A multi-protocol adapted wind farm global device fault tracing and unmanned operation and maintenance monitoring system

Abstract

This invention discloses a multi-protocol-adaptive wind farm full-domain equipment fault tracing and unmanned operation and maintenance monitoring system, belonging to the field of new energy intelligent operation and maintenance monitoring technology. Addressing the existing technical pain points of wind farms, such as heterogeneous protocols among wind turbines, transformer substations, transmission lines, and booster stations, severe data silos, alarms without root cause tracing, fixed monitoring parameters unable to adapt to wind power operating condition fluctuations, and high costs of manual inspections, this invention sets up a unified adaptation and parsing module for heterogeneous protocols across multiple devices, achieving standardized and unified access to data from multiple vendors and multiple protocols; constructs a three-level correlation tracing and reasoning model of surface alarms – mid-level anomalies – bottom-level faults, enabling automatic location of fault root causes, triggers, and cascading effects; and establishes a dynamic adaptive unmanned operation and maintenance scheduling strategy based on real-time wind speed and power generation load, adaptively adjusting the data collection frequency, early warning thresholds, and operation and maintenance work orders. This invention completely breaks down the data barriers across the entire wind farm domain, enabling unmanned intelligent monitoring, precise fault tracing, and adaptive operation and maintenance under various operating conditions. It significantly reduces manual operation and maintenance costs, shortens downtime due to faults, and improves the stability of grid-connected operation of wind farms. It is applicable to intelligent operation and maintenance scenarios across the entire domain of onshore and offshore wind farms and new energy booster stations.

Description

Technical Field

[0001] This invention belongs to the field of intelligent monitoring, fault diagnosis and unmanned operation and maintenance technology of new energy wind power, specifically involving a multi-protocol adapted wind farm full-domain equipment fault tracing and unmanned operation and maintenance monitoring system. Background Technology

[0002] Onshore and offshore wind farms employ a wide variety of equipment, with inconsistent specifications and models from different suppliers. Monitoring systems for wind turbines, transformer substations, transmission lines, and booster stations operate independently, exhibiting significant heterogeneity in communication protocols and creating numerous data silos, hindering comprehensive data fusion and analysis. Existing monitoring systems only provide simple over-limit alarms, failing to differentiate between surface alarms, mid-level anomalies, and underlying root-cause faults. This prevents fault tracing and location, reliance on manual experience for troubleshooting, and prolonged downtime for recovery.

[0003] Meanwhile, wind farms cover a wide area and equipment locations are scattered, making traditional manual inspections labor-intensive, costly, and inefficient. Existing monitoring systems use fixed parameters for data collection frequency and alarm thresholds, which cannot adapt to the dynamic characteristics of wind power operating conditions such as wind speed fluctuations and dynamic changes in power generation load. This easily leads to missed alarms under high load and false alarms under low load, failing to meet the needs of refined, unmanned, and intelligent operation and maintenance. The industry urgently needs a comprehensive unmanned operation and maintenance monitoring system that can be accessed via multiple protocols, automatically trace faults, and adaptively schedule operations based on operating conditions. Summary of the Invention

[0004] The purpose of this invention is to overcome the shortcomings of existing wind farm monitoring protocols, such as inconsistent protocols, data silos, lack of root cause analysis, fixed strategies, and high dependence on manual labor, and to provide a wind farm-wide equipment fault tracing and unmanned operation and maintenance monitoring system that is compatible with multiple protocols.

[0005] This invention achieves unified and standardized access to data from multiple vendors and protocols across the entire wind farm by building a unified adaptation and parsing architecture for heterogeneous protocols across multiple devices; it enables reverse tracing from alarm phenomena to abnormal characteristics and then to the root cause of underlying faults by constructing a three-level hierarchical fault correlation reasoning model; and it establishes a dynamic adaptive unmanned operation and maintenance scheduling strategy by introducing multi-dimensional parameters such as wind speed, power generation load, and equipment health scores, automatically adjusting the collection frequency, early warning threshold, and operation and maintenance work order plan to achieve unmanned, intelligent, and adaptive smart operation and maintenance across the entire wind farm. Beneficial effects

[0006] This enables unified access to all types of equipment in wind farms using multiple protocols, completely eliminating heterogeneous data silos and achieving integrated monitoring of data across the entire domain.

[0007] A three-level fault tracing and reasoning mechanism is constructed to automatically locate the root cause, trigger, and chain effect of the fault, significantly shortening the fault investigation and downtime recovery time.

[0008] This enables unmanned intelligent operation and maintenance scheduling, significantly reducing the frequency of manual inspections and the manpower costs of station operation and maintenance.

[0009] It adapts to the random fluctuations of wind power operating conditions, dynamically and adaptively adjusts monitoring parameters, significantly reduces false alarms and missed alarms, and improves the grid connection stability of wind farms and the reliability of equipment operation. Attached Figure Description

[0010] Figure 1 Overall system architecture diagram of the present invention Figure 2. Data access flowchart of the multi-protocol unified adaptation and parsing module Figure 3. Hierarchical structure of the three-level correlation fault tracing inference model Figure 4. Flowchart of the adaptive unmanned operation and maintenance strategy scheduling logic Figure label.

