Self-adjusting flow guide steam seal structure for steam turbine and flow guide monitoring system

Abstract

The invention provides a self-adjusting flow guide steam seal structure for a steam turbine and a flow guide monitoring system, and relates to the technical field of steam turbine devices, the self-adjusting flow guide steam seal structure comprises a steam seal main body, the steam seal main body is mounted on a main shaft, an adjusting block is arranged on the outer side of the steam seal main body, the steam seal main body is connected with the adjusting block through a bolt, and a gasket is arranged between the steam seal main body and the adjusting block; a plurality of vortex cavities are formed in the steam seal body, and a plurality of high teeth and low teeth are arranged on the steam seal body. By arranging the vortex cavity, the high teeth and the low teeth, the flow resistance of steam is increased, so that the flow speed of the steam is reduced, the effect of improving the air tightness is achieved, meanwhile, kinetic energy of the steam can be better converted into heat energy in the flow speed slowing process, the efficiency of a steam turbine is improved, meanwhile, the flow guide condition of the flow guide steam seal structure can be monitored in real time, and the flow guide effect is improved. And the air leakage risk is timely found.

Description

Technical Field

[0001] The invention belongs to the technical field of steam turbine devices, and in particular relates to a self-adjusting guide steam seal structure and a guide monitoring system for a steam turbine. Background Art

[0002] Modern steam turbines have a history of 140 years since their birth. One of the ways to improve energy efficiency, save energy and reduce emissions in the thermal power generation industry is to improve the efficiency of the steam turbine body and reduce the amount of steam leakage inside the steam turbine. At present, energy-saving technology in this area has matured to a certain extent with the development history of steam turbines and has encountered bottlenecks;

[0003] Common gas seal products include American Brayden steam seals, honeycomb steam seals and side tooth steam seals, among which:

[0004] The Braden steam seal adopts the traditional comb-tooth steam seal surface. The leaf spring on the back of the traditional steam seal is cancelled on the back arc surface. A spiral spring is installed at the end face of each circle of the steam seal arc segment, and a steam inlet groove is milled in the middle of the steam inlet side of the back of each steam seal arc segment to allow the upstream steam to enter the back of the steam seal arc segment. The spring design principle is to solve the problem of large rotor vibration and easy collision and wear during the start-up and shutdown of the steam turbine unit. In actual application, the spring compression is prone to jamming and the arc segment cannot be closed normally. Secondly, after the unit has been running for a period of time, the rust of the spring groove will cause a certain probability that the arc segment cannot be opened, which will cause rapid wear of the tooth tip and the long-term steam tightness cannot be guaranteed. Finally, since its sealing tooth design is still a comb-tooth seal, the sealing effect cannot be effectively improved;

[0005] The design structure of the honeycomb steam seal is to weld a large area of ​​radial honeycomb steam seal chamber on the steam cover. The honeycomb seal has a better sealing effect than the traditional comb seal. The honeycomb steam seal has the following performance advantages due to its special structure: first, the sealing effect is good, because the honeycomb chamber improves the heat dissipation of the airflow, the sealing is enhanced; second, it will not cause steam flow excitation, which improves safety; third, the back arc adjustment gasket improves the convenience of installation and commissioning. However, due to the mechanical structure and operating conditions of the steam turbine, it is impossible to achieve the relatively fine dynamic and static clearance like that of an aircraft engine, and its steam sealing effect will be reduced to a certain extent. At the same time, once the honeycomb steam seal is in a unit with poor operating conditions, water quality, impurities and other reasons will cause the honeycomb chamber to be blocked, and its steam sealing effect will be greatly reduced. In addition, the gas turbine is operated for about 220 days per year for peak load regulation, and the honeycomb steam seal is prone to wear, and its sealing effect cannot be maintained for a long time;

[0006] The side-tooth steam seal has the same appearance as the traditional steam seal. It is best used in the turbine for shaft seals and partition seals. It is based on the traditional labyrinth steam seal and adopts a special process to make the side of the steam seal teeth have small side teeth, and the bottom of the chamber is also increased. This will produce thermodynamic effects and increase the friction effect, eliminate the air permeability effect, and convert the eddy kinetic energy of the steam in the side-tooth labyrinth cavity into heat energy completely, and the sealing effect is improved by more than 72%. The side tooth structure can reduce the flow of air gaps in the ring and reduce the impact on shaft vibration. For example, the structure of the side-tooth steam seal, Its side teeth are far away from the steam seal sleeve step, and the installation and maintenance are as convenient as the comb-tooth steam seal, and there will be no friction between the steam seal teeth and the shaft. The comb-tooth steam seal has the following performance characteristics: first, it is an improvement on the traditional labyrinth steam seal; second, the side teeth are processed on the steam seal body by special technology, which is an organic whole, safe and reliable; third, it follows the traditional installation method and does not require training. The same disadvantages are also obvious. From the perspective of the use effect of many units, it does not significantly improve the efficiency of the turbine, and the dehumidification effect on the blade tip is not as good as the honeycomb steam seal;

[0007] None of the above-mentioned common gas seals can ensure sealing, stabilize turbine efficiency to ensure the energy efficiency of thermal power generating units, and fully convert steam thermal energy. In addition, the existing gas seals lack a monitoring system and cannot monitor leakage risks in a timely manner. Summary of the invention

[0008] The present invention provides a self-adjusting guide steam seal structure and a guide monitoring system for a steam turbine, which are used to solve at least one of the technical problems mentioned above.

