Online diagnosis method and system for blow-by of air brake of water-turbine generator set

Abstract

The invention relates to the field of online diagnosis of blow-by of air brakes of water-turbine generator sets, in particular to an online diagnosis method and system for blow-by of air brakes of water-turbine generator sets, and the method comprises the steps: collecting first data of a first object; establishing a first data reference threshold according to the first data in the first state and the second state; identifying abnormal data according to the first data reference threshold value; positioning the first object abnormal part according to the abnormal data; the sensors are arranged in the air brake of the hydro-generator to collect the temperature in real time, comprehensive sensing of the operation state of the hydro-generator is achieved, the reference threshold value range of the normal state is established by analyzing the operation data characteristics of the hydro-generator under the braking and resetting conditions, the scientificity of the threshold value is ensured, and the accuracy of the threshold value is improved. The system compares the temperature collected in real time with a reference threshold value, rapidly detects and marks abnormal data, and can accurately position abnormal parts by combining the abnormal data with the positions of specific parts.

Description

Technical Field

[0001] The invention relates to the field of online diagnosis of air blowby of a wind brake of a hydro-turbine generator set, and in particular to an online diagnosis method and system for air blowby of a wind brake of a hydro-turbine generator set. Background Art

[0002] The wind gate of a hydro-turbine generator is an important device to ensure the normal shutdown of the generator. It is mainly installed at the bottom of the generator rotor, and its interior is composed of a return chamber (upper chamber) and a brake chamber (lower chamber). The core function of the wind gate is to inflate the brake chamber, lift the wind gate, and apply a braking torque to the generator rotor, thereby achieving a smooth shutdown of the unit. However, the existing technology has many deficiencies in the monitoring and maintenance of the wind gate. When gas blowby occurs in the wind gate cavity, gas leaks from the brake chamber or the return chamber, which will not only cause the air compressor to start and run frequently, increase equipment load and energy consumption, but also may prolong the shutdown time due to insufficient braking torque, and even cause an inertial shutdown event in severe cases, endangering the safe operation of the generator set.

[0003] At present, the common method to determine whether there is air leakage in the air brake cavity is to rely on the operation curve of the air compressor. However, this method has significant limitations. First, the air compressor operation curve can only provide macroscopic state change information, and cannot specifically indicate the position of the air brake where the air leakage occurs, thereby increasing the complexity of troubleshooting. Secondly, this method relies heavily on manual operation, and usually requires manual on-site inspection of the air brakes one by one after the generator set is shut down. This operation method is not only time-consuming and labor-intensive, but also leads to a long equipment downtime, affecting the power generation efficiency. In addition, the existing method cannot perform real-time monitoring when the generator set is running, and cannot warn of potential problems in advance. This passive fault handling mode cannot meet the needs of modern power systems for efficient, safe and intelligent operation. Therefore, how to develop a diagnostic method that can monitor air leakage in the air brake cavity online and realize rapid positioning and accurate detection of faults has become a problem that needs to be solved urgently in the current technical field.

[0004] In response to the above problems, the present invention provides an online diagnosis method for air blowby of the wind gate of a hydro-turbine generator set based on data collection and analysis, which realizes efficient diagnosis of air blowby in the wind gate cavity through real-time monitoring and data analysis. Specifically, the present invention collects temperature data of the wind gate in the braking state and the reset state by installing temperature sensors on the inner walls of the air intake pipe and the exhaust pipe of the wind gate, and establishes a reference threshold range according to the influence characteristics of the air flow on the pipe wall temperature (compressed air expansion heat absorption and pipe wall heat exchange). By comparing the temperature data collected in real time with the reference threshold, the system can quickly identify abnormal data and further locate the specific position of the wind gate with air blowby based on the abnormal data. Compared with the existing manual troubleshooting mode, the present invention can perform online monitoring without shutting down the generator set, which significantly improves the diagnostic efficiency, while reducing the dependence on manual operation and effectively reducing maintenance costs. Summary of the invention

[0005] In view of the above problems existing in the prior art, the present invention is proposed.

[0006] To solve the above technical problems, the present invention provides the following technical solutions: an online diagnosis method for air blowby of a wind gate of a hydro-turbine generator set, comprising: collecting first data of a first object; establishing a first data reference threshold based on the first data in a first state and a second state; identifying abnormal data based on the first data reference threshold; and locating abnormal components of the first object based on the abnormal data.

