New energy wind power monitoring system and method, equipment and storage medium

Abstract

The invention discloses a new energy wind power monitoring system and method, equipment and a storage medium, and belongs to the technical field of new energy wind power monitoring. A sensor module of the system is used for collecting natural environment parameters and equipment operation data of a wind power system; the data acquisition and preprocessing unit is used for summarizing and preprocessing data, and transmitting the preprocessed data to the data processing and analysis center through a data transmission module in a mixed transmission mode; the data processing and analyzing center stores and analyzes the data; the early warning and alarm module triggers early warning or alarm according to the analysis result; the remote control and management platform is used for displaying the equipment state, monitoring data and early warning information and providing a remote operation interface; the system compatibility and expansion interface is used for being in butt joint with different types of wind turbine generators and management systems and supporting function expansion. The monitoring data of the system is comprehensive, and the system has relatively accurate and effective operation and maintenance real-time performance and early warning timeliness, has certain compatibility, and is convenient for operation and maintenance control and decision making.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of new energy wind power monitoring, and particularly relates to a new energy wind power monitoring system, method, device and storage medium. BACKGROUND

[0002] Under the background of current energy structure transformation, as an important part of clean and renewable energy, the installed capacity and power generation of new energy wind power continue to grow. However, the wind power system is in a complex and changeable environment, often affected by natural factors such as strong wind, lightning and sudden temperature change, and the equipment itself also has problems such as wear and aging, which may cause wind turbine faults and affect the power generation efficiency and safety.

[0003] As an improvement, there are many wind power monitoring systems that monitor and maintain wind power through signal collection and processing. However, the existing wind power monitoring systems have some shortcomings, such as single monitoring parameter, mainly focusing on basic data such as wind speed and power generation, which cannot fully reflect the equipment operating state; poor real-time data transmission, when the equipment is abnormal, the information cannot be transmitted to the operation and maintenance personnel in time, and the best maintenance opportunity is easily missed; weak early warning capability, only alarm after failure occurs, and cannot predict potential failure in advance; and poor compatibility of monitoring systems in different wind farms, non-uniform data format, which is not conducive to centralized management and data analysis; these problems relatively restrict the efficient and stable development of wind power industry to some extent. Therefore, in summary, the current wind power monitoring system cannot fully reflect the equipment operating state, cannot accurately transmit information to the operation and maintenance personnel in time, and cannot predict potential failure in advance; and the compatibility of the system is poor, which is not conducive to subsequent centralized control and data analysis. SUMMARY

[0004] The application provides a new energy wind power monitoring system, method, device and storage medium, which aims to solve the problems of the current wind power monitoring system, which cannot fully reflect the equipment operating state, cannot accurately transmit information to the operation and maintenance personnel in time, and cannot predict potential failure in advance; and the compatibility of the system is poor, which is not conducive to subsequent centralized control and data analysis.

[0005] To achieve the above purpose, the application adopts the following technical scheme: The application provides a new energy wind power monitoring system, which comprises a sensor module, a data acquisition and preprocessing unit, a data transmission module, a data processing and analysis center, a warning and alarm module, a remote control and management platform, and a system compatibility and expansion interface. The sensor module is used to collect natural environment parameters and equipment operation data of the wind power system; the data collection and preprocessing unit is connected with the sensor module, and is used to collect and preprocess the natural environment parameters and the equipment operation data collected by the sensor module; and the data transmission module is connected with the data collection and preprocessing unit, and is used to transmit the preprocessed natural environment parameters and equipment operation data to the data processing and analysis center through a hybrid transmission mode. The data processing and analysis center is used to store data and perform data analysis; the early warning and alarm module can be linked with the data processing and analysis center, and is used to trigger early warning or alarm according to the analysis result; the remote control and management platform is used to display equipment states, monitoring data and early warning information, and provides a remote operation interface; and the system compatibility and expansion interface is used to connect different types of wind turbines and management systems, and can support function expansion.

