Method and system for joint online multi-objective and multi-dimensional monitoring of a nuclear turbine

Abstract

This multi-objective and multi-dimensional online monitoring method for a nuclear turbine comprises: obtaining first temperature monitoring data of the nuclear turbine by performing online thermal monitoring of a rotor, a valve cage and a cylinder under rapid start; obtaining second sealing temperature monitoring data of a flange mating plane of the cylinder by performing online thermal monitoring of the sealing of the flange mating plane; obtaining operation monitoring data of a shaft vibration of a rotor and bearing system of the nuclear turbine by performing online safety monitoring of the shaft vibration;and optimizing the operation and maintenance control of the nuclear turbine based on at least one type of monitoring data, the second temperature monitoring data and the operation monitoring data. Figure for abstract: Fig 2;

Description

Title of the invention: Method and system for joint online multi-objective and multi-dimensional monitoring for a nuclear turbine FIELD OF THE INVENTION

[0001] The present invention relates to the field of nuclear turbine technologies and, more particularly, to a method and system for multi-objective and multi-dimensional online joint monitoring for a nuclear turbine. A nuclear turbine is a turbine used for the production of electricity in a nuclear power plant. CONTEXT OF THE INVENTION

[0002] Nuclear power generation does not emit carbon dioxide and is one of the important methods of generating electricity to achieve "carbon neutrality". In order to improve the service life, safety and reliability of a nuclear turbine and ensure long-term safe operation of the nuclear turbine, it is necessary to carry out online monitoring of the key components of the nuclear turbine. Statement of the invention

[0003] Embodiments of the present disclosure seek to solve at least one of the problems existing in the related art at least to some extent.

[0004] The subject of the invention is a method for joint online multi-objective and multi-dimensional monitoring of a nuclear turbine. The method comprises: - obtaining first temperature monitoring data of the nuclear turbine by performing online thermal monitoring of a rotor, a valve cage and a cylinder of the nuclear turbine under rapid start; - obtaining second sealing temperature monitoring data of a flange mating plane of the nuclear turbine cylinder by performing online thermal monitoring of the sealing of the flange mating plane; - obtaining operational monitoring data of a shaft vibration of a rotor and bearing system of the nuclear turbine by performing online safety monitoring of the shaft vibration of the rotor and bearing system; and - optimizing the operation and maintenance control of the nuclear turbine based on at least one type of monitoring data among the first temperature monitoring data, the second temperature monitoring data and the operation monitoring data.

[0005] The embodiments of the present disclosure can perform joint monitoring from multiple aspects of the rotor, valve cage and cylinder of the nuclear turbine under rapid start, the sealing of the flange association plane of the cylinder, and the safety of the shaft vibration of the rotor and bearing system, and optimize the operation and maintenance control of the nuclear turbine based on the monitoring results, so as to improve the service life, safety and reliability of the nuclear turbine, and ensure long-term safe operation of the nuclear turbine.

[0006] According to one feature, obtaining the first temperature monitoring data of the nuclear turbine by performing the online thermal monitoring of the rotor, valve cage and cylinder of the nuclear turbine under rapid start comprises:

[0007] - obtaining rotor thermal stress monitoring parameters, nuclear turbine valve and cylinder cage under rapid start for multiple operating conditions;

[0008] - obtaining a rotor temperature difference ratio, a ratio of valve cage temperature difference and cylinder temperature difference ratio based on thermal stress monitoring parameters; and

[0009] - determining a temperature difference ratio of the nuclear turbine, as the first temperature monitoring data, based on the rotor temperature difference ratio, valve cage temperature difference ratio and cylinder temperature difference ratio.

[0010] According to another characteristic, the invention uses a method for obtaining a temperature difference ratio of a target component of the nuclear turbine which comprises:

[0011] - obtaining a volume average temperature difference and a parameter thermal stress monitoring of the target component, wherein the target component is one of the rotor, the valve cage and the cylinder;

[0012] - obtaining material attribute data of a material corresponding to the target component at operating temperature; and

[0013] - determining the temperature difference ratio of the target component in function of the volume average temperature difference, material attribute data and thermal stress monitoring parameter of the target component.

[0014] For example, determining the temperature difference ratio of the nuclear turbine based on the rotor temperature difference ratio, the valve cage temperature difference ratio, and the cylinder temperature difference ratio includes:

[0015] - selecting a maximum temperature difference ratio from the ratio of rotor temperature difference, valve cage temperature difference ratio and cylinder temperature difference ratio; and

[0016] - determining the maximum temperature difference ratio as nuclear turbine temperature difference ratio.

[0017] According to another feature, obtaining the second temperature monitoring data of the sealing of the flange association plane of the nuclear turbine cylinder by performing the online thermal monitoring of the sealing of the flange association plane comprises:

[0018] - obtaining a monitoring temperature limit value for the sealing of the nuclear turbine cylinder flange association plan;

[0019] - obtaining an external metal temperature for sealing the plane cylinder flange association; and

[0020] - determining the second temperature monitoring data of the plane flange association depending on the monitoring temperature limit value and the external metal temperature.

[0021] Advantageously, determining the second temperature monitoring data of the flange association plan as a function of the monitoring temperature limit value and the external metal temperature comprises:

[0022] - determining an external metal temperature ratio of the association plane of flanges as second temperature monitoring data depending on the external metal temperature and the monitoring temperature limit value.

[0023] According to another feature, obtaining operational monitoring data of a shaft vibration of a rotor and bearing system of the nuclear turbine by performing online safety monitoring of the shaft vibration of the rotor and bearing system comprises:

[0024] - obtaining a peak-to-peak value of a relative shaft vibration displacement online monitoring of a rotor journal and online monitoring of a vibration speed of a bearing body in a case where the rotor and bearing system of the nuclear turbine is under forced vibration and self-excited vibration action, both as online monitoring data of shaft vibration; and

[0025] - determining vibration operation monitoring data shaft based on online shaft vibration monitoring data.

[0026] Advantageously, determining the shaft vibration operating monitoring data based on the shaft vibration online monitoring data comprises:

[0027] - determining a relative shaft vibration displacement ratio in function of the peak-to-peak value of the relative displacement of the rotor journal online monitoring shaft vibration;

[0028] - determining an online monitoring vibration speed ratio in function of the online monitoring vibration speed of the bearing body; and

[0029] - determining the relative shaft vibration displacement ratio and the ratio online monitoring vibration speed as shaft vibration operation monitoring data.

[0030] According to another characteristic, the optimization of the operation and maintenance control of the nuclear turbine according to the at least one type of monitoring data among the first temperature monitoring data, the second temperature monitoring data and the operation monitoring data comprises:

[0031] - obtaining respective monitoring qualification conditions for the first temperature monitoring data, second temperature monitoring data and operation monitoring data;

[0032] - the implementation of an abnormal determination on each of the first data temperature monitoring data, second temperature monitoring data and operation monitoring data based on the corresponding monitoring qualification condition, to determine abnormal monitoring data that does not meet the monitoring qualification condition;

[0033] - the generation of a set of nuclear turbine optimization strategies on the base of abnormal monitoring data that does not satisfy the monitoring qualification condition, wherein the set of optimization strategies includes at least one optimization and improvement strategy; and

[0034] - optimization of the operation and maintenance control of the nuclear turbine depending on the set of optimization strategies.

[0035] Advantageously, the optimization of the operation and maintenance control of the nuclear turbine according to the set of optimization strategies comprises:

[0036] - obtaining an optimization object of the nuclear turbine as a function of the set of optimization strategies; and

[0037] - optimizing the optimization object based on optimization information of the optimization object in the set of optimization strategies.

[0038] Advantageously, after optimizing the optimization object based on the optimization information of the optimization object in the set of optimization strategies, the method further comprises:

[0039] - the continuation of the supervision of abnormal monitoring data which does not do not meet the surveillance qualification condition; and

[0040] - in response to obtaining monitoring data again that does not satisfy still not meet the monitoring qualification condition, updating the optimization and improvement strategy, and continuing the optimization of the optimization object based on the updated optimization and improvement strategy.

[0041] According to a second aspect, the invention relates to a multi-objective and multi-dimensional online joint monitoring system for a nuclear turbine. The system comprises: - a first monitoring module, configured to obtain first temperature monitoring data of the nuclear turbine by performing online thermal monitoring of a rotor, a valve cage and a cylinder of the nuclear turbine under rapid start; - a second monitoring module, configured to obtain second sealing temperature monitoring data of a flange mating plane of the nuclear turbine cylinder by performing online thermal monitoring on the sealing of the flange mating plane; - a third monitoring module, configured to obtain operational monitoring data of a shaft vibration of a rotor and bearing system of the nuclear turbine by performing online safety monitoring of the shaft vibration of the rotor and bearing system; and - an optimization module, configured to optimize an operating and maintenance control of the nuclear turbine based on at least one type of monitoring data among the first temperature monitoring data, the second temperature monitoring data and the operation monitoring data.

[0042] According to a third aspect, the invention relates to an electronic device. The electronic device comprises: - at least one processor; and - a memory connected in communication to the at least one processor; in which,

[0043] the memory stores instructions executable by the at least one processor, and when the instructions are executed by the at least one processor, the at least one processor is caused to implement the multi-objective and multi-dimensional online joint monitoring method for the nuclear turbine described above.

[0044] According to a fourth aspect, the invention relates to a non-transitory computer-readable storage medium on which computer instructions are stored. The computer instructions are configured to cause a computer to execute the multi-objective and multi-dimensional online joint monitoring method for the nuclear turbine described above.

[0045] According to a fifth aspect, the invention relates to a program product in computer program having a computer program. The multi-objective and multi-dimensional online joint monitoring method for the nuclear turbine described above is implemented when the computer program is executed by a processor. Brief description of the drawings

[0046] [Fig.l] is a schematic diagram illustrating a joint monitoring platform for a nuclear turbine according to one embodiment of the present disclosure.

[0047] [Fig.2] is a flowchart illustrating a joint online monitoring process multi-objective and multi-dimensional for a nuclear turbine according to an embodiment of the present disclosure.

[0048] [Fig.3] is a flowchart illustrating a joint online monitoring process multi-objective and multi-dimensional for a nuclear turbine according to another embodiment of the present disclosure.

[0049] [Fig.4] is a flowchart illustrating a method for online monitoring of a rotor, of a valve cage and a cylinder of a nuclear turbine under rapid start according to another embodiment of the present invention.

[0050] [Fig.5] is a flowchart illustrating a method for online monitoring of a rotor, of a valve cage and a cylinder applicable for a specific type of nuclear turbine under rapid start according to an embodiment of the present invention.

[0051] [Fig.6] is a flowchart illustrating an online thermal monitoring method of the sealing of a flange association plane of a cylinder of a nuclear turbine according to another embodiment of the present disclosure.

[0052] [Fig.7] is a flowchart illustrating an online thermal monitoring method of the sealing of a flange association plane of a cylinder applicable for a nuclear turbine according to another embodiment of the present disclosure.

[0053] [Fig.8] is a flowchart illustrating an online security monitoring method of shaft vibration of a rotor and bearing system according to another embodiment of the invention.