[0007] As a preferred solution of the online diagnosis method for air blowby of a wind brake of a hydro-turbine generator set described in the present invention, wherein: the collecting of first data of the first object includes installing a collecting device inside the first object and uploading the collected first data in real time.

[0008] As a preferred solution of the online diagnosis method for air blowby of the wind gate of a hydro-turbine generator set described in the present invention, the first data reference threshold includes respectively calculating the difference between the first data in the first state and the second state, and establishing the first data reference threshold according to the difference.

[0009] As a preferred solution of the online diagnosis method for air blowby of the wind brake of a hydro-turbine generator set described in the present invention, the identification of abnormal data includes classifying the abnormal value of the first data according to the abnormal data judgment strategy if it is detected that the current first data exceeds the baseline threshold.

[0010] As a preferred solution of the online diagnosis method for air blowby of the wind gate of a hydro-turbine generator set described in the present invention, the abnormal data judgment strategy includes: if the first data is a short-term abnormality, it is marked as short-term abnormal data; if the first data is continuously abnormal, it is marked as continuous abnormal data.

[0011] As a preferred solution of the on-line diagnosis method for blowby of the wind brake of a hydro-turbine generator set described in the present invention, wherein: the first object includes a hydro-turbine generator; the first data includes the temperature values ​​of the inner walls of the wind brake air inlet pipe and the wind brake exhaust pipe of the hydro-turbine generator;

[0012] The first state includes the wind brake braking state of the turbine generator;

[0013] The second state includes the wind brake restoration state of the turbine generator.

[0014] As a preferred solution of the on-line diagnosis method for air blowby of a wind gate of a hydro-turbine generator set described in the present invention, wherein: the positioning of the abnormal component of the first object includes, when the abnormal data is short-term abnormal data, checking the temperature sensor and continuously monitoring the temperature value of the inner wall of the wind gate;

[0015] When the abnormal data is continuous abnormal data, if the turbine generator is in the wind brake state, it is judged that there is air leakage in the wind brake chamber, and the leakage location is determined by the temperature difference between the wind brake inlet pipe and the exhaust pipe;

[0016] If the turbine generator is in the wind gate reset state, it is judged that there is gas leakage in the wind gate reset cavity. Combined with the distribution characteristics of the abnormal data, the fault point of the wind gate reset cavity is located.

[0017] As a preferred solution of the method for online diagnosis of air blowby of wind brake of hydro-turbine generator set described in the present invention, wherein: an online diagnosis system for air blowby of wind brake of hydro-turbine generator set comprises: a data acquisition module, a threshold establishment module, an abnormal data identification module and an abnormal location module;

[0018] The data acquisition module acquires first data of the first object;

[0019] The threshold establishing module establishes a first data reference threshold according to the first data in the first state and the second state;

[0020] The abnormal data identification module identifies abnormal data according to the first data reference threshold;

[0021] The abnormality locating module locates the abnormal component of the first object according to the abnormal data.

[0022] A computer device comprises a memory and a processor, wherein the memory stores a computer program, and is characterized in that when the processor executes the computer program, the steps of the above-mentioned online diagnosis method for air blowby of a wind brake of a hydro-turbine generator set are implemented.

[0023] A computer-readable storage medium having a computer program stored thereon, characterized in that when the computer program is executed by a processor, the steps of the above-mentioned online diagnosis method for air blowby of a wind brake of a hydro-turbine generator set are implemented.

[0024] The beneficial effects of the present invention are as follows: by arranging sensors in the wind gate of the hydro-turbine generator and collecting the temperature in its operating state in real time, a comprehensive perception of the operating state of the hydro-turbine generator is achieved.

[0025] By analyzing the operating data characteristics of the hydro-generator under braking and resetting, a benchmark threshold range for the normal state is established. The establishment of the benchmark threshold is based on the statistical analysis of multiple groups of state data, ensuring the scientificity and accuracy of the threshold.

[0026] The system compares the real-time collected temperature with the benchmark threshold, quickly detects and marks abnormal data, quickly identifies possible potential problems, and forms an early warning of failures.

[0027] By combining abnormal data with the specific component location, the system can accurately locate the abnormal component. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0029] Figure 1 A flow chart of an online diagnosis method for air blowby of a wind brake of a hydro-turbine generator set provided by an embodiment of the present invention.