[0006] In some embodiments, the sensor module comprises an environment sensor, an equipment state sensor and an image sensor; wherein: The environment sensor is used to monitor wind speed, wind direction, temperature, humidity, air pressure, rainfall and lightning activity; the equipment state sensor is used to obtain the rotation speed, vibration, temperature of key components, oil level, oil pressure, voltage and current of the wind turbine in real time; and the image sensor is used to capture the appearance state of the wind wheel blades and the tower through a camera.

[0007] In some embodiments, the data collection and preprocessing unit adopts a high-speed data collection chip, and the data collection and preprocessing unit can perform filtering, calibration and format conversion operations on the collected data.

[0008] In some embodiments, the data transmission module adopts a hybrid transmission mode of wired and wireless; The wired transmission adopts an industrial Ethernet, the wireless transmission adopts a 5G or 4G network, and the data transmission module can perform data encryption.

[0009] In some embodiments, the data processing and analysis center performs data mining through a machine learning or deep learning model, specifically including: establishing an equipment operation state evaluation model to compare real-time data with historical data; using a fault diagnosis algorithm to determine the fault type, location and severity; and predicting potential faults through a prediction model.

[0010] In some embodiments, the early warning and alarm module sets different alarm levels according to the fault severity, and sends early warning information through SMS, email, system pop-up window or sound and light alarm; the remote control and management platform provides an operation interface for remotely starting and stopping the wind turbine, adjusting the operation parameters, and generates a power generation statistics report, a fault statistics report and a maintenance record report.

[0011] In some embodiments, the system is compatible with an extension interface supporting Modbus or OPC UA communication protocols.

[0012] The application further provides a new energy wind power monitoring method, which is based on the new energy wind power monitoring system and comprises the following steps: S1, the sensor module collects natural environment parameters and equipment operation data of the wind power system and uploads them to the data acquisition and preprocessing unit; the data acquisition and preprocessing unit aggregates and pre-processes the natural environment parameters and equipment operation data, and transmits the pre-processed natural environment parameters and equipment operation data to the data processing and analysis center through a hybrid transmission mode through the data transmission module; The system compatibility and extension interface is used to connect different types of wind turbine generators and management systems, and supports function extension; the remote control and management platform provides a remote operation interface. S2, the data processing and analysis center is used to store data and perform data analysis; the early warning and alarm module is linked with the data processing and analysis center, and is used to trigger early warning or alarm according to the analysis result; the remote control and management platform is used to display equipment state, monitoring data and early warning information, so as to provide real-time monitoring data.

[0013] The application further provides a computer device, which comprises a memory, a processor and a computer program stored in the memory and executable on the processor, and the processor implements the steps of the new energy wind power monitoring method when executing the computer program.

[0014] The application further provides a computer readable storage medium, which stores a computer program, and the computer program is executed by the processor to implement the steps of the new energy wind power monitoring method.

[0015] Compared with the prior art, the new energy wind power monitoring system and method, device and storage medium have the following beneficial effects: The new energy wind power monitoring system of the present application realizes all-around monitoring of the natural environment and the equipment operation state through various types of sensors, covers all aspects where problems may occur in the wind power system, provides comprehensive data support for safe and stable operation of the equipment, and realizes relatively comprehensive monitoring; the system adopts a high-speed data acquisition chip and a hybrid transmission mode, ensures the real-time performance of data from acquisition, transmission to analysis and processing, enables the operation and maintenance personnel to timely grasp the equipment operation state, quickly respond to abnormal conditions, and has strong real-time performance; the system of the present application uses big data analysis and artificial intelligence algorithms, can not only alarm after a fault occurs, but also predict potential faults in advance, and the early warning information is detailed, which helps the operation and maintenance personnel to take targeted measures and reduce the failure rate and maintenance cost. In addition, the system of the present application supports various communication protocols through standardized interfaces, and can be connected with wind turbines and management systems of different types and brands, realizes centralized management, improves the compatibility of the system, and makes the system have good versatility and applicability; the remote control and management platform of the system of the present application provides an intuitive operation interface and rich data statistical analysis functions, facilitates remote operation of the operation and maintenance personnel and formulating reasonable operation and maintenance plans, investment decisions and the like by the management personnel, is convenient for management and decision-making, and has good engineering applicability.