[0054] [Fig.9] is a flowchart illustrating an online security monitoring method of shaft vibration applicable for a rotor and bearing system according to another embodiment of the present disclosure.

[0055] [Fig. 10] is a functional diagram illustrating a joint surveillance system in multi-objective and multi-dimensional line for a nuclear turbine according to an embodiment of the present disclosure.

[0056] [Fig. 11] is a functional diagram illustrating an electronic device according to a mode of making this disclosure. DETAILED DESCRIPTION

[0057] Reference will now be made in detail to embodiments of the present disclosure. Examples of the embodiments of the present disclosure are shown in the drawings, in which identical or similar elements and elements having identical or similar functions are designated by identical reference numerals throughout the descriptions. The embodiments described herein according to the drawings are illustrative, used to explain the present disclosure, and should not be construed as limiting the present disclosure.

[0058] [Fig.l] is a schematic diagram illustrating a joint monitoring platform for a nuclear turbine according to an embodiment of the present disclosure. As illustrated in [Fig.l], the joint monitoring platform comprises a component model database 1, a load database 2, a material database 3, a computation server 4, a web-connected server 5 (or web server) and a client browser 6.

[0059] The component model database 1 stores component design parameters and three-dimensional mechanical models of the nuclear turbine. The load database 2 stores a pressure load, a centrifugal load, a thermal load, a prestress load in a bolt, a stiffness coefficient and a damping coefficient of a bearing oil film, a metal temperature of a measuring point at a depth of 85% to 95% of a wall thickness of an inner cylinder, a metal temperature of a measuring point at a depth of 85% to 95% of the wall thickness of the valve cage and the cylinder, a metal temperature of a measuring point at a depth of 45% to 50% of the wall thickness of the valve cage and the cylinder,an external metal temperature on an outer side of a flange association plane in the case where steam leakage occurs at a position where the tightness is weakest on the flange association plane of the cylinder, a peak-to-peak value Dppr(pm) of an online monitoring shaft vibration relative displacement of a rotor journal of the nuclear turbine, an online monitoring vibration velocity Vb(mm / s) of a bearing housing of the nuclear turbine, a start-stop curve of the nuclear turbine. The material database 3 stores physical properties of materials, mechanical properties of materials, long-term high-temperature mechanical properties and fatigue fracture mechanical properties of the nuclear turbine. The computing server 4 comprises a memory,a processor and a multi-objective and multi-dimensional online safety monitoring computer program for the nuclear turbine stored in the memory and executable on the processor. When the processor executes the computer program, a multi-objective and multi-dimensional online joint monitoring method for the nuclear turbine is provided, by this disclosure is made.

[0060] The component model database 1, the load database 2 and the material database 3 are communicatively connected to the computer server 4, and are configured to send mechanical models and data that are required for the nuclear turbine rotor when operating under different objects and different dimensions for monitoring purposes to the computer server 4.

[0061] The computer server 4 communicates with the web server 5, and the web server 5 communicates with the client browser 6. Monitoring data or optimization information may be returned to the web server 5 and the client browser 6 for display.

[0062] A multi-objective and multi-dimensional online joint monitoring method for a nuclear turbine, a system, an electronic device and a storage medium provided according to embodiments of the present disclosure are described with reference to the drawings.

[0063] [Fig.2] is a flowchart illustrating a multi-objective and multi-dimensional online joint monitoring method for a nuclear turbine according to an embodiment of the present disclosure. The multiple objectives may include long service life, high safety and high reliability, etc., and the multiple dimensions may include a rotor, a valve cage and a cylinder under rapid start, sealing of a flange mating plane of the cylinder and safety of shaft vibration of a rotor and bearing system, etc.

[0064] As illustrated in [Fig.2], the method comprises the following steps.

[0065] In the initial step S201, first temperature monitoring data of the nuclear turbine are obtained by performing online thermal monitoring on a rotor, a valve cage and a cylinder of the nuclear turbine under rapid start.

[0066] Under the rapid start condition, some damage will be caused to some components of the nuclear turbine. The damage of the nuclear turbine under thermal stress action caused by the rapid start mainly affects components such as the rotor, the valve cage and the cylinder of the nuclear turbine.

[0067] Rapid start may cause thermal stress action. In the present disclosure, online thermal monitoring may be performed on the rotor, valve cage and cylinder of the nuclear turbine under rapid start to obtain online thermal monitoring data of the rotor, valve cage and cylinder. In order to improve the monitoring accuracy, temperature monitoring data for optimizing the operation of the nuclear turbine can be determined based on online thermal monitoring data of the rotor, valve cage and cylinder.

[0068] In the following step S202, second temperature monitoring data of the sealing of the flange association plane is obtained by performing online thermal monitoring on the sealing of the flange association plane.

[0069] The degradation of the sealing of the flange association plane may lead to steam leakage from the flange association plane of the cylinder. In order to avoid the dangers and pollution caused by the steam leakage, in the present disclosure, it is necessary to monitor the sealing of the flange association plane of the cylinder of the nuclear turbine and obtain the second temperature monitoring data of the sealing of the flange association plane. The second temperature monitoring data can be configured to determine whether the steam leakage occurs at the flange association plane of the cylinder of the nuclear turbine, so as to optimize the operation and maintenance control of the nuclear turbine over time or in advance and improve safety.

[0070] In the next step S203, shaft vibration operation monitoring data is obtained by performing online safety monitoring of the shaft vibration of the rotor and bearing system.

[0071] When the rotor and bearing system is subjected to forced vibration and self-excited vibration, some components of the nuclear turbine are damaged, thereby affecting the safety and service life of the nuclear turbine. In the embodiment of the present disclosure, online safety monitoring is performed on the shaft vibration of the rotor and bearing system of the nuclear turbine to determine the operation monitoring data of the shaft vibration. By determining whether the rotor and bearing system has problems through the operation monitoring data, it is possible to avoid affecting the normal operation of the nuclear turbine.

[0072] In the following step S204, an operation and maintenance control of the nuclear turbine is optimized based on at least one type of monitoring data among the first temperature monitoring data, the second temperature monitoring data and the operation monitoring data.

[0073] It can be determined whether the nuclear turbine satisfies the monitoring qualification conditions based on the first temperature monitoring data, the second temperature monitoring data, and the operation monitoring data. In the case where one type of monitoring data does not satisfy its monitoring qualification condition, the nuclear turbine is optimized based on abnormal monitoring data that does not satisfy the monitoring qualification condition.

[0074] The nuclear turbine can respectively be optimized according to various abnormal monitoring data. Or various abnormal monitoring data can be jointly analyzed to form an analysis result, and the nuclear turbine can be comprehensively optimized based on the analysis result.

[0075] In embodiments of the present disclosure, multi-objective and multi-dimensional online monitoring is performed on the nuclear turbine to obtain multi-dimensional monitoring data. The service life, safety and reliability of the nuclear turbine can be optimized based on the multi-dimensional monitoring data, to ensure a long service life, high safety and high operational reliability of the nuclear turbine under the action of various damage mechanisms.

[0076] [Fig. 3] is a flowchart illustrating a method for multi-objective and multi-dimensional online joint monitoring for a nuclear turbine according to another embodiment of the present disclosure. As illustrated in [Fig. 3], the method comprises the following steps.

[0077] In the initial step S301, first temperature monitoring data of the nuclear turbine are obtained by performing online thermal monitoring of a rotor, a valve cage and a cylinder of the nuclear turbine under rapid start.

[0078] Alternatively, thermal stress monitoring parameters of the rotor, valve cage and cylinder of the nuclear turbine under rapid start for multiple operating conditions are obtained. Further, a rotor temperature difference ratio, a valve cage temperature difference ratio and a cylinder temperature difference ratio are obtained based on the thermal stress monitoring parameters. And a temperature difference ratio of the nuclear turbine is determined as first temperature monitoring data based on the rotor temperature difference ratio, the valve cage temperature difference ratio and the cylinder temperature difference ratio.

[0079] In some embodiments, a volume average temperature difference and thermal stress monitoring parameters of the target component are obtained. The target component is one of the rotor, the valve cage, and the cylinder. Material attribute data of a material corresponding to the target component at an operating temperature is obtained. The temperature difference ratio of the target component is determined based on the volume average temperature difference, the material attribute data, and the thermal stress monitoring parameters of the target component.

[0080] Alternatively, a maximum temperature difference ratio is selected from the rotor temperature difference ratio, the valve cage temperature difference ratio, and the cylinder temperature difference ratio. The maximum temperature difference ratio is determined as the nuclear turbine temperature difference ratio. The maximum temperature difference ratio is obtained based on the first temperature monitoring data of the nuclear turbine.

[0081] In the following step S302, second temperature monitoring data of the sealing of the flange association plane is obtained by performing online thermal monitoring on the sealing of the flange association plane.

[0082] Alternatively, implementing the online thermal monitoring of the sealing of the flange association plane of the nuclear turbine cylinder comprises: obtaining a monitoring temperature limit value of the sealing of the flange association plane of the nuclear turbine cylinder; obtaining an external metal temperature of the sealing of the flange association plane of the cylinder; and determining the second temperature monitoring data of the flange association plane according to the monitoring temperature limit value and the external metal temperature after obtaining the monitoring temperature limit value and the external metal temperature.

[0083] Alternatively, an external metal temperature ratio for the flange association plane is determined as second temperature monitoring data based on the external metal temperature and the monitoring temperature limit value.

[0084] In the following step S303, shaft vibration operation monitoring data is obtained by performing online safety monitoring of the shaft vibration of the rotor and bearing system.

[0085] Alternatively, a peak-to-peak value of an online monitoring shaft vibration relative displacement of a rotor journal and an online monitoring vibration speed of a bearing body in a case where the rotor and bearing system of the nuclear turbine is under a forced vibration and self-excited vibration action are both obtained as online monitoring data of the shaft vibration. The operation monitoring data of the shaft vibration is determined based on the online monitoring data of the shaft vibration.

[0086] In some embodiments, after the peak-to-peak value of the online monitoring shaft vibration relative displacement of the rotor journal, a shaft vibration relative displacement ratio may be determined based on the peak-to-peak value of the online monitoring shaft vibration relative displacement of the rotor journal. After obtaining the online monitoring vibration velocity of the bearing housing, an online monitoring vibration velocity ratio is determined according to the online monitoring vibration speed of the bearing body. The shaft vibration relative displacement ratio and the online monitoring vibration speed ratio are determined as the shaft vibration operation monitoring data.

[0087] In the next step S304, respective monitoring qualification conditions for the first temperature monitoring data, the second temperature monitoring data, and the operation monitoring data are obtained.

[0088] The first temperature monitoring data may correspond to a monitoring qualification condition that the rotor, the valve cage, and the cylinder operate safely under rapid start. The second temperature monitoring data may correspond to a monitoring qualification condition that the sealing of the flange mating plane prevents steam leakage from the nuclear turbine. The operation monitoring data may correspond to a monitoring qualification condition that the rotor and bearing system operate safely under the action of the forced vibration and the self-excited vibration.

