CN221547196U - Fan variable pitch state monitoring and abnormality identification system - Google Patents
Fan variable pitch state monitoring and abnormality identification system Download PDFInfo
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- CN221547196U CN221547196U CN202420176176.1U CN202420176176U CN221547196U CN 221547196 U CN221547196 U CN 221547196U CN 202420176176 U CN202420176176 U CN 202420176176U CN 221547196 U CN221547196 U CN 221547196U
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Abstract
The utility model discloses a fan variable pitch state monitoring and abnormality identifying system, which comprises: the wind turbine generator monitoring device and the remote monitoring center system; the wind turbine generator monitoring device comprises: the system comprises an executing mechanism, a sensor module and a data processing module, wherein the executing mechanism, the sensor module and the data processing module are connected with the sensor module and are used for receiving parameters acquired by the sensor module, monitoring the variable-pitch state of the fan through a preset algorithm, identifying abnormal data and sending the abnormal data to a remote monitoring center system; and the control module is used for receiving the instruction of the remote monitoring center system and controlling the variable pitch of the fan through the execution mechanism. According to the utility model, the fan pitch state is monitored in real time, the abnormal situation of the fan pitch is rapidly identified, the intelligent degree and the practicability of the system are improved, the remote monitoring capability is strong, the cost is low, the running efficiency and the reliability of the wind turbine generator are improved, and the maintenance cost and the risk are reduced.
Description
Technical Field
The utility model belongs to the technical field of wind turbines, and particularly relates to a fan variable pitch state monitoring and abnormality identifying system.
Background
The 21 st century is the age of rapid development of wind power generation technology, and wind power generation is widely applied and popularized in the global scope along with the enhancement of environmental protection consciousness and the adjustment of energy structures. The wind generating set is used as core equipment of wind power generation, and safe and stable operation of the wind generating set has important significance for efficient utilization of wind energy. In a wind power generator set, the pitch system is a key part, and the normal operation of the pitch system is critical to the capture of wind energy and the efficiency of the set. Therefore, the method is particularly important to the development and application of real-time monitoring and anomaly identification technology of the pitch system.
Along with the continuous progress of technology, the pitch state monitoring and anomaly identification technology of the wind generating set is also continuously developed. The original fan variable pitch state monitoring technology mainly depends on modes such as a mechanical sensor, manual inspection and the like, and the mode is low in efficiency and cannot monitor the state of a variable pitch system in real time. In the prior art, pitch state monitoring typically relies on mechanical sensors and simple electrical signal processing, which, while simple, are less accurate and susceptible to environmental factors and mechanical wear. In addition, these methods generally provide only basic operational state information, fail to accurately identify anomalies, and fail to predict potential faults.
In addition, some existing technologies can collect real-time data of the pitch system, but due to limitation of data processing capability, a large amount of data cannot be rapidly and accurately analyzed and processed, which may cause delay and erroneous judgment of abnormal recognition, thereby affecting normal operation and maintenance of the wind turbine generator set.
The present utility model has been made in view of this.
Disclosure of utility model
The utility model aims to overcome the defects of the prior art, and provides a fan variable pitch state monitoring and abnormality identifying system, wherein a wind turbine generator monitoring device is arranged to monitor fan variable pitch in real time, a sensor module is used for acquiring fan variable pitch state parameters, and a data processing module is used for monitoring and abnormality identifying the parameters through a preset algorithm to ensure that the fan variable pitch is in a normal operation range; the remote monitoring center system can be in communication connection with the wind turbine monitoring device, so that remote control and adjustment of the wind turbine monitoring device are realized; the state of the variable propeller of the fan is monitored and abnormal identification is carried out through the data processing module, abnormal data are automatically sent to the remote monitoring center system, the running efficiency and reliability of the variable propeller of the fan are improved, and the maintenance cost and risk are reduced.