[0016] The computer device of the present application can efficiently realize the steps of the method of the present application by executing a specific computer program through a processor, and can accurately perform numerical calculation and logical judgment when performing a data processing task, so as to ensure the accuracy and consistency of the data processing result. The computer readable storage medium of the present application programs the steps of the method of the present application into a computer program and stores it on the computer readable storage medium, so that the user can easily load these programs onto any compatible computer device and execute them without the need to reprogram or convert the code, thereby improving the convenience and flexibility of program execution. BRIEF DESCRIPTION OF DRAWINGS

[0017] The accompanying drawings are included to provide a further understanding of the present application, and constitute a part of the present application. The schematic embodiments of the present application and their descriptions are used to explain the present application, and do not constitute an improper limitation on the present application.

[0018] Figure 1 The figure is a schematic diagram of the system framework in the new energy wind power monitoring system of the present application. DETAILED DESCRIPTION

[0019] In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the following will be combined with the accompanying drawings for clear and complete description of the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. The components of the embodiments of the present application described and shown in the accompanying drawings can be arranged and designed in various different configurations.

[0020] Therefore, the following detailed description of the embodiments of the present application provided in the accompanying drawings is not intended to limit the scope of the claimed application, but only represents selected embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative work are within the scope of protection of the present application.

[0021] It should be noted that, in this document, the terms "comprise", "comprising", or any other variant thereof are intended to cover non-exclusive inclusion, so that a process, method, article, or apparatus that includes a list of elements not only includes those elements, but also includes other elements not expressly listed or inherent to such process, method, article, or apparatus. Without more limitations, the element defined by the statement "comprises a" does not exclude the presence of additional identical elements in the process, method, article, or apparatus that includes the element.

[0022] It should be noted that the devices and methods disclosed in the embodiments herein can also be implemented in other ways. The device embodiments described above are only illustrative, for example, the flowcharts and block diagrams in the accompanying drawings show the possible implementation architecture, function and operation of the devices, methods and computer program products according to the embodiments herein. In this regard, each block in the flowchart or block diagram can represent a module, program segment or part of code, which includes one or more executable instructions for implementing the specified logical function, and which includes one or more executable instructions for implementing the specified logical function. It should also be noted that in some alternative implementations, the functions noted in the blocks can occur in different orders from that shown in the accompanying drawings. For example, two consecutive blocks can actually be executed substantially in parallel, and sometimes they can be executed in reverse order, depending on the functions involved. It should also be noted that each block in the block diagram and / or flowchart, and the combination of blocks in the block diagram and / or flowchart, can be implemented by a dedicated hardware-based system for performing the specified functions or actions, or can be implemented by a combination of dedicated hardware and computer instructions.

[0023] In addition, each functional module in each embodiment herein can be integrated together to form an independent part, or each module can exist independently, or two or more modules can be integrated to form an independent part.

[0024] How to provide a new energy wind power monitoring system with comprehensive functions, strong real-time performance, accurate early warning and good compatibility, so as to improve the accuracy and reliability of new energy wind power monitoring.

[0025] As shown in Figure 1 The present application provides a new energy wind power monitoring system, comprising a sensor module, a data acquisition and preprocessing unit, a data transmission module, a data processing and analysis center, an early warning and alarm module, a remote control and management platform, and a system compatibility and expansion interface; wherein: The sensor module is used for collecting natural environment parameters and equipment operation data of the wind power system; the data acquisition and preprocessing unit is connected to the sensor module and is used for aggregating and preprocessing the natural environment parameters and equipment operation data collected by the sensor module; the data transmission module is connected to the data acquisition and preprocessing unit and is used for transmitting the preprocessed natural environment parameters and equipment operation data to the data processing and analysis center through a hybrid transmission mode; The data processing and analysis center is used for storing data and performing data analysis; the early warning and alarm module can be linked with the data processing and analysis center and is used for triggering early warning or alarm according to the analysis result; the remote control and management platform is used for displaying equipment status, monitoring data and early warning information and providing a remote operation interface; the system compatibility and expansion interface is used for interfacing different types of wind turbine generators and management systems and can support function expansion.