[0089] In the present disclosure, after determining the monitoring data of each dimension, the respective monitoring qualification conditions can be determined from a set of monitoring qualification conditions based on a monitoring object and a monitoring dimension to which the monitoring data belongs.

[0090] In the following step S305, an abnormal determination is performed on each of the first temperature monitoring data, the second temperature monitoring data, and the operation monitoring data respectively on the basis of the corresponding monitoring qualification condition, to determine abnormal monitoring data that does not satisfy the monitoring qualification condition.

[0091] All the monitoring data are compared with their own monitoring qualification condition to determine whether each of the monitoring data satisfies its own monitoring qualification condition. For the first temperature monitoring data, the second temperature monitoring data and the operation monitoring data, the monitoring data which does not satisfy its own monitoring qualification condition is determined as abnormal monitoring data. The abnormal monitoring data can reflect the risks of the relevant components of the nuclear turbine, and then the operation and maintenance control can be optimized based on the abnormal monitoring data.

[0092] In the next step S306, a set of optimization strategies for the nuclear turbine is generated based on the abnormal monitoring data that does not satisfy the monitoring qualification condition. The set of optimization strategies comprises at least one optimization and improvement strategy.

[0093] This set may comprise one or more abnormal monitoring data, and the optimization and improvement strategies of the nuclear turbine may be generated respectively according to different abnormal monitoring data. An optimization strategy set may be formed based on the generated optimization and improvement strategies. It should be noted that the optimization strategy set may comprise an optimization and improvement strategy.

[0094] In the following step S307, the operation and maintenance control of the nuclear turbine is optimized based on the set of optimization strategies.

[0095] Alternatively, the set of optimization strategies is traversed. Each time one of the optimization and improvement strategies is passed, the optimization and improvement strategy is analyzed to extract an optimization object on the nuclear turbine and optimization information from the optimization object.

[0096] Alternatively, the optimization and improvement strategy includes identifying information of an optimization object to be optimized, such as a name or serial number of the optimization object. In some implementations, the identifying information may be the name of the optimization object, and the name of the object may be extracted from the optimization and improvement strategy by semantic analysis, which is the identifying information. In other implementations, when the serial number is used as the identifying information, characteristic symbols may be defined before and after the serial number. For example, #3# may be used as a field, which may indicate that the number "3" is the identifying information.

[0097] For each optimization and improvement strategy, the optimization and improvement strategy may include optimization information of at least one optimization object, and the optimization information is configured to indicate how to adjust or optimize the optimization object corresponding to the optimization information.

[0098] After identifying the identification information from the optimization and improvement strategy, the optimization information matched with the identification information can be determined from multiple optimization information based on the identification information, and the optimization information matched with the identification information is determined as optimization information of an object. optimization object identified by the identification information. After obtaining the optimization information of the respective optimization objects, an optimization adjustment can be made based on the optimization information of the respective optimization objects.

[0099] For example, when the first temperature monitoring data is the abnormal monitoring data, the rapid startup process of the nuclear turbine can be optimized. That is, the optimization object may be the rapid startup process, and the optimization information may be information of the rapid startup process, such as a startup procedure or startup logic, or a startup condition, or a startup monitoring parameter, etc.

[0100] As another example, when the second temperature monitoring data is the abnormal monitoring data, the nuclear turbine may be stopped for maintenance and may resume operation after increasing a prestress force of a bolt. That is, the optimization object may be the bolt, and the optimization information may be the increase in the prestress force of the bolt, or a subsequent operation procedure, etc.

[0101] As another example, when the operation monitoring data is the abnormal monitoring data, the rotor and bearing of the nuclear turbine can be examined and repaired to find a reason for the excessive vibration of the rotor and bearing and make improvements. That is, the optimization object may be the rotor and bearing system, the optimization information may be an examination and repair scheme, an examination and repair objective, or a condition for completing the examination and repair of the rotor and bearing system.

[0102] In embodiments of the present invention, multi-objective and multi-dimensional online monitoring is performed on the nuclear turbine to obtain multi-dimensional monitoring data. The service life, safety and reliability of the nuclear turbine can be optimized based on the multi-dimensional monitoring data, to ensure a long service life, high safety and high operational reliability of the nuclear turbine under the action of various damage mechanisms.

[0103] As a possible implementation, after the optimization of the optimization object, the monitoring of abnormal monitoring data not satisfying the monitoring qualification condition is continued. In response to monitoring data being obtained again and still not satisfying the monitoring qualification condition, the optimization and improvement strategy is updated, and the optimization of the optimization object is continued on the basis of the updated optimization and improvement strategy to allow all types of data monitoring to meet the respective monitoring qualification conditions.

[0104] Alternatively, the optimization and improvement strategy may also be fed back to the operation and maintenance personnel for confirmation. When it is necessary to adjust the optimization and improvement strategy, an adjustment instruction may be received, and the optimization and improvement strategy may be refined according to the adjustment instruction, so as to better optimize the control of the nuclear turbine, which contributes to ensuring the long service life, high safety and high operational reliability of the nuclear turbine.

[0105] It should be noted that, in the present disclosure, the online monitoring can be performed simultaneously on three aspects: the rotor, the valve cage and the cylinder during the quick start; the sealing of the flange association plane of the cylinder; and the shaft vibration of the rotor and bearing system. Or the online monitoring can be performed on two combinations in the three aspects, for example, the online monitoring can be performed simultaneously on the rotor, the valve cage and the cylinder during the quick start; and the sealing of the flange association plane of the cylinder. As another example, the online monitoring can be performed simultaneously on the rotor, the valve cage and the cylinder during the quick start and the shaft vibration of the rotor and bearing system.As another example, online monitoring can be performed simultaneously on the cylinder flange mating plane tightness and the shaft vibration of the rotor and bearing system.

[0106] For ease of description, the streams for online monitoring in the above three aspects will be described separately below. Those skilled in the art should be aware that the streams for online monitoring in the three aspects may be combined in this application to form joint monitoring.

[0107] [Fig.4] is a flowchart illustrating a method for online monitoring of a rotor, a valve cage and a cylinder of a nuclear turbine under rapid start according to another embodiment of the present disclosure. As illustrated in [Fig.4], the method comprises the following steps.

[0108] In the initial step S401, thermal stress monitoring parameters of a rotor, a valve cage and a cylinder of a nuclear turbine under rapid start are obtained.

[0109] Under thermal stress action caused by rapid start, some components of the nuclear turbine are damaged. The damage of the nuclear turbine under thermal stress action caused by rapid start mainly affects components such as the rotor, valve cage and cylinder of the nuclear turbine.

[0110] In embodiments of the present disclosure, a metal temperature of a measuring point in a first predetermined depth range of a wall thickness of an inner cylinder, metal temperatures of respective measuring points in a second predetermined depth range and a third predetermined depth range of a wall thickness of the valve cage, and data of design parameters, three-dimensional mechanical models and mechanical properties of materials of the rotor, the valve cage and the cylinder of the nuclear turbine are respectively obtained.The rotor, valve cage and cylinder are simulated under excessive thermal stress during rapid startup, so as to obtain a thermal stress corresponding to N years of life for the nuclear turbine rotor, a thermal stress corresponding to the N years of life for the nuclear turbine valve cage, a thermal stress corresponding to the N years of life for the nuclear turbine cylinder, and a volume average temperature of the rotor during a startup, shutdown or operation process of the nuclear turbine. It should be noted that the volume average temperature of the rotor is a simulation value of the volume average temperature simulated in a simulation method.

[0111] Alternatively, N is a service life of the nuclear turbine, for example the value of N may be 60 years.

[0112] In the next step S402, a rotor temperature difference ratio, a valve cage temperature difference ratio, and a cylinder temperature difference ratio are obtained based on the thermal stress monitoring parameters.

[0113] A volume average temperature difference, a thermal stress monitoring parameter of the target component, and material attribute data of a material corresponding to the target component at an operating temperature are obtained. The temperature difference ratio of the target component is determined based on the volume average temperature difference, the material attribute data, and the thermal stress monitoring parameter of the target component.

[0114] In some implementations, the descriptions are made by taking the rotor as an example as a target component. A volume average temperature difference A / mr of the rotor is obtained as a function of the simulation value tmi of the volume average temperature of the rotor and the metal temperature t95r at the measurement point in the first predetermined depth range of the wall thickness of the inner cylinder of the nuclear turbine, which is. = f । For example, the first predetermined depth range can be a depth range of 85% to 95% of the inner cylinder wall thickness. The temperature difference ratio RAü of the rotor can be obtained according to the temperature difference volume average A / mr of the rotor and the thermal stress monitoring parameter crthr of the rotor, and a modulus of elasticity Ei, a coefficient of linear expansion and a Poisson's ratio / ii of a material corresponding to the rotor at the operating temperature, using the following formula:

[0115] .

[0116] In some implementations, the descriptions are made by taking the valve cage as an example as a target component. A volume average temperature difference A / mv of the valve cage is obtained as a function of the metal temperature t50v at the measuring point in the second predetermined depth range of the valve cage wall thickness and the metal temperature t95v at the measuring point in the third predetermined depth range of the valve cage wall thickness, which is .For example, Az^ —- the second predetermined depth range may be a depth range of 45% to 50% of the wall thickness of the valve cage, and the third predetermined depth range may be a depth range of 85% to 95% of the wall thickness of the valve cage. The temperature difference ratio RAtv of the valve cage may be obtained according to the volume average temperature difference A / mv of the valve cage and the thermal stress monitoring parameter crthv of the valve cage, and an elastic modulus E2, a linear expansion coefficient and a Poisson's ratio / r2 of a cor corresponding to the valve cage at operating temperature, using the following formula: = - / y

[0117] In some implementations, the descriptions are made by taking the cylinder as an example as a target component. A volume average temperature difference Atmc of the cylinder is obtained as a function of a metal temperature t5oc at a measurement point in a fourth predetermined depth range of the cylinder wall thickness and a metal temperature t95c at a measurement point in a fifth predetermined depth range of the cylinder wall thickness, which is . For example, the fourth depth range The predetermined depth can be a depth range of 45% to 50% of the cylinder wall thickness, and the fifth predetermined depth range can be a depth range of 85% to 95% of the cylinder wall thickness. The temperature difference ratio RAtc of the cylinder can be obtained according to the volume average temperature difference Atmc of the cylinder and the thermal stress monitoring parameter crthc of the cylinder, and a modulus of elasticity E3, a coefficient of linear expansion „ and a Poisson's ratio u3 of a material corresponding to the cylinder at operating temperature, using the following formula:

[0118] In the next step S403, a temperature difference ratio of the nuclear turbine is determined based on the rotor temperature difference ratio, the valve cage temperature difference ratio, and the cylinder temperature difference ratio.

[0119] The nuclear turbine temperature difference report represents the first temperature monitoring data obtained by performing online thermal monitoring of the rotor, valve cage and cylinder.

