Intelligent calibration method and system for rotating speed measuring device of water-turbine generator set

Abstract

The invention provides an intelligent calibration method and system for a rotating speed measuring device of a water-turbine generator set, and the system achieves the efficient and accurate calibration of the rotating speed measuring device of the water-turbine generator set through integrating an advanced electrical control technology and an intelligent algorithm. The electrical control system is mainly composed of a data acquisition module, a data processing and analysis module, an intelligent control module, a verification execution module and a result feedback module. According to the full-automatic intelligent verification system and verification method, through integration of an electrical control system and application of an intelligent algorithm, efficient and accurate verification of the rotating speed measuring device of the water-turbine generator set is achieved, the whole process of data acquisition, processing, analysis, control, verification, result feedback and the like can be automatically completed, verification efficiency and accuracy are greatly improved, and the verification cost is reduced. The influence of human factors is reduced, and a powerful guarantee is provided for safe and stable operation of the hydropower station.

Description

Technical Field

[0001] The invention relates to the technical field of hydropower station automation equipment calibration, and in particular to an intelligent calibration method and system for a rotation speed measuring device of a hydro-generator set. Background Art

[0002] The hydro-turbine generator set is an important equipment in the hydropower station, and the measurement of its speed is crucial for the normal operation and maintenance of the equipment. However, the traditional verification method of the speed measurement device of the hydro-turbine generator set mostly relies on manual operation, which is inefficient and easily affected by human factors, resulting in inaccurate verification results. Therefore, the development of a fully automatic intelligent verification system to improve the verification efficiency and accuracy has become an urgent problem to be solved.

[0003] The speed device is a very important equipment in a hydropower plant. The equipment must work stably and reliably to ensure the safe operation of the hydropower plant units. If there is a false alarm or no alarm in the speed, it will affect the startup process of the unit and cause accidents. More seriously, it will cause the unit to shut down, causing huge economic losses to the power plant.

[0004] To ensure that the speed controller can operate stably and reliably, it is particularly important to calibrate the speed controller regularly. The speed controller has two gear disc signals and two PT signal inputs. The traditional domestic calibration of the speed controller uses a signal generator, and can only add PT signal calibration to the speed controller. This method can only calibrate the PT channel, and the gear disc channel cannot be calibrated. If the gear disc channel is not calibrated and causes a unit accident, the consequences will be disastrous.

[0005] It is particularly important to develop a speed calibrator that truly simulates the on-site working conditions of the turbine unit, can automatically simulate the startup and shutdown processes, and can also simulate the speed change processes such as overspeed of the generator set according to the speed change rate set by the user. This is to verify the accuracy and reliability of the mechanical speed measuring device of the generator.

[0006] There is no mature and unified technical research on the speed calibration technology of hydro-turbine generator sets, and there are no mature products of the same type at home and abroad.

[0007] With the continuous improvement of equipment performance and product quality in the power industry, and the continuous improvement of labor productivity, the accuracy of speed calibration devices has been increasingly valued by front-line production personnel. It is very necessary and feasible to develop a speed calibration device for hydro-generator units. The implementation of this project can solve existing problems to the greatest extent, further improve the level of automation, improve work efficiency, and meet the actual work needs on site. Summary of the invention

[0008] In view of the above existing problems, the present invention is proposed.

[0009] Therefore, the present invention provides an intelligent calibration method for a speed measuring device of a hydro-turbine generator set, which can realize efficient and accurate calibration of the speed measuring device of a hydro-turbine generator set by integrating advanced electrical control technology and intelligent algorithms.

[0010] In order to solve the above technical problems, the present invention provides the following technical solutions, a method for intelligent calibration of a speed measuring device of a hydro-turbine generator set, comprising: setting calibration parameters, system self-checking and data acquisition module preheating calibration; collecting turbine speed data according to preset parameters, and processing through analog-to-digital conversion and filtering algorithm; extracting key parameters from the purified data, comparing with preset performance indicators, and judging the performance of the measuring device; according to the analysis results, the intelligent control module calculates the correction coefficient and generates a control strategy to guide the calibration execution module; the calibration execution module simulates the operating conditions for calibration, the system monitors the calibration process, adjusts the calibration parameters and control strategy, and the result feedback module evaluates the calibration data, re-calibrates if it does not meet the standards, and generates a calibration report.

[0011] As a preferred solution of the intelligent calibration method of the speed measuring device of a hydro-generator set described in the present invention, wherein: the setting of calibration parameters includes that the operator sets preliminary calibration parameters, speed range, step length, duration basic indicators on the human-machine interface, and uploads them to the electrical control system, the system self-checks to ensure that all modules and sensors are in good condition, and the data acquisition module starts to preheat and perform baseline correction;

[0012] After the data acquisition module is preheated, perform zero-point calibration to adjust the sensor output to zero in the absence of external signal input; use a known standard signal to calibrate the entire range of the data acquisition module. When the sensor output is greatly affected by temperature, measure the sensor output at different temperatures and apply the correction algorithm. After the calibration is completed, store the correction parameters in the data acquisition module for use in subsequent measurements.