[0030] Figure 2 A schematic diagram of a brake and temperature sensor for an online diagnostic method for air blowby of a wind brake of a hydro-turbine generator set provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0031] In order to make the above-mentioned purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the drawings of the specification. Obviously, the described embodiments are part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary persons in the art without creative work should fall within the scope of protection of the present invention.

[0032] Example 1, reference Figure 1-Figure 2 , is an embodiment of the present invention, which provides an online diagnosis method for air blowby of a water turbine generator set, comprising:

[0033] S1: Collect first data of a first object.

[0034] It should be noted that collecting the first data of the first object includes installing a collecting device inside the first object and uploading the collected first data in real time.

[0035] In the embodiment of the present application, the first object is a hydro-turbine generator, and the first data is the temperature value of the inner wall of the wind brake inlet pipe and the wind brake exhaust pipe of the hydro-turbine generator. When the airflow passes through the pipeline, the compressed air expands and absorbs heat and the heat exchange with the pipe wall causes the pipe wall temperature to drop. Installing the temperature sensor on the inner wall can maximize the capture of these changes and provide direct monitoring data for the blowby problem, such as Figure 1As shown in S1 in the figure, temperature sensors are installed on the inner wall of the air inlet / exhaust pipe of the 1F unit 1-24, and each sensor is connected by a pre-buried cable to transmit the collected temperature data to the centralized data processing device. Shielded wires are used for wiring to avoid electromagnetic interference affecting the data quality. The connection between the sensor and the online monitoring system adopts a modular design, such as Figure 2 As shown, this embodiment uses a traditional contact temperature sensor, which has a mature design and installation process and low cost. The sensor transmits data through pre-buried cables, and the system has high compatibility and is easy to maintain and expand.

[0036] In an optional embodiment, the first data can also be achieved by other methods. Non-contact infrared temperature sensors are arranged on the outer walls of the air inlet and exhaust pipes of the wind brake of the hydro-turbine generator. The internal temperature changes of the pipe wall are inferred by detecting the thermal radiation outside the pipe wall through infrared detection. Through a calibration algorithm, compensation and correction are performed based on the heat transfer relationship between the outer wall temperature and the inner wall temperature to ensure the accuracy of the data.

[0037] In an optional embodiment, the first data can also be achieved by other methods. Fiber grating temperature sensors are installed on the inner wall or around the air inlet and exhaust pipes of the wind brake, and temperature changes are sensed by changes in the reflection wavelength of the optical fiber, thereby achieving high-precision monitoring of the air flow temperature.

[0038] In the embodiment of the present application, the first state includes the braking state of the wind brake of the turbine generator; the second state includes the reset state of the wind brake of the turbine generator. In the first state, when the wind brake of the turbine generator is in the braking state, the generator set receives a shutdown command, the wind brake brake chamber is inflated, the wind brake is lifted up, and a braking torque is applied to the generator rotor, so that the generator stops smoothly under the action of the reverse braking torque. When the generator speed drops to 10% of the rated speed, the control system inflates the wind brake brake chamber to push the wind brake upward. After the compressed air enters the brake chamber, it expands rapidly and exchanges heat with the pipe wall, resulting in The temperature of the pipe wall drops; in the second state, when the wind brake is in the return state, the air in the brake chamber is emptied, the return chamber is inflated, and the wind brake is pushed back to the initial position to prepare for the next operation. When the generator is shut down, the control system switches the air circuit, inflates the return chamber, and exhausts the brake chamber. When the return chamber is inflated, the compressed air expands through the air circuit of the return chamber, absorbs the heat of the pipe wall, and causes the temperature of the inner wall to drop. This embodiment only relies on the temperature sensor to monitor the braking and return states of the wind brake, without the need for complex multi-sensor collaboration, which not only reduces the implementation difficulty but also improves the monitoring accuracy.

[0039] In an optional embodiment, the first state can also be the pressure inflation state of the wind brake. When the wind brake is in the pressure inflation state, the airflow is filled into the brake chamber or the return chamber through the air intake pipe, gradually increasing the air pressure in the chamber, driving the wind brake to move upward or downward, and realizing the braking or return operation. A pressure sensor is installed on the air intake pipe of the wind brake, and the pressure change curve is collected in real time to determine whether the chamber reaches the target pressure as expected. At the same time, combined with the temperature data, it can be identified whether there is leakage during the inflation process; the second state can also be the pressure balance state of the wind brake. When the wind brake is in the pressure balance state, the air pressure in the chamber is maintained at a stable value, and there is no continuous inflation, and there is no obvious leakage or exhaust phenomenon. Pressure and temperature sensors are installed on the air intake and exhaust pipes of the wind brake to monitor whether the air pressure in the chamber remains stable, and analyze the temperature change to verify the sealing.