[0009] In order to solve the above technical problems, the present invention discloses a self-adjusting guide steam seal structure and a guide monitoring system for a steam turbine, comprising a steam seal body, the steam seal body is mounted on a main shaft, an adjustment block is arranged outside the steam seal body, the steam seal body and the adjustment block are connected by bolts, and a gasket is arranged between the steam seal body and the adjustment block;

[0010] A plurality of vortex cavities are arranged in the steam seal body, and a plurality of high teeth and low teeth are arranged on the steam seal body.

[0011] Preferably, the eddy current chamber comprises a plurality of eddy current manufacturing grooves and a labyrinth chamber, and the inner wall of the labyrinth chamber is provided with a plurality of protrusions;

[0012] The vortex generating tank is used to generate vortex.

[0013] Preferably, the plurality of vortex producing grooves include vortex producing groove one, vortex producing groove two and vortex producing groove three, the inlet of the labyrinth cavity is located between vortex producing groove one and vortex producing groove two, the outlet of the labyrinth cavity is connected to the vortex producing groove one, and the steam flows in the labyrinth cavity according to the labyrinth flow route.

[0014] Preferably, the shape of the labyrinth chamber is hook-shaped.

[0015] Preferably, the data acquisition module is used to collect the physical parameters of each labyrinth cavity and eddy current manufacturing slot in each monitoring cycle;

[0016] A flow diversion state coefficient calculation module, used to calculate the flow diversion state coefficient of the flow diversion steam seal structure in each monitoring period based on the physical evaluation parameters of each labyrinth cavity and eddy current manufacturing groove in each monitoring period;

[0017] A first-level judgment module is used to judge whether to issue an alarm prompt based on the diversion state coefficient of the diversion steam seal structure in the current monitoring period. If the judgment result is to issue a first-level alarm prompt, a first-level alarm is issued;

[0018] A flow diversion state prediction matrix construction module is used to construct a flow diversion state prediction matrix based on the flow diversion state coefficient of the flow diversion steam seal structure in each monitoring period, and obtain the flow diversion state coefficient of the flow diversion steam seal structure in the next monitoring period based on the flow diversion state prediction matrix;

[0019] The secondary judgment module determines whether to issue an alarm based on the diversion state coefficient of the diversion steam seal structure in the next monitoring cycle. If the judgment result is to issue a secondary alarm, a secondary alarm is issued.

[0020] Preferably, the flow diversion state coefficient calculation module includes:

[0021] A labyrinth cavity flow conductivity evaluation value calculation unit, used to calculate the flow conductivity evaluation value of each labyrinth cavity in each monitoring cycle based on the logistics parameters of each labyrinth cavity in each monitoring cycle;

[0022] The eddy current manufacturing capacity evaluation value calculation unit of the eddy current manufacturing slot is used to calculate the eddy current manufacturing capacity evaluation value of each eddy current manufacturing slot corresponding to each eddy current cavity in each monitoring period based on the logistics parameters of each eddy current manufacturing slot corresponding to each eddy current cavity in each monitoring period;

[0023] A vortex cavity comprehensive capacity evaluation value calculation unit, used to calculate the comprehensive capacity evaluation value of each vortex cavity in each monitoring cycle based on the flow conduction capacity evaluation value of each labyrinth cavity in each monitoring cycle and the vortex manufacturing capacity evaluation value of each vortex manufacturing slot corresponding to each vortex cavity in each monitoring cycle;

[0024] The flow guiding state coefficient calculation unit of the flow guiding steam seal structure is used to calculate the flow guiding state coefficient of the flow guiding steam seal structure in each monitoring period based on the comprehensive capacity evaluation value of each vortex cavity in each monitoring period.

[0025] Preferably, the evaluation value of the flow conductivity of the labyrinth cavity corresponding to the i-th eddy cavity in the j-th monitoring period is:

[0026] Among them, a ij is the evaluation value of the flow conductivity of the labyrinth cavity corresponding to the i-th vortex cavity in the j-th monitoring period, Qij is the flow detection value at the inlet of the labyrinth cavity corresponding to the i-th vortex cavity in the j-th monitoring period, ε is the dynamic viscosity of the steam, L ij is the channel length of the labyrinth cavity corresponding to the i-th eddy current cavity in the j-th monitoring period, is the average diameter of the labyrinth cavity corresponding to the i-th eddy current cavity in the j-th monitoring period, P ij(in) is the air pressure detection value at the inlet of the labyrinth cavity corresponding to the i-th eddy current cavity in the j-th monitoring period, P ij(out) The air pressure detection value at the labyrinth cavity outlet corresponding to the i-th eddy current cavity in the j-th monitoring cycle;

[0027] The eddy current manufacturing capability evaluation value of the kth eddy current manufacturing slot corresponding to the labyrinth cavity of the i-th eddy current cavity in the j-th monitoring period:

[0028] Among them, b ijk is the eddy current manufacturing capability evaluation value of the kth eddy current manufacturing slot corresponding to the labyrinth cavity of the i-th eddy current cavity in the j-th monitoring period, t 0 is the duration of the monitoring cycle, μ ijk is the flow velocity detection value of the kth eddy current manufacturing slot corresponding to the labyrinth cavity of the i-th eddy current cavity in the j-th monitoring period, B ijk is the width of the kth eddy current manufacturing groove corresponding to the labyrinth cavity of the i-th eddy current cavity in the j-th monitoring period, ρ x is the density of steam, d 0 is the reference diameter value of the eddy current;

[0029] The comprehensive capacity evaluation value of the i-th eddy current chamber in the j-th monitoring cycle:

[0030] Among them, c ij is the comprehensive capacity evaluation value of the i-th eddy current chamber in the j-th monitoring period, τ 1 is the weight of the flow conductivity evaluation value of the labyrinth cavity, τ 2 is the weight of the eddy current manufacturing capability assessment value of the eddy current manufacturing slot, n i is the total number of vortex manufacturing grooves of the i-th vortex cavity;

[0031] The diversion state coefficient of the diversion steam seal structure in the jth monitoring period:

[0032] Among them, A j is the flow state coefficient of the flow-guiding steam seal structure in the jth monitoring period, c (i+1)j is the comprehensive capacity evaluation value of the i+1th vortex cavity in the jth monitoring period, m is the total number of vortex cavities in the guide steam seal structure, A 0 It is the comprehensive theoretical working capacity evaluation value of the guide steam seal structure.

[0033] Preferably, the diversion state prediction matrix construction module includes:

[0034] A data sorting unit, used for sorting the diversion state coefficients of the diversion steam seal structure in each monitoring period based on the time sequence;

[0035] A matrix element acquisition unit, used to use the diversion state coefficient of the diversion steam seal structure in each monitoring period after time sequence rehearsal as the first row element of the matrix, and use the difference between the element on the right side of each first row element and the element as the second row element corresponding to the element, set the value of the last element in the second row of elements to the same value as the first element in the second row of elements, use the difference between the element on the left side of each first row element and the element as the third row element corresponding to the element, and set the value of the first element in the third row of elements to the same value as the last value in the third row of elements;

[0036] A matrix construction unit, used for constructing a diversion state prediction matrix based on the first row elements, the second row elements and the third row elements;

[0037] The flow diversion state coefficient prediction unit is used to predict the flow diversion state coefficient of the flow diversion steam seal structure in the next monitoring period based on the flow diversion state prediction matrix.

[0038] Preferably, based on the first row elements, the second row elements and the third row elements, a diversion state prediction matrix of the jth monitoring period is constructed:

[0039] in, is the diversion state prediction matrix of the jth monitoring period, A 1 is the diversion state coefficient of the diversion steam seal structure in the first monitoring cycle, A 2 is the flow state coefficient of the flow seal structure in the second monitoring cycle, A 3 is the diversion state coefficient of the diversion steam seal structure in the third monitoring cycle, A j-1 is the flow state coefficient of the flow seal structure in the j-1th monitoring period, A j is the diversion state coefficient of the diversion steam seal structure in the jth monitoring period.

[0040] Preferably, predicting the diversion state coefficient of the diversion steam seal structure in the next monitoring period based on the diversion state prediction matrix includes:

[0041] The mean of all matrix elements in the third row of the diversion state prediction matrix corresponding to each monitoring period is obtained, and the value of the last column of the diversion state prediction matrix corresponding to each monitoring period is set to a value equal to the mean of all matrix elements in the third row, thereby obtaining a new matrix, and the rank of the new matrix is ​​used as the diversion state coefficient of the diversion steam seal structure in the next monitoring period.

[0042] Compared with the prior art, the present invention has the following beneficial effects:

[0043] The present invention increases the flow resistance of steam by arranging a vortex chamber, high teeth and low teeth, thereby reducing the flow velocity of steam and improving the air tightness. At the same time, the process of slowing down the flow velocity can better convert the kinetic energy of steam into thermal energy, thereby improving the efficiency of the steam turbine. At the same time, the present invention can also monitor the diversion condition of the diversion steam seal structure in real time and detect the risk of leakage in time. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0045] Figure 1 The present invention is a schematic diagram of a self-adjusting guide steam seal structure for a steam turbine.

[0046] Figure 2 It is a schematic diagram of the internal structure of the vortex chamber of the present invention.

[0047] In the figure: 1. steam seal body; 100. vortex cavity; 1000. protrusion; 1001. labyrinth cavity; 1002. vortex manufacturing groove one; 1003. vortex manufacturing groove two; 1004. vortex manufacturing groove three; 1005. labyrinth flow path; 1006. vortex; 101. high tooth; 102. low tooth; 2. main shaft; 3. adjustment block; 4. gasket; 5. bolt. DETAILED DESCRIPTION

[0048] The preferred embodiments of the present invention are described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0049] In addition, in the present invention, the descriptions of "first", "second", etc. are only used for descriptive purposes, and do not specifically refer to the order or sequence, nor are they used to limit the present invention. They are only used to distinguish components or operations described with the same technical terms, and cannot be understood as indicating or implying their relative importance or implicitly indicating the number of technical features indicated. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features. In addition, the technical solutions and technical features between the various embodiments can be combined with each other, but they must be based on the ability of ordinary technicians in the field to implement them. When the combination of technical solutions is contradictory or cannot be implemented, it should be considered that such a combination of technical solutions does not exist and is not within the scope of protection required by the present invention.