[0026] The new energy wind power monitoring system of the present application realizes global data coverage capability through building a complete closed-loop monitoring architecture and modularized function cooperation, realizes end-to-end collection, transmission and analysis of natural environment parameters and equipment operation data through integrating the sensor module, the data acquisition unit, the transmission module and the processing center, and eliminates the monitoring blind area. The preprocessing unit of the system filters and calibrates the original data, ensuring the input quality; the hybrid transmission module with wired and wireless transmission is adopted to adapt to different scene transmission requirements; the processing center uniformly stores and analyzes the data, avoiding data fragmentation; the early warning module is linked with the processing center in real time, shortening the response link and improving the operation efficiency. The system compatibility and expansion interface of the system provides standardized interfacing capability, reserving technical foundation for accessing multiple brands of wind turbines or future function upgraded equipment, and improves the adaptability.

[0027] Further, the environmental sensor of the system can monitor external risk factors such as weather and lightning; the equipment state sensor captures mechanical and electrical operation parameters; the image sensor identifies physical damage, realizing relatively comprehensive monitoring and then accurately locating the fault inducement.

[0028] The system compatibility and expansion interface of this invention supports Modbus or OPC UA communication protocols, ensuring seamless data interoperability with mainstream wind turbines, and is expected to build a global monitoring network across brands and parameters.

[0029] The system of this invention uses a high-speed acquisition chip to ensure the capture of high-frequency data such as millisecond-level vibrations. The filtering, calibration and format conversion operations of this invention can improve data reliability and consistency. By combining status assessment with historical data, it can identify hidden anomalies, predict the probability of failure and time window, and thus achieve accurate prediction driven by high-quality data, thereby improving the quality of operation and maintenance.

[0030] Furthermore, the system of this invention ensures highly reliable transmission of core equipment by employing industrial Ethernet, covers remote units via 5G / 4G, and uses encryption technology to prevent data tampering or leakage. The system pushes alarms according to fault levels, reduces on-site intervention costs through remote start / stop or parameter adjustment, and quantifies data through automatic report generation, thereby improving the real-time performance and security of system operation and maintenance.

[0031] This invention also provides a method for monitoring new energy wind power, which is based on the above-mentioned new energy wind power monitoring system and includes the following steps: S1. The sensor module collects the natural environmental parameters and equipment operation data of the wind power system and uploads them to the data acquisition and preprocessing unit. The data acquisition and preprocessing unit summarizes and preprocesses the natural environmental parameters and equipment operation data, and transmits the preprocessed natural environmental parameters and equipment operation data to the data processing and analysis center through the data transmission module using a hybrid transmission method. The system compatibility and expansion interface is used to connect to different types of wind turbines and management systems, and supports functional expansion; the remote control and management platform provides a remote operation interface. S2, the data processing and analysis center is used to store data and perform data analysis; the early warning and alarm module is linked with the data processing and analysis center to trigger early warnings or alarms based on the analysis results; the remote control and management platform is used to display equipment status, monitoring data and early warning information to provide real-time monitoring data.

[0032] The present invention also provides a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps of the above-described new energy wind power monitoring method.

[0033] The present invention also provides a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the steps of the above-described new energy wind power monitoring method.

[0034] The new energy wind power monitoring system and method, device, and storage medium of the present application will be further described in detail below through specific embodiments.

[0035] The system of the present application is as follows: The sensor module contains various types of sensors for comprehensive collection of operating parameters of the wind power system. The environmental sensor can monitor natural environmental parameters such as wind speed, wind direction, temperature, humidity, air pressure, rainfall, and lightning activity; the equipment state sensor can obtain real-time data of the equipment operation such as the speed of the wind turbine generator, vibration, temperature, oil level, oil pressure, voltage, current, and other key components including the generator, gear box, bearing, etc.; in addition, the sensor module is also equipped with an image sensor, which captures the appearance damage, icing, and other conditions through real-time shooting of the wind wheel blades, tower, etc. by a high-definition camera.