[0040] In an optional embodiment, the first state can also be the wind brake exhaust state, which means that the high-pressure gas in the brake chamber or the return chamber is quickly released through the exhaust pipe to reduce the pressure in the chamber to complete the state switching. A flow sensor and a temperature sensor are installed on the inner wall of the exhaust pipe to monitor the exhaust speed and temperature changes to determine whether the exhaust process is smooth and whether there is gas residue in the chamber. The second state can also be the wind brake air circuit switching state, which means that the control system switches the intake and exhaust paths and prepares to enter the next state (such as switching from braking to return). Temperature and pressure sensors are installed at key positions of the switching valve to monitor the airflow characteristics and pipeline temperature changes during the switching process to determine whether the switching is smooth and whether the air circuit sealing is good.

[0041] Embodiment 2 is an embodiment of the present invention, which provides an online diagnosis method for air blowby of a wind brake of a hydro-turbine generator set, comprising:

[0042] S2: Establishing a first data reference threshold according to the first data in the first state and the second state.

[0043] It should be noted that the first data reference threshold includes respectively calculating the difference between the first data in the first state and the first data in the second state, and establishing the first data reference threshold according to the difference.

[0044] Furthermore, the temperature sensor data T101, T102, ..., T124, T201, T202, ..., T224 of the wind brakes 1-24 when the braking state is stable are collected; the temperature sensor data T101, T102, ..., T124, T201, T202, ..., T224 of the wind brakes 1-24 when the reset state is stable are collected. The collected temperature data are sorted and summarized, and considering that the ambient temperature is different under different working conditions, the temperature difference between sensor 1 and sensor 2 is calculated to give the normal range ΔT1 of the temperature difference between sensor 1 and sensor 2 in the wind brake braking state, and the normal range ΔT2 of the temperature difference between sensor 1 and sensor 2 in the wind brake reset state.

[0045] During the operation of the hydro-turbine generator set, when the wind gate is in the braking state, the temperature sensor data installed on the inner wall of the intake pipe and the exhaust pipe are collected in real time. These data cover the operation of wind gates 1-24, ensuring comprehensiveness and representativeness. In the reset state of the wind gate, the same temperature sensor data is collected to analyze the airflow characteristics and temperature change trends in the reset state. In order to reduce the interference of different environmental conditions on the data, it is necessary to record the ambient temperature during the collection and correct the data. For example, in the low temperature environment in winter, the temperature difference may be more significant, while in the high temperature environment in summer, the overall temperature change may be small. In the braking state and the reset state, the temperature difference of the intake pipe and the exhaust pipe of each wind gate is calculated respectively. For example, in the braking state, the difference between the intake pipe temperature and the exhaust pipe temperature is calculated, and the corresponding temperature difference is also calculated in the reset state. Through these data, the temperature difference characteristics of each wind gate in the two states can be extracted, the collected temperature difference data can be sorted, the temperature difference data of all wind gates can be statistically analyzed, and the overall change law can be analyzed. By calculating a set of normal ranges, that is, when the temperature difference data is within this range, it means that the damper is operating normally; when the data deviates from this range, there may be an abnormality. For example, the normal range in the braking state (ΔT1) and the normal range in the return state (ΔT2) are summarized based on the historical data of the stable operating state. These ranges will be adjusted as the ambient temperature or operating conditions change.

[0046] S3: Identify abnormal data according to the first data reference threshold.

[0047] It should be noted that identifying abnormal data includes, if it is detected that the current first data exceeds a reference threshold, classifying the abnormal value of the first data according to an abnormal data judgment strategy.

[0048] Furthermore, the abnormal data judgment strategy includes: if the first data is short-term abnormal, it is marked as short-term abnormal data; if the first data is continuously abnormal, it is marked as continuously abnormal data.

[0049] Identifying abnormal data includes monitoring and analyzing the real-time collected temperature and comparing it with the reference threshold range. If the first data is detected to exceed the reference threshold, the abnormal data judgment strategy is activated to classify the abnormal data to clarify the fault characteristics and provide guidance for subsequent maintenance.