[0050] The present invention provides the following embodiments

[0051] Example 1

[0052] The embodiment of the present invention provides a self-adjusting guide seal structure and a guide monitoring system for a steam turbine, such as Figure 1 and 2 As shown, it includes a steam seal body 1, which is mounted on a main shaft 2, an adjusting block 3 is arranged outside the steam seal body 1, the steam seal body 1 and the adjusting block 3 are connected by bolts 5, and a gasket 4 is arranged between the steam seal body 1 and the adjusting block 3;

[0053] A plurality of vortex cavities 100 are arranged in the steam seal body 1 , and a plurality of high teeth 101 and low teeth 102 are arranged on the steam seal body 1 .

[0054] The working principle and beneficial effects of the above technical solution are as follows: the method for reducing steam leakage in the guide steam seal structure of the present invention is to reduce the flow rate of steam. The smaller the flow rate of steam flowing through the tooth gap, the smaller the steam leakage. The present invention increases the flow resistance of steam by setting a vortex chamber 100, high teeth 101 and low teeth 102, thereby reducing the flow rate of steam and improving the air tightness. At the same time, the process of slowing down the flow rate can better convert the kinetic energy of steam into thermal energy, thereby improving the efficiency of the turbine. At the same time, the present invention can also monitor the diversion condition of the guide steam seal structure in real time and detect the risk of air leakage in time.

[0055] Example 2

[0056] On the basis of Example 1, the vortex chamber 100 includes a plurality of vortex manufacturing grooves and a labyrinth chamber 1001, and the inner wall of the labyrinth chamber 1001 is provided with a plurality of protrusions 1000;

[0057] The vortex generating groove is used to generate the vortex 1006 .

[0058] Preferably, the plurality of vortex producing grooves include vortex producing groove 1 1002, vortex producing groove 2 1003 and vortex producing groove 3 1004, the inlet of the labyrinth cavity 1001 is located between vortex producing groove 1 1002 and vortex producing groove 2 1003, the outlet of the labyrinth cavity 1001 is connected to the vortex producing groove 1 1002, and the steam flows in the labyrinth cavity 1001 according to the labyrinth flow route 1005.

[0059] Preferably, the shape of the labyrinth chamber 1001 is hook-shaped.

[0060] The working principle and beneficial effects of the above technical solution are as follows: the steam flow velocity is reduced through the labyrinth cavity 1001, and vortices are formed in the vortex manufacturing groove 1 1002, the vortex manufacturing groove 2 1003 and the vortex manufacturing groove 3 1004, thereby better converting kinetic energy into thermal energy. The steam flow velocity is reduced once each time it passes through a group of vortex cavities 100 along the air flow direction, thereby ensuring the air tightness of the guide steam seal structure.

[0061] Example 3

[0062] On the basis of Example 1, a data acquisition module is used to collect the physical parameters of each labyrinth cavity 1001 and eddy current manufacturing tank in each monitoring cycle;

[0063] A flow diversion state coefficient calculation module, used to calculate the flow diversion state coefficient of the flow diversion steam seal structure in each monitoring period based on the physical evaluation parameters of each labyrinth cavity 1001 and the eddy current manufacturing groove in each monitoring period;

[0064] A first-level judgment module is used to judge whether to issue an alarm prompt based on the diversion state coefficient of the diversion steam seal structure in the current monitoring period. If the judgment result is to issue a first-level alarm prompt, a first-level alarm is issued;

[0065] A flow diversion state prediction matrix construction module is used to construct a flow diversion state prediction matrix based on the flow diversion state coefficient of the flow diversion steam seal structure in each monitoring period, and obtain the flow diversion state coefficient of the flow diversion steam seal structure in the next monitoring period based on the flow diversion state prediction matrix;

[0066] The secondary judgment module determines whether to issue an alarm based on the diversion state coefficient of the diversion steam seal structure in the next monitoring cycle. If the judgment result is to issue a secondary alarm, a secondary alarm is issued.

