A rotor operation reliability evaluation system for large-capacity doubly-fed generators
By designing a large-capacity doubly-fed generator rotor operation reliability evaluation system, the problem of difficulty in monitoring and evaluating the generator rotor operation reliability in the existing technology is solved, and comprehensive analysis and early warning of the rotor operation status are achieved, thereby improving operation safety. reliability and stability, and improves the level of intelligent management.
Patent Information
- Application Number
- CN202410642761.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-05-23
- Publication Date
- 2025-01-21
- Estimated Expiration
- 2044-05-23
AI Technical Summary
The existing technology is difficult to comprehensively monitor and progressively evaluate the operating reliability status of the rotor of a large-capacity double-feed generator, and it is impossible to reasonably carry out subsequent management planning for the rotor, which is not conducive to ensuring the operational safety of the rotor and has low intelligence.
A large-capacity doubly-fed generator rotor operation reliability evaluation system is designed, including a server, a rotor displacement detection and analysis module, a rotor operation abnormality decision-making module, a bearing hidden danger evaluation module, an operation reliability comprehensive evaluation module and an early warning terminal. Through real-time Monitor rotor displacement and operation abnormality decisions, evaluate bearing hazards, and achieve comprehensive analysis and early warning of rotor operation reliability.
It achieves a comprehensive and accurate analysis of the operational reliability of the large-capacity doubly-fed generator rotor, provides timely feedback and early warning, improves the operational safety and stability of the rotor, and reduces the difficulty of management through the management planning module, improving the level of intelligence.
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Figure CN118584327B_ABST
Abstract
Description
Technical Field
[0001] The invention relates to the technical field of generator rotor operation detection, in particular to a large-capacity double-fed generator rotor operation reliability evaluation system. Background Art
[0002] The rotor and stator of a large-capacity doubly-fed generator have magnetic fields, and the output voltage can be maintained without being affected by the grid voltage by controlling the converter. It has been widely used in the field of renewable energy such as wind power, and has the characteristics of stable output power and reliable operation, and is suitable for wind turbines of different levels.
[0003] Due to the complex structure and changeable operating environment of large-capacity double-fed generators, the stable operation of the generator is easily threatened by abnormal operation of the rotor. At present, it is difficult to comprehensively monitor and progressively evaluate the operating reliability of the generator rotor, and it is impossible to reasonably carry out subsequent management planning for the generator rotor, which is not conducive to ensuring the operating safety of the rotor and has a low degree of intelligence.
[0004] In view of the above technical defects, a solution is now proposed. Summary of the invention
[0005] The purpose of the present invention is to provide a large-capacity doubly-fed generator rotor operation reliability assessment system, which solves the problems that the prior art is difficult to comprehensively monitor and progressively assess the operation reliability of the large-capacity doubly-fed generator rotor, and is unable to reasonably carry out subsequent management planning for the rotor, which is not conducive to ensuring the operation safety of the rotor and has a low degree of intelligence.
[0006] To achieve the above object, the present invention provides the following technical solutions:
[0007] A large-capacity doubly-fed generator rotor operation reliability assessment system comprises a server, a rotor position change detection and analysis module, a rotor operation abnormality decision module, a bearing hidden danger assessment module, an operation reliability comprehensive evaluation module and an early warning terminal; the server obtains a large-capacity doubly-fed generator electronic rotor to be supervised and marks it as a target rotor, the rotor position change detection and analysis module monitors the position of the target rotor in real time, generates a rotor position change normal signal or a rotor position change abnormal signal through analysis, and sends the rotor position change abnormal signal to the operation reliability comprehensive evaluation module via the server, and sends the rotor position change normal signal to the rotor operation abnormality decision module via the server;
[0008] When receiving the rotor position change normal signal, the rotor operation abnormality decision module monitors and analyzes the operation state of the target rotor to evaluate its operation abnormality, and generates an operation abnormality decision qualified signal or an operation abnormality decision unqualified signal, and sends the operation abnormality decision unqualified signal to the operation reliability comprehensive evaluation module via the server, and sends the operation abnormality decision qualified signal to the bearing hidden danger assessment module via the server;
[0009] When the bearing hidden danger assessment module receives the abnormal operation decision qualified signal, it obtains the bearing matching the target rotor and analyzes the bearing hidden danger status of the corresponding bearing, generates a high bearing hidden danger signal or a low bearing hidden danger signal through analysis, and sends the high bearing hidden danger signal to the operation reliability comprehensive evaluation module via the server; when the operation reliability comprehensive evaluation module receives the rotor position abnormality signal, the abnormal operation decision unqualified signal or the bearing high hidden danger signal, the operation reliability risk information is sent to the early warning terminal via the server, and the early warning terminal displays the operation reliability risk information and issues a corresponding early warning.