In order to solve the technical problems, the utility model adopts the basic conception of the technical scheme that: the utility model provides a fan variable pitch state monitoring and abnormality identifying system, which comprises:
The wind turbine generator monitoring device is used for carrying out real-time monitoring and abnormality identification on the variable pitch of the fan;
the remote monitoring center system is in communication connection with the wind turbine monitoring device and is used for remotely controlling and adjusting the wind turbine monitoring device;
The wind turbine generator monitoring device comprises:
The actuating mechanism is connected with the fan variable pitch and is used for controlling the state of the fan variable pitch;
The sensor module is connected with the fan variable propeller and used for acquiring state parameters of the fan variable propeller;
The data processing module is connected with the sensor module and is used for receiving the parameters acquired by the sensor module, monitoring the variable pitch state of the fan through a preset algorithm, identifying abnormal data and sending the abnormal data to the remote monitoring center system;
And the control module is used for receiving the instruction of the remote monitoring center system and controlling the variable pitch of the fan through the execution mechanism.
Further, the wind turbine generator monitoring device further comprises:
The power module is used for converting a direct current power supply of the wind turbine generator into stable voltage required by each module and providing continuous power support for the whole device and the system;
The communication module is connected with the data processing module and is used for receiving the data processed by the data processing module and sending the data to the remote monitoring center system in real time through the high-speed wireless communication network;
The first display module is used for displaying the variable-pitch state data of the fan in real time;
And the first storage module is used for storing the historical data and the configuration information.
Further, the wind turbine generator monitoring device further comprises:
And the safety protection module is used for protecting the running state of the fan group monitoring device, taking safety protection measures when abnormal conditions are detected, and sending early warning information to the remote monitoring center system through the communication module.
Further, the security protection module includes:
The abnormal detection unit is used for monitoring the running state of the wind turbine generator monitoring device in real time and detecting whether an abnormal condition occurs;
The safety protection unit receives the feedback signal of the abnormality monitoring unit, and when the abnormality detection unit detects an abnormality, the safety protection unit takes corresponding safety protection measures;
The information generating unit is used for generating corresponding early warning information while taking safety protection measures and sending the early warning information to the remote monitoring center system through the communication module.
Further, a fault prediction model is arranged in the abnormality detection unit and used for analyzing historical data and real-time data and predicting possible faults and abnormal conditions of the wind turbine generator monitoring device.
Furthermore, the abnormality detection unit is also provided with a health management model for evaluating and managing the health condition of the wind turbine monitoring device, providing corresponding maintenance suggestions and preventive measures, and transmitting the prediction result and health evaluation information to a remote monitoring center system through a communication module.
Further, the operating state includes: device temperature, current, voltage, and operating state and behavior pattern of the device;
The safety measures include: shutting down the device, reducing power, and starting up the standby device;
The early warning information comprises: detailed description of the abnormal situation, time, place of occurrence and possible impact.
Further, the remote monitoring center system includes:
And the server module is in communication connection with the fan electric group monitoring devices and is used for receiving data and diagnosis results sent by the plurality of wind turbine group monitoring devices, carrying out centralized management and analysis, and realizing optimal control and operation and maintenance decision of the wind power plant by utilizing big data and artificial intelligence technology.
Further, the remote monitoring center system further includes:
The instruction module is used for sending control instructions to the variable pitch state monitoring and abnormality identifying devices of the plurality of wind turbines according to the analysis result of the server module and the operation of operation and maintenance personnel;
The second display module is used for displaying the running state and the diagnosis result of the wind power plant in real time and providing a visual monitoring interface and a report;
and the second storage module is used for storing historical data and configuration information of the wind power plant.
Further, the sensor module comprises a sensor probe, and the sensor probe is in non-contact connection with the variable pitch fan.
