CN111577553A

CN111577553A - Intelligent state monitoring system for wind generating set

Info

Publication number: CN111577553A
Application number: CN202010377565.7A
Authority: CN
Inventors: 李海庆; 陈瑞涛; 袁容; 赵健
Original assignee: Guangdong Electronic Information Engineering Research Institute of UESTC
Current assignee: Guangdong Electronic Information Engineering Research Institute of UESTC
Priority date: 2020-05-07
Filing date: 2020-05-07
Publication date: 2020-08-25

Abstract

The invention discloses an intelligent monitoring system for the state of a wind generating set, and belongs to the field of data acquisition. The system comprises a sensor group, a wind turbine generator, a wireless receiver, a computer and an alarm; the vibration sensor adopts WiFi type wireless vibration and is installed on a plurality of bearings in a closed manner, and the rotating speed sensor is installed on the input shaft and the high-speed output shaft; the sensor collects the vibration signal of the wind turbine generator and the rotating speed signal of the input and output shaft in real time; the WIFI wireless receiver is connected with the computer and used for receiving the signal of the wireless sensor and transmitting the signal to the computer; the computer can obtain and master the current state by comprehensively analyzing the vibration and rotating speed signals of the system through the wind turbine generator fault diagnosis software platform, predict the future state, and then timely maintain, thereby enhancing the maintainability and reliability of the equipment.

Description

Intelligent state monitoring system for wind generating set

Technical Field

The invention belongs to the technical field of wind turbine generator testing, and particularly relates to an intelligent wind turbine generator state detection system.

Background

The geographical position of the fan is remote, the environment is severe, and a plurality of uncertain factors are brought to the long-term safe operation of the fan. Therefore, the probability of failure in actual operation is increased, if the failure cannot be judged in advance, timely maintenance is not achieved, and once the unit is stopped, the economic loss brought by the unit is huge, and even the life safety is threatened. All parts of the wind turbine generator set can vibrate in the operation process, the rigidity of the gear has the property of periodic change in the meshing process, and the gear vibrates due to the exciting force formed by factors such as manufacturing assembly errors, the variation of the meshing error torque and the like, and the exciting force is transmitted to the fan gear box through the main shaft, the main shaft bearing and the bearing seat to generate the vibration of the gear box body. The primary problem of system condition monitoring is condition monitoring and fault diagnosis of gearboxes, which contain gears, shafts and rolling bearings. Various types of faults may occur and interact under the influence of alternating aerospace shock loads. The faults of the gear and the bearing are most common, and the evolution of the faults generally has a process from small to large, and from local to comprehensive. The vibration signal reacts sensitively and rapidly, even very weak fault signals can react immediately, so that judgment and identification can be effectively made at the initial stage of the gradual fault of the transmission system, and the method can be used for tracking and monitoring the development trend of the fault: finally, the vibration signal measurement is convenient, and the vibration signal acquisition can be realized by installing a vibration measurement sensor at a proper position of the transmission system.

Disclosure of Invention

The invention aims to provide an intelligent monitoring system for the wind power generation state, which is used for solving the problems.

The invention discloses an intelligent monitoring system for the state of a wind generating set, which comprises a sensor group, a wind generating set, a wireless receiver, an industrial computer and an alarm;

the wind turbine generator system includes: the wind wheel is connected with the input shaft, the input shaft is connected with a planet carrier of the planetary gear, the low-speed shaft is connected with the output shaft of the planetary gear, the low-speed shaft and the medium-speed shaft are meshed and conducted through the gear, the medium-speed shaft and the high-speed output shaft are meshed and conducted through the gear, and the high-speed output shaft is connected with the generator;

the sensor group includes: the four vibration sensors are respectively arranged on a bearing for mounting an input shaft, a bearing for mounting a low-speed shaft, a bearing for mounting a medium-speed shaft and a bearing for mounting a high-speed output shaft; the two rotating speed sensors are respectively arranged near the input shaft and the high-speed output shaft and used for monitoring the rotating speeds of the input shaft and the high-speed output shaft;

the wireless receiver receives monitoring data of the four vibration sensors and the two rotating speed sensors, the industrial computer analyzes the monitoring data to judge whether the wind turbine generator has faults or not, and the alarm is controlled according to the judgment result.

