Thermal power plant boiler steam turbine pipeline support hanger dynamic monitoring system

Abstract

The invention provides a thermal power plant boiler steam turbine pipeline support hanger dynamic monitoring system, and relates to the technical field of support hangers, and the system comprises a data collection module which is used for collecting the operation data of the support hanger; the real-time analysis module is used for obtaining a judgment result of the real-time operation state of the support hanger based on the operation data of the support hanger; the hidden danger evaluation module is used for regularly acquiring a hidden danger evaluation result of the support hanger based on the historical operation data of the support hanger within a specified time length range; and the abnormity alarm module is used for triggering an alarm and sending out a warning signal when the judgment result of the real-time running state of the support and hanger displays any one of abnormity and the hidden danger evaluation result of the support and hanger has the hidden danger. Potential risks and faults are predicted through regular hidden danger assessment. By obtaining the hidden danger assessment result, the potential problems of the support hanger can be recognized in advance, and the situation that the equipment reacts before serious faults occur is avoided, so that the downtime and the maintenance cost of the equipment are reduced, and the overall reliability of the equipment is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of pipe supports and hangers, and particularly to a dynamic monitoring system for pipe supports and hangers of boilers and steam turbines in thermal power plants. Background Art

[0002] Thermal power plants are energy facilities widely used in modern industry. Their main equipment includes boilers, steam turbines, and various pipeline systems connected thereto. These devices operate in complex working environments such as long-term high temperature, high pressure, and vibration. Their safety and stability are directly related to the normal production operation and personnel safety of thermal power plants. In particular, the pipe supports and hangers of boilers and steam turbines, as important components for supporting and fixing pipelines, play a crucial role. If a pipe support or hanger fails, it may cause pipeline displacement, deformation, or fracture, thereby affecting the normal operation of the equipment and even triggering serious accidents.

[0003] Existing support and hanger monitoring systems only monitor the current working state of the support and hanger, lacking the detection of potential faults in the support and hanger, and may cause sudden problems due to the accumulation of faults. Summary of the Invention

[0004] The present invention provides a dynamic monitoring system for pipe supports and hangers of boilers and steam turbines in thermal power plants to solve the defect that existing support and hanger monitoring systems in the prior art only monitor the current working state of the support and hanger, lack the detection of potential faults in the support and hanger, and may cause sudden problems due to the accumulation of faults.

[0005] On the one hand, the present invention provides a dynamic monitoring system for pipe supports and hangers of boilers and steam turbines in thermal power plants, including: A data acquisition module for collecting operation data of the support and hanger; A real-time analysis module for obtaining a judgment result of the real-time operation state of the support and hanger based on the operation data of the support and hanger; A hidden danger assessment module for regularly obtaining a hidden danger assessment result of the support and hanger based on the historical operation data of the support and hanger within a specified time length range; An abnormal alarm module for triggering an alarm and emitting a warning signal when any one of the judgment result of the real-time operation state of the support and hanger shows an abnormality and the hidden danger assessment result of the support and hanger has a hidden danger.

[0006] Preferably, the data acquisition module includes: A sampling point setting unit for setting a number of sampling points on the surface of the support and hanger based on the design data of the support and hanger, An original data acquisition unit for obtaining the original operation data of each monitoring point on the support and hanger based on a monitoring sensor group installed at the monitoring point. The original operation data of the monitoring point includes: the load of the monitoring point, the vibration value of the monitoring point, the surface temperature of the monitoring point, and the displacement condition of the monitoring point; A data processing module for processing the original operation data of the monitoring points to obtain the operation data of the hanger.

[0007] Preferably, the real-time analysis module includes: A first judgment unit for judging whether the operation data of the hanger is within the corresponding allowable operation range. If any of the operation data is not within the corresponding allowable operation range, it is judged that there is an abnormal value exceeding the limit. A second judgment unit for judging whether there is an abnormal data mutation. A comprehensive judgment unit. If any one of the abnormal value exceeding the limit and the abnormal data mutation exists, the judgment result of the real-time operation state is that the operation state is abnormal; otherwise, the judgment result of the real-time operation state is that the operation state is normal.