[0010] Furthermore, the specific operation process of the rotor position change detection and analysis module includes:
[0011] A number of detection points are set on the target rotor, and the real-time distance between the corresponding detection point and the stator to which the large-capacity dual-fed electronic device belongs is collected and marked as the transfer line distance value, and the transfer line distance value is calculated and the absolute value is taken to obtain the transfer line condition value, and the detection point whose transfer line condition value exceeds the preset transfer line condition threshold is marked as a deviation point; the number of deviation points on the target rotor is obtained and marked as the rotor deviation detection value, and the ratio of the transfer line condition value of the corresponding deviation point to the preset transfer line condition threshold is marked as the transfer line occupancy value, and the transfer line occupancy values of all deviation points are averaged to obtain the transfer line measurement value;
[0012] The inclination of the target rotor is collected, and the rotor position table value is obtained by numerically calculating the rotor deviation detection value, the rotation line measurement value and the inclination of the target rotor, and the rotor position table value is numerically compared with the preset rotor position table threshold. If the rotor position table value exceeds the preset rotor position table threshold, a rotor position change abnormal signal is generated; if the rotor position table value does not exceed the preset rotor position table threshold, a rotor position change normal signal is generated.
[0013] Furthermore, the specific operation process of the rotor operation abnormality decision module includes:
[0014] The actual speed of the target rotor is collected, and the deviation value of the real-time speed compared to the currently set standard speed is marked as the speed detection value. The vibration data of the target rotor and the noise data generated are also collected, and the temperature data at several positions on the target rotor are averaged to obtain the rotor temperature detection value. The rotor abnormal condition value is obtained by numerically calculating the speed detection value, the vibration data, the noise data and the rotor temperature detection value. The rotor abnormal condition value is numerically compared with the preset rotor abnormal condition threshold. If the rotor abnormal condition value exceeds the preset rotor abnormal condition threshold, an operation abnormal decision qualified signal is generated. If the rotor abnormal condition value does not exceed the preset rotor abnormal condition threshold, an operation abnormal decision unqualified signal is generated.
[0015] Furthermore, the specific operation process of the bearing hidden danger assessment module includes:
[0016] The oil level data in the corresponding bearing is collected, and the oil level data is numerically compared with the preset oil level data range. If the oil level data is not within the preset oil level data range, a high bearing hidden danger signal is generated; if the oil level data is within the preset oil level data range, the bearing oil inspection value is obtained through bearing oil inspection evaluation and analysis, and the bearing oil inspection value is numerically compared with the preset bearing oil inspection threshold value. If the bearing oil inspection value exceeds the preset bearing oil inspection threshold value, a high bearing hidden danger signal is generated; if the bearing oil inspection value does not exceed the preset bearing oil inspection threshold value, a low bearing hidden danger signal is generated.
[0017] Furthermore, the specific analysis process of bearing oil inspection and evaluation is as follows:
[0018] The impurity data and bubble data in the lubricating oil of the corresponding bearing are collected and marked as the bearing oil impurity value and the bearing oil bubble value, and the temperature data of the lubricating oil in the corresponding bearing is collected, and the temperature data of the lubricating oil is calculated by difference with the median of the preset suitable temperature range and the absolute value is taken to obtain the bearing oil temperature value, and the viscosity data of the lubricating oil in the corresponding bearing is collected, and the viscosity data is calculated by difference with the median of the preset suitable viscosity data range and the absolute value is taken to obtain the bearing oil viscosity value; the bearing oil inspection value is obtained by numerically calculating the bearing oil impurity value, the bearing oil bubble value, the bearing oil temperature value and the bearing oil viscosity value.
[0019] Further, the server is connected in communication with the management timeliness detection module, and the management timeliness detection module collects the time when the early warning terminal receives the corresponding operation reliability risk information and marks it as the reliability risk time value, and collects the time when the treatment measures are taken to eliminate the corresponding risks and marks it as the reliability recovery time value, and marks the interval between the reliability recovery time value and the reliability risk time value as the reliability management time value;
[0020] The reliability management time value is numerically compared with the corresponding preset reliability management time threshold. If the reliability management time value does not exceed the preset reliability management time threshold, it is judged that the processing of the corresponding operation reliability risk information is timely; if the reliability management time value exceeds the preset reliability management time threshold, it is judged that the processing of the corresponding operation reliability risk information is not timely, and the processing timeliness judgment information of the corresponding reliability risk information is sent to the server for storage.
