Fan oil monitoring system, monitoring method and application thereof
The fan oil monitoring system, which combines composite sensors with a cloud platform, solves the problems of high complexity, high cost, susceptibility to external environmental influences, and poor accuracy in existing technologies, and achieves simple, easy-to-operate, and accurate oil monitoring.
Patent Information
- Application Number
- CN202510765334.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-06-10
- Publication Date
- 2025-10-10
AI Technical Summary
Existing fan oil monitoring systems are highly complex, costly, easily affected by the external environment, and have poor accuracy.
The monitoring system combines composite sensors with a cloud platform, including data acquisition, processing, analysis, and control management, noise reduction processing using a data optimization module, remote monitoring and control, combined with a fault diagnosis and prediction optimization module, and setting thresholds to trigger alarms.
The monitoring process is simple and easy to operate, the results are accurate, and it is not easily affected by external interference, which reduces the complexity and cost of the system and improves the accuracy and stability of monitoring.
Smart Images
Figure CN120760780A_ABST
Abstract
Description
Technical Field
[0001] The present application belongs to the field of energy and power technology, and in particular relates to a fan oil monitoring system, a monitoring method and applications thereof. Background Art
[0002] Oil monitoring of the main gearbox of a wind turbine (abbreviated as wind turbine) is extremely important. Oil has multiple functions such as lubrication, cooling, cleaning and corrosion prevention. For example, wear, failure or abnormality of the internal components of the main gearbox (such as gears and bearings) or lubrication system will be directly reflected in changes in the physical properties (such as viscosity, moisture, particulate matter) or chemical composition (such as additive content, metal elements) of the oil. By monitoring the oil status, potential problems can be discovered in advance, major failures can be avoided, and the safe operation of the wind turbine can be ensured.
[0003] The current online oil monitoring systems and methods for fan main gearboxes on the market have the following problems when applied: traditional online oil monitoring systems for fan main gearboxes are highly complex, which leads to difficulties in installation, debugging and maintenance of the system, increases the difficulty and cost of operation, and makes data processing and analysis difficult; the purchase cost of online oil monitoring systems for fan main gearboxes is usually high, and the system needs to integrate multiple high-precision sensors, data acquisition equipment, data processing software and other components. If the system fails or needs maintenance, corresponding human and material resources are also required, and the maintenance cost is high; the online oil monitoring system for fan main gearboxes will be affected by environmental factors such as temperature, pressure, and humidity, which will affect the accuracy and reliability of the online monitoring system, and contamination and impurities in the oil may also interfere with the online monitoring system; the accuracy of the monitoring results of the online oil monitoring system for fan main gearboxes will be affected by the life and stability of the sensor.
[0004] Therefore, a fan oil monitoring system, monitoring method and application thereof have been developed to solve the technical defects of the existing technology, such as high complexity, high cost, susceptibility to external environmental influences and poor accuracy of the fan oil monitoring system, which has become an urgent problem to be solved by technical personnel in this field. Summary of the Invention
[0005] Based on this, it is necessary to address the technical defects of the fan oil monitoring system in existing technologies, such as high complexity, high cost, susceptibility to external environmental influences and poor accuracy.
[0006] The present application provides a wind turbine oil monitoring system, the monitoring system comprising: a composite sensor, an edge device, and a cloud platform, the cloud platform comprising: any one or more of: a data acquisition and storage component, a data processing and analysis component, a central control management component, an operation status analysis component, and an equipment early warning analysis component;
[0007] The composite sensor is arranged on the edge device, the composite sensor is electrically connected to the cloud platform, and the cloud platform is electrically connected to the edge device to control the start and stop of the edge device.
[0008] In one embodiment, the data processing and analysis component further includes a data optimization module.
[0009] In one embodiment, the central control management component includes: a remote monitoring module and a remote control module.
[0010] In one embodiment, the remote monitoring module is electrically connected to an external display module.
[0011] In one embodiment, the operating status analysis component includes: a fault diagnosis module and a prediction optimization module.
[0012] In one embodiment, the device early warning analysis component includes: a threshold setting component and an alarm notification component.