[0008] Preferably, the second judgment unit judges whether there is an abnormal data mutation based on the following method: Step S1: Calculate the change value of the operation data of the hanger. ; where, is the change value of the jth monitoring data of the ith monitoring point of the hanger; is the actual value of the jth monitoring data of the ith monitoring point of the hanger at the current moment; is the actual value of the jth monitoring data of the ith monitoring point of the hanger at the previous monitoring moment; is the absolute value symbol; Step S2: If the change value of any group of data of any kind of operation data is greater than the preset maximum allowable change threshold corresponding to the type of operation data, it is judged that there is an abnormal data mutation; otherwise, it is judged that there is no abnormal data mutation.

[0009] Preferably, the hidden danger assessment module includes: A structure assessment unit for obtaining the structure assessment result of the hanger; A remaining life assessment unit for obtaining the predicted result of the remaining life of the hanger; A parameter adjustment unit for adjusting the allowable operation range of the operation data of the hanger based on the predicted result of the remaining life of the hanger by referring to the comparison table of the remaining life - allowable operation range of the operation data.

[0010] Preferably, the structure assessment unit includes: A deformation assessment sub-unit for obtaining the deformation assessment parameters of the hanger; ; where P is the deformation assessment parameter of the hanger; are the weighted calculation coefficients of the average displacement deformation and the maximum displacement deformation respectively; M is the total number of monitoring points; is the displacement condition of the i-th monitoring point; is the maximum allowable displacement of the monitoring point; MAX is the maximum value function; The load evaluation subunit is used to obtain the load evaluation parameters of the hanger; ; where Q is the load evaluation parameter of the hanger; is the load of the i-th monitoring point; is the surface temperature of the i-th monitoring point; is the standard surface temperature of the i-th monitoring point preset; is the thermal expansion coefficient of the pipeline material; E is the elastic modulus of the pipeline material; is the straight-line distance between the i-th monitoring point and the nearest support point; is the standard load of the i-th monitoring point determined based on the design data of the hanger; is the vibration value of the i-th monitoring point; is the maximum allowable vibration value of the i-th monitoring point; is the maximum allowable load deviation value; The comprehensive evaluation subunit obtains the structural evaluation result of the hanger based on the deformation evaluation parameter and load evaluation parameter of the hanger; If the deformation evaluation parameter of the hanger is greater than the preset first judgment threshold and the load evaluation parameter of the hanger is greater than the preset second judgment threshold, the structural evaluation result of the hanger is a serious hidden danger; If the deformation evaluation parameter of the hanger is greater than the preset first judgment threshold or the load evaluation parameter of the hanger is greater than the preset second judgment threshold, the structural evaluation result of the hanger is a minor hidden danger; If the deformation evaluation parameter of the hanger is less than or equal to the preset first judgment threshold and the load evaluation parameter of the hanger is less than or equal to the preset second judgment threshold, the structural evaluation result of the hanger is no hidden danger.

[0011] Preferably, the life evaluation unit predicts the remaining life of the hanger based on the following formula; ; where is the predicted value of the remaining life of the hanger; is the total theoretical life of the hanger; is the total usage duration of the current hanger; is the reference value of the preset number of faults within the preset unit time length; is the unit time length; is the current total number of faults; P is the deformation evaluation parameter of the hanger; Q is the load evaluation parameter of the hanger.

[0012] Preferably, the abnormal alarm module includes: The real-time alarm unit gives out audible and visual alarms and sends alarm messages to the control center when the judgment result of the real-time operation status is abnormal operation status; The potential hazard alarm unit sends alarm messages to the control center and gives out audible and visual alarms when there are severe potential hazards, and generates potential hazard information and sends it to the control center when there are minor potential hazards; The remaining life alarm unit generates remaining life alarm information and sends it to the control center when the predicted remaining life value is less than the preset remaining life alarm threshold.