[0013] As a preferred solution of the intelligent calibration method of the speed measuring device of a hydro-generator set described in the present invention, the analog-to-digital conversion and filtering algorithm includes: according to the set speed range and step size, the data acquisition module starts to collect real-time data of the turbine speed, the data is converted into a digital signal through an analog-to-digital converter A / D converter, and the filtering algorithm is used to remove noise and interference signals:

[0014]

[0015] Where G represents Gaussian integral, N(t) is the real-time data of turbine speed, Δt is the time step of data acquisition, F(ω,t) is the Fourier transform filter function, t0, t fare the start and end time of the integration, μ is the mean value of the Gaussian function, σ is the standard deviation of the Gaussian function, i is the imaginary unit, and ω is the angular frequency.

[0016] As a preferred solution of the intelligent calibration method for the speed measuring device of a hydro-generator set described in the present invention, the method of judging the performance of the measuring device includes: applying feature extraction technology to extract key parameters reflecting the performance of the speed measuring device from the purified data, comparing the extracted features with preset performance indicators, judging whether the performance of the measuring device at the current speed meets the requirements, and using wavelet transform to extract features:

[0017]

[0018] Where F(P(t)) is the output of the feature extraction function, P(t) is the output signal at time t, and ψ * (τ) is the complex conjugate of the wavelet function;

[0019] The performance standard is adjusted according to the real-time speed, and the dynamic performance index function is expressed as a sine function:

[0020] g(t)=A0+A1sin(ωt+φ)

[0021] Among them, A0 and A1 represent amplitude parameters, g(t) is the preset performance index, and φ is the phase offset;

[0022] Use mean squared error to calculate the difference between feature parameters and performance metrics:

[0023]

[0024] Where D(t) represents the mean square error between the feature parameter and the performance index, m is the number of data points, and t i is the time of the ith data point, F(P(t i )) and g(t i ) are the characteristic parameters and performance indicators of the i-th data point respectively.

[0025] As a preferred solution of the intelligent calibration method of the speed measuring device of a hydro-generator set described in the present invention, wherein: the calculation of the correction coefficient includes, when the characteristic parameter does not reach the preset standard, the intelligent control module calculates the correction coefficient according to the square root of the parameter difference, and when the difference exceeds 0.1, the correction coefficient is 0.5;

[0026] When the phase deviation of the characteristic parameter exceeds the preset range of ±5 degrees, the intelligent control module calculates the correction coefficient based on the cosine value of the phase deviation. When the deviation exceeds 0.1, the correction coefficient is 0.5;

[0027]

[0028] Wherein, Δφ(t) is the phase deviation of the characteristic parameter, θ(t) is the correction coefficient, and when the values ​​of D(t) and |cos(Δφ(t))| are lower than the preset threshold, the correction coefficient is 0.

[0029] As a preferred solution of the intelligent calibration method for the speed measuring device of a hydro-generator set described in the present invention, the generation control strategy includes: a normal startup fully automatic calibration mode, according to the set startup acceleration cycle time, the rated speed and rated frequency are reached through the inverter speed regulation, and three overspeed startup fully automatic calibration modes, also according to the set startup acceleration cycle time, after the speed percentage of the corresponding overspeed level mode is reached through the inverter speed regulation, the shutdown mode is automatically triggered, and the shutdown deceleration cycle time is realized by the deceleration ramp time set by the inverter;

[0030] When the automatic mode starts the inspection, if the object to be tested is 6 proximity switches, the total number of pulses collected in one minute at different speeds or frequencies is recorded and compared, and the pulse phase difference is compared. According to the allowable deviation number set by the HMI, if it exceeds the set value, the current proximity switch is judged to be unqualified; if the object to be tested is a speed device, the speed and frequency displayed by the speed device are compared with the standard detection value of the gear disc of the PLC after stabilization, and the accuracy is manually compared and recorded at different speeds. The signal output by the speed device through the AO mode is sent to the AI ​​module of the PLC, and the detection value is directly recorded and compared in real time. According to the maximum allowable deviation set by the HMI, it is judged whether the AO output accuracy of the speed device is qualified;

[0031] The speed device outputs the switch signal in DO mode, and the ART module detects the resistance value of the node. The node is judged to be qualified according to the maximum allowable resistance value set by the HMI. The complete cycle of the above detection function needs to increase the speed to all overspeed levels, and then reduce the speed until the machine stops. During the increase and decrease process, after reaching multiple speed levels set by the HMI, it will increase or decrease to the next speed level after the stable delay time set by the HMI. After the inspection is completed, the inspection success and qualified results are output to the HMI;

[0032] The device number of each proximity switch being tested is input through the HMI. The device number of the sensor, the inspector number, the inspection time, the range, the maximum accuracy deviation, the minimum accuracy deviation, the average accuracy deviation, the maximum resolution, the minimum resolution, the average resolution are recorded for each inspection. The speed and frequency are recorded in the set data format respectively. The original value above every 2, 4, 5% of the speed is recorded separately into a database file. Some parameters that are not collected and calculated by the program are input by the HMI.