[0013] The present application also provides a monitoring method for a fan oil monitoring system including any one of the above, the monitoring method comprising:
[0014] S1, data collection and storage, after collecting data, the collected data is collected and stored;
[0015] S2, data processing and analysis, analyze and optimize the stored data;
[0016] S3, control and management, control and manage the fan based on the optimized data;
[0017] S4. Analyzing the equipment operating status: identifying equipment failure modes and characteristics and performing fault diagnosis based on the results of the data processing and analysis and the control management, and outputting a maintenance plan based on the optimized data;
[0018] S5. Equipment early warning analysis: comparing the optimized data with the preset data. If it exceeds or falls below the preset threshold, an alarm or early warning is triggered.
[0019] In one embodiment, in S2, the data processing and analysis further includes: any one or more of data cleaning, data denoising, and data filtering.
[0020] In one embodiment, in S5, the equipment early warning analysis further includes: early warning prediction, which predicts the type and time of possible future equipment failures based on historical data and real-time data.
[0021] The present application also provides an application of any one of the above-mentioned wind turbine oil monitoring systems or any one of the above-mentioned monitoring methods in wind power generation equipment.
[0022] In summary, the present application provides a wind turbine oil monitoring system, including: a composite sensor, an edge device and a cloud platform, the cloud platform including: any one or more of a data acquisition and storage component, a data processing and analysis component, a central control management component, an operation status analysis component and an equipment early warning analysis component; the composite sensor is arranged on the edge device, the composite sensor is electrically connected to the cloud platform, and the cloud platform is electrically connected to the edge device for controlling the start and stop of the edge device. The present application also provides a monitoring method for the above-mentioned wind turbine oil monitoring system, including: data acquisition and storage, data processing and analysis, control management, equipment operation status analysis and equipment early warning analysis. The present application also provides an application of a wind turbine oil monitoring system including any one of the above items or a monitoring method including any one of the above items in wind power generation equipment. The present application provides a fan oil monitoring system, monitoring method and application thereof. After collecting data through a composite sensor, the data is further processed, analyzed and optimized through a cloud platform. After analyzing the optimized data, the edge equipment is controlled and managed. The entire monitoring process is simple and easy to operate, and the monitoring results are accurate and not easily affected by external interference. This solves the technical defects of the existing technology, namely, the fan oil monitoring system has high complexity, high cost, susceptibility to external environmental influences and poor accuracy. BRIEF DESCRIPTION OF THE DRAWINGS
[0023] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are merely embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on the provided drawings without any creative work.
[0024] Figure 1 In the technical solution provided in the embodiment of the present application, a structural diagram of a fan oil monitoring system;
[0025] Figure 2 A schematic flow chart of a fan oil monitoring method in the technical solution provided in the embodiment of the present application;
[0026] Figure 3 A schematic diagram of the workflow of the cloud platform in the technical solution provided in the embodiment of this application;
[0027] Among them, there are a composite sensor 1 and an edge device 2. DETAILED DESCRIPTION
[0028] The embodiments of the present application provide a fan oil monitoring system, a monitoring method and applications thereof, which are used to address the technical defects of the prior art fan oil monitoring system, such as high complexity, high cost, susceptibility to external environmental influences and poor accuracy.
[0029] To make the above-mentioned objects, features, and advantages of the present application more clearly understood, the specific embodiments of the present application are described in detail below with reference to the accompanying drawings. The following description sets forth many specific details to facilitate a full understanding of the present application. However, the present application can be implemented in many other ways than those described herein, and those skilled in the art can make similar improvements without violating the scope of the present application. Therefore, the present application is not limited to the specific embodiments disclosed below.
[0030] In the description of the present application, it should be understood that the terms "center", "longitudinal", "lateral", "length", "width", "thickness", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", "clockwise", "counterclockwise", "axial", "radial", "circumferential" and the like indicate orientations or positional relationships based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as a limitation on the present application.
[0031] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of the technical features being referred to. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of such features. Throughout the description of this application, "plurality" means at least two, for example, two, three, etc., unless otherwise specifically defined.
[0032] In this application, unless otherwise specified or limited, the terms "installed," "connected," "connect," "fixed," etc. should be understood in a broad sense. For example, they can refer to fixed connection, detachable connection, or integration; mechanical connection or electrical connection; direct connection or indirect connection through an intermediate medium; internal communication between two elements or interaction between two elements, unless otherwise specified. Those skilled in the art will understand the specific meanings of the above terms in this application based on specific circumstances.