[0013] Compared with the prior art, the present invention has the following beneficial effects: By regularly conducting potential hazard assessments, potential risks and faults are predicted. By obtaining the potential hazard assessment results, potential problems of the support and hanger can be identified in advance, avoiding reactions before serious equipment failures occur, thereby reducing equipment downtime and maintenance costs, and improving the overall reliability of the equipment. Through continuous monitoring of the real-time operation data and historical assessments of the support and hanger, data support can be provided for operation and maintenance personnel, which helps to formulate scientific maintenance and overhaul plans. Description of the Drawings

[0014] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following will briefly introduce the drawings required for the description of the embodiments or the prior art. Obviously, the drawings in the following description are some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0015] Figure 1 It is a schematic structural diagram of the present invention. Detailed Embodiments

[0016] To make the objectives, technical solutions, and advantages of the present invention clearer, the following will clearly and completely describe the technical solutions in the present invention with reference to the drawings in the present invention. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art without creative efforts based on the embodiments in the present invention belong to the scope of protection of the present invention.

[0017] In addition, in the present invention, descriptions such as "first" and "second" are for descriptive purposes only, and do not particularly refer to the order or sequence. Nor are they used to limit the present invention. They are merely used to distinguish components or operations described with the same technical terms, and should not be construed as indicating or implying their relative importance or implicitly indicating the quantity of the indicated technical features. Thus, features defined with "first" and "second" may explicitly or implicitly include at least one such feature. In addition, the technical solutions and technical features between various embodiments may be combined with each other, but it must be based on the ability of those of ordinary skill in the art to implement. When the combination of technical solutions results in contradictions 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.

[0018] Embodiment 1 An embodiment of the present invention provides a dynamic monitoring system for pipeline supports and hangers of a thermal power plant boiler steam turbine, including: A data acquisition module for acquiring the operation data of the supports and hangers; A real-time analysis module for obtaining a judgment result of the real-time operation state of the supports and hangers based on the operation data of the supports and hangers; A hidden danger assessment module for regularly obtaining a hidden danger assessment result of the supports and hangers based on the historical operation data of the supports and hangers within a specified time length range; An abnormal alarm module for triggering an alarm and sending a warning signal when any one of the judgment result of the real-time operation state of the supports and hangers shows an abnormality and the hidden danger assessment result of the supports and hangers has a hidden danger.

[0019] Preferably, the data acquisition module includes: A sampling point setting unit for setting a number of sampling points on the surface of the supports and hangers based on the design data of the supports and hangers, A raw data acquisition unit for obtaining the raw operation data of each monitoring point on the supports and hangers based on a monitoring sensor group installed at the monitoring points. The raw operation data of the monitoring points includes: the load at the monitoring point, the vibration value at the monitoring point, the surface temperature at the monitoring point, and the displacement condition at the monitoring point; A data processing module for processing the raw operation data of the monitoring points to obtain the operation data of the supports and hangers.

[0020] In this embodiment, the operation data of the supports and hangers includes: the load, vibration value, surface temperature, and displacement condition of each monitoring point on the supports and hangers.

[0021] In this embodiment, the monitoring sensors include: strain sensors, acceleration sensors, temperature sensors, and displacement sensors.

[0022] In this embodiment, the displacement of the monitoring point refers to the linear distance between the actual position of the monitoring point and its standard installation position, and the standard installation position of the monitoring point refers to the installation position of the monitoring point on the support and hanger as specified in the design data of the support and hanger.

[0023] In this embodiment, the data processing method includes: data cleaning, data integration, outlier removal, and missing value imputation.