After the technical scheme is adopted, compared with the prior art, the utility model has the following beneficial effects:
(1) According to the utility model, the wind turbine generator monitoring device can monitor the variable pitch of the wind turbine in real time, the sensor module is used for acquiring the state parameters of the variable pitch of the wind turbine, then the data processing module is used for monitoring and abnormality identifying the parameters through a preset algorithm, so that the variable pitch of the wind turbine is ensured to be in a normal operation range, the remote monitoring center system can be in communication connection with the wind turbine generator monitoring device, the remote control, the regulation and the centralized management of a large number of variable pitches of the wind turbine generator are realized, the data processing module is used for monitoring and abnormality identifying the state of the variable pitch of the wind turbine generator, and abnormal data is automatically sent to the remote monitoring center system, so that the intelligent management level of the wind turbine generator is improved, the need of manual intervention is reduced, the real-time performance of the system is strong, and the state of the variable pitch system can be monitored in real time; the accuracy is high, and the abnormality is accurately identified through a preset algorithm; the remote monitoring capability can send data to a remote monitoring center; and the control function can control the variable pitch system according to the instruction of the monitoring center, so that the safe and stable operation and maintenance efficiency of the wind generating set are improved, and the maintenance cost is reduced.
The following describes the embodiments of the present utility model in further detail with reference to the accompanying drawings.
Drawings
The accompanying drawings, which are included to provide a further understanding of the utility model and are incorporated in and constitute a part of this specification, illustrate embodiments of the utility model and together with the description serve to explain the utility model. It is evident that the drawings in the following description are only examples, from which other drawings can be obtained by a person skilled in the art without the inventive effort. In the drawings:
FIG. 1 is a schematic diagram of a system for monitoring the variable pitch state and identifying anomalies of a wind turbine generator;
FIG. 2 is a block diagram of a wind turbine monitoring device in a wind turbine variable pitch state monitoring and anomaly identification system according to the present utility model.
It should be noted that these drawings and the written description are not intended to limit the scope of the inventive concept in any way, but to illustrate the inventive concept to those skilled in the art by referring to the specific embodiments.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present utility model more apparent, the technical solutions in the embodiments will be clearly and completely described with reference to the accompanying drawings in the embodiments of the present utility model, and the following embodiments are used to illustrate the present utility model, but are not intended to limit the scope of the present utility model.
In the description of the present utility model, it should be noted that the directions or positional relationships indicated by the terms "upper", "lower", "front", "rear", "left", "right", "vertical", "inner", "outer", etc. are based on the directions or positional relationships shown in the drawings, are merely for convenience of describing the present utility model and simplifying the description, and do not indicate or imply that the devices or elements referred to must have a specific orientation, be configured and operated in a specific orientation, and thus should not be construed as limiting the present utility model.
In the description of the present utility model, it should be noted that, unless explicitly specified and limited otherwise, the terms "mounted," "connected," and "connected" are to be construed broadly, and may be either fixedly connected, detachably connected, or integrally connected, for example; can be mechanically or electrically connected; can be directly connected or indirectly connected through an intermediate medium. The specific meaning of the above terms in the present utility model will be understood in specific cases by those of ordinary skill in the art.
As shown in fig. 1 to 2, the fan pitch state monitoring and abnormality identifying system provided by the utility model comprises a wind turbine generator monitoring device and a remote monitoring center system.
The wind turbine generator monitoring device is used for carrying out real-time monitoring and abnormality identification on variable pitch of the fan.
The remote monitoring center system is in communication connection with the wind turbine monitoring device and is used for remotely controlling and adjusting the wind turbine monitoring device.
The wind turbine generator monitoring device comprises an executing mechanism, a sensor module, a data processing module and a control module.
The actuating mechanism is connected with the fan variable pitch and is used for controlling the state of the fan variable pitch.
The sensor module is connected with the fan variable pitch and is used for acquiring state parameters of the fan variable pitch.
The data processing module is connected with the sensor module and is used for receiving parameters acquired by the sensor module, monitoring the variable pitch state of the fan through a preset algorithm, identifying abnormal data and sending the abnormal data to the remote monitoring center system.
The control module is used for receiving an instruction of the remote monitoring center system and controlling the variable pitch of the fan through the executing mechanism.
According to the utility model, the wind turbine generator monitoring device and the remote monitoring center system are arranged, the state data of the pitch system is collected in real time, the data analysis processing is carried out by utilizing the preset algorithm, the abnormality is accurately identified, the data can be sent to the monitoring center, the remote monitoring of the wind turbine generator is realized, meanwhile, the device can monitor the wind turbine generator, the necessary control operation can be carried out on the pitch system, and the remote monitoring efficiency and the real-time performance are improved.