[0050] Furthermore, the real-time collected data is compared with the predetermined normal temperature difference range (ΔT1 and ΔT2) of the braking state and the reset state. If the data is within the normal range, it means that the damper is operating normally; if the data is out of the range, it is judged as abnormal data and needs to be further classified and processed.

[0051] Short-term anomaly means that the abnormal data fluctuates only in a short period of time and then returns to the baseline threshold range. It may be caused by short-term interference from the external environment (such as air pressure fluctuations or sudden operations) and does not necessarily mean that there is a fault in the wind brake. If the temperature value exceeds the normal range (ΔT1 or ΔT2) for only a short time, it is marked as short-term abnormal data; when the abnormal data continues to exceed the normal range for a long time, it may reflect that there are structural or functional problems with the wind brake (such as aging of seals or airflow leakage). If the first data always deviates from the baseline threshold range (ΔT1 or ΔT2) for a long time, it is marked as continuous abnormal data.

[0052] S4: Locating the abnormal component of the first object according to the abnormal data.

[0053] It should be noted that locating the abnormal component of the first object includes, when the abnormal data is short-term abnormal data, checking the temperature sensor and continuously monitoring the temperature value of the inner wall of the wind brake.

[0054] When marked as short-term abnormal data, first check the working status of the relevant sensors to confirm whether the abnormal data is caused by unstable sensor performance (such as poor contact, signal interference), detect the continuity of sensor data, eliminate the possibility of signal loss or instantaneous interference, and monitor the changing trend of the inner wall temperature value. If short-term abnormalities occur frequently, record the relevant data to accumulate samples of environmental fluctuations to support the dynamic optimization of subsequent benchmark thresholds.

[0055] When the abnormal data is continuous abnormal data, if the turbine generator is in the wind brake braking state, it is judged that the wind brake brake chamber is blowby, and the leakage position is determined by the temperature difference change of the wind brake intake pipe and exhaust pipe; when in the braking state, the brake chamber is inflated to generate pressure, driving the wind brake to push up and apply braking torque to the generator rotor. If the temperature difference ΔT between the intake pipe and the exhaust pipe continues to exceed the normal range (ΔT1), it indicates that there may be gas leakage in the brake chamber. Combined with the abnormal data, check the sealing of the brake chamber and the connection status of the intake pipe and the exhaust pipe, and determine the leakage position by the temperature difference change: if ΔT is significantly reduced, it may be that the intake pipe leaks and the brake chamber pressure is insufficient; if ΔT fluctuates abnormally, there may be continuous leakage in the exhaust pipe.

[0056] For example, when checking that the braking state of No. 1 wind brake of unit 1F is stable, if the temperature difference ΔT between sensor 1 and sensor 2 is not within the range of ΔT1, it is determined that there is air leakage in the braking chamber of No. 1 wind brake of unit 1F.

[0057] If the turbine generator is in the state of wind gate reset, it is judged that the wind gate reset chamber is blowby. Combined with the distribution characteristics of abnormal data, the fault point of the wind gate reset chamber is located; in the reset state, the reset chamber is inflated to push the wind gate back to the initial position. If the temperature difference ΔT between the intake pipe and the exhaust pipe continues to exceed the normal range (ΔT2), it indicates that there is a gas leak in the reset chamber. Combined with the distribution characteristics of abnormal data, check the seals and gas path connections of the reset chamber, and locate the leakage area according to the temperature difference change characteristics: if ΔT rises abnormally, it may be that the high-pressure gas in the reset chamber leaks to the outside; if ΔT continues to be lower than the normal range, it may be that the reset chamber intake path is blocked or leaking. For example, when the reset state of the No. 1 wind gate of the 1F unit is stable, the temperature difference ΔT between sensor 1 and sensor 2 is not within the range of ΔT2, then it is judged that the No. 1 wind gate reset chamber of the 1F unit is blowby.

[0058] Embodiment 3 is an embodiment of the present invention, which provides an online diagnosis system for air blowby of a water turbine generator set, including: a data acquisition module, a threshold establishment module, an abnormal data identification module and an abnormal location module;

[0059] The data acquisition module acquires first data of the first object;

[0060] The threshold establishing module establishes a first data reference threshold according to the first data in the first state and the second state;

[0061] The abnormal data identification module identifies abnormal data according to the first data reference threshold;

[0062] The abnormality locating module locates the abnormal component of the first object according to the abnormal data.