[0067] The working principle and beneficial effects of the above technical solution are as follows: the data acquisition module is used to collect the physical parameters of each labyrinth cavity and eddy current manufacturing groove in each monitoring period; the diversion state coefficient calculation module calculates the diversion state coefficient of the diversion steam seal structure in each monitoring period based on these physical parameters; the first-level judgment module determines whether to issue an alarm prompt based on the diversion state coefficient of the current monitoring period, and issues a first-level alarm; specifically, if the diversion state coefficient of the diversion steam seal structure in the monitoring period is less than the preset diversion state coefficient of the diversion steam seal structure, it proves that there is leakage in the diversion steam seal structure during the operation of the cycle, and a first-level alarm is issued at this time. The prompt is to issue an emergency alarm, and the alarm is checked and processed immediately. The diversion state prediction matrix construction module constructs a diversion state prediction matrix based on the diversion state coefficient, and obtains the diversion state coefficient of the diversion steam seal structure in the next monitoring period based on the matrix. The secondary judgment module determines whether to issue an alarm prompt based on the diversion state coefficient of the next monitoring period, and issues a secondary alarm. If the diversion state coefficient of the diversion steam seal structure in the next monitoring period is less than the preset diversion state coefficient of the diversion steam seal structure, it proves that the diversion steam seal structure in the next monitoring period is very likely to leak, and a secondary alarm prompt is issued in time, so as to replace the diversion steam seal structure in advance;

[0068] By timely monitoring the operation status of the guide steam seal structure in the current cycle and predicting the operation status of the guide steam seal structure in advance, double-layer monitoring ensures the guide condition of the guide steam seal structure and detects leakage risks in time.

[0069] Example 4

[0070] Based on Example 3, the flow diversion state coefficient calculation module includes:

[0071] A labyrinth cavity flow conductivity evaluation value calculation unit, used to calculate the flow conductivity evaluation value of each labyrinth cavity 1001 in each monitoring period based on the logistics parameters of each labyrinth cavity 1001 in each monitoring period;

[0072] The eddy current manufacturing capacity evaluation value calculation unit of the eddy current manufacturing slot is used to calculate the eddy current manufacturing capacity evaluation value of each eddy current manufacturing slot corresponding to each eddy current cavity 100 in each monitoring period based on the logistics parameters of each eddy current manufacturing slot corresponding to each eddy current cavity 100 in each monitoring period;

[0073] A vortex chamber comprehensive capacity evaluation value calculation unit, used to calculate the comprehensive capacity evaluation value of each vortex chamber 100 per monitoring cycle based on the flow conduction capacity evaluation value of each labyrinth chamber 1001 per monitoring cycle and the vortex manufacturing capacity evaluation value of each vortex manufacturing groove corresponding to each vortex chamber 100 per monitoring cycle;

[0074] The flow guiding state coefficient calculation unit of the flow guiding steam seal structure is used to calculate the flow guiding state coefficient of the flow guiding steam seal structure in each monitoring period based on the comprehensive capacity evaluation value of each vortex cavity 100 in each monitoring period.

[0075] Preferably, the evaluation value of the flow conductivity of the labyrinth cavity 1001 corresponding to the i-th vortex cavity 100 in the j-th monitoring period is:

[0076] Among them, a ij is the evaluation value of the flow conductivity of the labyrinth cavity 1001 corresponding to the i-th vortex cavity 100 in the j-th monitoring period, Q ij is the flow detection value at the inlet of the labyrinth cavity 1001 corresponding to the i-th vortex cavity 100 in the j-th monitoring period, ε is the dynamic viscosity of the steam, L ij is the channel length of the labyrinth cavity 1001 corresponding to the i-th vortex cavity 100 in the j-th monitoring period, is the average diameter of the channel of the labyrinth cavity 1001 corresponding to the i-th vortex cavity 100 in the j-th monitoring period, P ij(in) is the air pressure detection value at the inlet of the labyrinth cavity 1001 corresponding to the i-th vortex cavity 100 in the j-th monitoring period, P ij(out) The air pressure detection value at the outlet of the labyrinth cavity 1001 corresponding to the i-th vortex cavity 100 in the j-th monitoring period;

[0077] The eddy current manufacturing capability evaluation value of the kth eddy current manufacturing slot corresponding to the labyrinth cavity 1001 of the i-th eddy current cavity 100 in the j-th monitoring period is:

[0078] Among them, b ijkis the eddy current manufacturing capability evaluation value of the kth eddy current manufacturing slot corresponding to the labyrinth cavity 1001 of the i-th eddy current cavity 100 in the j-th monitoring period, t 0 is the duration of the monitoring cycle, μ ijk is the flow velocity detection value of the kth eddy current manufacturing slot corresponding to the labyrinth chamber 1001 of the i-th eddy current chamber 100 in the j-th monitoring period, B ijk is the width value of the kth eddy current manufacturing groove corresponding to the labyrinth cavity 1001 of the i-th eddy current cavity 100 in the j-th monitoring period, ρ x is the density of steam, d 0 is the reference diameter value of the eddy current;

[0079] The comprehensive capacity evaluation value of the i-th eddy current chamber 100 in the j-th monitoring cycle:

[0080] Among them, c ij is the comprehensive capacity evaluation value of the i-th eddy current chamber 100 in the j-th monitoring period, τ 1 is the evaluation value weight of the flow conductivity of the labyrinth cavity 1001, τ 2 is the weight of the eddy current manufacturing capability assessment value of the eddy current manufacturing slot, n i is the total number of vortex manufacturing grooves of the i-th vortex chamber 100;

[0081] The diversion state coefficient of the diversion steam seal structure in the jth monitoring period:

[0082] Among them, A j is the flow state coefficient of the flow-guiding steam seal structure in the jth monitoring period, c (i+1)j is the comprehensive capacity evaluation value of the i+1th vortex cavity 100 in the jth monitoring period, m is the total number of vortex cavities 100 of the guide steam seal structure, A 0 It is the comprehensive theoretical working capacity evaluation value of the guide steam seal structure.