Specifically, in the running process, the wind turbine generator monitoring device is connected with the fan variable pitch through the sensor module, so that state parameters of the fan variable pitch such as rotating speed, angle and current can be obtained in real time, then the data processing module receives the parameters obtained by the sensor module and analyzes the parameters in real time through a preset algorithm, when abnormal data (such as sudden drop of the rotating speed, abnormal fluctuation of the current and the like) are detected, the system can automatically identify and judge whether the abnormality occurs, once the abnormality is detected, the system sends the abnormal data to the remote monitoring center system, and meanwhile, the remote monitoring center system can also send instructions to the control module to control an executing mechanism and adjust the state of the fan variable pitch; finally, after receiving the instruction of the remote monitoring center system, the control module accurately controls the variable pitch of the fan through an actuating mechanism (such as an electric push rod, a servo motor and the like), such as angle adjustment, starting/stopping and the like.
Through above-mentioned operation process, this system can real-time supervision fan become the state of oar, carries out early warning and maintains before the trouble takes place, has reduced because of the down time that sudden failure leads to, combines remote monitoring and automatically regulated fan to become the state of oar, can realize optimizing wind turbine generator system's operating efficiency, improves whole generated energy effect, simultaneously, real-time supervision and unusual recognition function help in time to discover potential safety risk, prevent the incident that leads to because of equipment trouble, improves wind turbine generator system's safe and stable operation and maintenance efficiency.
Further, the wind turbine generator monitoring device further comprises a power module, a communication module, a first display module and a first storage module.
The power supply module is used for converting a direct current power supply of the wind turbine generator into stable voltage required by each module and providing continuous power support for the whole device and the system.
The communication module is connected with the data processing module and is used for receiving the data processed by the data processing module and sending the data to the remote monitoring center system in real time through the high-speed wireless communication network.
The first display module is used for displaying the state data of the variable propeller of the fan in real time.
The first storage module is used for storing historical data and configuration information.
The power module is responsible for converting the direct current power supply of the wind turbine into stable voltage required by each module, so that the power supply of the whole device and the system is continuous and stable, the communication module is connected with the data processing module, receives the processed data and sends the processed data to the remote monitoring center system in real time through the high-speed wireless communication network to realize remote monitoring, and the first display module can display the state data of the variable propeller of the fan in real time, provide visual information for field operators and facilitate quick understanding of the running state of the equipment; the first storage module is used for storing historical data and configuration information and improving subsequent data analysis and fault detection capabilities.
Further, the wind turbine generator system monitoring device further comprises a safety protection module, wherein the safety protection module is used for protecting the running state of the wind turbine generator system monitoring device, taking safety protection measures when abnormal conditions are detected, and sending early warning information to a remote monitoring center system through a communication module.
Through setting up safety protection module, the safety of wind turbine generator system monitoring devices under the unusual condition has been ensured, through timely taking the safeguard measure, can prevent that the device from receiving the harm, thereby ensure its steady operation, can prevent potential risk and trouble, through timely detection and response unusual condition, avoid potential safety hazard and equipment trouble, simultaneously, when unusual, send early warning information to remote monitoring center system rapidly through communication module, early warning and response ability of entire system have been improved, maintenance cost has been reduced, the risk of the incident that leads to because of equipment trouble or unusual condition has been reduced, the security of system operation in-process has been improved.
Further, the sensor module comprises a sensor probe, and the sensor probe is in non-contact connection with the variable pitch fan. The direct mechanical action on the variable pitch is reduced, the damage risk on the variable pitch is reduced, and the service life of the sensor probe is prolonged.
Wherein the power module: the model is PM-120, the specification and parameters are input voltage ranges of 9-36VDC, output voltages of 5V, 12V, 24V and the like are optional, the maximum output current is 5A, and the working principle is to convert a direct current power supply of the wind turbine generator into stable voltage required by each module, so that continuous power support is provided for the whole device and system.