[0021] Furthermore, the server is communicatively connected with the rotor management planning module, which is used to set a planning period, analyze the management risk of the target rotor within the planning period, generate a management danger signal or a management safe signal through the analysis, and send the management danger signal or the management safe signal to the early warning terminal via the server. When the early warning terminal receives the management danger signal, it issues a corresponding early warning.
[0022] Furthermore, the specific analysis process of the rotor management planning module is as follows:
[0023] A number of detection periods are set within the planning cycle, the number of operation reliability information generated for the target rotor in the corresponding detection period is calculated, and the reliability number deviation value is numerically compared with the preset reliability number deviation threshold value. If the reliability number deviation value exceeds the preset reliability number deviation threshold value, the corresponding detection period is marked as a high deviation period; if the reliability number deviation value does not exceed the preset reliability number deviation threshold value, the corresponding detection period is marked as a low deviation period;
[0024] The number of high-deviation time periods within the planning cycle is obtained and marked as high-deviation number detection values, and the reliability number deviation values of all detection periods are summed up to obtain the total reliability deviation value; the number of high-deviation time periods between two adjacent groups of low-deviation time periods is obtained and marked as rotor deviation holding values, the rotor deviation holding values are numerically compared with the preset rotor deviation holding threshold, and the number of rotor deviation holding values exceeding the preset rotor deviation holding threshold is marked as the deviation number detection value; the management planning initial inspection value is obtained by numerically calculating the high-deviation number detection value, the total reliability deviation value and the deviation number detection value, the management planning initial inspection value is numerically compared with the preset management planning initial inspection threshold, and if the management planning initial inspection value exceeds the preset management planning initial inspection threshold, a management danger signal is generated.
[0025] Furthermore, if the initial inspection value of the management plan does not exceed the preset initial inspection threshold of the management plan, the timeliness judgment information of all reliability risk information during the planning period is collected, the number of reliability risk information that is not processed in time is marked as an outlier of the effectiveness number, and the ratio of the reliable management time value of the corresponding reliability risk information to the preset reliability management time threshold is marked as a reliability management table value, and all reliability management table values within the planning period are averaged to obtain a reliability management measurement value, and the management plan comprehensive evaluation value is obtained by numerically calculating the initial inspection value of the management plan, the outlier of the effectiveness number and the reliability management measurement value, and the management plan comprehensive evaluation value is numerically compared with the preset management plan comprehensive evaluation threshold. If the management plan comprehensive evaluation value exceeds the preset management plan comprehensive evaluation threshold, a management risk signal is generated; if the management plan comprehensive evaluation value does not exceed the preset management plan comprehensive evaluation threshold, a management no risk signal is generated.
[0026] Compared with the prior art, the present invention has the following beneficial effects:
[0027] 1. In the present invention, the position of the target rotor is monitored in real time through the rotor position change detection and analysis module. When a normal rotor position change signal is generated, the operating state of the target rotor is monitored and analyzed through the rotor operation abnormality decision module to evaluate its abnormal operation condition. When an abnormal operation decision qualified signal is generated, the bearing hidden danger condition of the corresponding bearing is analyzed through the bearing hidden danger assessment module, so as to realize a comprehensive analysis of the operating reliability of a large-capacity dual-fed electronic rotor and timely feedback and early warning. The analysis is more comprehensive and accurate, which is conducive to ensuring the operating safety and operating stability of a large-capacity dual-fed electronic rotor.
[0028] 2. In the present invention, the management risk of the target rotor within the planning period is analyzed through the rotor management planning module, and a management risk signal or a management no-risk signal is generated through the analysis. When the management risk signal is generated, the early warning terminal sends a corresponding early warning. When the management personnel receive the corresponding early warning, the subsequent operation supervision of the large-capacity double-fed generator rotor is strengthened. According to the operating performance of the large-capacity double-fed generator rotor, a suitable management planning scheme can be reasonably formulated, which reduces the management difficulty of the management personnel and improves the management effect, further ensures the subsequent operation performance of the large-capacity double-fed generator rotor, and has a high degree of intelligence. BRIEF DESCRIPTION OF THE DRAWINGS
[0029] In order to facilitate understanding by those skilled in the art, the present invention is further described below in conjunction with the accompanying drawings;
[0030] Figure 1 This is a system block diagram of Embodiment 1 of the present invention;
[0031] Figure 2 This is a system block diagram of Embodiment 2 and Embodiment 3 of the present invention. DETAILED DESCRIPTION
[0032] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.