[0024] The beneficial effects of the above technical solutions are as follows: By using the data acquisition module to monitor key parameters such as the load, vibration, temperature, and displacement of the support and hanger in real time, the working state of the support and hanger can be grasped in a timely manner, avoiding the long-term operation of the support and hanger under overload conditions, which may cause damage to the support and hanger and pose risks, thereby improving the safety of the overall equipment.

[0025] By regularly conducting potential hazard assessments to predict potential risks and faults. By obtaining the results of potential hazard assessments, potential problems with the support and hanger can be identified in advance, avoiding reactions before serious equipment failures occur, thereby reducing equipment downtime and maintenance costs, and improving the overall reliability of the equipment. Through continuous monitoring of the real-time operation data and historical evaluations of the support and hanger, data support can be provided for operation and maintenance personnel, which helps to formulate scientific maintenance and repair plans.

[0026] Embodiment 2 Based on Embodiment 1, the real-time analysis module includes: The first judgment unit is used to judge whether the operation data of the support and hanger is within the corresponding allowable operation range. If any item of the operation data is not within the corresponding allowable operation range, it is judged that there is a numerical overlimit anomaly; The second judgment unit is used to judge whether there is a data mutation anomaly; The comprehensive judgment unit: if any one of the numerical overlimit anomaly and the data mutation anomaly exists, the judgment result of the real-time operation state is that the operation state is abnormal; otherwise, the judgment result of the real-time operation state is that the operation state is normal. Preferably, the second judgment unit judges whether there is a data mutation anomaly based on the following method; Step S1: Calculate the change value of the operation data of the support and hanger; ; where is the change value of the j-th monitoring data of the i-th monitoring point of the support and hanger; is the actual value of the j-th monitoring data of the i-th monitoring point of the support and hanger at the current moment; is the actual value of the j-th monitoring data of the i-th monitoring point of the support and hanger at the previous monitoring moment; is the absolute value symbol; Step S2: If the change value of any set of data of any kind of operation data is greater than the preset maximum allowable change threshold corresponding to the type of operation data, it is determined that there is an abnormal data mutation; otherwise, it is determined that there is no abnormal data mutation.

[0027] The beneficial effects of the above technical solution are as follows: By monitoring the operation data of the support and hanger in real time, the system can timely detect abnormal situations when the operation data of the support and hanger exceeds the predetermined range, which helps to detect potential faults early and prevent the support and hanger from being damaged due to problems such as overload, overheating, and excessive vibration.

[0028] The second judgment unit is specifically used to detect whether there is an abnormal data mutation (for example: instantaneous sharp fluctuation) in the operation data of the support and hanger. Such an abnormal data mutation may be caused by equipment failure, external impact, or sensor problems. Timely detection of data mutation can help the monitoring system identify and respond to sudden equipment problems in a timely manner, reducing the risk of equipment damage caused by failure to handle in time.

[0029] The comprehensive judgment unit comprehensively judges the abnormal value exceeding the limit and the abnormal data mutation. By combining the judgment results of the two types of abnormalities, the operation state of the support and hanger can be identified more comprehensively and accurately. When any one of the abnormalities occurs, the system immediately determines it as "abnormal operation state", avoiding the neglect of potential risks of the equipment.

[0030] Embodiment 3 On the basis of any one of Embodiments 1-2, the hidden danger assessment module includes: A structure assessment unit for obtaining the structure assessment result of the support and hanger; A life assessment unit for obtaining the predicted result of the remaining life of the support and hanger; A parameter adjustment unit for adjusting the allowable operation range of the operation data of the support and hanger based on the predicted result of the remaining life of the support and hanger by referring to the comparison table of the remaining life - allowable operation range of operation data.