[0033] In this application, unless otherwise expressly specified or limited, when a first feature is "above" or "below" a second feature, it may mean that the first and second features are in direct contact, or the first and second features are in indirect contact through an intermediate medium. Furthermore, when a first feature is "above," "above," or "above" a second feature, it may mean that the first feature is directly above or diagonally above the second feature, or simply means that the first feature is at a higher level than the second feature. When a first feature is "below," "below," or "below" a second feature, it may mean that the first feature is directly below or diagonally below the second feature, or simply means that the first feature is at a lower level than the second feature.
[0034] It should be noted that when an element is referred to as being "fixed to" or "disposed on" another element, it may be directly on the other element or there may be an intermediate element. When an element is considered to be "connected to" another element, it may be directly connected to the other element or there may be an intermediate element. The terms "vertical," "horizontal," "upper," "lower," "left," "right," and similar expressions used herein are for illustrative purposes only and do not represent the only implementation methods.
[0035] See also Figure 1 , the embodiment of the present application provides a fan oil monitoring system, including: a composite sensor 1, an edge device 2 and a cloud platform, the cloud platform includes: any one or more of a data acquisition and storage component, a data processing and analysis component, a central control management component, an operation status analysis component and an equipment early warning analysis component; the composite sensor 1 is arranged on the edge device 2, the composite sensor 1 is electrically connected to the cloud platform, and the cloud platform is electrically connected to the edge device 2 for controlling the start and stop of the edge device 2.
[0036] In the technical solution provided in the embodiment of the present application, a composite sensor 1 is arranged on the edge device 2, which is used to sense and monitor various indicators of the edge device 2, and transmit the monitoring data to the cloud platform in real time; at this time, any one or more of the cloud platform's data acquisition and storage components, data processing and analysis components, central control management components, operation status analysis components, and equipment early warning analysis components process, learn, and analyze the data accordingly, and then make corresponding instructions to control the start and stop of the edge device 2.
[0037] The entire process of starting and stopping the edge device 2 relies on the cloud platform. The instructions of the cloud platform come from the monitoring data of the composite sensor 1. The entire monitoring system has a simple structure, and the cloud platform has better data processing computing power and precise instruction output computing power. While effectively reducing costs and system complexity, it also effectively ensures the accuracy of the results and will not be affected by interference from the external environment.
[0038] To further optimize the technical solution and effectively reduce the impact of external environmental factors on the accuracy of the monitoring system's results, the data processing and analysis component of the fan oil monitoring system provided in the present embodiment further includes a data optimization module. This module performs data optimization processing such as noise reduction on the monitoring data of the composite sensor 1, further effectively improving the accuracy of the monitoring system.
[0039] To facilitate remote management of the monitoring system, reduce management costs, and enable remote multi-device management by staff, the technical solution provided in the embodiments of this application includes a central control management component comprising a remote monitoring module and a remote control module. By implementing remote monitoring and remote control through the remote monitoring and remote control modules, a single staff member can manage and control multiple devices, reducing labor costs.
[0040] To facilitate real-time monitoring data access by staff, the technical solution provided in the embodiments of the present application electrically connects the remote monitoring module to an external display module. This external display module, electrically connected to the remote monitoring module, displays the monitoring data in real time, making it easier for staff to observe and make decisions about the data. Even if an anomaly occurs in the remote control module, staff can manually intervene and respond in real time.
[0041] In the technical solution provided in the embodiments of this application, the operating status analysis component includes a fault diagnosis module and a predictive optimization module. During equipment operating status analysis, these modules enable the system to identify oil equipment failure modes and characteristics and perform fault diagnosis. By comparing these modules with known fault samples, the system can determine whether the equipment is in a faulty state and even predict potential future equipment failures. Furthermore, by optimizing maintenance plans, the system can provide personnel with more targeted maintenance plans based on real-time monitoring data.
[0042] In the technical solution provided in the embodiments of the present application, the equipment early warning and analysis component includes: a threshold setting component and an alarm notification component. In equipment early warning and analysis, thresholds can be set through threshold settings. The monitoring system will set corresponding thresholds based on the operating requirements of the equipment and the performance indicators of the oil. When the monitored data exceeds or falls below these thresholds, the system will trigger an alarm or early warning. Once the alarm or early warning is triggered, the system will generate corresponding notification information and promptly notify the operator through audio and visual alarms, SMS notifications, email notifications, etc., and based on historical data and real-time data, predict the type and time of possible equipment failures, providing a basis for preventive maintenance.