[0033] Embodiment 1: Figure 1 As shown, a large-capacity doubly-fed generator rotor operation reliability assessment system proposed by the present invention includes a server, a rotor position change detection and analysis module, a rotor operation abnormality decision module, a bearing hidden danger assessment module, an operation reliability comprehensive evaluation module and an early warning terminal;
[0034] The server obtains the large-capacity dual-fed electronic rotor that needs to be regulated and marks it as the target rotor. The rotor position change detection and analysis module monitors the position of the target rotor in real time, generates a normal rotor position change signal or an abnormal rotor position change signal through analysis, and sends the abnormal rotor position change signal to the operation reliability comprehensive evaluation module via the server, and sends the normal rotor position change signal to the rotor operation abnormality decision module via the server, which can accurately judge the position performance of the target rotor so as to make timely position adjustments, which helps to ensure the correct relative position between the target rotor and the corresponding stator, thereby facilitating the operation stability of the target rotor. The specific operation process of the rotor position change detection and analysis module is as follows:
[0035] A number of detection points are set on the target rotor, and the real-time distance between the corresponding detection point and the stator to which the large-capacity dual-fed electronic device belongs is collected and marked as the transfer line distance value. The transfer line distance value and the corresponding preset transfer line distance value are calculated by difference and the absolute value is taken to obtain the transfer line condition value, wherein the larger the value of the transfer line condition value is, the greater the degree of deviation of the position of the corresponding detection point is, and the detection point whose transfer line condition value exceeds the preset transfer line condition threshold is marked as a deviation point;
[0036] The number of deviation points on the target rotor is obtained and marked as the rotor deviation detection value, and the ratio of the transfer line condition value of the corresponding deviation point to the preset transfer line condition threshold is marked as the transfer line occupation value, the transfer line occupation values of all deviation points are averaged to obtain the transfer line measurement value, and the inclination of the target rotor (i.e., the data value of the inclination degree of the target rotor) is collected;
[0037] The rotor position table value ZQ is obtained by numerically calculating the rotor deviation detection value ZF, the rotation line measurement value ZY and the inclination ZS of the target rotor through the formula ZQ=(a1*ZF+a2*ZY+a3*ZS) / 3, wherein a1, a2, and a3 are preset proportional coefficients, and the values of a1, a2, and a3 are all greater than zero; and the larger the value of the rotor position table value ZQ, the worse the position and attitude performance of the target rotor;
[0038] The rotor position table value ZQ is numerically compared with the preset rotor position table threshold. If the rotor position table value ZQ exceeds the preset rotor position table threshold, it indicates that the position and attitude performance of the target rotor is poor, and a rotor position change abnormal signal is generated; if the rotor position table value ZQ does not exceed the preset rotor position table threshold, it indicates that the position and attitude performance of the target rotor is good, and a rotor position change normal signal is generated.
[0039] When the rotor operation abnormality decision module receives the rotor position change normal signal, it monitors and analyzes the operating state of the target rotor to evaluate its abnormal operation condition, and generates an operation abnormality decision qualified signal or an operation abnormality decision unqualified signal, and sends the operation abnormality decision unqualified signal to the operation reliability comprehensive evaluation module via the server, and sends the operation abnormality decision qualified signal to the bearing hidden danger assessment module via the server. It can reasonably analyze the abnormal operation condition when it is judged that the position and posture of the target rotor are normal, so as to take corresponding control measures in time, which is conducive to ensuring the operation stability and operation safety of the target rotor; the specific operation process of the rotor operation abnormality decision module is as follows:
[0040] The actual speed of the target rotor is collected, and the deviation value of the real-time speed compared with the currently set standard speed is marked as the speed detection value, and the vibration data of the target rotor (i.e., the data value of the sum of the vibration amplitude and the vibration frequency) and the noise data generated (i.e., the noise decibel value) are collected, and the temperature data at several positions on the target rotor are averaged to obtain the rotor temperature detection value;
[0041] By formula The rotation speed detection value YR, the vibration data YW, the noise data YM and the rotor temperature detection value YB are numerically calculated to obtain the rotor abnormality value YP, wherein hy1, hy2, hy3 and hy4 are preset proportional coefficients, and the values of hy1, hy2, hy3 and hy4 are all positive numbers; and the larger the value of the rotor abnormality value YP is, the more abnormal the operation of the target rotor is;
[0042] The rotor abnormal condition value YP is numerically compared with the preset rotor abnormal condition threshold. If the rotor abnormal condition value YP exceeds the preset rotor abnormal condition threshold, it indicates that the operation of the target rotor is relatively normal, and an operation abnormality decision qualified signal is generated. If the rotor abnormal condition value YP does not exceed the preset rotor abnormal condition threshold, it indicates that the operation of the target rotor is relatively abnormal, and an operation abnormality decision unqualified signal is generated.
