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Sampling, storage and query method and device for wind turbine condition monitoring system

A condition monitoring system and technology for wind turbines, applied in the fields of storage, query, and data sampling, can solve the problems of difficulty in saving historical data, inability to use it at will, and missed reports of faults, so as to facilitate on-site analysis and diagnosis, and facilitate on-site machine detection. , the effect of reducing the probability of missed judgment

Inactive Publication Date: 2017-10-17
CHANGZHOU ARMOR INTELLIGENT TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] 1. False alarms caused by system noise
[0006] 2. The data utilization rate is low. Due to the large number of fans and the long polling time, the polled data cannot fully represent the real-time operating status of the fans
[0007] 3. Affected by the preprocessing algorithm, if the threshold is too low, the pressure on the network will be increased; if the threshold is too high, faults will be missed and valid data will be lost
It is difficult to choose the threshold value
[0008] 4. Data storage generally adopts cache, the storage space is extremely limited, and historical data is difficult to save
[0009] 5. When the machine is overhauled, the historical data of the fan is only in the control and cannot be used at will

Method used

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  • Sampling, storage and query method and device for wind turbine condition monitoring system
  • Sampling, storage and query method and device for wind turbine condition monitoring system
  • Sampling, storage and query method and device for wind turbine condition monitoring system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0069] (Example 1, a sampling, storage and query method of a wind turbine condition monitoring system)

[0070] See Figure 2 to Figure 4 , a method for sampling, storing and querying a wind turbine condition monitoring system, the specific steps of which include:

[0071] (1) Synchronous sampling of each acquisition channel, enter step (3);

[0072] (2) Trigger sampling through manual or preset instructions, and enter step (3);

[0073] (3) Preprocess the data, and record the size and number of characteristic values ​​of the preprocessed data within a polling interval, judge whether the signal is abnormal according to the set characteristic value threshold, and enter steps (4) and (7);

[0074] (4) After preprocessing, all the information is stored in the Sata II hard disk

[0075] (5) The historical data stored on the Sata II hard disk can be queried and called locally through the communication interface, which is convenient for on-site testing, and can also be called bac...

Embodiment 2

[0116] (Example 2, a sampling, storage and query device for a wind turbine status monitoring system)

[0117] See figure 1 , a sampling, storage and query device for a wind turbine condition monitoring system, comprising a wind turbine 1, a signal collection device, a local signal processing device and a controller 4; the signal collection device includes an analog-to-digital converter 2 and a sensor 5; the local signal processing The device includes a digital signal processor 3; the wind turbine 1 has N wind motors; the sensors 5 have N, and are respectively fixedly installed on N wind motors; the input end of the analog-to-digital converter 2 is connected to the output end of the sensor 5; digital signal processing The input end of device 3 is connected to the output end of analog-to-digital converter 2; digital signal processor 3 is connected with controller 4 two-way communication through local area network; The memory 6 has a data interface 7, and the large-capacity memo...

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Abstract

The invention relates to a sampling, storing and inquiring method and device of a WTGS state monitoring system. The method comprises the steps that (1) collection channels carry out sampling simultaneously, and a step (3) is turned to; (2) sampling is triggered manually or via a preset instruction, and the step (3) is turned to; (3) the values and amount of pre-processing data characteristic constants are recorded within one polling interval, selected characteristic constants are stored and reported, and steps (4) and (5) are turned to; (4) the reported characteristic values and original data are all stored in a high-capacity memory, and can be both inquired locally via a communication interface and inquired and called via the local area network and the Internet; (5) whether signals are abnormal is determined according to set threshold of the characteristic constant, and according to certain rule, abnormal signals and characteristic constants are reported to a wind-farm central control room in the UTP manner when being polled; and (6) historical data in the high-capacity memory is deleted intelligently instead of being directly covered in the traditional manner.

Description

technical field [0001] The invention relates to a data sampling, storage and query method, in particular to a sampling, storage and query method of a wind turbine status monitoring system. On the one hand, the present invention can realize real-time optimized sampling of device state parameters, improve the utilization rate of sampled data, and avoid false alarms caused by background noise; , and improve the time and effectiveness of locally stored data through data intelligent deletion technology; on the other hand, it is beneficial to obtain historical data for on-board maintenance and improve data security. Background technique [0002] The wind turbine condition monitoring system (CMS for short) can realize distributed sampling of the operating parameters of each wind turbine, so as to understand the operation status of the wind turbine transmission chain in real time, and guide the daily maintenance of the wind turbine to avoid major mechanical failures. [0003] At pr...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G05B19/042
CPCG05B19/0428
Inventor 郑震陈木海张腾袁书刚胡洪慧
Owner CHANGZHOU ARMOR INTELLIGENT TECH
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