[0043] See further here Figure 2 and Figure 3 The present application also provides a monitoring method for a fan oil monitoring system including any one of the above, comprising:
[0044] S1, data collection and storage, after collecting data, the collected data is collected and stored;
[0045] S2, data processing and analysis, analyze and optimize the stored data;
[0046] S3, control and management, control and manage the fan based on the optimized data;
[0047] S4. Equipment operating status analysis: Based on the results of data processing and analysis and control management, the equipment failure modes and characteristics are identified and fault diagnosis is performed, and a maintenance plan is output based on the optimized data;
[0048] S5. Equipment early warning analysis: compare the optimized data with the preset data. If it exceeds or falls below the preset threshold, an alarm or early warning will be triggered.
[0049] In the monitoring method provided in the embodiment of the present application, in S2, data processing and analysis further includes: any one or more of data cleaning, data denoising, and data filtering. Through any one or more of data cleaning, data denoising, and data filtering, the accuracy and reliability of the data can be improved. The processed data is further analyzed to obtain relevant information about the oil, including real-time changes in parameters such as temperature, moisture content, and wear metal. Furthermore, data optimization and data algorithm updates and optimization can be performed. Based on the latest research progress, more parameter algorithms can be launched to meet the monitoring requirements of different dimensions of the oil state.
[0050] In the technical solution provided by the embodiments of this application, in S5, the equipment early warning analysis also includes early warning prediction, which uses historical and real-time data to predict the type and time of possible future equipment failures. Early warning prediction can analyze past records to predict the content of possible future failures, further assisting in judgment, so that personnel can intervene in advance to prevent failures before they occur.
[0051] Example 1
[0052] In the technical solution provided in the embodiment of the present application, docking data collection and storage includes data collection and data transmission.
[0053] Docking data collection and storage: collect the data collected by the composite sensor and store the data.
[0054] In data collection, the composite sensor 1 will upload the specific parameters obtained by measuring and detecting the oil to the data collection, and the data collection will be transmitted to the monitoring system. Data collection can be carried out through wired or wireless methods to ensure the real-time and accuracy of the data. The collected data needs to be transmitted in real time to the processing unit of the monitoring system through reliable data transmission methods, such as wired networks or wireless networks, for subsequent data processing and analysis, and the data collected by the existing gateway will be stored in the cloud.
[0055] Data collection can be carried out through wired or wireless means to ensure the real-time and accuracy of the data. At the same time, the collected data needs to be transmitted in real time to the processing unit of the monitoring system through reliable data transmission methods, such as wired networks or wireless networks, for subsequent data processing and analysis, and the data can be cached.
[0056] Example 2
[0057] In the technical solution provided in the embodiments of the present application, data processing and analysis include data processing, data analysis and data optimization.
[0058] Data processing and analysis: Perform data cleaning and denoising on the received data, analyze the data, and optimize the data.
[0059] In data processing and analysis, the monitoring system can process the data. After receiving the data collected by the composite sensor 1, it will process the data, including data cleaning, denoising, filtering and other steps to improve the accuracy and reliability of the data, and analyze the data. The processed data will be further analyzed to obtain relevant information about the oil, including real-time changes in parameters such as temperature, moisture content, and wear metal. In addition, the data can be optimized, and the data algorithm can be updated and optimized. According to the latest research progress, more parameter algorithms can be launched to meet customers' monitoring of different dimensions of oil status.
[0060] By obtaining relevant information about the oil, including real-time changes in parameters such as temperature, moisture content, and wear metal, and optimizing the data, and updating and optimizing the data algorithm, more parameter algorithms are launched based on the latest research progress to meet customers' monitoring needs for different dimensions of oil status.
[0061] Example 3
[0062] In the technical solution provided in the embodiment of the present application, central control management includes remote monitoring and control, remote monitoring and control includes a remote monitoring platform and remote control, and the remote monitoring platform includes remote monitoring and mobile applications.
[0063] Central control management: overall management of the system through remote monitoring and remote control.
[0064] In central control management, the system can be managed through remote monitoring and control. In remote monitoring and control, operators can view oil monitoring data, analysis reports, etc. in real time through remote terminals or cloud platforms. When necessary, operators can also remotely control the monitoring system through remote terminals or cloud platforms to adjust monitoring parameters, optimize the working status of equipment, etc. By establishing a remote monitoring platform, remote monitoring and management of oil status can be achieved through the Internet, and mobile applications can be developed to facilitate users to view oil status and management information anytime and anywhere.