[0011] 1. Multi-protocol heterogeneous device layer; 2. Multi-protocol unified adaptation and parsing module; 3. Global standardized data storage module; 4. Three-level correlation fault tracing and reasoning module; 5. Operating condition adaptive unmanned operation and maintenance scheduling module; 6. Fault tracing result output terminal; 7. Intelligent operation and maintenance work order output terminal; 8. Wind power real-time operating condition acquisition unit; 9. Protocol automatic identification unit; 10. Data standardization conversion unit; 11. Surface alarm layer; 12. Middle-layer equipment anomaly layer; 13. Bottom-layer fault root cause layer; 14. Dynamic threshold correction unit; 15. Acquisition frequency adaptive unit; 16. Unmanned operation and maintenance scheduling output unit. Detailed Implementation

[0012] The system integrates heterogeneous protocol data from wind turbines, transformer substations, power lines, and booster stations across the entire wind farm into a unified multi-protocol adaptation and parsing module. This module performs protocol identification, conversion, data cleaning, and point normalization, outputting standardized datasets for storage. Based on the comprehensive operational data, the system constructs a three-tiered correlation reasoning model: surface-level alarms, mid-level anomalies, and low-level faults. Through correlation weight matrices and fault maps, it performs root cause analysis and cascading impact analysis. The system collects wind speed, power output, and equipment health status in real time, dynamically and adaptively adjusting data collection frequency, warning thresholds, online monitoring strategies, and offline maintenance work orders. It automatically outputs equipment health reports and maintenance scheduling plans, achieving unmanned, closed-loop intelligent operation and maintenance across the entire wind farm.

Claims

1. A multi-protocol compatible wind farm full-domain equipment fault tracing and unmanned operation and maintenance monitoring system, characterized in that, include: Multi-device heterogeneous protocol unified adaptation and parsing module, global standardized data storage module, three-level correlation fault tracing and reasoning module, and working condition adaptive unmanned operation and maintenance scheduling module; The multi-device heterogeneous protocol unified adaptation and parsing module has a built-in multi-protocol automatic conversion unit, which is compatible with heterogeneous communication protocols from multiple manufacturers of wind farm turbines, transformer substations, transmission lines, and booster stations, and completes the unified access, cleaning and standardized output of heterogeneous data; The global standardized data storage module is used to store the device's original collected data, operating condition data, alarm event data, and device health status data. The three-level correlation fault tracing and reasoning module constructs a three-level correlation reasoning model of surface alarm events, mid-level equipment abnormality characteristics, and bottom-level original fault parameters, and deduces the root cause, inducing factors and fault chain propagation range from single point anomalies. The adaptive unmanned operation and maintenance scheduling module automatically and dynamically adjusts the data collection frequency, fault warning threshold, online monitoring strategy, and offline operation and maintenance plan based on real-time wind speed, power generation load, and equipment dynamic health score, thereby realizing unmanned adaptive operation and maintenance scheduling of wind farms.

2. The multi-protocol adapted wind farm full-domain equipment fault tracing and unmanned operation and maintenance monitoring system according to claim 1, characterized in that, The unified adaptation and parsing module for heterogeneous protocols of multiple devices supports automatic identification, protocol translation, point alignment and data normalization of wind power-specific protocols and general power protocols, eliminating the differences in data format heterogeneity among multiple devices.

3. The multi-protocol adapted wind farm full-domain equipment fault tracing and unmanned operation and maintenance monitoring system according to claim 1, characterized in that, The three-level associated fault tracing and reasoning module has a built-in fault association map, which establishes an association weight matrix between abnormal equipment parameters, alarm signals, fault types, and environmental conditions, so as to realize the tracing of chain faults and the deduction of the scope of impact.

4. The multi-protocol adapted wind farm full-domain equipment fault tracing and unmanned operation and maintenance monitoring system according to claim 1, characterized in that, The adaptive unmanned operation and maintenance scheduling module is equipped with a dynamic threshold correction algorithm, which automatically updates the early warning judgment threshold according to the fluctuation of power generation load and the change of wind speed level, so as to avoid the problems of false alarms and missed alarms caused by fixed thresholds.

5. The multi-protocol adapted wind farm full-domain equipment fault tracing and unmanned operation and maintenance monitoring system according to claim 1, characterized in that, The adaptive unmanned operation and maintenance scheduling module can automatically generate operation and maintenance work orders, inspection tasks, and equipment health analysis reports, realizing unmanned closed-loop operation and maintenance management.

6. The multi-protocol adapted wind farm full-domain equipment fault tracing and unmanned operation and maintenance monitoring system according to claim 1, characterized in that, The system covers primary and secondary equipment of wind turbines, transformer substations, power collection lines, and booster stations, enabling integrated monitoring, tracing, operation and maintenance scheduling of the entire wind farm.

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