[0033] As a preferred solution of the intelligent calibration method for the speed measuring device of a hydro-generator set described in the present invention, wherein: the adjustment of the calibration parameters and the control strategy includes: the calibration execution module receives instructions from the intelligent control module, instructs the execution module to operate, and controls the motor speed by simulating different speed conditions, simulating different operating states of the hydro-generator set in the actual working process, adjusting the motor speed, and simulating the speed change of the hydro-generator set under different working conditions, applying physical intervention to the measuring device, and testing the performance under different conditions;

[0034] According to the instructions, the execution module will complete the calibration of each preset speed point one by one, and dynamically adjust the calibration standard according to the historical performance data of the measuring device and industry trends. The monitoring system monitors the motor speed and load conditions in real time and provides real-time feedback to the intelligent control module. At the same time, the monitoring system collects the output data of the measuring device to evaluate the calibration effect.

[0035] If the correction coefficient error exceeds 0.1, the calibration error exceeds 0.01, and the calibration stability exceeds 0.05, it is considered to be substandard. If the calibration data is within the allowable error range, it indicates that the performance of the measuring device meets the standard requirements. If the data exceeds the error range, it is considered that the calibration has failed. If the calibration is successful, the result feedback module will record the calibration results, including measurement data, environmental conditions, and calibration parameters. If any error does not meet the standard, the result feedback module will automatically send a recalibration request to the intelligent control module. The intelligent control module will readjust the calibration parameters and control strategy based on the information provided by the result feedback module, and guide the execution module to perform a new round of calibration until the standard is met.

[0036] Another object of the present invention is to provide an intelligent calibration system for a rotation speed measuring device of a hydro-turbine generator set, which can improve the intelligence level of maintenance work of the hydro-turbine generator set, reduce operating risks, and improve overall operational efficiency.

[0037] As a preferred solution of the intelligent calibration system for the speed measuring device of a hydro-generator set described in the present invention, it includes: a data acquisition module, a data processing and analysis module, an intelligent control module, a calibration execution module, and a result feedback module;

[0038] The data acquisition module is responsible for real-time acquisition of the speed data of the hydro-generator set, obtaining the speed signal through a high-precision sensor, and converting it into a digital signal that can be processed by the electrical control system;

[0039] The data processing and analysis module receives the digital signal from the data acquisition module, processes, filters and analyzes the speed data using advanced signal processing algorithms and data analysis techniques, and extracts key parameters related to the performance of the speed measurement device;

[0040] The intelligent control module uses intelligent algorithms to make decisions and control according to the key parameters provided by the data processing and analysis module, automatically adjusts the calibration parameters according to the preset calibration standards and requirements, and controls the calibration execution module to perform accurate calibration operations;

[0041] The verification execution module executes specific verification operations according to the instructions of the intelligent control module, drives the verification device through the driving mechanism, simulates the working environment under different speed conditions, and performs a comprehensive verification on the speed measurement device of the hydro-generator set;

[0042] The result feedback module is responsible for feeding back the verification results to the intelligent control module, and displaying and recording the verification results. When the verification results do not meet the preset standards, the result feedback module will automatically trigger the intelligent control module to make adjustments, thereby realizing automatic optimization and correction of the verification process.

[0043] 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 processor implements the steps of an intelligent calibration method for a rotation speed measuring device of a hydro-generator set.

[0044] A computer-readable storage medium stores a computer program, wherein the computer program, when executed by a processor, implements the steps of an intelligent calibration method for a rotation speed measuring device of a hydro-turbine generator set.

[0045] Beneficial effects of the invention: The fully automatic intelligent calibration system and calibration method of the invention realizes efficient and accurate calibration of the speed measuring device of the hydro-generator set through the integration of the electrical control system and the application of the intelligent algorithm. The system can automatically complete the whole process of data collection, processing, analysis, control, calibration and result feedback, greatly improving the calibration efficiency and accuracy, reducing the influence of human factors, and providing a strong guarantee for the safe and stable operation of the hydropower station. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work. Among them:

[0047] Figure 1 A schematic flow chart of an intelligent calibration method for a rotation speed measuring device of a hydro-turbine generator set provided in accordance with an embodiment of the present invention.

[0048] Figure 2 The present invention provides a verification main page of an intelligent verification method for a rotation speed measurement device of a hydro-turbine generator set according to an embodiment of the present invention.

[0049] Figure 3 An IO screen of an intelligent calibration method for a speed measuring device of a hydro-turbine generator set provided by an embodiment of the present invention.

[0050] Figure 4 A log screen of an intelligent calibration method for a rotation speed measuring device of a hydro-turbine generator set provided by an embodiment of the present invention.

[0051] Figure 5 An alarm screen of an intelligent calibration method for a rotation speed measuring device of a hydro-turbine generator set provided by an embodiment of the present invention.

[0052] Figure 6 A schematic diagram of working modules of an intelligent calibration system for a rotation speed measuring device of a hydro-generator set provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0053] 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.

[0054] In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention may also be implemented in other ways different from those described herein, and those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0055] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The term "in one embodiment" that appears in different places in this specification does not necessarily refer to the same embodiment, nor does it refer to a separate or selective embodiment that is mutually exclusive with other embodiments.

