude and vibration frequency of the monitoring area, the vibration amplitude is compared with the vibration amplitude threshold, and the vibration frequency is compared with the vibration amplitude threshold; If the vibration amplitude is less than the vibration amplitude threshold and the vibration frequency is less than the vibration frequency threshold, the monitoring area is divided into a non-vibration abnormal area; On the contrary, if the vibration amplitude is greater than or equal to the vibration amplitude threshold and the vibration frequency is less than the vibration frequency threshold, the vibration amplitude is less than the vibration amplitude threshold and the vibration frequency is greater than or equal to the vibration frequency threshold, or the vibration amplitude is greater than or equal to the vibration amplitude threshold and the vibration frequency is greater than or equal to the vibration frequency threshold, then the monitoring area is divided into a vibration abnormality area.

4. The operation monitoring method of the sintering machine tail curved track seat reinforcement and improvement structure according to claim 3 is characterized by: The specific method of obtaining the vibration abnormality quantity impact ratio FBQ is as follows: Get the number of non-vibration abnormal areas FZY and the number of vibration abnormal areas ZYQ, and use the formula The vibration abnormality quantity impact ratio FBQ is calculated.

5. The operation monitoring method of the sintering machine tail curved track seat reinforcement and improvement structure according to claim 4 is characterized in that: The specific method of obtaining the regional distribution impact ratio BFS is as follows: The arc side walls of the curved rail seat at the tail of the sintering machine are divided into key monitoring areas, and the flat surfaces on both sides of the curved rail seat at the tail of the sintering machine are divided into auxiliary monitoring areas; the number of abnormal vibration areas ZJF in the key monitoring area and the number of abnormal vibration areas FJF in the auxiliary monitoring area are obtained, and the formula The regional distribution impact ratio BFS is calculated.

6. The operation monitoring method of the sintering machine tail curved track seat reinforcement and improvement structure according to claim 5, characterized in that: Based on the vibration abnormality quantity impact ratio FBQ and regional distribution impact ratio BFS, the safety assessment of the curved track seat at the tail of the sintering machine is carried out, specifically: Obtain the vibration abnormality quantity impact ratio FBQ and the regional distribution impact ratio BFS, first compare the vibration abnormality quantity impact ratio FBQ with the vibration abnormality quantity impact ratio threshold YBF: the vibration abnormality quantity impact ratio threshold YBF is artificially set according to historical experience; If the vibration abnormality quantity impact ratio FBQ is greater than the vibration abnormality quantity impact ratio threshold YBF, a rail seat danger signal is generated; If the vibration abnormality quantity influence ratio FBQ is less than or equal to the vibration abnormality quantity influence ratio threshold value YBF, a rail seat safety signal is generated.

7. The operation monitoring method of the sintering machine tail curved track seat strengthening and improvement structure according to claim 1 is characterized by: The risk growth coefficient FXZ includes an abnormal growth coefficient YZX and an abnormal new addition coefficient XZX, and the risk growth coefficient FXZ is obtained by summing the abnormal growth coefficient YZX and the abnormal new addition coefficient XZX.

8. The operation monitoring method of the sintering machine tail curved track seat strengthening and improvement structure according to claim 7 is characterized by: The abnormal new coefficient XZX is obtained as follows: Set the monitoring period T, obtain the number of newly added vibration abnormal areas in the key monitoring area, recorded as ZJi; obtain the number of newly added vibration abnormal areas in the auxiliary monitoring area, recorded as FJi; By formula The growth value ZJZ of the number of newly added vibration abnormal areas in the key monitoring area is calculated; By formula The number growth value FJZ of newly added vibration abnormal areas in the auxiliary monitoring area is calculated; The number growth value ZJZ of newly added vibration abnormal areas in the key monitoring area and the number growth value FJZ of newly added vibration abnormal areas in the auxiliary monitoring area are added together to obtain the abnormal increase coefficient XZX.

9. The operation monitoring method of the sintering machine tail curved track seat reinforcement and improvement structure according to claim 8, characterized in that: The abnormal growth coefficient YZX is obtained as follows: Set the monitoring period T, obtain the impact ratio of the number of abnormal vibrations in the key monitoring area FBQz, and the impact ratio of the number of abnormal vibrations in the auxiliary monitoring area FBQf; The abnormal growth coefficient YZX is obtained by the formula YZX=a1×FBQz+a2×FBQf; Wherein, a1 and a2 are preset proportional coefficients, and a1+a2=1.

10. The operation monitoring method of the sintering machine tail curved track seat reinforcement and improvement structure according to claim 9, characterized in that: The specific method for obtaining the estimated failure time value is as follows: Substitute the risk growth coefficient FXZ, regional distribution impact ratio BFS, regional distribution impact ratio threshold YFS and monitoring period T into the formula GZT=YFFS-XZBFS×T to calculate the expected failure time value GZT.

Images