[0031] Preferably, the structure assessment unit includes: A deformation assessment subunit for obtaining the deformation assessment parameters of the support and hanger; ; where P is the deformation assessment parameter of the support and hanger; are the weighted calculation coefficients of the average displacement deformation amount and the maximum displacement deformation amount respectively; M is the total number of monitoring points; is the displacement condition of the i-th monitoring point; is the maximum allowable displacement of the monitoring point; MAX is the maximum value function; A load assessment subunit for obtaining the load assessment parameters of the support and hanger; ; wherein, Q is the load evaluation parameter of the support and hanger. is the load of the i-th monitoring point. is the surface temperature of the i-th monitoring point. is the preset standard surface temperature of the i-th monitoring point. is the thermal expansion coefficient of the pipeline material; E is the elastic modulus of the pipeline material. is the straight-line distance between the i-th monitoring point and the nearest support point. is the standard load of the i-th monitoring point determined based on the design data of the support and hanger. is the vibration value of the i-th monitoring point. is the maximum allowable vibration value of the i-th monitoring point. is the maximum allowable load deviation value. The comprehensive evaluation subunit obtains the structural evaluation result of the support and hanger based on the deformation evaluation parameter and the load evaluation parameter of the support and hanger. If the deformation evaluation parameter of the support and hanger is greater than the preset first judgment threshold and the load evaluation parameter of the support and hanger is greater than the preset second judgment threshold, the structural evaluation result of the support and hanger is a serious hidden danger. If the deformation evaluation parameter of the support and hanger is greater than the preset first judgment threshold or the load evaluation parameter of the support and hanger is greater than the preset second judgment threshold, the structural evaluation result of the support and hanger is a minor hidden danger. If the deformation evaluation parameter of the support and hanger is less than or equal to the preset first judgment threshold and the load evaluation parameter of the support and hanger is less than or equal to the preset second judgment threshold, the structural evaluation result of the support and hanger is no hidden danger.

[0032] Preferably, the life evaluation unit predicts the remaining life of the support and hanger based on the following formula; ; wherein, is the predicted value of the remaining life of the support and hanger. is the total theoretical life of the support and hanger. is the total service duration of the current support and hanger. is the preset reference value of the number of failures within a preset unit time length. is the unit time length. is the current total number of failures; P is the deformation evaluation parameter of the support and hanger; Q is the load evaluation parameter of the support and hanger.

[0033] In this embodiment, the allowable operation interval comparison table of the remaining life - operation data stores the allowable operation intervals of the support and hanger operation data corresponding to the remaining service lives of different support and hangers, where the allowable operation intervals of the support and hanger operation data are obtained through experimental simulation and analysis.

[0034] The beneficial effects of the above technical solutions are: The hidden danger assessment module precisely assesses the deformation and load of the support hanger through the structure assessment unit. The deformation assessment subunit calculates the deformation state of the support hanger based on the displacement deformation amount, while the load assessment subunit calculates the load conditions by combining multiple parameters such as temperature, vibration, and load. Through these assessments, the structural health status of the support hanger can be comprehensively judged, potential structural problems can be identified in advance, and the stability and safety of the support hanger can be ensured.

[0035] The life assessment unit calculates the remaining service life of the support hanger through a formula, taking into account various factors such as the total theoretical life of the support hanger, the current usage duration, the number of failures, and the structural assessment results. The prediction of the remaining life can help the staff understand in advance the remaining service life of the support hanger, make plans for early replacement or maintenance of the equipment, and avoid sudden accidents and potential dangers caused by equipment aging.

[0036] Through the parameter adjustment unit, based on the prediction result of the remaining life of the support hanger, the system can adjust the allowable operating range of the support hanger. This adjustment mechanism can reduce the allowable range of its load and vibration when the remaining life of the support hanger is short, avoid damage to the support hanger caused by excessive vibration and load, and at the same time improve the judgment accuracy of the real-time analysis module, making the judgment basis of the real-time analysis module change according to the aging degree of the support hanger, thereby improving the safety during the use of the support hanger.