A sensor module: the model is LV-200, the specification and the parameters are measuring range +/-200 degrees, the precision +/-0.2 degrees, the output signals are digital signals and analog signals, the working principle is that the state parameters of the variable pitch of the wind turbine generator, such as the variable pitch angle, the rotating speed, the current, the voltage and the like, and the environment parameters, such as the wind speed, the wind direction, the temperature, the humidity and the like, are detected in real time through a non-contact measuring mode (ultrasonic wave), and the data are sent to a data processing module.
And a data processing module: the model is DAM-300, the specification and the parameters are that the processor is Intel Core i9, the memory is 32GB DDR4, the storage is 1TB SSD, the working principle is that the data of the sensor module are received, the data are processed in real time through the high-speed processor, and the abnormality identification is carried out on the data by adopting a preset algorithm.
The method comprises the steps that a preset algorithm is an algorithm based on machine learning, monitoring and abnormal recognition of the state of a variable pitch system of the wind turbine are achieved, and processed data are sent to a communication module and a first display module.
And a communication module: the model is CBT-60, the specification and the parameters are that the transmission rate is 100Mbps in the downlink and 50Mbps in the uplink, the coverage radius is 100km, the working principle is that the processed data are received and sent to a remote monitoring center system in real time through a high-speed wireless communication network (such as 4G or 5G), and meanwhile, the instructions of a control module are received and sent to a sensor module and the control module.
And the control module is used for: the model is CTRL-600, the specification and the parameters are that the input interface is digital signals and analog signals, the output interface can drive the execution mechanism to act, the working principle is to receive an instruction of the remote monitoring center system, the control operation is carried out on the pitch of the wind turbine generator set through the execution mechanism according to the instruction, the control instruction comprises operations such as adjusting the pitch angle, stopping or starting the pitch system, and the like, and meanwhile, signals of the safety protection module are received and corresponding safety protection measures are taken.
A first display module: model DM-190W, specification and parameter are that the display size is 19 inches, resolution ratio 1080p, support touch operation, and theory of operation is that real-time display wind turbine generator system becomes the state data of oar, like becoming oar angle, rotational speed, electric current, voltage etc. and diagnosis result, like unusual type, reason, suggestion etc. is convenient for on-the-spot personnel observe and monitor.
A first storage module: model SDM-800T, specification and parameter are 1TB, support high-speed read-write operation, and the theory of operation is storage history data and configuration information, is convenient for follow-up analysis and troubleshooting. Meanwhile, log information of the security protection module is stored and used for security event tracing and auditing.
And a safety protection module: the model is SPM-100, the specification and the parameters are that the input interface is selected from digital signals and analog signals, the output interface can control the device and the system power supply or standby power supply, the working principle is that the operation states of the device and the system, such as voltage, current, temperature and the like, are monitored, and when abnormal conditions are detected, safety protection measures, such as cutting off the device and the system power supply or starting the standby power supply, are adopted, and early warning information is sent to a monitoring center through a communication module.
Further, the safety protection module comprises an abnormality detection unit, a safety protection unit and an early warning information generation unit.
The abnormality detection unit is used for monitoring the running state of the wind turbine generator monitoring device in real time and detecting whether an abnormality occurs.
The safety protection unit receives the feedback signal of the abnormality monitoring unit, and when the abnormality detection unit detects an abnormality, the safety protection unit takes corresponding safety protection measures.
The information generating unit is used for generating corresponding early warning information while taking safety protection measures and sending the corresponding early warning information to the remote monitoring center system through the communication module.
The running state of the wind turbine monitoring device is monitored in real time through the anomaly detection unit, data (such as temperature, pressure, speed and the like) of the wind turbine monitoring device are collected and compared with the normal range of the data, when an anomaly (such as a reading exceeding the normal range) is found, the safety protection unit immediately receives a feedback signal, potential safety hazards are avoided, the system is closed, standby power is started, early warning information is sent out and the like, meanwhile, the information generation unit generates detailed early warning information when safety protection measures are adopted, the type of anomaly, the occurrence time and the safety protection measures to be adopted are included, the information is sent to a remote monitoring center system through the communication module, the efficiency of fault processing and the intelligent level of the system are improved, the operation and maintenance cost is reduced, and the possibility of accidents is reduced.