[0120] In order to realize accurate monitoring of the nuclear turbine, it is necessary to examine a component whose temperature difference ratio is maximum in the rotor, the valve cage and the cylinder, and to control the nuclear turbine according to the component whose temperature difference ratio is maximum, so as to satisfy the optimization requirements of the nuclear turbine. That is, the maximum temperature difference ratio is selected from the temperature difference ratio RAa of the rotor, the temperature difference ratio R-,,. of the valve cage and the temperature difference ratio RAtc of the cylinder, and the maximum temperature difference ratio is determined as the temperature difference ratio of the nuclear turbine, which represents the first temperature monitoring data.

[0121] Alternatively, the maximum temperature difference ratio RAtm^ can be obtained by the following formula:

[0122] where MAX{...} is an operation that returns a maximum value.

[0123] In the following step S404, the operation and maintenance control of the turbine nuclear is optimized based on the temperature difference ratio of the nuclear turbine.

[0124] In embodiments of the present disclosure, a life monitoring situation of the nuclear turbine is determined based on the temperature difference ratio of the nuclear turbine, namely the first temperature monitoring data, and a corresponding optimization and improvement strategy is generated. The operation and maintenance control of the nuclear turbine is optimized based on the optimization and improvement strategy.

[0125] The smaller the temperature difference ratio of the nuclear turbine, the safer the life monitoring. Therefore, the life monitoring situation of the nuclear turbine can be obtained by comparing the temperature difference ratio of the nuclear turbine with a first predetermined threshold value based on prior knowledge, so as to optimize the operation and maintenance control of the nuclear turbine. Thus, the temperature difference ratio of the nuclear turbine can be further reduced, and the life and safety of the nuclear turbine can be improved.

[0126] If the temperature difference ratio of the nuclear turbine is less than the first predetermined threshold value, the method proceeds to step S405, in which it is determined that the monitoring of the life of the rotor, the valve cage, and the cylinder under the thermal stress caused by the rapid start is qualified.

[0127] Alternatively, in embodiments of the present disclosure, the first predetermined threshold value based on prior knowledge may be taken as 1, i.e., if < 1, it is determined that the monitoring of the life of the nuclear turbine under the thermal stress caused by the rapid start is qualified. Since the temperature difference ratio of the nuclear turbine is determined by the maximum temperature difference ratio in the temperature difference ratio RAa of the rotor, the temperature difference ratio R-,,.of the valve cage and the temperature difference ratio RAtc of the cylinder, the monitoring of the life of the rotor, valve cage and cylinder under the thermal stress caused by the rapid start is qualified, which indicates that the life of the rotor, valve cage and cylinder under the thermal stress caused by the rapid start is under control.

[0128] If the temperature difference ratio of the nuclear turbine is equal to or greater than the first predetermined threshold value, the method proceeds to step S406, in which it is determined that the monitoring of the life of the rotor, the valve cage, and the cylinder under the thermal stress caused by the rapid start is not qualified, and the optimization and improvement strategy is generated.

[0129] After step S406 the method continues with step S407, in which the operation and maintenance control of the nuclear turbine is optimized on the basis of the optimization and improvement strategy, until the temperature difference ratio of the nuclear turbine is less than the first predetermined threshold value.

[0130] Alternatively, the optimization and improvement strategy may comprise reducing a rate of change of the inlet steam temperature of the nuclear turbine. The rate of change of the inlet steam temperature of the nuclear turbine is optimized or adjusted based on the optimization and improvement strategy, and monitoring is performed again until the temperature difference ratio of the nuclear turbine is less than the first predetermined threshold value, and the optimization is completed.

[0131] In a case where 7?Atmax > 1, it is determined that the life monitoring of the nuclear turbine under the thermal stress caused by the rapid start is not qualified, that is, the life monitoring of the rotor, the valve cage and the cylinder under the thermal stress caused by the rapid start is not qualified, which indicates that the start-up process of the nuclear turbine needs to be optimized and improved during an operation phase.Alternatively, in embodiments of the present disclosure, the rate of change of the inlet steam temperature of the nuclear turbine may be reduced to 0.5 to 0.8 times of a current rate of change of the inlet steam temperature of the nuclear turbine, and monitoring of the nuclear turbine may be performed again until the temperature difference ratio of the nuclear turbine is less than the first predetermined threshold value, and optimization is completed.

[0132] In embodiments of the present invention, the thermal stress monitoring parameters of the rotor, the valve cage and the cylinder of the nuclear turbine under rapid start can be obtained. The temperature difference ratio of the rotor, the temperature difference ratio of the valve cage and the temperature difference ratio of the cylinder can be obtained according to the thermal stress monitoring parameters, and then the temperature difference ratio of the nuclear turbine can be determined. The temperature difference ratio of the nuclear turbine can be compared with the first predetermined threshold value to determine whether the life monitoring of the rotor, the valve cage and the cylinder subjected to the thermal stress caused by the rapid start is qualified, so as to realize the optimization of the operation control of the nuclear turbine.The embodiment of the present disclosure can accurately monitor the nuclear turbine life and safety during operation. operation, so as to improve the service life of the nuclear turbine and ensure the long-term safe operation of the nuclear turbine.

[0133] In the embodiment of the present invention, the service life of the nuclear turbine and the safety during operation can be accurately monitored, so as to improve the service life of the nuclear turbine and ensure the long-term safe operation of the nuclear turbine.

[0134] [Fig.5] is a flowchart illustrating an online monitoring method on a rotor, a valve cage and a cylinder applicable to a specific type of nuclear turbine under rapid start according to an embodiment of the present disclosure. As illustrated in [Fig.5], the method comprises the following steps.

[0135] In the initial step S501, the thermal stress monitoring parameters of the rotor, the valve cage and the cylinder under the thermal stress caused by the rapid start are calculated.

[0136] For example, a thermal stress crthr corresponding to a 60-year life for the rotor of the nuclear turbine with a 1200 MW model, a thermal stress crthv corresponding to a 60-year life for the valve cage of the nuclear turbine, a thermal stress crthc corresponding to a 60-year life for the cylinder of the nuclear turbine, a simulation value tmi of a volume-averaged temperature of the rotor during a startup, shutdown, or operation process of the nuclear turbine can be calculated based on the component model database 1, the load database 2, and the material database 3 of the nuclear turbine, by inputting the metal temperature of the measuring point at a depth of 85% to 95% of the wall thickness of the inner cylinder,the metal temperature of the measuring point at a depth of 85% to 95% of the wall thickness of the valve cage and the cylinder, the metal temperature of the measuring point at a depth of 45% to 50% of the wall thickness of the valve cage and the cylinder, and data of the design parameters, three-dimensional mechanical models and mechanical properties of materials of the rotor, valve cage and cylinder of the nuclear turbine, through a method of monitoring the rotor, valve cage and cylinder under excessive thermal stress during rapid start-up, where crthr = 692 MPa, crthv = 458 MPa, crthc = 463 MPa, tmi =100 °C. ,

[0137] In the following step S502, the volume average temperature difference of the nuclear turbine rotor is calculated online.

[0138] For example, an online monitoring value of the inner cylinder metal temperature of the nuclear turbine with the 1200 MW model is t95r = 270 °C, and the volume average temperature difference Atmr of the rotor of the nuclear turbine with the 1200 MW model is calculated online according to the following formula: = 1^ -^| = |100-270| = 170^

[0139] In the above formula, tmi is a simulation value of the volume average temperature of the rotor during the starting process, which is 100°C, and t95r is the metal temperature of the measuring point at the depth of 85% to 95% of the wall thickness of the inner cylinder of the nuclear turbine. For example, the metal temperature of the measuring point at the depth of 95% of the wall thickness of the inner cylinder is 270°C.

[0140] In the next step S503, the volume average temperature difference of the valve cage of the nuclear turbine is calculated online.

[0141] For example, the online monitoring values ​​of the metal temperatures of the inlet valve cage of the nuclear turbine with the 1200 MW model are t95v = 271 °C and t5ov =138 °C, and the volume average temperature difference Atmv of the valve cage of the nuclear turbine with the 1200 MW model is calculated online according to the following formula: = I&&- - %v| = |138 -271] = 133'Ü

[0142] In the above formula, t50v is the metal temperature of the measuring point at the depth of 45% to 50% of the wall thickness of the valve cage, and in this embodiment, the metal temperature of the measuring point at the depth of 50% of the wall thickness of the valve cage is 138°C; t95v is the metal temperature of the measuring point at the depth of 85% to 95% of the wall thickness of the valve cage. For example, the metal temperature of the measuring point at the depth of 95% of the wall thickness of the valve cage is 271°C.

[0143] In the following step S504, the volume average temperature difference of the nuclear turbine cylinder is calculated online.

[0144] For example, the online monitoring values ​​of the metal temperatures of the nuclear turbine cylinder with the 1200 MW model are t95c = 240 °C and t50c = 130 °C, and the volume average temperature difference Atmc of the nuclear turbine cylinder with the 1200 MW model is calculated online according to the following formula: -Aîc| = |130 —240] = îlÇfc

[0145] In the above formula, t50c is the metal temperature of the measuring point at the depth of 45% to 50% of the wall thickness of the cylinder, for example, the metal temperature of the measuring point at the depth of 50% of the wall thickness of the cylinder is 130°C; t95c is the metal temperature of the measuring point at the depth of 85% to 95% of the cylinder wall thickness, for example, the metal temperature of the measuring point at the depth of 95% of the cylinder wall thickness is 240°C.

[0146] In the next step S505, the temperature difference ratio of the rotor of the nuclear turbine is calculated online.

[0147] For example, the temperature difference ratio 7?Atr of the nuclear turbine rotor with the 1200 MW model is calculated according to the following formula:

[0148] D _ _ r70xL9l2xl(Âd2.62x!GA _ n “692x(1-0,303) “U,SM

[0149] In the above formula, At^ is the volume average temperature difference of the rotor, which is 170 °C, Ei is a modulus of elasticity of a material corresponding to the rotor at the operating temperature, which is 1.912 x 105 MPa, $ is a linear expansion coefficient of the material corresponding to the rotor at operating temperature, which is 12.62 x 106 K1, / ii is a Poisson's ratio of the material corresponding to the rotor at operating temperature, which is 0.303, crthr is a thermal stress corresponding to the 60-year service life for the nuclear turbine rotor, which is 692 MPa.

[0150] In the next step S506, the temperature difference ratio of the valve cage of the nuclear turbine is calculated online.

[0151] For example, the temperature difference ratio R-,,. of the valve cage of the nuclear turbine with the 1200 MW model is calculated according to the following formula:

[0152] R: _ 133x1.994xI05xl2.7IxiO6 “458x(1-0.28)

[0153] In the above formula, A / mv is the volume average temperature difference of the valve cage, which is 133 °C, E2 is a modulus of elasticity of a material corresponding to the valve cage at operating temperature, which is 1.994 x 105 MPa, is a coefficient of linear expansion of the material cor corresponding to the valve cage at operating temperature, which is 12.71 x 106 K1, / r2 is a Poisson's ratio of the material corresponding to the valve cage at operating temperature, which is 0.28, crthv is a thermal stress corresponding to the 60-year service life for the nuclear turbine valve cage, which is 458 MPa.

[0154] In the next step S507, the temperature difference ratio of the nuclear turbine cylinder is calculated online.

