On-line data acquisition and analysis device of wind generating set

Abstract

The invention provides a vibration and strain signal on-line data acquisition and analysis device of a wind generating set. The device consists of an eight-channel synchronous acquisition circuit and an advanced reduced instruction-set computer (RISC) machine (ARM) main control module, wherein the eight-channel synchronous acquisition circuit and the ARM main control module are communicated with each other through an RS485 interface, can be used for performing dynamic signal acquisition on signals output by a vibration acceleration sensor and a strain sensor of the wind generating set, extracting characteristic parameters of strain data and vibration data and automatically recognizing the running state of a machine according to the configuration information of the device and can be used for performing storage management on the operating data of the wind generating set according to a strategy preset by a configuration, so that the integrity of data information during the abnormal running of the wind generating set is ensured and the mechanical running state of the wind generating set can be automatically monitored and analyzed; simultaneously, the ARM main control module is used for performing data transmission through a network interface and an external monitoring computer. The device has a small size, can be directly arranged on the wind generating set and can effectively improve the running maintainability of the wind generating set.

Description

technical field [0001] The invention relates to a device for online collection and state analysis of wind power generating set operation data based on vibration and strain signals. Background technique [0002] Wind power generation is one of the renewable energy development projects that are widely concerned by countries all over the world in recent years. The development speed is very fast, and there is a trend of large-scale and gigantic units. With the rapid increase in the capacity of large wind turbines, wind turbines are now developing from hundreds of kilowatts to megawatts, and the mechanical structure is becoming more and more complex. The interconnection and coupling between different components are also closer. If a component fails, It may cause the entire power generation process to be interrupted. In addition, since wind turbines are generally installed in relatively remote locations, and the diameter of the blades of large wind turbines reaches tens of meters...

AI Technical Summary

Problems solved by technology

However, wind turbines generally operate in harsh environments such as oceans, deserts, and extreme cold and extreme heat. In addition to the vibration caused by the failure of mechanical transmission components, they also receive vibrations such as external temperature changes and gap characteristics of the wind field. The fault characteristics are not only reflected in the vibration signal of the equipment operation, but also reflected in the stress / strain signal during the operation of the unit. Only collecting the vibration acceleration or speed signal cannot analyze and judge the operation status of the wind turbine.

This is the important reason why the vibration data acquisition devices and systems commonly used in rotating machinery cannot solve the online monitoring of wind turbine mechanical faults, and it is also the current deficiency and lack in the field of online monitoring of wind turbine mechanical faults

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