Synchronous phase modifier integrated monitoring device

Abstract

The utility model relates to the technical field of power equipment monitoring and control, and discloses a synchronous phase modifier integrated monitoring device, which comprises a phase modifier, and a data acquisition device, a data fusion device, an intelligent analysis device, a fault diagnosis device and a linkage control device which are connected with the phase modifier, the phase modifier is connected with the data acquisition device through a shielding signal cable and is used for acquiring operation data; the data acquisition device is connected with the data fusion device through an industrial bus and is used for realizing real-time uploading of acquired data; the data fusion device is respectively connected with the intelligent analysis device and the fault diagnosis device through the Ethernet, and is used for converting the dispersedly collected parameters into standardized fusion data; the intelligent analysis device and the fault diagnosis device are connected with the linkage control device through wires and used for outputting early warning information and fault handling instructions. The device manages data in a unified manner, replaces manual summarization, improves monitoring efficiency, prejudges hidden dangers, gives an early warning in advance, avoids fault accumulation, and guarantees operation of the phase modifier.

Description

TECHNICAL FIELD

[0001] The utility model relates to the field of power equipment monitoring and control technology, concretely is a synchronous condenser integrated monitoring device. BACKGROUND

[0002] The synchronous condenser is a kind of no-load operation synchronous machine, and the main function is to provide or absorb reactive power to power system by adjusting the excitation current of itself, to stabilize grid voltage and improve power factor.It is equivalent to a "dynamic reactive power compensation device", and plays an important voltage support role in power system.In new energy wind field, it is the core equipment to improve grid short-circuit capacity and guarantee new energy sending stability, so the accurate monitoring of its operating state is directly related to system safety.

[0003] However, the existing condenser monitoring mode has significant defects: monitoring depends on independent sensors and decentralized control systems, and core indicators such as excitation system parameters, vibration state and temperature are collected by different devices respectively, without forming a unified management system.Operational personnel need to manually aggregate multi-source data to evaluate the overall state of the equipment, which is not only inefficient, but also difficult to quickly identify potential risks, and is out of touch with the efficient operation and maintenance needs of the wind farm.

[0004] In addition, the traditional monitoring early warning mechanism and coordination ability are insufficient: only through single parameter threshold triggering alarm, it is impossible to predict the implicit hidden danger (such as vibration amplitude gradually increasing) when "signal value continues to increase but does not reach alarm set value", which is easy to lead to fault accumulation;At the same time, it lacks linkage with other equipment (such as wind turbine, booster station circuit breaker) and intelligent inspection data in wind farm, and manual troubleshooting is needed after fault occurs, lacking automatic diagnosis function, and it is difficult to meet the requirements of "unattended, intelligent operation and maintenance".For this purpose, we propose a synchronous condenser integrated monitoring device to solve the above problems. UTILITY MODEL CONTENTS

[0005] The utility model aims at providing a kind of synchronous condenser integrated monitoring device to solve the above background technology and propose the current core indicators of synchronous condenser are collected by different devices, without unified management, manually aggregate data inefficiently, early warning only relies on single parameter threshold, it is difficult to predict implicit hidden danger, lacks linkage with other equipment and inspection data in wind farm, lacks automatic diagnosis, and it is difficult to meet the requirements of intelligent operation and maintenance.

[0006] To achieve the above purpose, the utility model provides the following technical scheme:

[0007] The application discloses a synchronous condenser integrated monitoring device, which comprises a synchronous condenser and a data acquisition device, a data fusion device, an intelligent analysis device, a fault diagnosis device and a linkage control device connected with the synchronous condenser, wherein the synchronous condenser is connected with the data acquisition device through a shielded signal cable for collecting operation data; the data acquisition device is connected with the data fusion device through an industrial bus for realizing real-time uploading of the collected data; the data fusion device is connected with the intelligent analysis device and the fault diagnosis device through an Ethernet for converting the dispersedly collected parameters into standardized fusion data and forming a unified management system; and the intelligent analysis device and the fault diagnosis device are connected with the linkage control device through wires for outputting early warning information and fault disposal instructions to replace an artificial summary and evaluation process.