[0155] For example, the temperature difference ratio RAtc of the turbine cylinder nuclear with the 1200 MW model is calculated according to the following formula:

[0156] „ _ _ iiOxi^xia^D.ooxKr6 _n “ 463x( UW " °*847

[0157] In the above formula, Atmc is the volume average temperature difference of the cylinder, which is 110°C, E3 is a modulus of elasticity of a material corresponding to the cylinder at the operating temperature, which is 1.974 x 105 MPa, is a coefficient of linear expansion of the material corresponding to the cylinder at operating temperature, which is 13.00 x 106 K1, / r3 is a Poisson's ratio of the material corresponding to the cylinder at operating temperature, which is 0.28, othc is a thermal stress corresponding to the 60-year life for the nuclear turbine cylinder, which is 463 MPa.

[0158] In the next step S508, the maximum temperature difference ratio of the nuclear turbine is determined.

[0159] For example, the maximum temperature difference ratio of the nuclear turbine with the 1200 MW model is calculated according to the following formula: 3^ = 3LJ = MAX{0.S554 .022A847} -1.022

[0160] In the next step S509, the operation and maintenance control of the rotor, the valve cage and the cylinder under the thermal stress caused by the rapid start is optimized.

[0161] The service life of the rotor, the valve cage and the cylinder under the thermal stress caused by the rapid start is determined according to the maximum temperature difference ratio, i.e., according to the first temperature monitoring data, and a corresponding optimization and improvement strategy is generated. The operation and maintenance control of the nuclear turbine is optimized based on the optimization and improvement strategy.

[0162] The optimization of the operation and maintenance control may comprise: monitoring the maximum temperature difference ratio of the nuclear turbine; generating the optimization and improvement strategy of the nuclear turbine in response to the temperature difference ratio not meeting the qualified conditions; optimizing the operation and maintenance control of the startup process based on the optimization and improvement strategy; and re-executing steps S501 to S508 until the maximum temperature difference ratio is less than 1.

[0163] For example, the operation and maintenance control of the rotor, valve cage and cylinder of the nuclear turbine with the 1200 MW model under the action of excessive thermal stress during rapid start-up based on the first temperature monitoring data of the nuclear turbine, i.e. the maximum temperature difference ratio.

[0164] If 7?Atmax > 1, the monitoring of the life of the rotor, valve cage and cylinder of the nuclear turbine with the 1200 MW model under the thermal stress caused by the rapid start is not qualified, which indicates that the starting process of the nuclear turbine with the 1200 MW model needs to be optimized and improved during an operation phase, for example, the change rate of the inlet steam temperature of the nuclear turbine with the 1200 MW model can be reduced to 0.6 times of a current change rate, and the blocks S501 to S508 are re-executed, the monitoring results are listed in Table 1.Then, when < 1, the life monitoring of the rotor, valve cage and cylinder of the nuclear turbine with the 1200 MW model under the thermal stress caused by the rapid start is qualified, which indicates that the life of the rotor, valve cage and cylinder under the thermal stress caused by the rapid start is under control and the subsequent monitoring process begins.

[0165] [Table 1] presents the monitoring of the operation of a nuclear turbine under rapid start-up thermal stress step element i-th operation monitoring (i+l)-th operation monitoring S501 a simulation value of the volume average temperature of a rotor tmi = 100 °C tmi = 103 °C S502 a volume average temperature difference of the rotor A / mr = 170 °C Atm= 159 °C S503 a volume average temperature difference of a valve cage A / mv = 133 °C Atmv= 117 °C S504 a volume average temperature difference of a cylinder Atmc = 110 °CA / „, = 102 °C S505 a rotor temperature difference ratio ^Atr = 0.885 R^ü = 0.796 S506 a valve cage temperature difference ratio ÆAtv= 1.022 R^v = 0.877 S507 a cylinder temperature difference ratio R^ = 0.847 R^ = 0.785 S508 a maximum temperature difference ratio of the nuclear turbine ^Atmax = 1.022 R^. = 0.811 S509 life optimization control unqualified life operation monitoring qualified life operation monitoring

[0166] In the embodiment of the present disclosure, the service life of the nuclear turbine and the safety during operation can be accurately monitored, so as to improve the service life of the nuclear turbine and ensure long-term safe operation of the nuclear turbine.

[0167] [Fig.6] is a flowchart illustrating a method for on-line thermal monitoring of the tightness of a flange mating plane of a cylinder of a nuclear turbine according to another embodiment of the present disclosure. As illustrated in [Fig.6], the method comprises the following blocks.

[0168] In the initial step S601, a monitoring temperature limit value for the sealing of the flange mating plane of the nuclear turbine cylinder is obtained.

[0169] A limit value | / J for the external metal temperature of the flange mating plane in a case where steam leakage occurs at a position where the tightness is weakest on the flange mating plane of the nuclear cylinder cylinder can be calculated, on the basis of the component model database 1, the load database 2 and the material database 3 of the nuclear turbine, by inputting the design parameters and three-dimensional mechanical models of the nuclear turbine cylinder, the pressure and thermal load of the cylinder, the prestress load in the bolt and material property data, through a method and routine for monitoring the tightness of the cylinder flange mating plane.

[0170] In the next step S602, an external metal temperature for sealing the flange mating plane of the cylinder is obtained.

[0171] A temperature at a position where the tightness is weakest on the flange association plane of the cylinder is monitored based on the load database of the nuclear turbine, and the online monitoring temperature at the position where the tightness is weakest is determined as an external metal temperature tc.

[0172] In the next step S603, the second temperature monitoring data of the flange association plan is determined based on the monitoring temperature limit value and the external metal temperature.

[0173] It should be noted that an external metal temperature ratio of the flange association plane is determined, as the second temperature monitoring data of the flange association plane, based on the external metal temperature and the monitoring temperature limit value.

[0174] An external metal temperature ratio Rtc of the flange association plane of the nuclear turbine cylinder is calculated according to the following formula:

[0175] In the above formula, tc is the online monitoring temperature at the position where the tightness is the weakest on the flange mating plane of the nuclear turbine cylinder; | / J is the limit value for the external metal temperature on the outer side of the flange mating plane in the case where the steam leak occurs at the position where the tightness is the weakest on the flange mating plane of the nuclear turbine cylinder.

[0176] In the following step S604, the operation and maintenance control of the nuclear turbine is optimized based on the second temperature monitoring data of the sealing of the flange association plane.

[0177] It is determined whether the operation monitoring of the steam leakage of the flange association plane of the cylinder is qualified, and whether the steam leakage occurs at the flange association plane of the cylinder of the nuclear turbine according to the second temperature monitoring data of the sealing of the flange association plane, i.e., the external metal temperature ratio of the flange association plane. In a case where the operation monitoring of the steam leakage of the flange association plane of the cylinder is not qualified, the steam leakage occurs at the flange association plane of the cylinder of the nuclear turbine, the operation and maintenance control of the nuclear turbine is optimized.

[0178] If the external metal temperature ratio is less than a first predetermined threshold value, the method proceeds to step S605, in which it is determined that the operation monitoring of the steam leakage of the flange association plane of the cylinder is qualified.

[0179] The first threshold value is predetermined. If the external metal temperature ratio is less than the first predetermined threshold value, it is determined that the operation monitoring of the steam leakage of the flange association plane of the cylinder is qualified. For example, the first threshold value is set in advance to 1. In a case where Rtc < 1, it is determined that the operation monitoring of the steam leakage of the flange association plane of the nuclear turbine cylinder is qualified, which indicates that there is no steam leak at the flange mating plane of the nuclear turbine cylinder.

[0180] If the external metal temperature ratio is greater than or equal to the first predetermined threshold value, the method proceeds to step S606, in which it is determined that the operation monitoring of the steam leakage of the cylinder flange association plan is not qualified, and the optimization and improvement strategy for the steam leakage of the nuclear turbine is generated.

[0181] In a case where the external metal temperature ratio is greater than or equal to the first predetermined threshold value, it is determined that the operation monitoring of the steam leakage of the cylinder flange association plane is not qualified, and the optimization and improvement strategy for the steam leakage of the nuclear turbine is generated. For example, the first threshold value is set in advance to 1. In a case where Rtc>1, it is determined that the operation monitoring of the steam leakage of the cylinder flange association plane of the nuclear turbine is not qualified, which indicates that the steam leakage occurs at the cylinder flange association plane of the nuclear turbine in the operation phase, and it is necessary to generate the optimization and improvement strategy for the steam leakage of the nuclear turbine.

[0182] The method continues with the next step S607, the operation and maintenance control of the nuclear turbine is optimized according to the optimization and improvement strategy for the steam leak, until the external metal temperature ratio is lower than the first predetermined threshold value, and the optimization is completed.

[0183] A tuning component of the nuclear turbine is obtained based on the optimization and improvement strategy for steam leakage. Operation and maintenance control of the tuning component is optimized on the tuning component based on a tuning parameter of the tuning component in the optimization and improvement strategy for steam leakage. Alternatively, the nuclear turbine may be shut down for maintenance purposes and the prestress load in the bolt may be increased.

[0184] In the present disclosure, the monitoring temperature limit value for the sealing of the flange association plane of the cylinder of the nuclear turbine is obtained and the external metal temperature for the sealing of the flange association plane of the cylinder is obtained. The safety operation monitoring data of the flange association plane according to the monitoring temperature limit value and the external metal temperature, and the operation and maintenance control of the nuclear turbine are optimized according to the safety operation monitoring data of the sealing of the flange association plane. The present disclosure performs the online safety monitoring of the sealing of the flange association plane of the nuclear turbine cylinder, optimizes the control of the nuclear turbine in the unqualified case, so as to achieve long service life and high reliability for the nuclear turbine.

[0185] [Fig.7] is a flowchart illustrating a method for on-line thermal monitoring of the tightness of a flange mating plane of a cylinder applicable to a nuclear turbine according to another embodiment of the present disclosure. As illustrated in [Fig.7], the method comprises the following steps.

[0186] In the initial step S701, the monitoring temperature limit value for the sealing of the cylinder flange association plane is obtained.

[0187] For example, the limit value | / J for the external metal temperature on the outer side of the flange association plane in a case where the steam leakage occurs at the position where the tightness is the weakest on the cylinder flange association plane of the nuclear cylinder with the 1200 MW model can be calculated on the basis of the component model database 1, the load database 2 and the material database 3 of the nuclear turbine, by inputting the design parameters and the three-dimensional mechanical models of the cylinder of the nuclear turbine with the 1200 MW model, the pressure load and the thermal load of the cylinder, the prestress load in the bolt and the material property data, through a method and a routine for monitoring the tightness of the cylinder flange association plane, where | / J = 279 °C.The position with the weakest tightness can be located at an inlet steam portion of a high-pressure double-flow cylinder.

[0188] In the next step S702, the external metal temperature at the position where the tightness is weakest on the flange mating plane is monitored online.

[0189] The online monitoring temperature at the position where the tightness is weakest on the flange association plane of the nuclear turbine cylinder with the 1200 MW model is monitored online based on the load database of the nuclear turbine, and the online monitoring temperature is determined as the external metal temperature tc, where tc = 264°C.