Further, a fault prediction model is arranged in the abnormality detection unit and used for analyzing historical data and real-time data and predicting possible faults and abnormal conditions of the wind turbine generator monitoring device.
The abnormality detection unit is also provided with a health management model for evaluating and managing the health condition of the wind turbine monitoring device, providing corresponding maintenance suggestions and preventive measures, and sending the prediction result and health evaluation information to a remote monitoring center system through a communication module.
According to the method, the abnormality detection unit and the health management model are arranged in the abnormality detection unit, firstly, the abnormality detection unit collects historical data and real-time data, analyzes the data through the fault prediction model, predicts possible faults and abnormal conditions of the wind turbine monitoring device, and then evaluates the health condition of the wind turbine monitoring device through the health management model to give maintenance suggestions and preventive measures; finally, the prediction result and the health evaluation information are sent to a remote monitoring center system through a communication module, so that possible faults of the wind turbine generator monitoring device are predicted in advance, unplanned downtime is reduced, and the running efficiency of equipment is improved.
Further, the operating state includes: device temperature, current, voltage, operating state and behavior pattern of the device.
The safety measures include: shutting down the device, reducing power, and starting up the standby device.
The early warning information comprises: detailed description of the abnormal situation, time, place of occurrence and possible impact.
Further, the remote monitoring center system comprises a service module, an instruction module, a second display module and a second storage module.
The server module is in communication connection with the fan electric group monitoring devices and is used for receiving data and diagnosis results sent by the plurality of the fan electric group monitoring devices, carrying out centralized management and analysis, and realizing optimal control and operation and maintenance decision of the wind power plant by utilizing big data and artificial intelligence technology.
The instruction module is used for sending control instructions to the variable pitch state monitoring and abnormality identifying devices of the wind turbines according to the analysis result of the server module and the operation of operation and maintenance personnel.
The second display module is used for displaying the running state and the diagnosis result of the wind power plant in real time and providing a visual monitoring interface and a report.
The second storage module is used for storing historical data and configuration information of the wind power plant.
Specifically, in the running process, the collected data and diagnosis results are sent to a remote monitoring center system by a plurality of wind turbine generator monitoring devices, the service module performs centralized management and analysis after receiving the data, and the big data and artificial intelligence technology are utilized to perform optimal control and operation and maintenance decision of the wind power plant, so that the running efficiency and reliability of the wind power plant are improved; then, the command module can send control commands to the variable pitch state monitoring and abnormality identifying devices of the plurality of wind turbines according to actual needs, so as to realize remote control and adjustment of the plurality of wind turbines; finally, the second display module and the second storage module realize a visual monitoring interface, a report form and the storage of historical data and configuration information of the wind power plant, so that operation and maintenance personnel can conveniently know the running state and the diagnosis result of the wind power plant in real time, data support is provided for data analysis and historical traceability, and the intelligent level of the whole system is improved.
Wherein, the server module: the model is SM-500, the specification and the parameters are that the processor is Intel Xeon, the memory is 64GB DDR4, the storage is 10TB SSD, the working principle is that data and diagnosis results sent by a plurality of wind turbine generator pitch state monitoring devices are received, centralized management and analysis are carried out, and the optimal control and operation and maintenance decision of the wind farm are realized by utilizing big data and artificial intelligence technology.
An instruction module: the model is IM-400, the specification and the parameters are that the input interface is digital signals and analog signals, the output interface can send control instructions, and the working principle is that the control instructions are sent to a plurality of wind turbine generator pitch state monitoring devices according to the analysis result of the server module and the operation of operation and maintenance personnel, so that the remote control and adjustment of the wind turbine generator pitch are realized.