[0008] Preferably, the data acquisition device comprises a voltage sensor, a current sensor, a vibration sensor and a temperature sensor, the voltage sensor and the current sensor are electrically connected with U-phase, V-phase and W-phase winding outlet terminals of the synchronous condenser through three-phase wires for synchronously collecting excitation voltage and excitation current core parameters of an excitation system of the synchronous condenser; the vibration sensor is installed on a bearing seat of the synchronous condenser through magnetic attraction at the bottom, and a sensor probe is attached to a metal surface of the bearing seat for collecting vibration state data; and the temperature sensor is embedded at a stator core slot wedge of the synchronous condenser, a signal output end of the temperature sensor is connected with a signal conditioning module of the data acquisition device through high-temperature-resistant wires for transmitting a collected stator core temperature signal to the data acquisition device for processing.

[0009] Preferably, the data fusion device comprises a multi-protocol communication gateway module and a time sequence database module, the multi-protocol communication gateway module is connected with a wind power plant SCADA system through wires, and is connected with an unmanned aerial vehicle inspection platform and wind turbine and booster station breaker associated equipment communication through a wireless local area network to realize cross-device data linkage; and the time sequence database module is used for storing synchronous condenser operation data and associated equipment data to form a unified data management system.

[0010] Preferably, the intelligent analysis device comprises an edge computing module and an early warning pushing module, the edge computing module comprises a sliding window algorithm unit and a linear regression unit, can perform trend analysis and prediction on hidden dangers with gradually increased vibration amplitude, slowly rising temperature and continuously increased signal value without reaching an alarm setting value; and the early warning pushing module sends alarm information containing abnormal parameters and position information to a smart operation center when detecting an abnormal trend to replace a single parameter threshold alarm mechanism.

[0011] Preferably, the fault diagnosis device comprises an expert system reasoning module and a fault case library module, the expert system reasoning module is used for fuzzy matching in combination with the generator operation data and the wind farm associated equipment data transmitted by the data fusion device, and automatic diagnosis function is realized; the fault case library module is used for storing typical fault disposal schemes of overvoltage and excitation abnormal type, and supports case updating iteration, and replaces the manual troubleshooting positioning process.

[0012] Preferably, the linkage control device comprises a communication module and an instruction execution module, the communication module is connected with the wind farm AVC system through industrial Ethernet, and uploads the short-circuit ratio and voltage fluctuation data of the power grid in real time, and simultaneously realizes linkage data interaction with other equipment of the wind farm; the instruction execution module automatically triggers the reactive power compensation adjustment instruction and the corresponding equipment cooperative control instruction under the short-circuit, voltage fluctuation exceeding standard power grid abnormal scene, and is docked with the regional operation and inspection dispatching module of the intelligent operation center, and satisfies the unattended operation and maintenance demand.

[0013] Preferably, the data acquisition device, the data fusion device, the intelligent analysis device, the fault diagnosis device and the linkage control device are all powered by direct current voltages.

[0014] The utility model has the following beneficial effects:

[0015] 1, data unified management, promote monitoring efficiency, through integrated acquisition generator excitation parameter, vibration, temperature and other core data, realize linkage and unified storage with wind farm associated equipment data in combination with the data fusion device, replace manual summary, let operation and maintenance personnel directly master the overall state, improve efficiency greatly.

[0016] 2, perfect early warning mechanism, identify hidden danger in advance, rely on edge calculation module to carry out trend prediction to vibration amplitude rise, temperature slow rise and other implicit hidden danger, break through single parameter threshold alarm limit, push early warning information in advance, avoid fault accumulation.

[0017] 3, enhance the cooperative ability, realize intelligent disposal, linkage wind farm equipment and inspection data, replace manual troubleshooting through automatic diagnosis, automatically trigger adjustment and cooperative control instruction when the power grid is abnormal, satisfy 'unattended, intelligent operation and maintenance' demand, improve fault disposal efficiency.

[0018] 4, guarantee system safety, support stable operation, through accurate monitoring, early warning and rapid disposal, guarantee the stable operation of the generator, reduce system safety risk, provide core support for the stability of wind farm new energy sending. BRIEF DESCRIPTION OF DRAWINGS

[0019] Figure 1 It is the overall flow chart of the utility model.

[0020] Figure 2The overall module block diagram of the utility model.

[0021] Figure 3 The data acquisition device module block diagram of the utility model.

[0022] Figure 4 The data fusion device module block diagram of the utility model.

[0023] Figure 5 The intelligent analysis device module block diagram of the utility model.

[0024] Figure 6 The fault diagnosis device module block diagram of the utility model.