[0190] In the next step S703, the external metal temperature ratio of the flange mating plane of the nuclear turbine cylinder is calculated.

[0191] The external metal temperature ratio Rtc of the flange association plan of the nuclear turbine cylinder with the 1200 MW model is calculated according to the following formula:

[0192] ^ = -^=^0.946

[0193] In the above formula, tc is an online temperature monitoring value of external metal at the position where the tightness is weakest on the flange association plane of the cylinder of the nuclear turbine with the 1200 MW model, which is 264 °C; | / J is the limit value for the external metal temperature of the flange association plane in the case where the steam leak occurs at the position where the tightness is weakest on the flange association plane of the cylinder of the nuclear turbine with the 1200 MW model, which is 279 °C.

[0194] It should be noted that the external metal temperature ratio of the flange association plane is determined, as second temperature monitoring data of the flange association plane, based on the external metal temperature and the monitoring temperature limit value.

[0195] In the next step S704, the operation and maintenance control of the nuclear turbine is optimized to prevent steam leakage from the flange mating plane of the cylinder.

[0196] The optimization control of the steam leakage of the flange association plan is determined on the basis of the second temperature monitoring data of the flange association plan, i.e., on the basis of the external metal temperature ratio of the flange association plan, so as to obtain an optimization and improvement strategy of the steam leakage of the flange association plan, and further optimize the operation and maintenance control of the steam leakage of the flange association plan on the basis of the optimization and improvement strategy.

[0197] The steam leakage of the flange association plan of the nuclear turbine cylinder with the 1200 MW model is optimized and controlled.

[0198] In a case where Rtc < 1, the operation monitoring of the steam leakage of the flange association plane of the nuclear turbine cylinder with the 1200 MW model is qualified, which indicates that there is no steam leakage at the flange association plane of the nuclear turbine cylinder with the 1200 MW model.

[0199] In a case where Rtc > 1, the operation monitoring of the steam leakage of the cylinder flange association plan of the nuclear turbine with the 1200 MW model is not qualified, which indicates that the steam leakage occurs at the cylinder flange association plan of the nuclear turbine with the 1200 MW model, and it is necessary to generate the optimization and improvement strategy for the steam leakage of the nuclear turbine. The adjustment component of the nuclear turbine is obtained according to the optimization and improvement strategy for the steam leakage. The operation and maintenance control of the optimization object is optimized according to the optimization information of the optimization object in the optimization and improvement strategy for the steam leakage. steam.

[0200] In the present disclosure, by means of the online safety monitoring of the sealing of the flange association plane of the nuclear turbine cylinder, the control of the nuclear turbine is optimized in the unqualified case, so as to achieve a long service life and high reliability of the nuclear turbine.

[0201] [Fig.8] is a flowchart illustrating a method for online safety monitoring of shaft vibration of a rotor and bearing system according to another embodiment of the present disclosure. As illustrated in [Fig.8], the method comprises the following steps.

[0202] In the initial step S801, a peak-to-peak value of an online monitoring shaft vibration relative displacement of a rotor journal and an online monitoring vibration speed of a bearing body in a case where the rotor and bearing system of the nuclear turbine is under forced vibration and self-excited vibration action are obtained, both as online monitoring data of the shaft vibration.

[0203] When the rotor and bearing system is subjected to forced vibration and self-excited vibration, some components of the nuclear turbine are damaged, thereby affecting the safety and service life of the nuclear turbine. In embodiments of the present disclosure, the peak-to-peak value of the online monitoring shaft vibration relative displacement of the rotor journal and the online monitoring vibration speed of the bearing housing in the case where the rotor and bearing system of the nuclear turbine is under the action of the forced vibration and the self-excited vibration are obtained, both as online monitoring data of the shaft vibration, which is facilitated for subsequent determination of the operation monitoring data of the shaft vibration.

[0204] The online safety monitoring of shaft vibration is performed on the peak-to-peak value of the online monitoring shaft vibration relative displacement of the rotor journal and the online monitoring vibration speed of the bearing body of the nuclear turbine, based on the component model database 1, the load database 2 and the material database 3 of the nuclear turbine, through a method and a routine for monitoring the shaft vibration of the rotor and bearing system under the forced vibration and the self-excited vibration, by inputting the design parameters and the three-dimensional mechanical models of the rotor and bearing system of the nuclear turbine, the stiffness coefficient and the damping coefficient of the bearing oil film and the material mechanical property data.

[0205] In the next step S802, the shaft vibration operation monitoring data is determined based on the online monitoring data of tree vibration.

[0206] In embodiments of the present disclosure, the shaft vibration operation monitoring data may include a shaft vibration relative displacement ratio and an online monitoring vibration velocity ratio.

[0207] In some implementations, the relative shaft vibration displacement ratio is determined based on the peak-to-peak value of the online monitoring relative shaft vibration displacement of the rotor journal by the following formula:

[0208] where / ?pp, is the relative displacement ratio of shaft vibration of the nuclear turbine, Dp pr is the peak-to-peak value (in pm) of the relative displacement of shaft vibration of online monitoring of the rotor journal of the nuclear turbine, and Ap_pr is a predetermined value. For example, Ap_pr can be taken as 120 pm.

[0209] In some implementations, an alarm value of the online monitoring vibration speed of the bearing body is obtained. The online monitoring vibration speed ratio is determined based on the alarm value and the online monitoring vibration speed of the bearing body by the following formula:

[0210] where Rb is the online monitoring vibration speed ratio of the nuclear turbine, Vb is the online monitoring vibration speed (mm / s) of the bearing body, [Vb] is the alarm value (mm / s) of the online monitoring vibration speed of the bearing body.

[0211] After obtaining the shaft vibration operation monitoring data, the operation and maintenance control of the nuclear turbine can be optimized based on the shaft vibration operation monitoring data. In some implementations, the online monitoring shaft vibration relative displacement of the rotor journal can be optimized and controlled based on the shaft vibration relative displacement ratio. In some implementations, the online monitoring vibration speed of the bearing housing can be optimized and controlled based on the online monitoring vibration speed ratio.

[0212] Alternatively, the safety of the rotor and bearing system of the nuclear turbine can be determined based on the shaft vibration relative displacement ratio and the online monitoring vibration speed ratio. In a case where the safety of the rotor and bearing system does not meet a predetermined condition, the operation and maintenance control of the nuclear turbine can be optimized to improve the service life and safety of the nuclear turbine.

[0213] The operation and maintenance control of the on-line monitoring shaft vibration relative displacement of the rotor journal is optimized according to the shaft vibration relative displacement ratio (step S803).

[0214] The optimization control of the relative displacement of the sur- shaft vibration online monitoring of the rotor journal is determined based on the shaft vibration relative displacement ratio, so as to obtain an optimization and improvement strategy of the shaft vibration relative displacement, and further optimize the operation and maintenance control of the online monitoring shaft vibration relative displacement of the rotor journal based on the optimization and improvement strategy.

[0215] If the shaft vibration relative displacement ratio is less than a second predetermined threshold value, the method proceeds to step S8031 in which it is determined that the operation monitoring of the shaft vibration relative displacement of online monitoring of the rotor journal is qualified.

[0216] If the shaft vibration relative displacement ratio is greater than or equal to the second predetermined threshold value, the method proceeds to step S8032, in which it is determined that the operation monitoring of the shaft vibration relative displacement of online monitoring of the rotor journal is not qualified, and the optimization and improvement strategy of the shaft vibration relative displacement is generated.

[0217] Alternatively, in an embodiment of the present disclosure, the second predetermined threshold value may be taken as 1. That is, in a case where RP pr < 1, the operation monitoring of the online monitoring shaft vibration relative displacement of the rotor journal is qualified, indicating that the online monitoring shaft vibration relative displacement of the rotor journal of the nuclear turbine is under control. In a case where / ?pp, > 1, the operation monitoring of the online monitoring shaft vibration relative displacement of the rotor journal is not qualified, indicating that the rotor and the bearing of the nuclear turbine should be examined and repaired during the operation phase, a cause of the excessive vibrations of the rotor and the bearing should be discovered, and improvements should be made.The operation and maintenance control of the nuclear turbine is optimized, until the shaft vibration relative displacement ratio is less than the second predetermined threshold value, which ends the optimization.

[0218] In the next step S8033, the operation and maintenance control of the relative shaft vibration displacement of the nuclear turbine is optimized based on the optimization and improvement strategy of the relative shaft vibration displacement.

[0219] The operation and maintenance control of the online monitoring vibration speed of the bearing body is optimized according to the online monitoring vibration speed ratio (step S804).

[0220] The optimization control of the body's online monitoring vibration speed of bearing is determined based on the online monitoring vibration speed ratio, so as to obtain an optimization and improvement strategy of the online monitoring vibration speed, and further optimize the operation and maintenance control of the online monitoring vibration speed of the bearing body based on the optimization and improvement strategy.

[0221] If the online monitoring vibration speed ratio is less than a third predetermined threshold value, the method continues with step S8041 in which it is determined that the operation monitoring of the online monitoring vibration speed of the bearing body is qualified.

[0222] If the online monitoring vibration speed ratio is greater than or equal to the third predetermined threshold value, the method proceeds to step S8042 in which it is determined that the operation monitoring of the online monitoring vibration speed of the bearing body is not qualified, and the optimization and improvement strategy of the online monitoring vibration speed of the bearing body is generated.

[0223] Alternatively, in one embodiment of the present disclosure, the third predetermined threshold value may be taken as 1. That is, in a case where Rb < 1, the operation monitoring of the online monitoring vibration speed of the bearing body of the nuclear turbine is qualified, indicating that the online monitoring vibration speed of the bearing body of the nuclear turbine is under control. In a case where Rb > 1, the operation monitoring of the online monitoring vibration speed of the bearing body of the nuclear turbine is not qualified, indicating that the rotor and the bearing of the nuclear turbine should be examined and repaired during the operation phase, a cause of the excessive vibrations of the rotor and the bearing should be discovered, and improvements should be made.The operation and maintenance control of the nuclear turbine is optimized, until the online monitoring vibration speed ratio is lower than the third predetermined threshold value, which ends the optimization.

[0224] In the following step S8043, the operation and maintenance control of the online monitoring vibration speed of the bearing body of the nuclear turbine is optimized on the basis of the optimization and improvement strategy of the online monitoring vibration speed of the bearing body.

[0225] In one embodiment of the present disclosure, the peak-to-peak value of the relative displacement of on-line monitoring shaft vibration of the rotor journal and the on-line monitoring vibration speed of the bearing body in the case where the rotor and bearing system of the nuclear turbine is under the action of forced vibration and self-excited vibration are obtained, both as data of online monitoring of shaft vibration. Then, the online safety monitoring data of shaft vibration is determined, and the operation and maintenance control of the nuclear turbine is optimized. The embodiments of the present disclosure can accurately monitor the safety of shaft vibration of the rotor and bearing system of the nuclear turbine, and optimize the operation and maintenance control of the nuclear power steam turbine, so as to improve the service life, safety and reliability of the nuclear turbine and ensure the long-term safe operation of the nuclear turbine.