[0043] When the bearing hidden danger assessment module receives the qualified signal of the abnormal operation decision, it obtains the bearing that matches the target rotor and analyzes the bearing hidden danger status of the corresponding bearing. Through analysis, it generates a high bearing hidden danger signal or a low bearing hidden danger signal, and sends the high bearing hidden danger signal to the operation reliability comprehensive evaluation module through the server. When it is judged that the operation of the target rotor is normal, it can reasonably analyze the risk status of the corresponding bearing, provide information support for judging the operation reliability of the target rotor, and ensure the accuracy and comprehensiveness of the subsequent analysis results; the specific operation process of the bearing hidden danger assessment module includes:
[0044] The oil level data in the corresponding bearing is collected, and the oil level data is numerically compared with the preset oil level data range. If the oil level data is not within the preset oil level data range, a high-risk signal of the bearing is generated; if the oil level data is within the preset oil level data range, the bearing oil inspection value is obtained through bearing oil inspection evaluation and analysis, specifically: the impurity data (mainly referring to the concentration of solid particles) and bubble data (i.e., the data value of the bubble content in the lubricating oil of the corresponding bearing) are collected and marked as the bearing oil impurity value and the bearing oil bubble value;
[0045] and collecting temperature data of the lubricating oil in the corresponding bearing, performing difference calculation between the temperature data of the lubricating oil and the median of a preset suitable temperature range and taking the absolute value to obtain the bearing oil temperature value, and collecting viscosity data of the lubricating oil in the corresponding bearing (i.e., the data value of the viscosity), performing difference calculation between the viscosity data and the median of a preset suitable viscosity data range and taking the absolute value to obtain the bearing oil viscosity value;
[0046] By formula The bearing oil impurity value WY, the bearing oil bubble value WP, the bearing oil temperature value WN and the bearing oil viscosity value WK are numerically calculated to obtain the bearing oil inspection value WF; wherein, rq1, rq2, rq3, and rq4 are preset proportional coefficients, and the values of rq1, rq2, rq3, and rq4 are all positive numbers; and the larger the value of the bearing oil inspection value WF, the greater the bearing lubrication risk, and the less conducive it is to ensure the performance of the corresponding bearing;
[0047] The bearing oil inspection value WF is numerically compared with the preset bearing oil inspection threshold. If the bearing oil inspection value WF exceeds the preset bearing oil inspection threshold, it indicates that the bearing lubrication risk is relatively large, which is not conducive to ensuring the performance of the corresponding bearing, and a high bearing hidden danger signal is generated; if the bearing oil inspection value WF does not exceed the preset bearing oil inspection threshold, it indicates that the bearing lubrication risk is relatively small, and a low bearing hidden danger signal is generated.
[0048] Furthermore, when the operation reliability comprehensive evaluation module receives an abnormal rotor position change signal, an operation abnormality decision failure signal, or a bearing high hidden danger signal, the operation reliability risk information is sent to the early warning terminal via the server. The early warning terminal displays the operation reliability risk information and issues a corresponding early warning, thereby realizing a comprehensive analysis of the operation reliability of the large-capacity doubly-fed electronic rotor and providing timely feedback on the early warning. The analysis is more comprehensive and the operation reliability analysis results are more accurate, which is conducive to the management personnel to quickly make corresponding improvement measures to ensure the operation safety and stability of the large-capacity doubly-fed electronic rotor.
[0049] Embodiment 2: Figure 2As shown, the difference between this embodiment and embodiment 1 is that the server is connected to the management timeliness detection module in communication, the management timeliness detection module collects the time when the early warning terminal receives the corresponding operation reliability risk information and marks it as the reliability risk time value, and collects the time when the processing measures are taken to eliminate the corresponding risk and marks it as the reliability recovery time value, and marks the interval between the reliability recovery time value and the reliability risk time value as the reliability management time value; wherein, the larger the value of the reliability management time value, the lower the processing efficiency for the corresponding reliability risk information and the less timely the processing;
[0050] The reliability management time value is numerically compared with the corresponding preset reliability management time threshold. If the reliability management time value does not exceed the preset reliability management time threshold, it is judged that the processing of the corresponding operation reliability risk information is timely; if the reliability management time value exceeds the preset reliability management time threshold, it is judged that the processing of the corresponding operation reliability risk information is not timely, and the processing timeliness judgment information of the corresponding reliability risk information is sent to the server for storage, which can not only accurately feedback the processing timeliness status of each reliability risk information, facilitate subsequent tracing, but also provide information support for subsequent management planning.