[0025] Figure 7 The linkage control device module block diagram of the utility model.

[0026] In the figure: 1, phase modifier;2, data acquisition device;21, voltage sensor;22, current sensor;23, vibration sensor;24, temperature sensor;3, data fusion device;31, multi-protocol communication gateway module;32, time sequence database module;4, intelligent analysis device;41, edge computing module;42, early warning push module;5, fault diagnosis device;51, expert system reasoning module;52, fault case library module;6, linkage control device;61, communication module;62, instruction execution module. DETAILED DESCRIPTION

[0027] The technical solutions in the embodiments of the utility model will be clearly and completely described below with reference to the drawings in the embodiments of the utility model. Obviously, the described embodiments are only part of the embodiments of the utility model, rather than all the embodiments. Based on the embodiments in the utility model, all the other embodiments obtained by those skilled in the art without creative labor fall within the scope of protection of the utility model.

[0028] In the present application, each device adopts the conventional model in the prior art, and the control mode is controlled by a controller. The control circuit of the controller can be realized by simple programming of those skilled in the art, and it belongs to the common knowledge in the art, so the present application will not be explained in detail.

[0029] Please refer to the drawings Figure 1 and Figure 2As shown, a synchronous phase modifier integrated monitoring device includes a phase modifier 1 and a data acquisition device 2, a data fusion device 3, an intelligent analysis device 4, a fault diagnosis device 5 and a linkage control device 6 connected with the phase modifier 1, the data acquisition device 2, the data fusion device 3, the intelligent analysis device 4, the fault diagnosis device 5 and the linkage control device 6 are all powered by a direct current 24-volt voltage, the direct current 24-volt is a safe low voltage commonly used in the industrial field, the voltage fluctuation is small during the power supply process, and the stable power support can be provided for the core components such as the sensor of the data acquisition device 2, the communication module of the data fusion device, the algorithm unit of the intelligent analysis device 4 and the like, and the problems such as data acquisition distortion and analysis calculation error caused by unstable voltage are avoided, the phase modifier 1 is connected with the data acquisition device 2 through a shielded signal cable, and is used for acquiring operation data; the data acquisition device 2 is connected with the data fusion device 3 through an industrial bus, and is used for realizing real-time uploading of the collected data, the phase modifier 1 is connected with the data acquisition device 2 through a shielded signal cable, the voltage sensor 21 and the current sensor 22 of the phase modifier 1 are connected to the winding outlet end of the phase modifier 1 to collect excitation parameters, the vibration sensor 23 and the temperature sensor 24 are respectively installed on the bearing seat and the stator core to realize integrated collection of core indexes; the collected data is uploaded to the data fusion device 3 in real time through the industrial bus; the data fusion device 3 is connected with the intelligent analysis device 4 and the fault diagnosis device 5 through an Ethernet, and is used for converting the dispersed collected parameters into standardized fusion data, forming a unified management system, the data fusion device 3 links the wind farm SCADA (data acquisition and monitoring control) system, unmanned aerial vehicle inspection and fan equipment data through a multi-protocol communication gateway module 31, and completes standardized storage in combination with a time sequence database module 32 to form a unified data pool; the fusion data is synchronously distributed to the intelligent analysis device 4 and the fault diagnosis device 5 through the Ethernet; the intelligent analysis device 4 and the fault diagnosis device 5 are connected with the linkage control device 6 through wires, and are used for outputting early warning information and fault disposal instructions, replacing the manual summary evaluation process, the edge computing module 41 of the intelligent analysis device 4 performs trend analysis on the fusion data, and the early warning push module 42 outputs early warning; the expert system reasoning module 51 of the fault diagnosis device 5 matches faults in combination with linkage data, and calls the fault case library module 52 scheme; the results of the two are transmitted to the linkage control device 6 through wires, the communication module 61 links the wind farm AVC (automatic voltage control) system, and the instruction execution module 62 automatically triggers the adjustment instruction to complete closed-loop control.

[0030] The device constructs an integrated monitoring system of "data acquisition-fusion management-analysis diagnosis-linkage disposal" through the orderly connection of the phase modifier 1 and the data acquisition, fusion, intelligent analysis, fault diagnosis and linkage control device.