[0056] The present invention is described in detail with reference to schematic diagrams. When describing the embodiments of the present invention, for the sake of convenience, the cross-sectional diagrams showing the device structure will not be partially enlarged according to the general scale, and the schematic diagrams are only examples, which should not limit the scope of protection of the present invention. In addition, in actual production, the three-dimensional dimensions of length, width and depth should be included.

[0057] At the same time, in the description of the present invention, it should be noted that the directions or positional relationships indicated by the terms "upper, lower, inner and outer" are based on the directions or positional relationships shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific direction, be constructed and operated in a specific direction, and therefore cannot be understood as limiting the present invention. In addition, the terms "first, second or third" are only used for descriptive purposes and cannot be understood as indicating or implying relative importance.

[0058] In the present invention, unless otherwise clearly specified and limited, the terms "install, connect, connect" should be understood in a broad sense, for example: it can be a fixed connection, a detachable connection or an integral connection; it can also be a mechanical connection, an electrical connection or a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0059] Example 1

[0060] Reference Figure 1 , which is the first embodiment of the present invention, provides an intelligent calibration method for a speed measuring device of a hydro-generator set, comprising:

[0061] S1: Set calibration parameters, system self-check and data acquisition module preheating calibration.

[0062] Furthermore, the setting of the calibration parameters includes that the operator sets preliminary calibration parameters, speed range, step length, duration basic indicators on the human-machine interface, and uploads them to the electrical control system, the system self-checks to ensure that all modules and sensors are in good condition, and the data acquisition module starts to warm up and perform baseline correction;

[0063] After the data acquisition module is preheated, perform zero-point calibration to adjust the sensor output to zero in the absence of external signal input; use a known standard signal to calibrate the entire range of the data acquisition module. When the sensor output is greatly affected by temperature, measure the sensor output at different temperatures and apply the correction algorithm. After the calibration is completed, store the correction parameters in the data acquisition module for use in subsequent measurements.

[0064] S2: Collect turbine speed data according to preset parameters and process it through analog-to-digital conversion and filtering algorithms.

[0065] Furthermore, the analog-to-digital conversion and filtering algorithm includes that, according to the set speed range and step size, the data acquisition module starts to collect real-time data of the turbine speed, the data is converted into a digital signal through an analog-to-digital converter A / D converter, and the filtering algorithm is used to remove noise and interference signals:

[0066]

[0067] Where G represents Gaussian integral, N(t) is the real-time data of turbine speed, Δt is the time step of data acquisition, F(ω,t) is the Fourier transform filter function, t0, t f are the start and end time of the integration, μ is the mean value of the Gaussian function, σ is the standard deviation of the Gaussian function, i is the imaginary unit, and ω is the angular frequency.

[0068] S3: Extract key parameters from the purification data, compare them with the preset performance indicators, and judge the performance of the measurement device.

[0069] Furthermore, the determination of the performance of the measuring device includes extracting key parameters reflecting the performance of the speed measuring device from the purified data using feature extraction technology, comparing the extracted features with preset performance indicators, determining whether the performance of the measuring device at the current speed meets the requirements, and using wavelet transform for feature extraction:

[0070]

[0071] Where F(P(t)) is the output of the feature extraction function, P(t) is the output signal at time t, and ψ * (τ) is the complex conjugate of the wavelet function;

[0072] The performance standard is adjusted according to the real-time speed, and the dynamic performance index function is expressed as a sine function:

[0073] g(t)=A0+A1sin(ωt+φ)

[0074] Among them, A0 and A1 represent amplitude parameters, g(t) is the preset performance index, and φ is the phase offset;

[0075] Use mean squared error to calculate the difference between feature parameters and performance metrics:

[0076]

[0077] Where D(t) represents the mean square error between the feature parameter and the performance index, m is the number of data points, and t i is the time of the ith data point, F(P(t i )) and g(t i ) are the characteristic parameters and performance indicators of the i-th data point respectively.

[0078] It should be noted that further performance evaluation can be performed according to the following formula:

[0079]

[0080] When E(t)=0, it means that the output of the measuring device is completely consistent with the performance index and the performance reaches the expected state. The larger E(t) is, the larger the performance error is and the more the performance of the measuring device deviates from the expected standard.

[0081] S4: Based on the analysis results, the intelligent control module calculates the correction coefficient and generates a control strategy to guide the verification execution module.

[0082] Furthermore, the calculation of the correction coefficient includes, when the characteristic parameter does not reach the preset standard, the intelligent control module calculates the correction coefficient according to the square root of the parameter difference, and when the difference exceeds 0.1, the correction coefficient is 0.5;

[0083] When the phase deviation of the characteristic parameter exceeds the preset range of ±5 degrees, the intelligent control module calculates the correction coefficient based on the cosine value of the phase deviation. When the deviation exceeds 0.1, the correction coefficient is 0.5;

[0084]

[0085] Wherein, Δφ(t) is the phase deviation of the characteristic parameter, θ(t) is the correction coefficient, and when the values ​​of D(t) and |cos(Δφ(t))| are lower than the preset threshold, the correction coefficient is 0.