[0051] Embodiment 3: Figure 2 As shown, the difference between this embodiment and embodiment 1 and embodiment 2 is that the server is connected to the rotor management planning module in communication, and the rotor management planning module is used to set a planning period, preferably, the planning period is forty days; the management risk of the target rotor within the planning period is analyzed, and a management danger signal or a management safe signal is generated through the analysis, and the management danger signal or the management safe signal is sent to the early warning terminal via the server, and the early warning terminal issues a corresponding early warning when receiving the management danger signal, and the management personnel strengthen the subsequent operation supervision of the large-capacity double-fed generator rotor when receiving the corresponding early warning, and can reasonably formulate an appropriate management planning scheme according to the operation performance of the large-capacity double-fed generator rotor, reduce the management difficulty of the management personnel and improve the management effect, further ensure the subsequent operation performance of the large-capacity double-fed generator rotor, and have a high degree of intelligence; the specific analysis process of the rotor management planning module is as follows:
[0052] A number of detection periods are set within the planning cycle, the number of operation reliability information generated for the target rotor in the corresponding detection period is calculated, and its reliability numerical deviation value is numerically compared with a preset reliability numerical deviation threshold value. If the reliability numerical deviation value exceeds the preset reliability numerical deviation threshold value, it indicates that the operation performance of the target rotor in the corresponding detection period is generally poor and difficult to manage, and the corresponding detection period is marked as a high-variance period; if the reliability numerical deviation value does not exceed the preset reliability numerical deviation threshold value, it indicates that the operation performance of the target rotor in the corresponding detection period is generally good and easy to manage, and the corresponding detection period is marked as a low-variance period;
[0053] The number of high-difference time periods within the planning period is obtained and marked as high-difference detection values, and the reliability number deviation values of all detection periods are summed up to obtain the total reliability deviation value; the number of high-difference time periods between two adjacent groups of low-difference time periods is obtained and marked as rotor deviation values, the rotor deviation values are numerically compared with the preset rotor deviation threshold, and the number of rotor deviation values exceeding the preset rotor deviation threshold is marked as the deviation detection value;
[0054] The high anomaly inspection value QN, the total reliability anomaly value QP and the anomaly inspection value QK are numerically calculated by the formula QF=fk1*QN+fk2*QP(fk1+fk3)+fk3*QK to obtain the management planning initial inspection value QF, wherein fk1, fk2, and fk3 are preset proportional coefficients, and fk3>fk1>fk2>0; and the larger the numerical value of the management planning initial inspection value QF, the greater the management difficulty of the large-capacity doubly fed generator rotor; the management planning initial inspection value QF is numerically compared with the preset management planning initial inspection threshold, and if the management planning initial inspection value QF exceeds the preset management planning initial inspection threshold, it indicates that the management difficulty of the large-capacity doubly fed generator rotor is greater, and a management danger signal is generated.
[0055] Furthermore, if the management planning initial inspection value QF does not exceed the preset management planning initial inspection threshold, the processing timeliness judgment information for all reliability risk information in the planning period is collected, the number of untimely processing of reliability risk information is marked as an outlier of the processing efficiency number, and the ratio of the reliable management time value for the corresponding reliability risk information to the preset reliability management time threshold is marked as the reliability management table value, and the average of all reliability management table values in the planning period is calculated to obtain the reliability management measurement value;
[0056] By formula The management planning initial inspection value QF, the outlier value of the treatment efficiency number TP and the reliability management value TS are numerically calculated to obtain the management planning comprehensive evaluation value TY, where eg1, eg2 and eg3 are preset proportional coefficients, and the values of eg1, eg2 and eg3 are all greater than zero; and the larger the value of the management planning comprehensive evaluation value TY is, the worse the management performance of the large-capacity dual-fed electronic rotor is overall;
[0057] The management planning comprehensive evaluation value TY is numerically compared with the preset management planning comprehensive evaluation threshold. If the management planning comprehensive evaluation value TY exceeds the preset management planning comprehensive evaluation threshold, it indicates that the management performance of the large-capacity dual-fed electronic rotor is generally poor, and a management risk signal is generated; if the management planning comprehensive evaluation value TY does not exceed the preset management planning comprehensive evaluation threshold, it indicates that the management performance of the large-capacity dual-fed electronic rotor is generally good, and a management no-risk signal is generated.
[0058] The working principle of the present invention is as follows: when in use, the position of the target rotor is monitored in real time through the rotor position change detection and analysis module, and a normal rotor position change signal or an abnormal rotor position change signal is generated through analysis. When the normal rotor position change signal is generated, the operating state of the target rotor is monitored and analyzed through the rotor operation abnormality decision module to evaluate its abnormal operating condition, and an operation abnormality decision qualified signal or an operation abnormality decision unqualified signal is generated. When the operation abnormality decision qualified signal is generated, the bearing matching the target rotor is obtained through the bearing hidden danger assessment module, and the bearing hidden danger condition of the corresponding bearing is analyzed, and a bearing high hidden danger signal or a bearing low hidden danger signal is generated through analysis. When the operation reliability comprehensive evaluation module receives the rotor position abnormality signal, the operation abnormality decision unqualified signal or the bearing high hidden danger signal, the operation reliability risk information is sent to the early warning terminal so that it issues a corresponding early warning, thereby realizing a comprehensive analysis of the operating reliability of the large-capacity dual-fed electronic rotor and timely feedback of the early warning. The analysis is more comprehensive and accurate, which is conducive to the management personnel to quickly make corresponding improvement measures to ensure the operating safety and stability of the large-capacity dual-fed electronic rotor.