[0031] Through data acquisition and fusion, the unified management of core parameters and associated data is realized, replacing manual compilation, and solving the problems of traditional monitoring data dispersion and low efficiency; relying on intelligent analysis and fault diagnosis, risk prediction and automatic diagnosis are realized, replacing manual evaluation, and solving the defects of traditional mode that is difficult to identify hidden hazards and lacks automatic diagnosis; through linkage control, automatic disposal and operation and maintenance linkage are realized, meeting the demand of "unattended, intelligent operation and maintenance", providing reliable guarantee for the stable operation of the phase modifier 1 and the safety of new energy transmission from the wind field.

[0032] Please refer to the attached Figure 1 - Figure 3 As shown in the figure, the data acquisition device 2 includes a voltage sensor 21, a current sensor 22, a vibration sensor 23 and a temperature sensor 24 connected by wires, the voltage sensor 21 and the current sensor 22 are electrically connected with the U-phase, V-phase and W-phase winding outlet terminals of the phase modifier 1 through three-phase wires, and the voltage and current signals output by the winding are sensed in real time by using the principle of electromagnetic induction, the core parameters such as excitation voltage and excitation current are collected synchronously, and the accuracy of electrical parameter collection is ensured; the vibration sensor 23 is installed on the bearing seat of the phase modifier 1 through magnetic attraction at the bottom, and the sensor probe is attached to the metal surface of the bearing seat, the mechanical vibration such as amplitude and frequency of the bearing during operation is converted into an electrical signal, which is transmitted to the inside of the device through wires, realizing real-time monitoring of the vibration state; the temperature sensor 24 is embedded in the stator core slot wedge of the phase modifier 1, and the signal output end thereof is connected with the signal conditioning module of the data acquisition device 2 through high-temperature-resistant wires, for transmitting the collected stator core temperature signal to the data acquisition device 2 for processing, the temperature sensor 24 is embedded in the stator core slot wedge of the phase modifier 1, directly contacting the heat generating components, and converting the core temperature into an electrical signal through a thermosensitive element, since the temperature in the core area is relatively high, the signal is transmitted to the signal conditioning module of the data acquisition device through high-temperature-resistant wires, and after filtering, amplification and other treatments, stable temperature monitoring data is obtained, and all the signals collected by the sensors are finally collected in the data acquisition device 2, completing the integrated collection of the core operating parameters of the phase modifier 1, and providing original data support for subsequent data processing.

[0033] Please refer to the attached Figure 1 、 Figure 2 and Figure 4As shown, the data fusion device 3 includes a multi-protocol communication gateway module 31 and a time series database module 32. The multi-protocol communication gateway module 31 is connected to the wind farm SCADA system through wires, receives overall operation data of the wind farm (such as grid voltage, power, etc.), and communicates with the unmanned aerial vehicle inspection platform and the wind farm wind turbine, booster station circuit breaker associated equipment through wireless local area network (Wi-Fi, 4G, 5G), realizes cross-device data linkage, collects equipment state data, and the multi-protocol communication gateway module 31 as a "data transfer station" compatible with different equipment communication protocols, converts the dispersed phase modifier 1 operation data (from the data acquisition device) and associated equipment data into a unified format, realizes cross-device data linkage; the time series database module 32 is used for storing the operation data of the phase modifier 1 and the associated equipment data, forming a unified data management system, the time series database module 32 receives the standardized data transmitted by the multi-protocol communication gateway module 31, stores the operation data of the phase modifier 1 (excitation parameter, vibration, temperature) and the associated equipment data (wind turbine output, circuit breaker state) according to the time stamp, forms a structured data pool, supports fast query, backtracking and subsequent analysis and calling, and builds a unified data management system.

[0034] The data fusion device 3 solves the problem of data dispersion, breaks the "data island" of the phase modifier 1 and other equipment in the wind farm, replaces the traditional "multiple system independent collection, manual summary" mode through protocol conversion and unified storage, improves the data integration efficiency, and provides a complete data basis for intelligent analysis (such as trend prediction) and fault diagnosis (such as cross-device correlation analysis) through the unified data pool, avoids misjudgment caused by data loss, and meets the needs of wind farm "unattended" for real-time data sharing and centralized management, and provides data support for subsequent automatic decision-making.