And a second display module: model DM-240W, specification and parameter are that the display size is 24 inches, resolution ratio 1080p, support touch operation, the theory of operation is for real-time display wind power plant's running state and diagnostic result, provides visual control interface and report form, be convenient for fortune dimension personnel observe and manage.
And a second storage module: model SDM-1000T, specification and parameter are 10TB, support high-speed read-write operation, and the theory of operation is historical data and configuration information of storage wind power plant, is convenient for follow-up analysis and troubleshooting. Meanwhile, log information of the remote monitoring center is stored and used for system event tracing and auditing.
The utility model also provides a specific implementation process of the fan variable pitch state monitoring and abnormality identifying system, wherein the process of the first embodiment comprises the following steps:
Step 1: the sensor module is designed and manufactured, and an ultrasonic sensor is arranged at a key part of the pitch system by adopting a non-contact measurement mode and is used for collecting state data of the pitch system in real time.
Step 2: the data processing module is designed and manufactured, a high-speed processor and a preset algorithm are adopted, data collected by the sensor module are received, analysis and processing are carried out through the preset algorithm, and abnormality is identified.
Step 3: and designing and manufacturing a communication module, and transmitting the processed data to a remote monitoring center by adopting a wireless communication mode and a 4G communication module.
Step 4: and designing and manufacturing a control module, receiving an instruction of a monitoring center, and controlling and operating the pitch system according to the instruction.
Embodiment two:
A fan variable pitch state monitoring and abnormality identifying system comprises the following steps:
Step 1: and installing a sensor module on a variable pitch system of the wind generating set, and collecting state data of the variable pitch system in real time.
Step 2: and transmitting the data acquired by the sensor module to a data processing module, analyzing and processing the data through a preset algorithm, and identifying the abnormality.
Step 3: and sending the processed data to a remote monitoring center to realize remote monitoring and management.
Step 4: and controlling the pitch system according to the instruction of the monitoring center to realize automatic control.
Embodiment III:
a setting method of a fan variable pitch state monitoring and abnormality identifying system comprises the following steps:
Step 1: materials and tools required, such as a sensor module, a data processing module, a communication module, a control module, etc., are prepared.
Step 2: the sensor module is arranged at a key part of the pitch system and is connected with the data transmission line.
Step 3: and connecting the data processing module with the sensor module, setting a preset algorithm and testing.
Step 4: and connecting the communication module with the data processing module, setting wireless communication parameters and testing.
Step 5: and connecting the control module with the data processing module, setting a control instruction and testing.
Step 6: the whole device is debugged and tested for performance, so that the normal operation of the whole device is ensured.
Through the embodiment, the fan pitch state monitoring and abnormality identifying system with strong real-time performance, high accuracy, strong remote monitoring capability, perfect control function and low cost can be prepared.
The above embodiments are merely examples, and may be adjusted and modified according to actual requirements in specific applications.
The foregoing description is only a preferred embodiment of the present utility model, and the present utility model is not limited to the above-mentioned embodiment, but is not limited to the above-mentioned embodiment, and any simple modification, equivalent change and modification made by the technical matter of the present utility model can be further combined or replaced by the equivalent embodiment without departing from the scope of the technical solution of the present utility model.
Claims (10)
1. The utility model provides a fan becomes oar state monitoring and unusual identification system which characterized in that includes:
The wind turbine generator monitoring device is used for carrying out real-time monitoring and abnormality identification on the variable pitch of the fan;
the remote monitoring center system is in communication connection with the wind turbine monitoring device and is used for remotely controlling and adjusting the wind turbine monitoring device;
The wind turbine generator monitoring device comprises:
The actuating mechanism is connected with the fan variable pitch and is used for controlling the state of the fan variable pitch;
The sensor module is connected with the fan variable propeller and used for acquiring state parameters of the fan variable propeller;
The data processing module is connected with the sensor module and is used for receiving the parameters acquired by the sensor module, monitoring the variable pitch state of the fan through a preset algorithm, identifying abnormal data and sending the abnormal data to the remote monitoring center system;
And the control module is used for receiving the instruction of the remote monitoring center system and controlling the variable pitch of the fan through the execution mechanism.