[0086] Furthermore, the generated control strategy includes a normal startup fully automatic test mode, according to the set startup acceleration cycle time, the inverter speed reaches the rated speed and rated frequency, three overspeed startup fully automatic test modes, also according to the set startup acceleration cycle time, after the inverter speed reaches the speed percentage of the corresponding overspeed level mode, the shutdown mode is automatically triggered, and the shutdown deceleration cycle time is realized by the deceleration ramp time set by the inverter;

[0087] When the automatic mode starts the inspection, if the object to be tested is 6 proximity switches, the total number of pulses collected in one minute at different speeds or frequencies is recorded and compared, and the pulse phase difference is compared. According to the allowable deviation number set by the HMI, if it exceeds the set value, the current proximity switch is judged to be unqualified; if the object to be tested is a speed device, the speed and frequency displayed by the speed device are compared with the standard detection value of the gear disc of the PLC after stabilization, and the accuracy is manually compared and recorded at different speeds. The signal output by the speed device through the AO mode is sent to the AI ​​module of the PLC, and the detection value is directly recorded and compared in real time. According to the maximum allowable deviation set by the HMI, it is judged whether the AO output accuracy of the speed device is qualified;

[0088] The speed device outputs the switch signal in DO mode, and the ART module detects the resistance value of the node. The node is judged to be qualified according to the maximum allowable resistance value set by the HMI. The complete cycle of the above detection function needs to increase the speed to all overspeed levels, and then reduce the speed until the machine stops. During the increase and decrease process, after reaching multiple speed levels set by the HMI, it will increase or decrease to the next speed level after the stable delay time set by the HMI. After the inspection is completed, the inspection success and qualified results are output to the HMI;

[0089] The device number of each proximity switch being tested is input through the HMI. The device number of the sensor, the inspector number, the inspection time, the range, the maximum accuracy deviation, the minimum accuracy deviation, the average accuracy deviation, the maximum resolution, the minimum resolution, the average resolution are recorded for each inspection. The speed and frequency are recorded in the set data format respectively. The original value above every 2, 4, 5% of the speed is recorded separately into a database file. Some parameters that are not collected and calculated by the program are input by the HMI.

[0090] S5: The verification execution module simulates the operating conditions for verification. The system monitors the verification process, adjusts the verification parameters and control strategies. The result feedback module evaluates the verification data. If it does not meet the standards, it will be re-verified and a verification report will be generated.

[0091] Furthermore, the adjustment of the verification parameters and control strategy includes that the verification execution module receives instructions from the intelligent control module, instructs the execution module to operate, controls the motor speed by simulating different speed conditions, simulates different operating states of the hydro-generator set in the actual working process, adjusts the motor speed, and the execution module simulates the speed change of the hydro-generator set under different working conditions, applies physical intervention to the measuring device, and tests its performance under different conditions;

[0092] It should be noted that the one-button emergency stop and mechanical protection functions are always valid regardless of the manual inspection operation mode or the automatic inspection operation mode. The one-button emergency stop function directly acts on the inverter. As long as the inverter receives the one-button emergency stop command, it is valid in any case. This applies to the one-button emergency stop command initiated by the inspector when an abnormality is found during the inspection and operation process. For example, the proximity switch position collides or rubs against the gear disc, or there are tools or foreign objects in the gear disc.

[0093] According to the instructions, the execution module will complete the calibration of each preset speed point one by one, and dynamically adjust the calibration standard according to the historical performance data of the measuring device and industry trends. The monitoring system monitors the motor speed and load conditions in real time and provides real-time feedback to the intelligent control module. At the same time, the monitoring system collects the output data of the measuring device to evaluate the calibration effect.

[0094] Calculate the actual correction factor θ mand the theoretical correction factor θ t The difference between:

[0095] E θ =|θ m -θ t |

[0096] Calculate the actual check value ∈ m With the theoretical check value ∈ t The difference between:

[0097] E ∈ =|∈ m -∈ t |

[0098] Calculate the standard deviation of the calibration value at different time points and calculate the stability:

[0099]

[0100] If the correction coefficient error exceeds 0.1, the calibration error exceeds 0.01, and the calibration stability exceeds 0.05, it is considered to be substandard. If the calibration data is within the allowable error range, it indicates that the performance of the measuring device meets the standard requirements. If the data exceeds the error range, it is considered that the calibration has failed. If the calibration is successful, the result feedback module will record the calibration results, including measurement data, environmental conditions, and calibration parameters. If any error does not meet the standard, the result feedback module will automatically send a recalibration request to the intelligent control module. The intelligent control module will readjust the calibration parameters and control strategy based on the information provided by the result feedback module, and guide the execution module to perform a new round of calibration until the standard is met.

[0101] Example 2

[0102] Reference Figure 2 - Figure 5 , with reference to an embodiment of the present invention, an intelligent calibration method for a speed measuring device of a hydro-turbine generator set is provided. In order to verify the beneficial effects of the present invention, scientific demonstration is carried out through experiments.