[0036] The data acquisition and preprocessing unit is connected with the sensor module, responsible for summarizing the analog signals and digital signals collected by each sensor. The data acquisition and preprocessing unit uses a high-speed data acquisition chip to ensure the timeliness and accuracy of data acquisition. At the same time, the data acquisition and preprocessing unit pre-processes the collected data, including operations such as noise interference removal filtering, sensor error elimination calibration, and format conversion of data from different types of sensors into a standard format, laying a foundation for subsequent data transmission and analysis.

[0037] The data transmission module adopts a hybrid transmission mode combining wireless and wired transmission. Within the wind farm, for equipment with close distance, industrial Ethernet and other wired transmission methods are used to ensure the stability and large capacity of data transmission; for wind turbine generators with scattered distribution, 5G / 4G wireless network is used for data transmission to realize real-time uploading of remote data. To ensure the security of data transmission, the module also has data encryption function to prevent data from being stolen or tampered during transmission.

[0038] The data processing and analysis center is composed of high-performance servers and professional data analysis software. The server is responsible for storing the massive data transmitted and performing data classification management. The data analysis software uses artificial intelligence algorithms such as big data analysis, machine learning, and deep learning models to deeply mine the data. By establishing an equipment operation state evaluation model, the real-time monitoring data is compared and analyzed with historical data and normal operation threshold to determine whether the equipment is abnormal; by using fault diagnosis algorithms, the fault type, location, and severity are determined; by means of prediction models, possible faults can be predicted in advance according to the equipment operation trend and wear law.

[0039] The early warning and alarm module is linked with the data processing and analysis center, when the data analysis finds that the equipment parameters are out of the normal range or predicts potential failure, the module immediately starts the early warning or alarm function. The early warning information includes the failure type, the possible occurrence time, the influence range, etc., and is sent to the operation and maintenance personnel and the monitoring center through various ways such as short message, email, system pop-up window, sound and light alarm, so that timely measures are taken. At the same time, the module can set different alarm levels according to the severity of the failure, and the emergency failure is processed preferentially.

[0040] In the system of the application, the remote control and management platform provides an intuitive and convenient operation interface for the operation and maintenance personnel, and can display the running state, monitoring data, early warning information, etc. of the wind turbine in real time. The operation and maintenance personnel can remotely view the detailed parameters and image information of the equipment through the remote control and management platform, and remotely control some equipment, such as starting or stopping the wind turbine, adjusting the running parameters, etc. In addition, the remote control and management platform also has data statistics and report generation functions, and can automatically generate power generation statistics, failure statistics, maintenance records, etc. reports, providing data support for the management decision of the wind farm.

[0041] The system compatibility and expansion interface of the system of the application is designed with a standardized interface to support Modbus, OPC UA and other communication protocols for the connection with wind turbines of different brands and different models and other wind farm management systems. At the same time, sufficient expansion interfaces are reserved to facilitate the addition of sensor types, expansion of monitoring range or integration of new functional modules according to the development needs of the wind farm.

[0042] The application is described with reference to flowcharts and / or block diagrams of the method, device (system), and computer program product according to the embodiments of the application, and it should be understood that each flow and / or block in the flowcharts and / or block diagrams, and the combination of the flows and / or blocks in the flowcharts and / or block diagrams can be realized by computer program instructions. These computer program instructions can also be stored in a computer readable memory to guide the computer or other programmable data processing device to work in a specific way, so that the instructions stored in the computer readable memory produce a product including instruction means, which realizes the functions specified in the flowcharts Figure 1 one flow or multiple flows and / or blocks Figure 1 one block or multiple blocks.

[0043] These computer program instructions can also be loaded into the computer or other programmable data processing device to make a series of operation steps on the computer or other programmable device to produce a computer implemented process, so that the instructions executed on the computer or other programmable device provide a product for realizing the functions specified in the flowcharts Figure 1 one flow or multiple flows and / or blocks Figure 1steps of the functions specified in the one or more blocks.

[0044] Finally, it should be noted that the above-described embodiments are merely possible implementations of the present application, and are not intended to limit the present application in any form. Any person skilled in the art can easily implement the present application according to the description and the above-described embodiments, and equivalent changes, modifications and evolution made by using the disclosed technical content are equivalent embodiments of the present application. Meanwhile, any equivalent changes, modifications and evolution made according to the essential technology of the present application are still within the protection scope of the technical solutions of the present application.