[0035] Please refer to the attached Figure 1 , Figure 2 and Figure 5As shown, the intelligent analysis device 4 includes an edge computing module 41 and an early warning pushing module 42. The edge computing module 41 includes a sliding window algorithm unit and a linear regression unit, and can perform trend analysis and prediction on the implicit hidden danger that the vibration amplitude gradually increases, the temperature slowly rises, and the signal value continuously increases but does not reach the alarm set value. The sliding window algorithm unit divides the continuously collected vibration amplitude, temperature and other data into "window segments" (such as every 10 minutes) according to time, compares the value change trend of different windows, identifies the characteristics of "slowly rising but not exceeding the standard" (such as the vibration amplitude gradually increases from 0.05 mm to 0.08 mm, which does not reach the 0.1 mm alarm threshold), and the linear regression unit fits the window data to determine the change rate (such as the daily average temperature rise of 2°C). If the rate exceeds the normal range, it is determined as a potential hidden danger. The early warning pushing module 42 sends alarm information containing abnormal parameters and location information to the intelligent operation center when detecting abnormal trends, replacing the single parameter threshold alarm mechanism. When the edge computing module 41 identifies an abnormal trend, the early warning pushing module 42 automatically integrates abnormal parameters (such as "vibration amplitude increases by 0.03 mm within 30 minutes") and corresponding sensor locations (such as "bearing seat vibration sensor"), generates structured alarm information, and sends it to the intelligent operation center through the communication link.

[0036] Break through the limitations of traditional early warning, replace the mode of "single parameter reaching threshold value to alarm", identify implicit hidden dangers in advance, avoid fault accumulation (such as slow increase of vibration caused by early wear of bearings, early warning), improve early warning accuracy, combine trend analysis instead of single value, reduce false positives (such as transient voltage fluctuations no longer trigger invalid alarms), reduce the workload of operation and maintenance personnel, support proactive operation and maintenance, clearly define abnormal parameters and locations, and provide accurate disposal basis for intelligent operation center. From "fault maintenance" to "hidden danger intervention", improve the operation reliability of the phase modifier 1.

[0037] Please refer to the attached Figure 1 , Figure 2 and Figure 6As shown, the fault diagnosis device 5 includes an expert system reasoning module 51 and a fault case library module 52. The expert system reasoning module 51 is used for fuzzy matching in combination with the operation data of the phase modifier 1 and the wind farm associated equipment data transmitted by the data fusion device 3, to realize automatic diagnosis function. The fault case library module 52 is used for storing typical fault disposal schemes of overvoltage and excitation abnormal type, and supports case updating iteration, replaces manual troubleshooting positioning process. After the expert system reasoning module 51 receives the standardized data of the data fusion device 3, it compares the real-time data with the preset fault characteristic model through fuzzy matching algorithm. For complex scenarios, cross-validation is combined with wind farm associated data (such as "phase modifier 1 voltage fluctuation" accompanied by "substation circuit breaker action", which is judged as a cascading reaction caused by grid disturbance), to finally locate the fault type and possible cause. When the expert system reasoning module 51 determines the fault type, it automatically calls the corresponding scheme stored in the case library, and supports manual input of new fault cases and disposal experience, to update the case library through iteration, and improve the diagnosis ability for new faults.

[0038] Instead of manual troubleshooting, the efficiency is improved, and the operation and maintenance personnel do not need to check multiple source data one by one. Through automatic matching and correlation analysis, the fault positioning time is shortened from several hours to minutes. The diagnosis accuracy is improved. Based on the expert model and the case library, misjudgment caused by insufficient manual experience is avoided, and the diagnosis accuracy for "complex faults caused by multiple parameter correlation" is improved. Intelligent operation is supported. The disposal scheme is automatically output and the case library is continuously optimized, to adapt to the "unattended" demand of the wind farm, reduce the dependence on manual intervention, and ensure rapid response to faults.