[0037] Embodiment 4 On the basis of Embodiment 3, the abnormal alarm module includes: The real-time alarm unit, when the judgment result of the real-time operating state is abnormal operation, gives an audible and visual alarm and sends an alarm message to the control center; The hidden danger alarm unit, when there are serious hidden dangers, sends an alarm message to the control center and gives an audible and visual alarm, and when there are minor hidden dangers, generates a hidden danger message and sends it to the control center; The life alarm unit, when the predicted remaining life value is less than the preset life alarm threshold, generates a life alarm message and sends it to the control center.

[0038] The beneficial effects of the above technical solutions are: According to the different degrees of urgency of equipment hidden dangers, different alarm methods are selected to effectively remind the staff to choose different handling methods. For hidden dangers with a lower degree of urgency, by sending hidden danger information or life alarm information to the control center, it can assist the staff in reasonably adjusting the next maintenance plan, help the management allocate maintenance resources reasonably, improve the resource utilization efficiency, avoid resource waste, and through a comprehensive alarm mechanism, potential problems can be discovered and solved earlier, avoiding the high repair costs caused by the long-term overloading operation of the equipment or the accumulation of hidden dangers. At the same time, the life alarm provides a scientific basis for equipment renewal and maintenance, helps to extend the equipment life and reduce major failures caused by delayed maintenance, thus reducing the overall operation and maintenance costs.

[0039] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions recorded in the foregoing embodiments, or perform equivalent replacements for some of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the various embodiments of the present invention.

Claims

1. A dynamic monitoring system for pipe supports and hangers of boiler turbines in thermal power plants, characterized in that: include: Data acquisition module, used to collect the operation data of the support and hanger; A real-time analysis module is used to obtain a judgment result of the real-time operation status of the support and hanger based on the operation data of the support and hanger; The hidden danger assessment module periodically obtains hidden danger assessment results of the supports and hangers based on the historical operation data of the supports and hangers within a specified time range; The abnormal alarm module triggers an alarm and sends a warning signal when the judgment result of the real-time operation status of the support and hanger shows an abnormality and the hidden danger assessment result of the support and hanger contains any of the hidden dangers.

2. A thermal power plant boiler steam turbine pipeline support and hanger dynamic monitoring system according to claim 1, characterized in that: The data acquisition module includes: The sampling point setting unit sets a number of sampling points on the surface of the support bracket based on the design data of the support bracket. The original data acquisition unit obtains the original operation data of each monitoring point on the support and hanger based on the monitoring sensor group installed on the monitoring point. The original operation data of the monitoring point includes: the load of the monitoring point, the vibration value of the monitoring point, the surface temperature of the monitoring point, and the displacement of the monitoring point; The data processing module is used to process the original operation data of the monitoring point to obtain the operation data of the support and hanger.

3. A thermal power plant boiler steam turbine pipeline support and hanger dynamic monitoring system according to claim 1, characterized in that: Real-time analysis modules include: The first judgment unit is used to judge whether the operation data of the support and hanger is within the corresponding allowable operation range. If any operation data is not within the corresponding allowable operation range, it is judged that there is a value exceeding the limit abnormality; The second judgment unit is used to judge whether there is a data mutation abnormality; The comprehensive judgment unit determines that if there is any one of the numerical value exceeding limit abnormality and the data mutation abnormality, the judgment result of the real-time operation status is that the operation status is abnormal; otherwise, the judgment result of the real-time operation status is that the operation status is normal.

4. A thermal power plant boiler steam turbine pipeline support and hanger dynamic monitoring system according to claim 3, characterized in that: The second judgment unit judges whether there is a data mutation abnormality based on the following method; Step S1: Calculate the change value of the support and hanger operation data; ;in, is the change value of the jth monitoring data of the ith monitoring point of the support and hanger; is the actual value of the jth monitoring data of the ith monitoring point of the support and hanger at the current moment; is the actual value of the jth monitoring data of the ith monitoring point of the support and hanger at the last monitoring moment; is the absolute value symbol; Step S2: If the change value of any group of data of any type of operating data is greater than the preset maximum allowable change threshold corresponding to the corresponding type of operating data, it is determined that there is a data mutation abnormality, otherwise it is determined that there is no data mutation abnormality.