[0065] The monitoring system can be remotely controlled through a remote terminal or cloud platform, and monitoring parameters can be adjusted, the working status of the equipment can be optimized, etc. At the same time, a remote monitoring platform can be established, and remote monitoring and management of the oil status can be achieved through the Internet. In the development of mobile applications, users can check the oil status and management information anytime and anywhere.
[0066] Example 4
[0067] In the technical solution provided in the embodiment of the present application, the following are performed: equipment operation status analysis including fault diagnosis and prediction and optimization of maintenance plan.
[0068] Equipment operating status analysis: The system can identify the failure modes and characteristics of oil equipment and perform fault diagnosis. The system can also provide maintenance personnel with more targeted maintenance plans based on real-time monitoring data.
[0069] In the analysis of equipment operating status, fault diagnosis and prediction enable the system to identify the failure modes and characteristics of oil equipment and perform fault diagnosis. By comparing with known fault samples, the system can determine whether the equipment is in a faulty state and even predict possible future failures of the equipment. At the same time, the system optimizes maintenance plans so that the system can provide maintenance personnel with more targeted maintenance plans based on real-time monitoring data.
[0070] The system can determine whether the equipment is in a faulty state and can even predict possible future failures of the equipment. At the same time, it optimizes maintenance plans so that the system can provide maintenance personnel with more targeted maintenance plans based on real-time monitoring data, which helps avoid unnecessary maintenance while reducing maintenance costs and time.
[0071] Example 5
[0072] In the technical solution provided in the embodiment of the present application, the following are performed: equipment warning and analysis including threshold setting and alarm and warning notification, threshold setting including real-time monitoring and warning, alarm and warning notification including fault prediction.
[0073] Equipment early warning and analysis: The monitoring system will set corresponding thresholds based on the equipment's operating requirements and the oil's performance indicators. When the monitored data exceeds or falls below these thresholds, the system will trigger an alarm or early warning.
[0074] In equipment early warning and analysis, thresholds can be set through threshold settings. The monitoring system will set corresponding thresholds based on the operating requirements of the equipment and the performance indicators of the oil. When the monitored data exceeds or falls below these thresholds, the system will trigger an alarm or early warning. Once the alarm or early warning is triggered, the system will generate corresponding notification information and promptly notify the operator through sound and light alarms, SMS notifications, email notifications, etc., and based on historical data and real-time data, predict the type and time of possible equipment failures, providing a basis for preventive maintenance.
[0075] During system operation, once an alarm or warning is triggered, the system will generate corresponding notification information and promptly notify the operator through sound and light alarms, SMS notifications, email notifications, etc., so that the operator can always know whether the system is operating normally, and based on historical data and real-time data, predict the type and time of possible equipment failures, providing a basis for preventive maintenance.
[0076] It can be concluded from the above specific implementation manner and examples that the fan oil monitoring system and monitoring method provided in the embodiments of the present application have the following advantages:
[0077] 1. The embodiments of the present application provide a fan oil monitoring system and method, which collects data and transmits data using a composite sensor, and further processes, analyzes, and optimizes the data on a cloud platform. Advanced data processing and analysis technologies, such as artificial intelligence and machine learning, are introduced to improve the speed and accuracy of data processing, thereby simplifying the complexity of data.
[0078] 2. The fan oil monitoring system and method provided in the embodiments of the present application use cost-effective online monitoring equipment, which is purchased based on actual needs and economic conditions. By optimizing the maintenance and use cycle of the equipment, downtime and maintenance costs, as well as long-term operating costs, are reduced.
[0079] 3. The embodiments of the present application provide a fan oil monitoring system and monitoring method, which improve the system's anti-interference ability and stability by adopting advanced sensor technology and data processing algorithms, and regularly calibrate and maintain the monitoring system to ensure its accuracy.
[0080] 4. The embodiments of the present application provide a fan oil monitoring system and a monitoring method, which perform fault diagnosis and prediction in the analysis of the equipment operating status. In addition, high-quality monitoring equipment and sensors are selected to ensure that it can still operate stably in harsh environments. At the same time, based on fault diagnosis and prediction, an optimized maintenance plan is carried out, and the equipment is regularly inspected and maintained to ensure its long-term stable operation.