[0103] Inspection screen: This screen is the main screen, and the bottom design is suitable for the 4 main screen structures except the initial screen, that is, the title task bar, which combines the title bar and the task bar into one, each occupying half of the space. The title bar displays the title and period of the screen, and the task bar is the button for switching between the 4 screens. All parameters and data related to the proximity switch, speed device, etc. in the inspection screen are displayed in an object-oriented structure. If two sensors cannot be displayed in one screen, the inspection screen needs to be divided into two screens. The screen switching is effective in the inspection screen. For each proximity switch parameter, a pop-up window can be clicked in the object structure to set the parameters. Whether the parameter setting is completed and the correctness verification results are indicated in the screen. The startup inspection operation and status lock prompt screen are also designed as pop-up windows. The screen display data mainly shows the items of the sensor analysis result file.

[0104] IO screen: displays the original collected values ​​of the EHC module, AI module, RTD module and inverter. In addition to displaying the collected resistance value, the RTD module also simulates and displays the status of the input DI node.

[0105] Log screen: For inspection operations, in automatic mode, the log table records the equipment number, inspector number, inspection sequence number, inspection start time, end time, inspection pass mark, etc.

[0106] Alarm screen: Design the alarm screen to realize system self-diagnosis fault alarm, sensor disconnection alarm, external fault alarm, parameter setting error alarm, inverter fault alarm, etc.

[0107] Help screen: operation instructions, operation procedures, etc.

[0108] 1. Functional design

[0109] Security function: parameter setting and inspection operations require verification of user login and authority. If the authority is insufficient, the corresponding parameter setting and inspection operation functions will be blocked.

[0110] 2. Meaning of HMI parameter settings

[0111] The meanings of some HMI settings to PLC parameters are shown in the following table:

[0112] Table 1

[0113]

[0114] 1. Working principle of the device

[0115] The working principle of the device is to use the frequency converter to drive the motor to operate. The motor is equipped with a reducer, which drives the gear disc to rotate through the bearing. The number of teeth on the gear disc corresponds to the number of magnetic poles of the generator. In order to improve the frequency measurement accuracy, the generator gear disc on site adopts a 2-speed design, that is, the number of gear disc pulses for one rotation of the unit is 54 or 56. In order to achieve the same hardware frequency measurement accuracy as on site, the fully automatic inspection device changes the speed of the frequency converter to 2 times the speed without increasing the gear disc diameter to achieve the same hardware frequency measurement accuracy as on site. Therefore, the motor is equipped with a 3-speed ratio reducer. The fastest speed of the motor in the power frequency mode is 450RPM, and the corresponding hardware frequency measurement speed is 225 rpm. The maximum overspeed capacity can reach more than 200%, which can also meet the unit's maximum three-level overspeed mode automatic inspection requirements. The collected values ​​of the proximity switch and speed device and the calculated pulse number, frequency, speed, and speed percentage are combined with the set detection parameters to analyze and calculate whether the inspection results of the proximity switch and speed device are qualified.

[0116] 2. Manual operation method

[0117] Before manual inspection, first ensure that the gap between the installed proximity switch and the gear disc is safe, then set the selection switch on the operation panel to the manual position, press the power button to start the inverter, and adjust the operating frequency of the inverter through the speed adjustment potentiometer on the operation panel. The manual mode also requires setting the relevant calculation parameters. The HMI or speed device can display the calculated speed, frequency value, node status, etc. The inspector manually compares the result parameters of the speed device and HMI. When the stop button is pressed, the inverter stops according to the set deceleration ramp.

[0118] 3. Automatic operation method

[0119] Before fully automatic detection, first ensure that the gap between the installed proximity switch and the gear disc is safe, set the selection switch on the operation panel to the automatic position, and after the HMI confirms that the system is in automatic inspection mode, ensure that there is no parameter setting error or system alarm on the HMI, press the normal inspection mode (or first-level overspeed or second-level overspeed or third-level overspeed inspection mode) on the HMI, and the system will automatically start the unit to the target speed according to the inspection mode selected by the user and the acceleration time cycle. If it is a normal inspection mode, you need to press the stop button to start the shutdown process and the shutdown process. If it is any process inspection mode, the system will automatically start the shutdown mode after accelerating to the overspeed threshold according to the set acceleration time cycle. The system automatically records the inspection process data and analyzes and judges the inspection result data according to the set parameter requirements and displays it on the HMI. If a single inspection is completed, before starting the next inspection, you need to press the inspection reset command on the HMI to reset the inspection parameters and reset the inspection status.

[0120] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit the present invention. 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.

[0121] Example 3

[0122] The third embodiment of the present invention is different from the first two embodiments in that:

[0123] 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.

[0124] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in conjunction with such instruction execution systems, devices or apparatuses. For the purposes of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in conjunction with such instruction execution systems, devices or apparatuses.

[0125] More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or more wires (electronic device), a portable computer disk case (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be a paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, deciphering or, if necessary, processing in another suitable manner, and then stored in a computer memory.

[0126] 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.

[0127] Example 4

[0128] Reference Figure 6 , which is an embodiment of the present invention, provides an intelligent calibration system for a speed measuring device of a hydro-generator set, characterized in that it includes a data acquisition module, a data processing and analysis module, an intelligent control module, a calibration execution module, and a result feedback module;

[0129] The data acquisition module is responsible for collecting the speed data of the hydro-generator set in real time, obtaining the speed signal through a high-precision sensor, and converting it into a digital signal that can be processed by the electrical control system.