[0226] [Fig.9] is a flowchart illustrating a method for online safety monitoring of shaft vibration applicable to a rotor and bearing system according to another embodiment of the present disclosure. As illustrated in [Fig.9], the method comprises the following steps.

[0227] In the initial step S901, the online monitoring value of the shaft vibration of the rotor and bearing system subjected to forced vibration and self-excited vibration is input.

[0228] The online safety monitoring of shaft vibration is performed from the component model database 1, the load database 2 and the material database 3 of the nuclear turbine, by inputting the peak-to-peak value Dp pr =100 pm of the online monitoring shaft vibration relative displacement of the rotor journal and the online monitoring vibration speed Vb = 4 mm / s of the bearing housing of the nuclear turbine with the 1200 MW model, and through an online safety monitoring method and subroutine of the shaft vibration of the rotor and bearing system.

[0229] In the next step S902, the relative displacement ratio of shaft vibration is calculated.

[0230] The relative displacement ratio of shaft vibration Rp p, for the rotor journal of the nuclear turbine with the 1200 MW model is calculated according to the following formula:

[0231] In the above formula, Dp pr is the peak-to-peak value of the relative displacement of on-line monitoring shaft vibration of the rotor journal of the nuclear turbine with the 1200 MW model, which is 100 pm.

[0232] In the next step S903, the online monitoring vibration speed ratio is calculated.

[0233] The online monitoring vibration speed ratio Rb for the bearing body of the nuclear turbine with the 1200 MW model is calculated according to the following formula: F 4 » _ 0 75 5 [K] 5.3

[0234]

[0235]

[0236]

[0237]

[0238]

[0239]

[0240]

[0241]

[0242] In the above formula, Vb is the online monitoring vibration speed of the bearing housing, Vb = 4mm / s, [Vb] is an alarm value of the online monitoring vibration speed of the bearing housing (mm / s), for a half-speed nuclear turbine with nQ = 1500 rpm and 1800 rpm, [Vb] = 5.3 mm / s, and for a full-speed nuclear turbine with nQ = 3000 rpm and 3600 rpm, [Vb] = 7.5 mm / s. It should be noted that the operation monitoring data of online monitoring shaft vibration include the shaft vibration relative displacement ratio and the online monitoring vibration speed ratio. In the next step S904, the optimization control of the relative displacement of online monitoring shaft vibration of the rotor journal is performed. The optimization control of the online monitoring shaft vibration relative displacement of the rotor journal is determined based on the shaft vibration relative displacement ratio, so as to obtain an optimization and improvement strategy of the shaft vibration relative displacement. The online monitoring shaft vibration relative displacement of rotor journal of nuclear turbine with 1200 MW model is optimized and controlled through the shaft vibration relative displacement optimization and improvement strategy. If / ?pp, < 1, the operation monitoring of the online monitoring shaft vibration relative displacement of the rotor journal of the nuclear turbine with the 1200 MW model is qualified, which indicates that the online monitoring shaft vibration relative displacement of the rotor journal of the nuclear turbine is under control and the method proceeds to step S905. In step S905, the optimization control of the online monitoring vibration speed of the bearing body is performed. The optimization control of the online monitoring vibration speed of the bearing body is determined based on the online monitoring vibration speed ratio, so as to obtain an optimization and improvement strategy of the online monitoring vibration speed. The online monitoring vibration speed of the bearing body of the nuclear turbine with the 1200 MW model is optimized and controlled through the optimization and improvement strategy of the online monitoring vibration speed of the bearing body.

[0243] If Rb < 1, the operation monitoring of the online monitoring vibration speed of the bearing body of the nuclear turbine with the 1200 MW model is qualified, which indicates that the online monitoring vibration speed of the bearing body of the nuclear turbine is under control. Then, the online safety monitoring of the shaft vibration is completed.

[0244] If Rb 4 1, the operation monitoring of the online monitoring vibration speed of the bearing body of the nuclear turbine is not qualified, which indicates that the rotor and the bearing of the nuclear turbine should be examined and repaired during the operation phase, a cause of the excessive vibration of the rotor and the bearing should be discovered and improvements should be made. Steps S901 to S905 are re-executed until Rb < 1.

[0245] The embodiments of the present disclosure can accurately monitor the safety of the shaft vibration of the rotor and bearing system of the nuclear turbine, and optimize the operation and maintenance control of the nuclear turbine, so as to improve the service life and operation reliability of the nuclear turbine and ensure the long-term safe operation of the nuclear turbine.

[0246] Based on the above embodiments, a monitoring report of the nuclear turbine may also be printed or output. The monitoring report may include monitoring data of multiple dimensions under each objective of the nuclear turbine and the corresponding optimization and improvement strategies. Alternatively, the monitoring report may further include information such as optimization results of the nuclear turbine.

[0247] Based on the same concept, embodiments of the present disclosure also relate to a multi-objective and multi-dimensional online joint monitoring system for a nuclear turbine. [Fig. 10] is a block diagram illustrating a multi-objective and multi-dimensional online joint monitoring system for a nuclear turbine according to one embodiment of the present disclosure. As illustrated in [Fig. 10], the system 100 may comprise a first monitoring module 11, a second monitoring module 12, a third monitoring module 13 and an optimization module 14.

[0248] The first monitoring module 11 is configured to obtain first temperature monitoring data of the nuclear turbine by performing online thermal monitoring of a rotor, a valve cage and a cylinder of the nuclear turbine under rapid start.

[0249] The second monitoring module 12 is configured to obtain second sealing temperature monitoring data of a flange mating plane of the nuclear turbine cylinder by performing online thermal monitoring of the tightness of the flange association plan.

[0250] The third monitoring module 13 is configured to obtain operational monitoring data of a shaft vibration of a rotor and bearing system of the nuclear turbine by performing online safety monitoring of the shaft vibration of the rotor and bearing system.

[0251] The optimization module 14 is configured to optimize the operation and maintenance control of the nuclear turbine based on at least one type of monitoring data among the first temperature monitoring data, the second temperature monitoring data and the operation monitoring data.

[0252] In some embodiments, the first monitoring module 11 is configured to: - obtain thermal stress monitoring parameters of the rotor, valve cage and cylinder of the nuclear turbine under rapid start for multiple operating conditions; - obtaining a rotor temperature difference ratio, a valve cage temperature difference ratio and a cylinder temperature difference ratio based on the thermal stress monitoring parameters; and - determining a nuclear turbine temperature difference ratio as first temperature monitoring data based on the rotor temperature difference ratio, the valve cage temperature difference ratio and the cylinder temperature difference ratio.

[0253] In some embodiments, the first monitoring module 11 is configured to: - obtaining a volume average temperature difference and a thermal stress monitoring parameter of the target component, the target component being one of the rotor, the valve cage and the cylinder; - obtaining material attribute data of a material corresponding to the target component at an operating temperature; and - determine the temperature difference ratio of the target component based on the volume average temperature difference, material attribute data and thermal stress monitoring parameter of the target component.

[0254] In some embodiments, the first monitoring module 11 is configured to: - select a maximum temperature difference ratio from the ratio rotor temperature difference ratio, valve cage temperature difference ratio and cylinder temperature difference ratio, and determine the maximum temperature difference ratio as the nuclear turbine temperature difference ratio.

[0255] In some embodiments, the second monitoring module 12 is configured to: - obtain a monitoring temperature limit value for the sealing of the flange association plane of the nuclear turbine cylinder; - obtain an external metal temperature for sealing the cylinder flange mating plane; and - determine the second temperature monitoring data of the flange association plan based on the monitoring temperature limit value and the external metal temperature.

[0256] In some embodiments, the second monitoring module 12 is configured to: - determining an external metal temperature ratio of the flange association plane as second temperature monitoring data based on the external metal temperature and the monitoring temperature limit value.

[0257] In some embodiments, the third monitoring module 13 is configured to: - obtaining a peak-to-peak value of an online monitoring shaft vibration relative displacement of a rotor journal and an online monitoring vibration speed of a bearing body in a case where the rotor and bearing system of the nuclear turbine is under an action of forced vibration and self-excited vibration, both as online monitoring data of shaft vibration; and - determine the shaft vibration operation monitoring data based on the shaft vibration online monitoring data.

[0258] In some embodiments, the third monitoring module 13 is configured to: - determining a relative shaft vibration displacement ratio based on the peak-to-peak value of the relative shaft vibration displacement of the rotor journal online monitoring; - determining an online monitoring vibration speed ratio as a function of the online monitoring vibration speed of the bearing body; - determine the relative shaft vibration displacement ratio and the ratio

[0259]

[0260]

[0261]

[0262]

[0263] online monitoring vibration speed as shaft vibration operation monitoring data. In some embodiments, the optimization module 14 is configured to: - obtain respective monitoring qualification conditions for the first temperature monitoring data, the second temperature monitoring data and the operation monitoring data; - performing an abnormal determination on each of the first temperature monitoring data, the second temperature monitoring data and the operation monitoring data based on the corresponding monitoring qualification conditions, to determine abnormal monitoring data that does not meet the monitoring qualification condition; - generating a set of nuclear turbine optimization strategies based on the abnormal monitoring data that do not meet the monitoring qualification condition, the set of optimization strategies comprising at least one optimization and improvement strategy; - optimize the operation and maintenance control of the nuclear turbine based on the set of optimization strategies. In some embodiments, the optimization module 14 is configured to: - obtain an optimization object of the nuclear turbine based on the set of optimization strategies; - optimize the optimization object based on optimization information of the optimization object in the optimization strategy set. In some embodiments, the optimization module 14 is configured to: - continue monitoring abnormal monitoring data that does not meet the respective monitoring qualification conditions; - in response to the monitoring data obtained again still not meeting the monitoring qualification condition, update the optimization and improvement strategy, and continue the optimization of the optimization object on the basis of the updated optimization and improvement strategy. In embodiments of the present disclosure, multi-objective and multi-dimensional online monitoring is performed for the nuclear turbine, so as to optimize the service life, safety and reliability of the nuclear turbine and ensure the long-term, high-safety and high-reliability operation of the nuclear turbine. Based on the same concept, embodiments of the present disclosure also relate to an electronic device.

[0264] [Fig. 11] is a block diagram illustrating an electronic device according to one embodiment of the present disclosure. As illustrated in [Fig. 11], the electronic device 200 comprises a memory 21, a processor 22 and a computer program product (not shown) stored on the memory 21 and executable by the processor 22. When the computer program is executed by the processor, the method for multi-objective and multi-dimensional online joint monitoring of the nuclear turbine provided by the above embodiments is implemented.

[0265] Based on the same concept, embodiments of the present disclosure also provide a non-transitory computer-readable storage medium having computer instructions stored thereon. The computer instructions are configured to cause a computer to execute the method for multi-objective and multi-dimensional online joint monitoring of the nuclear turbine according to any of the above embodiments.

[0266] Based on the same concept, embodiments of the present disclosure also provide a computer program product having a computer program. The multi-objective and multi-dimensional online joint monitoring method of the nuclear turbine according to any of the above embodiments is implemented when the computer program is executed by a processor.