[0081] The embodiments of the present application provide a wind turbine oil monitoring system and a monitoring method, which have the advantages of simple structure, economical and controllable cost, not easily affected by the external environment, and high accuracy, and can be widely used in wind power generation equipment.
[0082] In summary, the present application provides a wind turbine oil monitoring system, including: a composite sensor, an edge device and a cloud platform, the cloud platform including: any one or more of a data acquisition and storage component, a data processing and analysis component, a central control management component, an operation status analysis component and an equipment early warning analysis component; the composite sensor is arranged on the edge device, the composite sensor is electrically connected to the cloud platform, and the cloud platform is electrically connected to the edge device for controlling the start and stop of the edge device. The present application also provides a monitoring method for the above-mentioned wind turbine oil monitoring system, including: data acquisition and storage, data processing and analysis, control management, equipment operation status analysis and equipment early warning analysis. The present application also provides an application of a wind turbine oil monitoring system including any one of the above items or a monitoring method including any one of the above items in wind power generation equipment. The present application provides a fan oil monitoring system, monitoring method and application thereof. After collecting data through a composite sensor, the data is further processed, analyzed and optimized through a cloud platform. After analyzing the optimized data, the edge equipment is controlled and managed. The entire monitoring process is simple and easy to operate, and the monitoring results are accurate and not easily affected by external interference. This solves the technical defects of the existing technology, namely, the fan oil monitoring system has high complexity, high cost, susceptibility to external environmental influences and poor accuracy.
[0083] The technical features of the above-described embodiments may be combined in any manner. To simplify the description, not all possible combinations of the technical features in the above-described embodiments are described. However, as long as there are no conflicts in the combination of these technical features, they should be considered to be within the scope of this specification. Furthermore, other implementations can be derived from the above-described embodiments, allowing for structural and logical substitutions and changes without departing from the scope of this disclosure.
[0084] The above-described embodiments merely represent several implementation methods of the present application. While the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the patent application. It should be noted that a person of ordinary skill in the art may make various modifications and improvements without departing from the spirit of the present application, and these modifications and improvements fall within the scope of protection of the present application. Therefore, the scope of protection of the present patent application shall be determined by the appended claims.
Claims
1. A fan oil monitoring system, characterized in that: The monitoring system includes: a composite sensor, an edge device, and a cloud platform. The cloud platform includes: any one or more of a data acquisition and storage component, a data processing and analysis component, a central control management component, an operation status analysis component, and an equipment early warning analysis component; The composite sensor is arranged on the edge device, the composite sensor is electrically connected to the cloud platform, and the cloud platform is electrically connected to the edge device to control the start and stop of the edge device.
2. The monitoring system according to claim 1, characterized in that The data processing and analysis component also includes a data optimization module.
3. The monitoring system according to claim 1, wherein: The central control management component includes: a remote monitoring module and a remote control module.
4. The monitoring system according to claim 3, characterized in that The remote monitoring module is electrically connected to the external display module.
5. The monitoring system according to claim 1, characterized in that The operating status analysis component includes: a fault diagnosis module and a prediction optimization module.
6. The monitoring system according to claim 1 or 5, characterized in that: The device early warning analysis component includes: a threshold setting component and an alarm notification component.
7. A monitoring method comprising the fan oil monitoring system according to any one of claims 1 to 6, characterized in that: The monitoring method comprises: S1, data collection and storage, after collecting data, the collected data is collected and stored; S2, data processing and analysis, analyze and optimize the stored data; S3, control and management, control and manage the fan based on the optimized data; S4. Analyzing the equipment operating status: identifying equipment failure modes and characteristics and performing fault diagnosis based on the results of the data processing and analysis and the control management, and outputting a maintenance plan based on the optimized data; S5. Equipment early warning analysis: comparing the optimized data with the preset data. If it exceeds or falls below the preset threshold, an alarm or early warning is triggered.
8. The monitoring method according to claim 7, characterized in that: In S2, the data processing and analysis also includes: any one or more of data cleaning, data denoising, and data filtering.
9. The monitoring method according to claim 7, characterized in that: In S5, the equipment early warning analysis also includes early warning prediction, which predicts the type and time of possible future equipment failures based on historical data and real-time data.
10. Use of the wind turbine oil monitoring system according to any one of claims 1 to 6 or the monitoring method according to any one of claims 7 to 9 in wind power generation equipment.