[0039] Please refer to the attached Figure 1 , Figure 2 and Figure 7As shown, the linkage control device 6 includes a communication module 61 and an instruction execution module 62. The communication module 61 is connected with the wind farm AVC system through industrial Ethernet, and uploads the short-circuit ratio and voltage fluctuation data of the power grid in real time, and realizes the linkage data interaction with other devices in the wind farm. The instruction execution module 62 automatically triggers the reactive power compensation adjustment instruction and the corresponding device cooperative control instruction under the condition of short-circuit and voltage fluctuation exceeding the standard of the power grid, and is connected with the regional operation and inspection dispatching module of the intelligent operation center, so as to meet the unattended operation and maintenance requirement. The communication module 61 is connected with the wind farm AVC system (automatic voltage control system) through industrial Ethernet. On the one hand, the communication module 61 uploads the key data such as the short-circuit ratio and voltage fluctuation of the associated phase modifier 1 in real time, so that the AVC system can master the support state of the power grid. On the other hand, the communication module 61 receives the regulation and control requirement of the AVC system, and simultaneously performs data interaction with the wind turbine, booster station and other devices in the wind farm. When the abnormal early warning (such as the hidden danger trend) of the intelligent analysis device 4 or the fault conclusion (such as overvoltage and excitation abnormality) of the fault diagnosis device is received, and it is determined that the power grid is in an abnormal scene such as short-circuit and voltage fluctuation exceeding the standard, two types of instructions are automatically generated: core instruction: reactive power compensation adjustment instruction (such as adjusting excitation current and stabilizing power grid voltage) for the phase modifier 1; and cooperative instruction: cooperation instruction (such as requiring the wind turbine to temporarily adjust the output) sent to other devices in the wind farm. At the same time, the instruction execution state and fault disposal progress are uploaded to the regional operation and inspection dispatching module of the intelligent operation center, so as to realize the operation and maintenance closed loop.

[0040] The automatic disposal is realized, the manual operation is replaced, the adjustment and cooperative instruction is automatically triggered when the power grid is abnormal, the delay of the traditional "manual judgment-manual operation" is avoided, the fault response time is shortened from minutes to seconds, the equipment linkage is strengthened, the system stability is improved, the "independent operation" state of the phase modifier 1 and other devices in the wind farm is broken, the ability of the power grid to respond to the abnormality is upgraded from "single-point response" to "system linkage" through data interaction and cooperative control, the unattended requirement is met, the real-time connection with the operation and inspection dispatching module is realized, the manual intervention is not needed in the whole process, the "intelligent operation and maintenance" requirement of the wind farm is adapted, and the stability of the new energy transmission is ensured.

[0041] Workflow: When the phase modifier 1 is running, the data acquisition device 2 synchronously acquires core data such as excitation parameters, vibration and temperature through various sensors, and transmits the data to the data fusion device 3 through an industrial bus; the multi-protocol communication gateway module 31 of the data fusion device 3 links the wind farm SCADA system, unmanned aerial vehicle and associated equipment data, and stores the data in a unified data pool through a time series database module 32, and distributes the data to the intelligent analysis device 4 and the fault diagnosis device 5; the intelligent analysis device 4 predicts hidden hazards through algorithms and pushes early warnings, and the fault diagnosis device 5 automatically matches faults and calls disposal schemes in combination with linked data; the results of the two are transmitted to the linkage control device 6, the communication module 61 links the wind farm AVC system, and the instruction execution module 62 automatically triggers adjustment and coordination instructions when the power grid is abnormal, completes closed-loop monitoring, and uses direct current 24V power supply throughout the process to ensure stable operation.

[0042] The device constructs an integrated system of "collection-fusion-analysis-diagnosis-control", solves the problems of scattered traditional monitoring data and low efficiency of manual collection through unified data management; breaks through the limitation of single threshold early warning by trend prediction, and identifies hidden hazards in advance; replaces manual troubleshooting through data linkage and automatic diagnosis, greatly shortens the fault positioning time; linkage control realizes automatic disposal of abnormal scenes, meets the demand of "unattended", and improves the efficiency and accuracy of the operation monitoring of the phase modifier 1, strengthens the stability of the new energy transmission of the wind farm, and provides reliable support for the safety of the power grid.

[0043] It should be noted that, in this text, relational terms such as first and second are used merely to distinguish one entity or action from another, without necessarily requiring or implying any such actual relationship or order between such entities or actions. Moreover, the terms "comprises", "comprising", or any other variant thereof are intended to cover non-exclusive inclusions, so that a process, method, article, or equipment including a series of elements not only includes those elements, but also includes other elements not explicitly listed or inherent to such a process, method, article, or equipment.

[0044] The above is only the preferred embodiment of the present application, and it should be pointed out that for ordinary skilled persons in the technical field, without departing from the technical principles of the present application, a number of improvements and refinements can be made, and these improvements and refinements should also be regarded as the protection scope of the present application.