[0083] The working principle and beneficial effects of the above technical solution are as follows: by introducing a labyrinth cavity flow conductance evaluation value calculation unit, a vortex manufacturing groove vortex manufacturing capacity evaluation value calculation unit, a vortex cavity comprehensive capacity evaluation value calculation unit, and a flow conductance state coefficient calculation unit of a flow conduction steam seal structure, the monitoring accuracy and reliability of the flow conduction steam seal structure are improved;

[0084] By conducting detailed logistics parameter analysis on the labyrinth cavity and vortex manufacturing slot in each monitoring cycle, the flow conduction capacity evaluation value and vortex manufacturing capacity evaluation value of each vortex cavity can be accurately calculated, and then the comprehensive capacity evaluation value can be calculated. This detailed evaluation not only provides a more comprehensive performance evaluation basis, but also effectively identifies potential air leakage risks, thereby triggering the alarm system in time to ensure the safe operation of the steam turbine.

[0085] Accurate calculation of the flow diversion state coefficient can monitor the working state of the flow diversion steam seal structure in real time to ensure that it operates within the optimal efficiency range. Once the flow diversion state coefficient is found to be lower than the preset value, the system will promptly alarm and suggest maintenance or replacement to avoid energy loss and equipment damage caused by leakage, thereby improving the overall efficiency and operation safety of the steam turbine;

[0086] In the process of calculating the guide state coefficient of the guide steam seal structure, the actual operating parameters of each labyrinth cavity 1001 and the eddy current manufacturing groove are referred to, rather than just taking the inlet and outlet physical quantities of the guide steam seal structure for calculation, which ensures the accuracy and meticulousness of the calculation results and improves the reliability of the calculation results.

[0087] Example 5

[0088] Based on Example 3, the diversion state prediction matrix construction module includes:

[0089] A data sorting unit, used for sorting the diversion state coefficients of the diversion steam seal structure in each monitoring period based on the time sequence;

[0090] A matrix element acquisition unit, used to use the diversion state coefficient of the diversion steam seal structure in each monitoring period after time sequence rehearsal as the first row element of the matrix, and use the difference between the element on the right side of each first row element and the element as the second row element corresponding to the element, set the value of the last element in the second row of elements to the same value as the first element in the second row of elements, use the difference between the element on the left side of each first row element and the element as the third row element corresponding to the element, and set the value of the first element in the third row of elements to the same value as the last value in the third row of elements;

[0091] A matrix construction unit, used for constructing a diversion state prediction matrix based on the first row elements, the second row elements and the third row elements;

[0092] The flow diversion state coefficient prediction unit is used to predict the flow diversion state coefficient of the flow diversion steam seal structure in the next monitoring period based on the flow diversion state prediction matrix.

[0093] Preferably, based on the first row elements, the second row elements and the third row elements, a diversion state prediction matrix of the jth monitoring period is constructed:

[0094] in, is the diversion state prediction matrix of the jth monitoring period, A 1 is the diversion state coefficient of the diversion steam seal structure in the first monitoring cycle, A 2 is the flow state coefficient of the flow seal structure in the second monitoring cycle, A 3is the diversion state coefficient of the diversion steam seal structure in the third monitoring cycle, A j-1 is the flow state coefficient of the flow seal structure in the j-1th monitoring period, A j is the diversion state coefficient of the diversion steam seal structure in the jth monitoring period.

[0095] The working principle and beneficial effects of the above technical solution are as follows: the data sorting unit sorts the diversion state coefficient of the diversion steam seal structure of each monitoring period according to the time sequence to ensure that they are arranged in chronological order, which can provide more accurate historical data for subsequent matrix construction and prediction. The matrix element acquisition unit uses the diversion state coefficient of the diversion steam seal structure of each monitoring period sorted according to the time sequence as the first row element of the matrix, and calculates the difference between each element and the element on its right as the second row element, wherein the value of the last element is the same as the value of the first element in the second row, and calculates the difference between each element and the element on its left as the third row element, wherein the value of the first element is the same as the value of the last element in the third row, so as to better reflect the changing trend of the diversion state coefficient and the difference between adjacent periods. The matrix construction unit constructs a diversion state prediction matrix according to the values ​​of the first row elements, the second row elements and the third row elements, and predicts the diversion state coefficient of the diversion steam seal structure of the next monitoring period through historical data. The diversion state coefficient prediction unit predicts the diversion state coefficient of the diversion steam seal structure of the next monitoring period based on the diversion state prediction matrix, so as to discover possible leakage risks in advance.

[0096] By constructing the diversion state prediction matrix and predicting the diversion state coefficient, the system can more accurately predict the diversion state of the diversion steam seal structure, timely discover potential leakage risks, and take corresponding measures for maintenance and repair to ensure the safe and efficient operation of the turbine.