[0059] The above formulas are all dimensionless and numerical calculations. The formula is a formula obtained by collecting a large amount of data and performing software simulation to obtain the most recent real situation. The preset parameters in the formula are set by technicians in this field according to actual conditions. The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the contents of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that technicians in the relevant technical field can understand and use the present invention well. The present invention is only limited by the claims and their full scope and equivalents.
Claims
1. A large-capacity doubly-fed generator rotor operation reliability assessment system, characterized in that: It includes a server, a rotor position change detection and analysis module, a rotor operation abnormality decision module, a bearing hidden danger assessment module, an operation reliability comprehensive evaluation module and an early warning terminal; the server obtains the large-capacity dual-fed electronic rotor to be regulated and marks it as a target rotor, the rotor position change detection and analysis module monitors the position of the target rotor in real time, generates a rotor position change normal signal or a rotor position change abnormal signal through analysis, and sends the rotor position change abnormal signal to the operation reliability comprehensive evaluation module via the server, and sends the rotor position change normal signal to the rotor operation abnormality decision module via the server; When receiving the rotor position change normal signal, the rotor operation abnormality decision module monitors and analyzes the operation state of the target rotor to evaluate its operation abnormality, and generates an operation abnormality decision qualified signal or an operation abnormality decision unqualified signal, and sends the operation abnormality decision unqualified signal to the operation reliability comprehensive evaluation module via the server, and sends the operation abnormality decision qualified signal to the bearing hidden danger assessment module via the server; When the bearing hidden danger assessment module receives the qualified signal of the abnormal operation decision, it obtains the bearing that matches the target rotor, analyzes the bearing hidden danger status of the corresponding bearing, generates a high hidden danger signal of the bearing or a low hidden danger signal of the bearing through analysis, and sends the high hidden danger signal of the bearing to the operation reliability comprehensive evaluation module via the server; when the operation reliability comprehensive evaluation module receives the abnormal rotor position change signal, the unqualified signal of the abnormal operation decision or the high hidden danger signal of the bearing, it sends the operation reliability risk information to the early warning terminal via the server, and the early warning terminal displays the operation reliability risk information and issues a corresponding early warning; The specific operation process of the rotor position change detection and analysis module includes: A number of detection points are set on the target rotor, and the real-time distance between the corresponding detection point and the stator to which the large-capacity dual-fed electronic device belongs is collected and marked as the transfer line distance value, and the transfer line distance value is calculated and the absolute value is taken to obtain the transfer line condition value, and the detection point whose transfer line condition value exceeds the preset transfer line condition threshold is marked as a deviation point; the number of deviation points on the target rotor is obtained and marked as the rotor deviation detection value, and the ratio of the transfer line condition value of the corresponding deviation point to the preset transfer line condition threshold is marked as the transfer line occupancy value, and the transfer line occupancy values of all deviation points are averaged to obtain the transfer line measurement value; And the inclination of the target rotor is collected, and the rotor deviation detection value ZF, the rotation line measurement value ZY and the inclination ZS of the target rotor are numerically calculated by the formula ZQ=(a1*ZF+a2*ZY+a3*ZS) / 3 to obtain the rotor position table value ZQ, wherein a1, a2, and a3 are preset proportional coefficients, and the values of a1, a2, and a3 are all greater than zero; if the rotor position table value exceeds the preset rotor position table threshold, a rotor position change abnormal signal is generated; if the rotor position table value does not exceed the preset rotor position table threshold, a rotor position change normal signal is generated; The specific operation process of the rotor operation decision module includes: The actual speed of the target rotor is collected, and the deviation value between the real-time speed and the currently set standard speed is marked as the speed detection value, and the vibration data and noise data generated by the target rotor are collected, and the temperature data at several positions on the target rotor are averaged to obtain the rotor temperature detection value; By formula The rotation speed detection value YR, vibration data YW, noise data YM and rotor temperature detection value YB are numerically calculated to obtain the rotor abnormal condition value YP, wherein hy1, hy2, hy3, hy4 are preset proportional coefficients, and the values of hy1, hy2, hy3, hy4 are all positive numbers; Compare the rotor abnormal condition value with the preset rotor abnormal condition threshold, if the rotor abnormal condition value exceeds the preset rotor abnormal condition threshold, generate an operation abnormal decision qualified signal, if the rotor abnormal condition value does not exceed the preset rotor abnormal condition threshold, generate an operation abnormal decision unqualified signal; The specific operation process of the bearing hidden danger assessment module includes: The oil level data in the corresponding