Claims

1. A synchronous phase modifier integrated monitoring device, comprising a phase modifier (1) and a data acquisition device (2), a data fusion device (3), an intelligent analysis device (4), a fault diagnosis device (5) and a linkage control device (6) connected with the phase modifier (1), characterized in that: The phase modifier (1) is connected with a data acquisition device (2) through a shielding signal cable, used for collecting operation data; the data acquisition device (2) is connected with a data fusion device (3) through an industrial bus, used for realizing real-time uploading of collected data; the data fusion device (3) is connected with an intelligent analysis device (4) and a fault diagnosis device (5) through an Ethernet, used for converting the dispersedly collected parameters into standardized fusion data, forming a unified management system; the intelligent analysis device (4) and the fault diagnosis device (5) are connected with a linkage control device (6) through wires, used for outputting early warning information and fault disposal instructions, replacing the manual summary and evaluation process.

2. The integrated monitoring device for synchronous phase modifier according to claim 1, characterized in that: The data acquisition device (2) comprises a voltage sensor (21), a current sensor (22), a vibration sensor (23) and a temperature sensor (24), the voltage sensor (21) and the current sensor (22) are electrically connected with U-phase, V-phase and W-phase winding outlet terminals of the phase modifier (1) through three-phase wires, used for synchronously collecting excitation voltage and excitation current core parameters of an excitation system of the phase modifier (1); the vibration sensor (23) is installed on a bearing seat of the phase modifier (1) through magnetic attraction at the bottom, and a sensor probe is attached to a metal surface of the bearing seat, used for collecting vibration state data; the temperature sensor (24) is embedded at a stator core slot wedge of the phase modifier (1), and a signal output end thereof is connected with a signal conditioning module of the data acquisition device (2) through high-temperature resistant wires, used for transmitting collected stator core temperature signals to the data acquisition device (2) for processing.

3. The integrated monitoring device for synchronous phase modifier according to claim 1, characterized in that: The data fusion device (3) comprises a multi-protocol communication gateway module (31) and a time series database module (32), the multi-protocol communication gateway module (31) is connected with a wind farm SCADA system through wires, and communicates with an unmanned aerial vehicle inspection platform and wind farm wind turbine and booster station circuit breaker associated equipment through a wireless local area network, realizing cross-device data linkage; the time series database module (32) is used for storing operation data of the phase modifier (1) and associated equipment data, forming a unified data management system.

4. The integrated monitoring device for synchronous phase modifier according to claim 1, characterized in that: The intelligent analysis device (4) comprises an edge computing module (41) and an early warning pushing module (42), the edge computing module (41) comprises a sliding window algorithm unit and a linear regression unit, and can perform trend analysis and prediction on hidden dangers with gradually increasing vibration amplitude, slowly rising temperature and continuously increasing signal values but not reaching an alarm setting value; the early warning pushing module (42) sends alarm information containing abnormal parameters and location information to a smart operation center when detecting abnormal trends, replacing a single parameter threshold alarm mechanism.

5. The integrated monitoring device for synchronous phase modifier according to claim 1, characterized in that: The fault diagnosis device (5) comprises an expert system reasoning module (51) and a fault case library module (52), the expert system reasoning module (51) is used for fuzzy matching in combination with the generator (1) operation data and the wind farm associated equipment data transmitted by the data fusion device (3), and automatic diagnosis function is realized; the fault case library module (52) is used for storing typical fault disposal schemes of overvoltage and excitation abnormal type, and supporting case update iteration, replacing the manual troubleshooting positioning process.

6. The integrated monitoring device for synchronous phase modifier according to claim 1, characterized in that: The linkage control device (6) comprises a communication module (61) and an instruction execution module (62), the communication module (61) is connected with the wind farm AVC system through the industrial Ethernet, and real-time uploading of power grid short-circuit ratio and voltage fluctuation data is realized, and linkage data interaction with other equipment of the wind farm is realized; the instruction execution module (62) automatically triggers the reactive power compensation adjustment instruction and the corresponding equipment cooperative control instruction under the short-circuit, voltage fluctuation exceeding standard power grid abnormal scene, and is docked with the regional operation and inspection dispatching module of the intelligent operation center, and the unattended operation and maintenance demand is met.

7. The integrated monitoring device for synchronous phase modifier according to claim 1, characterized in that: The data acquisition device (2), the data fusion device (3), the intelligent analysis device (4), the fault diagnosis device (5) and the linkage control device (6) all adopt direct current 24-volt voltage power supply.

Images