[0130] The data processing and analysis module receives the digital signal from the data acquisition module, uses advanced signal processing algorithms and data analysis techniques to process, filter and analyze the speed data, and extracts key parameters related to the performance of the speed measurement device.

[0131] The intelligent control module uses intelligent algorithms to make decisions and control based on the key parameters provided by the data processing and analysis module. It automatically adjusts the verification parameters according to the preset verification standards and requirements, and controls the verification execution module to perform precise verification operations.

[0132] The verification execution module performs specific verification operations according to the instructions of the intelligent control module, drives the verification device through the driving mechanism, simulates the working environment under different speed conditions, and conducts a comprehensive verification of the speed measuring device of the hydro-generator set.

[0133] The result feedback module is responsible for feeding back the verification results to the intelligent control module, and displaying and recording the verification results. When the verification results do not meet the preset standards, the result feedback module will automatically trigger the intelligent control module to make adjustments to achieve automatic optimization and correction of the verification process.

[0134] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit the present invention. 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 intelligent calibration method for a speed measuring device of a hydro-generator set, characterized in that: include, Set calibration parameters, system self-check and data acquisition module preheating calibration; Collect turbine speed data according to preset parameters and process it through analog-to-digital conversion and filtering algorithms; Extract key parameters from the purification data and compare them with the preset performance indicators to judge the performance of the measurement device; Based on the analysis results, the intelligent control module calculates the correction coefficient and generates a control strategy to guide the verification execution module; The verification execution module simulates the operating conditions for verification. The system monitors the verification process, adjusts the verification parameters and control strategies. The result feedback module evaluates the verification data, re-calibrates if it does not meet the standards, and generates a verification report.

2. The intelligent calibration method for a speed measuring device of a hydro-generator set according to claim 1, characterized in that: The setting of the calibration parameters includes that the operator sets preliminary calibration parameters on the human-machine interface, basic indicators such as speed range, step length, and duration, and uploads them to the electrical control system, the system self-checks to ensure that all modules and sensors are in good condition, and the data acquisition module starts to warm up and perform baseline correction; After the data acquisition module is preheated, perform zero-point calibration to adjust the sensor output to zero in the absence of external signal input; use a known standard signal to calibrate the entire range of the data acquisition module. When the sensor output is greatly affected by temperature, measure the sensor output at different temperatures and apply the correction algorithm. After the calibration is completed, store the correction parameters in the data acquisition module for use in subsequent measurements.

3. The intelligent calibration method for a speed measuring device of a hydro-generator set according to claim 2, characterized in that: The analog-to-digital conversion and filtering algorithm includes: according to the set speed range and step size, the data acquisition module starts to collect real-time data of the turbine speed, the data is converted into a digital signal through an analog-to-digital converter A / D converter, and the filtering algorithm is used to remove noise and interference signals: Where G represents Gaussian integral, N(t) is the real-time data of turbine speed, Δt is the time step of data acquisition, F(ω,t) is the Fourier transform filter function, t0, t f are the start and end time of the integration, μ is the mean value of the Gaussian function, σ is the standard deviation of the Gaussian function, i is the imaginary unit, and ω is the angular frequency.

4. The intelligent calibration method for a speed measuring device of a hydro-generator set according to claim 3, characterized in that: The determination of the performance of the measuring device includes extracting key parameters reflecting the performance of the speed measuring device from the purified data using feature extraction technology, comparing the extracted features with preset performance indicators, determining whether the performance of the measuring device at the current speed meets the requirements, and using wavelet transform to perform feature extraction: Where F(P(t)) is the output of the feature extraction function, P(t) is the output signal at time t, and ψ * (τ) is the complex conjugate of the wavelet function; The performance standard is adjusted according to the real-time speed, and the dynamic performance index function is expressed as a sine function: g(t)=A0+A1sin(ωt+φ) Among them, A0 and A1 represent amplitude parameters, g(t) is the preset performance index, and φ is the phase offset; Use mean squared error to calculate the difference between feature parameters and performance metrics: Where D(t) represents the mean square error between the feature parameter and the performance index, m is the number of data points, and t i is the time of the ith data point, F(P(t i )) and g(t i ) are the characteristic parameters and performance indicators of the i-th data point respectively.

5. The intelligent calibration method for a speed measuring device of a hydro-generator set according to claim 4, characterized in that: The calculation of the correction coefficient includes that when the characteristic parameter does not reach the preset standard, the intelligent control module calculates the correction coefficient according to the square root of the parameter difference, and when the difference exceeds 0.1, the correction coefficient is 0.5; When the phase deviation of the characteristic parameter exceeds the preset range of ±5 degrees, the intelligent control module calculates the correction coefficient based on the cosine value of the phase deviation. When the deviation exceeds 0.1, the correction coefficient is 0.5; Wherein, Δφ(t) is the phase deviation of the characteristic parameter, θ(t) is the correction coefficient, and when the values ​​of D(t) and |cos(Δφ(t))| are lower than the preset threshold, the correction coefficient is 0.