2. The fan pitch state monitoring and anomaly identification system of claim 1, wherein the wind turbine monitoring device further comprises:
The power module is used for converting a direct current power supply of the wind turbine generator into stable voltage required by each module and providing continuous power support for the whole device and the system;
The communication module is connected with the data processing module and is used for receiving the data processed by the data processing module and sending the data to the remote monitoring center system in real time through the high-speed wireless communication network;
The first display module is used for displaying the variable-pitch state data of the fan in real time;
And the first storage module is used for storing the historical data and the configuration information.
3. The fan pitch state monitoring and anomaly identification system of claim 2, wherein the wind turbine monitoring device further comprises:
And the safety protection module is used for protecting the running state of the fan group monitoring device, taking safety protection measures when abnormal conditions are detected, and sending early warning information to the remote monitoring center system through the communication module.
4. A fan pitch state monitoring and anomaly identification system as claimed in claim 3, wherein the safety protection module comprises:
The abnormal detection unit is used for monitoring the running state of the wind turbine generator monitoring device in real time and detecting whether an abnormal condition occurs;
The safety protection unit receives the feedback signal of the abnormality monitoring unit, and when the abnormality detection unit detects an abnormality, the safety protection unit takes corresponding safety protection measures;
The information generating unit is used for generating corresponding early warning information while taking safety protection measures and sending the early warning information to the remote monitoring center system through the communication module.
5. The system for monitoring and identifying the abnormal state of the variable pitch of the wind turbine according to claim 4, wherein the abnormality detection unit is provided with a fault prediction model for analyzing historical data and real-time data to predict possible faults and abnormal conditions of the wind turbine monitoring device.
6. The system for monitoring and identifying abnormal conditions of variable pitch of a wind turbine according to claim 5, wherein the abnormality detection unit is further provided with a health management model for evaluating and managing health conditions of the wind turbine monitoring device, providing corresponding maintenance suggestions and preventive measures, and transmitting the prediction results and health evaluation information to the remote monitoring center system through the communication module.
7. The fan pitch state monitoring and anomaly identification system of claim 4, wherein the operating state comprises: device temperature, current, voltage, and operating state and behavior pattern of the device;
The safety protection measures include: shutting down the device, reducing power, and starting up the standby device;
The early warning information comprises: detailed description of the abnormal situation, time, place of occurrence and possible impact.
8. The fan pitch state monitoring and anomaly identification system of claim 1, wherein the remote monitoring center system comprises:
And the server module is in communication connection with the fan electric group monitoring devices and is used for receiving data and diagnosis results sent by the plurality of wind turbine group monitoring devices, carrying out centralized management and analysis, and realizing optimal control and operation and maintenance decision of the wind power plant by utilizing big data and artificial intelligence technology.
9. The fan pitch state monitoring and anomaly identification system of claim 8, wherein the remote monitoring center system further comprises:
The instruction module is used for sending control instructions to the variable pitch state monitoring and abnormality identifying devices of the plurality of wind turbines according to the analysis result of the server module and the operation of operation and maintenance personnel;
The second display module is used for displaying the running state and the diagnosis result of the wind power plant in real time and providing a visual monitoring interface and a report;
and the second storage module is used for storing historical data and configuration information of the wind power plant.
10. The fan pitch state monitoring and anomaly identification system of claim 1, wherein the sensor module comprises a sensor probe, the sensor probe being in non-contact connection with the fan pitch.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202420176176.1U CN221547196U (en) | 2024-01-24 | 2024-01-24 | Fan variable pitch state monitoring and abnormality identification system |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202420176176.1U CN221547196U (en) | 2024-01-24 | 2024-01-24 | Fan variable pitch state monitoring and abnormality identification system |
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| CN221547196U true CN221547196U (en) | 2024-08-16 |
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| CN202420176176.1U Active CN221547196U (en) | 2024-01-24 | 2024-01-24 | Fan variable pitch state monitoring and abnormality identification system |
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| CN (1) | CN221547196U (en) |
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