[0267] Those skilled in the art should understand that embodiments of the present disclosure may be provided in the form of methods, systems, or computer program products. Accordingly, the present disclosure may take the form of a complete hardware embodiment, a complete software embodiment, or a combination of software and hardware. Further, the present disclosure may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk memory, CD-ROM, optical memory, etc.) containing computer-usable program codes.

[0268] The present disclosure is described with reference to the flowchart and / or block diagram of the methods, devices (systems) and computer program products according to embodiments of the present disclosure. It should be understood that each method and / or step in the flowchart and / or block diagram and the combination of method and / or steps in the flowchart and / or block diagram may be carried out by computer program instructions. These computer program instructions may be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor or other programmable data processing equipment for generating a machine, for the instructions to be executed by the processor of the computer or other programmable data processing devices to generate a device for performing functions specified in one or more processes of the flowchart and / or one or more blocks of the functional diagram.

[0269] These computer program instructions may also be stored in a computer-readable memory that may direct the computer or other programmable data processing devices to operate in a specific manner, causing the instructions stored in the computer-readable memory to generate a manufactured product comprising an instruction device. The instruction device performs the functions specified in one or more methods of the flowchart and / or one or more blocks of the functional diagram.

[0270] These computer program instructions may also be loaded onto a computer or other programmable data processing device such that a series of operational steps are executed on the computer or other programmable device to generate a computer-implemented process. Accordingly, instructions executed on the computer or other programmable device provide steps for implementing the functions specified in one or more methods of the flowchart and / or one or more blocks of the functional diagram.

[0271] Based on the same concept, embodiments of the present disclosure also provide a computer-readable storage medium having computer instructions stored thereon. The computer instructions are configured to cause a computer to execute an online safety monitoring method for shaft vibration of the rotor and bearing system according to any of the above embodiments.

[0272] Based on the same concept, embodiments of the present disclosure also provide a computer program product having a computer program. An online safety monitoring method for shaft vibration of the rotor and bearing system according to any of the above embodiments is implemented when the computer program is executed by a processor.

[0273] It should be noted that in the claims, any reference symbol in parentheses should not be interpreted as a limitation of the claims. The word "include" does not exclude the existence of components or steps not listed in the claims. The present disclosure may be carried out by means of hardware comprising several different components and by means of a properly programmed computer. In unitary claims listing several devices, several of these devices may be embodied by the same piece of hardware. The use of the words "first", "second" and "third" does not indicate any order. These words can be interpreted as names.

[0274] In addition, terms such as "first" and "second" are used herein for descriptive purposes and are not intended to indicate or imply relative importance or significance or to imply the number of technical features indicated. Thus, the feature defined by "first" and "second" may include one or more of that feature. In the description of the present invention, "a plurality of" means two or more, unless otherwise indicated.

[0275] Although preferred embodiments of the present disclosure have been described, those skilled in the art may make additional changes and modifications to these embodiments once the basic inventive concept is known. Accordingly, the appended claims are intended to be construed as including the preferred embodiments and all changes and modifications within the scope of the present disclosure.

[0276] Of course, one skilled in the art may variously change and modify the present invention without departing from the spirit and scope of the present disclosure. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present disclosure and its equivalent technology, the present disclosure is also intended to include such modifications and variations.

Claims

Claims

1. A method for multi-objective and multi-dimensional online joint monitoring of a nuclear turbine, comprising: - obtaining (S201) first temperature monitoring data of the nuclear turbine by performing online thermal monitoring of a rotor, a valve cage and a cylinder of the nuclear turbine under rapid start; - obtaining (S202) second sealing temperature monitoring data of a flange mating plane of the nuclear turbine cylinder by performing online thermal monitoring of the sealing of the flange mating plane; - obtaining (S203) operation monitoring data of a shaft vibration of a rotor and bearing system of the nuclear turbine by performing online safety monitoring of the shaft vibration of the rotor and bearing system; and - optimizing (S204) the operation and maintenance control of the nuclear turbine based on at least one type of monitoring data among the first temperature monitoring data, the second temperature monitoring data and the operation monitoring data, obtaining (S201) the first temperature monitoring data of the nuclear turbine by performing the online thermal monitoring of the rotor, the valve cage and the cylinder of the nuclear turbine under rapid start comprising: - obtaining thermal stress monitoring parameters of the rotor, valve cage and cylinder of the nuclear turbine under rapid start for multiple operating conditions; - obtaining a rotor temperature difference ratio, a valve cage temperature difference ratio and a cylinder temperature difference ratio based on the thermal stress monitoring parameters; and - determining a temperature difference ratio of the nuclear turbine, as first temperature monitoring data, based on the rotor temperature difference ratio, the valve cage temperature difference ratio and the cylinder temperature difference ratio.

2. A method according to claim 1, wherein a method for obtaining a temperature difference ratio of a target component of the nuclear turbine comprises: - obtaining a volume average temperature difference and a thermal stress monitoring parameter of the target component, wherein the target component is one of the rotor, the valve cage and the cylinder; - obtaining material attribute data of a material corresponding to the target component at an operating temperature; and - determining the temperature difference ratio of the target component based on the volume average temperature difference, the material attribute data and the thermal stress monitoring parameter of the target component.

3. The method of claim 2, wherein determining the temperature difference ratio of the nuclear turbine as a function of the rotor temperature difference ratio, the valve cage temperature difference ratio, and the cylinder temperature difference ratio comprises: - selecting a maximum temperature difference ratio from among the rotor temperature difference ratio, the valve cage temperature difference ratio, and the cylinder temperature difference ratio; and - determining the maximum temperature difference ratio as the temperature difference ratio of the nuclear turbine.

4. The method according to any one of claims 1 to 3, wherein obtaining (S202) the second temperature monitoring data of the flange mating plane seal of the nuclear turbine cylinder by performing the online thermal monitoring on the flange mating plane seal comprises: - obtaining a monitoring temperature limit value for the flange mating plane seal of the nuclear turbine cylinder; - obtaining an external metal temperature for the flange mating plane seal of the cylinder; and - determining the second temperature monitoring data of the flange mating plane according to the monitoring temperature limit value and the external metal temperature.

5. The method of claim 4, wherein determining the second temperature monitoring data of the association plane of flanges as a function of the monitoring temperature limit value and the external metal temperature comprises: - determining an external metal temperature ratio of the flange association plan as second temperature monitoring data as a function of the external metal temperature and the monitoring temperature limit value.

6. A method according to any one of claims 1 to 5, wherein obtaining (S203) operation monitoring data of a shaft vibration of a rotor and bearing system of the nuclear turbine by performing online safety monitoring of the shaft vibration of the rotor and bearing system comprises: - obtaining a peak-to-peak value of an online monitoring shaft vibration relative displacement of a rotor journal and an online monitoring vibration speed of a bearing body in a case where the rotor and bearing system of the nuclear turbine is under an action of forced vibration and self-excited vibration, both as online monitoring data of the shaft vibration; and - determining the operation monitoring data of the shaft vibration according to the online monitoring data of the shaft vibration.

7. The method of claim 6, wherein determining the shaft vibration operation monitoring data based on the shaft vibration online monitoring data comprises: - determining a shaft vibration relative displacement ratio based on the peak-to-peak value of the online monitoring shaft vibration relative displacement of the rotor journal; - determining an online monitoring vibration speed ratio based on the online monitoring vibration speed of the bearing housing; and - determining the shaft vibration relative displacement ratio and the online monitoring vibration speed ratio as shaft vibration operation monitoring data.

8. A method according to any one of claims 1 to 7, wherein optimizing (S204) the operation and maintenance control of the nuclear turbine based on the at least one type of monitoring data among the first temperature monitoring data,

9.

10. the second temperature monitoring data and the operation monitoring data includes: - obtaining (S304) respective monitoring qualification conditions for the first temperature monitoring data, the second temperature monitoring data and the operation monitoring data; - implementing (S305) an abnormal determination on each of the first temperature monitoring data, the second temperature monitoring data and the operation monitoring data on the basis of the corresponding monitoring qualification condition, to determine abnormal monitoring data which does not satisfy the monitoring qualification condition; - generating (S306) a set of optimization strategies for the nuclear turbine based on the abnormal monitoring data that does not satisfy the monitoring qualification condition, wherein the set of optimization strategies comprises at least one optimization and improvement strategy; and - optimization (S307) of the operation and maintenance control of the nuclear turbine based on the set of optimization strategies. The method of claim 8, wherein optimizing the operation and maintenance control of the nuclear turbine based on the set of optimization strategies comprises: - obtaining a nuclear turbine optimization object based on the set of optimization strategies; and - optimizing the optimization object based on optimization information of the optimization object in the set of optimization strategies. The method of claim 9, after optimizing the optimization object based on the optimization information of the optimization object in the set of optimization strategies, further comprising: - the continuation of the monitoring of abnormal monitoring data that do not meet the monitoring qualification condition; and - in response to the re-obtaining of monitoring data that still do not meet the monitoring qualification condition, the updating of the optimization and improvement strategy, and the continued optimization of the optimization object based on the updated optimization and improvement strategy.

11. A multi-objective and multi-dimensional online joint monitoring system (100) for a nuclear turbine, comprising: - a first monitoring module (11), configured to obtain first temperature monitoring data of the nuclear turbine by performing online thermal monitoring of a rotor, a valve cage and a cylinder of the nuclear turbine under rapid start; - a second monitoring module (12), configured to obtain second sealing temperature monitoring data of a flange association plane of the cylinder of the nuclear turbine by performing online thermal monitoring on the sealing of the flange association plane; - a third monitoring module (13), configured to obtain operational monitoring data of a shaft vibration of a rotor and bearing system of the nuclear turbine by performing online safety monitoring of the shaft vibration of the rotor and bearing system; and - an optimization module (14), configured to optimize an operation and maintenance control of the nuclear turbine according to at least one type of monitoring data among the first temperature monitoring data, the second temperature monitoring data and the operation monitoring data, said first monitoring module (11) being configured to: - obtain thermal stress monitoring parameters of the rotor, the valve cage and the cylinder of the nuclear turbine under rapid start for multiple operating conditions; - obtaining a rotor temperature difference ratio, a valve cage temperature difference ratio and a cylinder temperature difference ratio based on the thermal stress monitoring parameters; and - determining a temperature difference ratio of the nuclear turbine, as first temperature monitoring data, based on the rotor temperature difference ratio, the valve cage temperature difference ratio and the cylinder temperature difference ratio.

12. Electronic device (200), comprising: - at least one processor (22); and - a memory (21) communicatively connected to the at least one processor (22); wherein, the memory (21) stores instructions executable by the at least one processor (22), and when the instructions are executed by the at least one processor (22), the at least one processor (22) is caused to implement a method according to any one of claims 1 to 10.

13. A non-transitory computer-readable storage medium having computer instructions stored thereon, wherein the computer instructions are configured to cause a computer to perform the method of any one of claims 1 to 10.

14. A computer program product having a computer program, wherein a method according to any one of claims 1 to 10 is implemented when the computer program is executed by a processor.

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