[0063] This embodiment further provides a computing device, which is applicable to a method for online diagnosis of blowby of a wind gate of a hydro-turbine generator set, and includes:

[0064] A memory and a processor; the memory is used to store computer executable instructions, and the processor is used to execute computer executable instructions to implement an online diagnosis method for air blowby of a wind gate of a hydro-turbine generator set as proposed in the above embodiment.

[0065] This embodiment also provides a storage medium on which a computer program is stored. When the program is executed by a processor, an online diagnosis method for air blowby of a wind brake of a hydro-turbine generator set as proposed in the above embodiment is implemented.

[0066] The storage medium proposed in this embodiment and the online diagnosis method for air leakage from the wind gate of a hydro-turbine generator set proposed in the above embodiment belong to the same inventive concept. The technical details not fully described in this embodiment can be referred to the above embodiment, and this embodiment has the same beneficial effects as the above embodiment.

[0067] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc., which can store program codes.

[0068] Logic and / or steps otherwise described herein, for example, may be considered as an ordered list of executable instructions for implementing logical functions, and may be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (e.g., a computer-based system, a system including a processor, or other system that can fetch instructions from and execute instructions on, an instruction execution system, apparatus, or device). For purposes of this specification, a "computer-readable medium" may be any device that can contain, store, communicate, propagate, or transport a program for use by, or in conjunction with, an instruction execution system, apparatus, or device.

[0069] It should be understood that the various parts of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, a plurality of steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0070] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. An online diagnosis method for air blowby of a turbine generator set, characterized by: include: collecting first data of a first object; Establishing a first data reference threshold according to first data in a first state and a second state; identifying abnormal data according to a first data reference threshold; The abnormal component of the first object is located according to the abnormal data.

2. The method for online diagnosis of blowby of the wind brake of a hydro-generator set according to claim 1, characterized in that: The collecting of the first data of the first object includes installing a collecting device inside the first object and uploading the collected first data in real time.

3. The method for online diagnosis of blowby of the wind brake of a hydro-generator set according to claim 2, characterized in that: The first data reference threshold comprises calculating the difference between the first data in the first state and the first data in the second state respectively, and establishing the first data reference threshold according to the difference.

4. The method for online diagnosis of blowby of the wind brake of a hydro-generator set according to claim 3, characterized in that: The identifying of abnormal data includes, if it is detected that the current first data exceeds a reference threshold, classifying the first data abnormal value according to an abnormal data determination strategy.

5. The method for online diagnosis of blowby of air brake of a hydro-generator set according to claim 4, characterized in that: The abnormal data judgment strategy includes: if the first data is short-term abnormal, it is marked as short-term abnormal data; if the first data is continuously abnormal, it is marked as continuously abnormal data.

6. The method for online diagnosis of blowby of the wind brake of a hydro-generator set according to claim 5, characterized in that: The first object includes a hydro-turbine generator; the first data includes temperature values ​​of inner walls of a wind brake air inlet pipe and a wind brake exhaust pipe of the hydro-turbine generator; The first state includes the wind brake braking state of the turbine generator; The second state includes the wind brake restoration state of the turbine generator.

7. The method for online diagnosis of blowby of wind brake of a hydro-generator set according to claim 6, characterized in that: The positioning of the abnormal component of the first object includes, when the abnormal data is short-term abnormal data, checking the temperature sensor and continuously monitoring the temperature value of the inner wall of the wind gate; When the abnormal data is continuous abnormal data, if the turbine generator is in the wind brake state, it is judged that there is air leakage in the wind brake chamber, and the leakage location is determined by the temperature difference between the wind brake inlet pipe and the exhaust pipe; If the turbine generator is in the wind gate reset state, it is judged that there is gas leakage in the wind gate reset cavity. Combined with the distribution characteristics of the abnormal data, the fault point of the wind gate reset cavity is located.

8. A system based on the method for online diagnosis of blowby of wind brake of a hydro-generator set according to any one of claims 1 to 7, characterized in that: include: Data collection module, threshold establishment module, abnormal data identification module and abnormal location module; The data acquisition module acquires first data of the first object; The threshold establishing module establishes a first data reference threshold according to the first data in the first state and the second state; The abnormal data identification module identifies abnormal data according to the first data reference threshold; The abnormality locating module locates the abnormal component of the first object according to the abnormal data.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of an online diagnosis method for air blowby of a wind brake of a hydro-turbine generator set according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of an online diagnosis method for air blowby of a wind brake of a hydro-turbine generator set according to any one of claims 1 to 7 are implemented.

Images