6. The intelligent calibration method for a speed measuring device of a hydro-generator set according to claim 5, characterized in that: The generated control strategy includes a normal startup fully automatic test mode, according to the set startup acceleration cycle time, the inverter speed reaches the rated speed and rated frequency, three overspeed startup fully automatic test modes, also according to the set startup acceleration cycle time, after the inverter speed reaches the speed percentage of the corresponding overspeed level mode, the shutdown mode is automatically triggered, and the shutdown deceleration cycle time is realized by the deceleration ramp time set by the inverter; When the automatic mode starts the inspection, if the object to be tested is 6 proximity switches, the total number of pulses collected in one minute at different speeds or frequencies is recorded and compared, and the pulse phase difference is compared. According to the allowable deviation number set by the HMI, if it exceeds the set value, the current proximity switch is judged to be unqualified; if the object to be tested is a speed device, the speed and frequency displayed by the speed device are compared with the standard detection value of the gear disc of the PLC after stabilization, and the accuracy is manually compared and recorded at different speeds. The signal output by the speed device through the AO mode is sent to the AI ​​module of the PLC, and the detection value is directly recorded and compared in real time. According to the maximum allowable deviation set by the HMI, it is judged whether the AO output accuracy of the speed device is qualified; The speed device outputs the switch signal in DO mode, and the ART module detects the resistance value of the node. The node is judged to be qualified according to the maximum allowable resistance value set by the HMI. The complete cycle of the above detection function needs to increase the speed to all overspeed levels, and then reduce the speed until the machine stops. During the increase and decrease process, after reaching multiple speed levels set by the HMI, it will increase or decrease to the next speed level after the stable delay time set by the HMI. After the inspection is completed, the inspection success and qualified results are output to the HMI; The device number of each proximity switch being tested is input through the HMI. The device number of the sensor, the inspector number, the inspection time, the range, the maximum accuracy deviation, the minimum accuracy deviation, the average accuracy deviation, the maximum resolution, the minimum resolution, the average resolution are recorded for each inspection. The speed and frequency are recorded in the set data format respectively. The original value above every 2, 4, 5% of the speed is recorded separately into a database file. Some parameters that are not collected and calculated by the program are input by the HMI.

7. The intelligent calibration method for a speed measuring device of a hydro-generator set according to claim 6, characterized in that: The adjustment of the calibration parameters and control strategy includes: the calibration execution module receives instructions from the intelligent control module, instructs the execution module to operate, controls the motor speed by simulating different speed conditions, simulates different operating states of the hydro-generator set in the actual working process, adjusts the motor speed, and the execution module simulates the speed change of the hydro-generator set under different working conditions, applies physical intervention to the measuring device, and tests the performance under different conditions; According to the instructions, the execution module will complete the calibration of each preset speed point one by one, and dynamically adjust the calibration standard according to the historical performance data of the measuring device and industry trends. The monitoring system monitors the motor speed and load conditions in real time and provides real-time feedback to the intelligent control module. At the same time, the monitoring system collects the output data of the measuring device to evaluate the calibration effect. If the correction coefficient error exceeds 0.1, the calibration error exceeds 0.01, and the calibration stability exceeds 0.05, it is considered to be substandard. If the calibration data is within the allowable error range, it indicates that the performance of the measuring device meets the standard requirements. If the data exceeds the error range, it is considered that the calibration has failed. If the calibration is successful, the result feedback module will record the calibration results, including measurement data, environmental conditions, and calibration parameters. If any error does not meet the standard, the result feedback module will automatically send a recalibration request to the intelligent control module. The intelligent control module will readjust the calibration parameters and control strategy based on the information provided by the result feedback module, and guide the execution module to perform a new round of calibration until the standard is met.

8. A system using the intelligent calibration method for a speed measuring device of a hydro-generator set as claimed in any one of claims 1 to 7, characterized in that: It includes data acquisition module, data processing and analysis module, intelligent control module, verification execution module and result feedback module; The data acquisition module is responsible for real-time acquisition of the speed data of the hydro-generator set, obtaining the speed signal through a high-precision sensor, and converting it into a digital signal that can be processed by the electrical control system; The data processing and analysis module receives the digital signal from the data acquisition module, processes, filters and analyzes the speed data using advanced signal processing algorithms and data analysis techniques, and extracts key parameters related to the performance of the speed measurement device; The intelligent control module uses intelligent algorithms to make decisions and control according to the key parameters provided by the data processing and analysis module, automatically adjusts the calibration parameters according to the preset calibration standards and requirements, and controls the calibration execution module to perform accurate calibration operations; The verification execution module executes specific verification operations according to the instructions of the intelligent control module, drives the verification device through the driving mechanism, simulates the working environment under different speed conditions, and performs a comprehensive verification on the speed measurement device of the hydro-generator set; The result feedback module is responsible for feeding back the verification results to the intelligent control module, and displaying and recording the verification results. When the verification results do not meet the preset standards, the result feedback module will automatically trigger the intelligent control module to make adjustments, thereby realizing automatic optimization and correction of the verification process.

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 the method 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 the method according to any one of claims 1 to 7 are implemented.

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