[0097] Example 6

[0098] On the basis of Example 5, the flow state coefficient of the flow-guiding steam seal structure in the next monitoring period is predicted based on the flow-guiding state prediction matrix, including:

[0099] The mean of all matrix elements in the third row of the diversion state prediction matrix corresponding to each monitoring period is obtained, and the value of the last column of the diversion state prediction matrix corresponding to each monitoring period is set to a value equal to the mean of all matrix elements in the third row, thereby obtaining a new matrix, and the rank of the new matrix is ​​used as the diversion state coefficient of the diversion steam seal structure in the next monitoring period.

[0100] The working principle and beneficial effects of the above technical solution are as follows: by calculating the mean of the elements in the third row of the diversion state prediction matrix, the average change trend of the diversion state of the diversion steam seal structure of this period can be obtained, and this average value is applied to the value of the last column in the diversion state prediction matrix. This can ensure that the entire matrix is ​​not interfered by a single matrix element, thereby better ensuring the accuracy of the prediction results.

[0101] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A self-adjusting guide steam seal structure for a steam turbine, characterized in that: The steam seal body (1) comprises a steam seal body (1), the steam seal body (1) is mounted on a main shaft (2), an adjusting block (3) is arranged outside the steam seal body (1), the steam seal body (1) and the adjusting block (3) are connected by bolts (5), and a gasket (4) is arranged between the steam seal body (1) and the adjusting block (3); A plurality of vortex chambers (100) are arranged in the steam seal body (1), and a plurality of high teeth (101) and low teeth (102) are arranged on the steam seal body (1).

2. The self-adjusting guide seal structure for a steam turbine according to claim 1, characterized in that: The vortex chamber (100) comprises a plurality of vortex manufacturing grooves and a labyrinth chamber (1001), and the inner wall of the labyrinth chamber (1001) is provided with a plurality of protrusions (1000); The vortex flow generating groove is used to generate a vortex flow (1006).

3. The self-adjusting guide seal structure for a steam turbine according to claim 2, characterized in that: The plurality of vortex producing grooves include vortex producing groove one (1002), vortex producing groove two (1003) and vortex producing groove three (1004); the inlet of the labyrinth cavity (1001) is located between the vortex producing groove one (1002) and the vortex producing groove two (1003); the outlet of the labyrinth cavity (1001) is communicated with the vortex producing groove one (1002); and the steam flows in the labyrinth cavity (1001) according to the labyrinth flow route (1005).

4. The self-adjusting guide seal structure for a steam turbine according to claim 2, characterized in that: The labyrinth chamber (1001) is hook-shaped.

5. A flow guide monitoring system for monitoring the flow guide state of a self-adjusting flow guide seal structure for a steam turbine according to any one of claims 1 to 4, characterized in that: A data acquisition module, used for collecting physical parameters of each labyrinth cavity (1001) and eddy current manufacturing groove in each monitoring cycle; A flow conduction state coefficient calculation module, used to calculate the flow conduction state coefficient of the flow conduction steam seal structure in each monitoring period based on the physical evaluation parameters of each labyrinth cavity (1001) and the eddy current manufacturing groove in each monitoring period; A first-level judgment module is used to judge whether to issue an alarm prompt based on the diversion state coefficient of the diversion steam seal structure in the current monitoring period. If the judgment result is to issue a first-level alarm prompt, a first-level alarm is issued; A flow diversion state prediction matrix construction module is used to construct a flow diversion state prediction matrix based on the flow diversion state coefficient of the flow diversion steam seal structure in each monitoring period, and obtain the flow diversion state coefficient of the flow diversion steam seal structure in the next monitoring period based on the flow diversion state prediction matrix; The secondary judgment module determines whether to issue an alarm based on the diversion state coefficient of the diversion steam seal structure in the next monitoring cycle. If the judgment result is to issue a secondary alarm, a secondary alarm is issued.

6. A diversion monitoring system according to claim 5, characterized in that: The diversion state coefficient calculation module includes: A labyrinth cavity flow conductivity evaluation value calculation unit, used to calculate the flow conductivity evaluation value of each labyrinth cavity (1001) in each monitoring cycle based on the logistics parameters of each labyrinth cavity (1001) in each monitoring cycle; An eddy current manufacturing slot eddy current manufacturing capacity evaluation value calculation unit is used to calculate the eddy current manufacturing capacity evaluation value of each eddy current manufacturing slot corresponding to each eddy current cavity (100) in each monitoring period based on the logistics parameters of each eddy current manufacturing slot corresponding to each eddy current cavity (100) in each monitoring period; A vortex cavity comprehensive capacity evaluation value calculation unit, used to calculate a comprehensive capacity evaluation value of each vortex cavity (100) in each monitoring cycle based on the flow conduction capacity evaluation value of each labyrinth cavity (1001) in each monitoring cycle and the vortex manufacturing capacity evaluation value of each vortex manufacturing groove corresponding to each vortex cavity (100) in each monitoring cycle; The flow guiding state coefficient calculation unit of the flow guiding steam seal structure is used to calculate the flow guiding state coefficient of the flow guiding steam seal structure in each monitoring period based on the comprehensive capacity evaluation value of each vortex cavity (100) in each monitoring period.