Claims

1. A new energy wind power monitoring system, characterized in that, It includes a sensor module, a data acquisition and preprocessing unit, a data transmission module, a data processing and analysis center, an early warning and alarm module, a remote control and management platform, and system compatibility and expansion interfaces; among which: The sensor module is used to collect natural environmental parameters and equipment operation data of the wind power system; the data acquisition and preprocessing unit is connected to the sensor module and is used to summarize and preprocess the natural environmental parameters and equipment operation data collected by the sensor module; the data transmission module is connected to the data acquisition and preprocessing unit and is used to transmit the preprocessed natural environmental parameters and equipment operation data to the data processing and analysis center through a hybrid transmission method. The data processing and analysis center is used to store data and perform data analysis; the early warning and alarm module can be linked with the data processing and analysis center to trigger early warnings or alarms based on the analysis results; the remote control and management platform is used to display equipment status, monitoring data and early warning information, and provides a remote operation interface; the system compatibility and expansion interface is used to connect to different types of wind turbines and management systems, and can support functional expansion.

2. The new energy wind power monitoring system according to claim 1, characterized in that, The sensor module includes an environmental sensor, a device status sensor, and an image sensor; wherein: Environmental sensors are used to monitor wind speed, wind direction, temperature, humidity, air pressure, rainfall, and lightning activity; equipment status sensors are used to acquire real-time data on wind turbine speed, vibration, temperature of key components, oil level, oil pressure, voltage, and current; and image sensors are used to capture images of the wind turbine blades and tower using cameras.

3. The new energy wind power monitoring system according to claim 1, characterized in that, The data acquisition and preprocessing unit uses a high-speed data acquisition chip, which can perform filtering, calibration, and format conversion operations on the acquired data.

4. The new energy wind power monitoring system according to claim 1, characterized in that, The data transmission module adopts a hybrid wired and wireless transmission method; The wired transmission uses industrial Ethernet, the wireless transmission uses 5G or 4G networks, and the data transmission module can perform data encryption.

5. The new energy wind power monitoring system according to claim 1, characterized in that, The data processing and analysis center performs data mining through machine learning or deep learning models, specifically including: Establish an equipment operation status assessment model to compare real-time data with historical data; use fault diagnosis algorithms to determine fault type, location, and severity; and predict potential faults using a predictive model.

6. The new energy wind power monitoring system according to claim 1, characterized in that, The early warning and alarm module sets different alarm levels according to the severity of the fault and sends early warning information through SMS, email, system pop-up or audible and visual alarms; the remote control and management platform provides an operation interface for remotely starting and stopping wind turbines and adjusting operating parameters, and generates power generation statistics, fault statistics and maintenance record reports.

7. The new energy wind power monitoring system according to claim 1, characterized in that, The system is compatible with and supports Modbus or OPC UA communication protocols through its expansion interface.

8. A method for monitoring new energy wind power, characterized in that, The method is based on the new energy wind power monitoring system according to any one of claims 1-7, and includes the following steps: S1. The sensor module collects the natural environmental parameters and equipment operation data of the wind power system and uploads them to the data acquisition and preprocessing unit. The data acquisition and preprocessing unit summarizes and preprocesses the natural environmental parameters and equipment operation data, and transmits the preprocessed natural environmental parameters and equipment operation data to the data processing and analysis center through the data transmission module using a hybrid transmission method. The system compatibility and expansion interface is used to connect to different types of wind turbines and management systems, and supports functional expansion; the remote control and management platform provides a remote operation interface. S2, the data processing and analysis center is used to store data and perform data analysis; the early warning and alarm module is linked with the data processing and analysis center to trigger early warnings or alarms based on the analysis results; the remote control and management platform is used to display equipment status, monitoring data and early warning information to provide real-time monitoring data.

9. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the steps of the new energy wind power monitoring method as described in claim 8.

10. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by the processor, it implements the steps of the new energy wind power monitoring method as described in claim 8.

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