Installing the wireless vibration sensor in the gear box, and installing the wireless vibration sensor in a closed manner; the sensor adopts a wireless sensor, realizes remote monitoring, and is flexible, convenient and reliable. The computer analyzes the received fault signal through fault information diagnosis software and then judges the running state of the unit, and provides the real-time state of the unit for workers; and an alarm is arranged to remind the staff of timely processing the failure of the unit. The intelligent air conditioner can provide the running state of each component of the unit for the working personnel in real-time working conditions earlier, improves the intelligent degree, reduces the workload of later maintenance, and improves the maintainability.

Drawings

FIG. 1 is a schematic structural diagram of a wind turbine according to the present invention;

FIG. 2 is a schematic structural view of the present invention as a whole;

description of reference numerals: 1. the wind wheel comprises a wind wheel body, 2. an input shaft, 3. a planet carrier, 4. gears, 5a, 5b, 5c and 5d bearings, 6. a low-speed shaft, 7. a medium-speed shaft, 8. a high-speed output shaft, 9. a generator, 10. a gear box, 11. a vibration sensor I, 12. a vibration sensor II and 13.

The vibration sensor III, 14, the vibration sensor IV, 15, the rotating speed sensor II, 16, the wireless receiver, 17, the computer, 18, the alarm, 19, the display and 20, the rotating speed sensor I.

Detailed Description

The invention is further described with reference to the following figures and specific embodiments:

as shown in the drawings, the following detailed description of the preferred embodiments of the present invention will first be provided in conjunction with the accompanying drawings so that the advantages and features of the present invention can be more readily understood by those skilled in the art, and the scope of the present invention will be more clearly and clearly defined.

Referring to fig. 1 and 2, an embodiment of the present invention includes:

the sensor group comprises a vibration sensor (a wireless vibration sensor) and a rotating speed sensor, the vibration sensor is installed on the bearing in a closed mode, and the rotating speed sensor is installed on the input shaft and the high-speed output shaft; the wind turbine generator comprises a wind wheel, shafts (an input shaft, a low-speed shaft, a medium-speed shaft and a high-speed output shaft), bearings, a gear box, gears, a high-speed output shaft and a generator; the computer receives the data collected by the sensor group through the WiFi signal receiver, and then the data are analyzed and judged by special wind turbine fault information diagnosis software to send an instruction to the alarm; the alarm receives a computer instruction and then judges whether to send an alarm instruction or not; and the display is used for displaying the real-time running state of the wind turbine generator.

Firstly, the sensor group transmits the obtained signals to an industrial computer through a wireless receiver, and the industrial computer integrates, analyzes and judges the signals by using the fault information diagnosis software of the special wind turbine generator group; and then corresponding conclusions are drawn. The corresponding judgment is made as follows:

in the time domain, the waveform is simple harmonic wave, the burr is reduced, the vibration amplitude can be increased, and the trend of its variation is shown. The axial vibration is increased along with the increase of the rotating speed, a resonance peak value exists when the rotating speed passes through the critical rotating speed, the axis locus is generally a circle or an ellipse, and the axis is judged to be uneven; if the shaft is bent seriously, the frequency domain modulation phenomenon shows that the natural frequency of the gear, the meshing frequency and the frequency multiplication of the gear or the natural frequency of the box body are taken as the central frequency, the rotating frequency and the frequency multiplication of the shaft or the meshing frequency and the frequency multiplication are taken as the side frequency bands of the interval, the number of the side frequency bands is generally large, and the distribution range is also large. Further demodulation analysis is carried out, obvious shaft frequency conversion and frequency multiplication components can be seen, and shaft bending is judged; the parallel non-centering frequency domain modulation phenomenon is represented as that the gear meshing frequency and the frequency multiplication are used as the side frequency bands of the center frequency spacing which is the shaft rotating frequency and the frequency multiplication, wherein the frequency doubling component of the rotating frequency is generally the largest; along with the increase of vibration energy caused by the aggravation of faults, axial vibration is more obvious in performance, and the amplitude of meshing frequency is also increased; at the moment, the axis track is banana-shaped or 8-shaped, and the phase difference of the axial vibration caused by the misalignment of the angle is 180; it is judged to be out of alignment.

Claims

1. An intelligent state monitoring system for a wind generating set comprises a sensor group, a wind generating set, a wireless receiver, an industrial computer and an alarm;