7. A diversion monitoring system according to claim 6, characterized in that: The evaluation value of the flow conductivity of the labyrinth cavity (1001) corresponding to the i-th vortex cavity (100) in the j-th monitoring period is: Among them, a ij is the evaluation value of the flow conductivity of the labyrinth cavity (1001) corresponding to the i-th vortex cavity (100) in the j-th monitoring period, Q ij is the flow rate detection value at the inlet of the labyrinth cavity (1001) corresponding to the i-th vortex cavity (100) in the j-th monitoring period, ε is the dynamic viscosity of the steam, L ij is the channel length of the labyrinth cavity (1001) corresponding to the i-th vortex cavity (100) in the j-th monitoring period, is the average diameter of the channel of the labyrinth cavity (1001) corresponding to the i-th vortex cavity (100) in the j-th monitoring period, P ij(in) is the air pressure detection value at the inlet of the labyrinth chamber (1001) corresponding to the i-th vortex chamber (100) in the j-th monitoring period, P ij(out) An air pressure detection value at the outlet of the labyrinth cavity (1001) corresponding to the i-th vortex cavity (100) in the j-th monitoring period; The eddy current manufacturing capability evaluation value of the kth eddy current manufacturing slot corresponding to the labyrinth cavity (1001) of the i-th eddy current cavity (100) in the j-th monitoring period is: Among them, b ijk is the eddy current manufacturing capability evaluation value of the kth eddy current manufacturing slot corresponding to the labyrinth cavity (1001) of the i-th eddy current cavity (100) in the j-th monitoring period, t0 is the duration of the monitoring period, μ ijk is the flow velocity detection value of the kth vortex manufacturing slot corresponding to the labyrinth chamber (1001) of the i-th vortex chamber (100) in the j-th monitoring period, B ijk is the width value of the kth eddy current manufacturing groove corresponding to the labyrinth cavity (1001) of the i-th eddy current cavity (100) in the j-th monitoring period, ρ x is the density of steam, d0 is the reference diameter of the vortex; The comprehensive capacity evaluation value of the i-th eddy current chamber (100) in the j-th monitoring period is: Among them, c ij is the comprehensive capacity evaluation value of the i-th eddy current chamber (100) in the j-th monitoring period, τ1 is the weight of the flow conductivity evaluation value of the labyrinth chamber (1001), τ2 is the weight of the eddy current manufacturing capacity evaluation value of the eddy current manufacturing groove, and n i is the total number of vortex manufacturing grooves of the i-th vortex chamber (100); The diversion state coefficient of the diversion steam seal structure in the jth monitoring period: Among them, A j is the diversion state coefficient of the diversion steam seal structure in the jth monitoring period, x (i+1)j is the comprehensive capacity evaluation value of the i+1th vortex cavity (100) in the jth monitoring period, m is the total number of vortex cavities (100) of the guide steam seal structure, and A0 is the comprehensive theoretical working capacity evaluation value of the guide steam seal structure.

8. A diversion monitoring system according to claim 5, characterized in that: The diversion state prediction matrix building modules include: A data sorting unit, used for sorting the diversion state coefficients of the diversion steam seal structure in each monitoring period based on the time sequence; A matrix element acquisition unit, used to use the diversion state coefficient of the diversion steam seal structure in each monitoring period after time sequence rehearsal as the first row element of the matrix, and use the difference between the element on the right side of each first row element and the element as the second row element corresponding to the element, set the value of the last element in the second row of elements to the same value as the first element in the second row of elements, use the difference between the element on the left side of each first row element and the element as the third row element corresponding to the element, and set the value of the first element in the third row of elements to the same value as the last value in the third row of elements; A matrix construction unit, used for constructing a diversion state prediction matrix based on the first row elements, the second row elements and the third row elements; The flow diversion state coefficient prediction unit is used to predict the flow diversion state coefficient of the flow diversion steam seal structure in the next monitoring period based on the flow diversion state prediction matrix.

9. A diversion monitoring system according to claim 8, characterized in that: Based on the elements in the first row, the second row, and the third row, the diversion state prediction matrix of the jth monitoring period is constructed: in, is the diversion state prediction matrix of the jth monitoring period, A1 is the diversion state coefficient of the diversion steam seal structure in the first monitoring period, A2 is the diversion state coefficient of the diversion steam seal structure in the second monitoring period, A3 is the diversion state coefficient of the diversion steam seal structure in the third monitoring period, and A j-1 is the flow state coefficient of the flow seal structure in the j-1th monitoring period, A j is the diversion state coefficient of the diversion steam seal structure in the jth monitoring period.

10. A diversion monitoring system according to claim 8, characterized in that: The diversion state coefficient of the diversion steam seal structure in the next monitoring period is predicted based on the diversion state prediction matrix, including: The mean of all matrix elements in the third row of the diversion state prediction matrix corresponding to each monitoring period is obtained, and the value of the last column of the diversion state prediction matrix corresponding to each monitoring period is set to a value equal to the mean of all matrix elements in the third row, thereby obtaining a new matrix, and the rank of the new matrix is ​​used as the diversion state coefficient of the diversion steam seal structure in the next monitoring period.

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