bearing is collected, and the oil level data is numerically compared with the preset oil level data range. If the oil level data is not within the preset oil level data range, a high bearing hidden danger signal is generated; if the oil level data is within the preset oil level data range, a bearing oil inspection value is obtained through bearing oil inspection evaluation and analysis. If the bearing oil inspection value exceeds the preset bearing oil inspection threshold, a bearing high hidden danger signal is generated; if the bearing oil inspection value does not exceed the preset bearing oil inspection threshold, a bearing low hidden danger signal is generated; The specific analysis process of bearing oil inspection and evaluation is as follows: The impurity data and bubble data in the lubricating oil of the corresponding bearing are collected and marked as the bearing oil impurity value and the bearing oil bubble value, and the temperature data of the lubricating oil in the corresponding bearing is collected, and the temperature data of the lubricating oil is calculated by difference with the median of the preset suitable temperature range and the absolute value is taken to obtain the bearing oil temperature value, and the viscosity data of the lubricating oil in the corresponding bearing is collected, and the viscosity data is calculated by difference with the median of the preset suitable viscosity data range and the absolute value is taken to obtain the bearing oil viscosity value; By formula The bearing oil impurity value WY, the bearing oil bubble value WP, the bearing oil temperature value WN and the bearing oil viscosity value WK are numerically calculated to obtain the bearing oil inspection value WF; wherein, rq1, rq2, rq3, rq4 are preset proportional coefficients, and the values of rq1, rq2, rq3, rq4 are all positive numbers.
2. A large-capacity doubly-fed generator rotor operation reliability assessment system according to claim 1, characterized in that: The server is connected to the management timeliness detection module for communication. The management timeliness detection module collects the reliability management time value. If the reliability management time value does not exceed the preset reliability management time threshold, it is determined that the processing of the corresponding operation reliability risk information is timely. If the reliability management time value exceeds the preset reliability management time threshold, it is judged that the processing of the corresponding operation reliability risk information is not timely, and the processing timeliness judgment information of the corresponding reliability risk information is sent to the server for storage.
3. A large-capacity doubly-fed generator rotor operation reliability assessment system according to claim 2, characterized in that: The server is communicatively connected with the rotor management planning module. The rotor management planning module is used to set a planning period, analyze the management risk of the target rotor within the planning period, generate a management danger signal or a management safe signal through the analysis, and send the management danger signal or the management safe signal to the early warning terminal via the server. When the early warning terminal receives the management danger signal, it will issue a corresponding early warning.
4. A large-capacity doubly-fed generator rotor operation reliability assessment system according to claim 3, characterized in that: The specific analysis process of the rotor management planning module is as follows: A number of detection periods are set within the planning cycle, and the number of operation reliability information generated for the target rotor in the corresponding detection period is calculated and its reliability number deviation value is calculated. If the reliability number deviation value exceeds the preset reliability number deviation threshold, the corresponding detection period is marked as a high deviation period; if the reliability number deviation value does not exceed the preset reliability number deviation threshold, the corresponding detection period is marked as a low deviation period; The number of high-deviation time periods within the planning cycle is obtained and marked as high-deviation number detection values, and the reliability number deviation values of all detection periods are summed up to obtain the total reliability deviation value; the number of high-deviation time periods between two adjacent groups of low-deviation time periods is obtained and marked as rotor deviation holding values, the rotor deviation holding values are numerically compared with the preset rotor deviation holding threshold, and the number of rotor deviation holding values exceeding the preset rotor deviation holding threshold is marked as the deviation number detection value; the management planning initial inspection value is obtained by numerically calculating the high-deviation number detection value, the total reliability deviation value and the deviation number detection value. If the management planning initial inspection value exceeds the preset management planning initial inspection threshold, a management danger signal is generated.
5. A large-capacity doubly-fed generator rotor operation reliability assessment system according to claim 4, characterized in that: If the management plan initial inspection value does not exceed the preset management plan initial inspection threshold, the management plan comprehensive evaluation value is obtained by numerically calculating the management plan initial inspection value, the treatment effect number outlier value and the reliability management measurement value. If the management plan comprehensive evaluation value exceeds the preset management plan comprehensive evaluation threshold, a management risk signal is generated; If the management planning comprehensive evaluation value does not exceed the preset management planning comprehensive evaluation threshold, a management safe signal is generated.
Citation Information
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