5. A thermal power plant boiler steam turbine pipeline support and hanger dynamic monitoring system according to claim 1, characterized in that: The hazard assessment module includes: A structural assessment unit, used to obtain structural assessment results of supports and hangers; Life assessment unit, used to obtain the remaining life prediction result of the support and hanger; The parameter adjustment unit is used to adjust the allowable operating range of the operating data of the support and hanger based on the remaining life prediction result of the support and hanger by referring to the allowable operating range comparison table of the remaining life-operating data.

6. A thermal power plant boiler steam turbine pipeline support and hanger dynamic monitoring system according to claim 5, characterized in that: The structural assessment unit includes: A deformation assessment subunit, used to obtain deformation assessment parameters of the support and hanger; ; Wherein, P is the deformation evaluation parameter of the support and hanger; are the weighted calculation coefficients of the average displacement deformation and the maximum displacement deformation respectively; M is the total number of monitoring points; is the displacement of the ith monitoring point; is the maximum allowable displacement of the monitoring point; MAX is the maximum value function; A load assessment subunit, used to obtain load assessment parameters of the support and hanger; ; Wherein, Q is the load assessment parameter of the support and hanger; is the load of the ith monitoring point; is the surface temperature of the i-th monitoring point; is the preset standard surface temperature of the ith monitoring point; is the thermal expansion coefficient of the pipeline material; E is the elastic modulus of the pipeline material; is the straight-line distance between the ith monitoring point and the nearest support point; is the standard load of the ith monitoring point determined based on the design data of the supports and hangers; is the vibration value of the ith monitoring point; is the maximum allowable vibration value of the ith monitoring point; is the maximum allowable load deviation value; The comprehensive evaluation subunit obtains the structural evaluation results of the supports and hangers based on the deformation evaluation parameters and load evaluation parameters of the supports and hangers; If the deformation assessment parameter of the support and hanger is greater than the preset first judgment threshold and the load assessment parameter of the support and hanger is greater than the preset second judgment threshold, the structural assessment result of the support and hanger is a serious hidden danger; If the deformation assessment parameter of the support and hanger is greater than the preset first judgment threshold or the load assessment parameter of the support and hanger is greater than the preset second judgment threshold, the structural assessment result of the support and hanger is a slight hidden danger; If the deformation assessment parameter of the support and hanger is less than or equal to a preset first judgment threshold and the load assessment parameter of the support and hanger is less than or equal to a preset second judgment threshold, the structural assessment result of the support and hanger is that there is no hidden danger.

7. A thermal power plant boiler steam turbine pipeline support and hanger dynamic monitoring system according to claim 6, characterized in that: The life assessment unit predicts the remaining life of the support and hanger based on the following formula; ;in, is the predicted value of the remaining life of the support and hanger; is the total theoretical life of the support and hanger; The total usage time of the current support and hanger; is a preset reference value of the number of faults within a preset unit time length; is the unit time length; is the total number of current faults; P is the deformation assessment parameter of the support and hanger; Q is the load assessment parameter of the support and hanger.

8. A thermal power plant boiler steam turbine pipeline support and hanger dynamic monitoring system according to claim 7, characterized in that: The abnormal alarm module includes: A real-time alarm unit, when the real-time operation status is judged to be abnormal, an audible and visual alarm is issued and an alarm message is sent to the control center; Hidden danger alarm unit, when there is a serious hidden danger, sends alarm information to the control center and makes sound and light alarm, when there is a minor hidden danger, generates hidden danger information and sends it to the control center; The life alarm unit generates a life alarm message and sends it to the control center when the remaining life prediction value is less than the preset life alarm threshold.

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