Cabin type wind lidar adaptive beam scanning method
A technology of wind measurement laser radar and beam scanning, which is applied in the direction of ICT adaptation, measurement equipment, radio wave measurement system, etc., can solve the problems that affect the efficiency of radar measurement data and the inability to measure effective data.
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Embodiment 1
[0091] Embodiment 1: A nacelle-type wind-measuring lidar adaptive beam scanning method:
[0092] In the embodiment, the number of light beams is 2, and in this embodiment, the shading position is predicted based on the fan speed.
[0093] S1. Radar signal processing steps: Obtain the laser radar return light signal CNR, and the method for obtaining the laser radar return light signal CNR is:
[0094]
[0095] In the formula, S(f) is the signal power spectrum after noise elimination, and N(f) is the background noise power spectrum;
[0096] S2. Impeller occlusion detection step: judge whether the impeller is occluded based on the laser radar return light signal CNR. Before the impeller occlusion detection, store the CNR in chronological order as follows:
[0097] Beam 1
[0098] t 0.02 1.02 2.02 3.02 4.02 5.02 6.02 7.02 8.02 9.02 10.02 CNR 5.30 0.94 4.78 0.80 6.14 0.60 7.13 0.42 5.17 0.2 4.26
[0099] Beam 2
[0100] t 0....
Embodiment 2
[0132] Embodiment 2: A nacelle-type wind-measuring lidar adaptive beam scanning method:
[0133] In the embodiment, the number of light beams is 2, and in this embodiment, the occlusion position is predicted based on the radar CNR.
[0134] S1, the radar signal processing steps are exactly the same as in Embodiment 1;
[0135] S2, the impeller blocking detection step is exactly the same as that of Embodiment 1;
[0136] S3. Blocking position prediction steps:
[0137] In Example 2, the main control of the fan does not provide the fan speed M, at this time γ 1 =0; Predict the occlusion position according to CNR:
[0138] a) Parameter initialization
[0139] According to the number of beams 2, the next period is divided into 2 equal parts, and the occlusion weight w of the first beam is initialized 1j =0, 1≤j≤2; w 1jIndicates the occlusion weight of the first beam in the jth sub-period;
[0140] b) Predict occlusion position based on CNR
[0141] The steps of occlusion p...
Embodiment 3
[0155] Example 3: Binding image 3 , an adaptive beam scanning method for nacelle-type wind lidar:
[0156] In the embodiment, the number of light beams is 2, and in this embodiment, the occlusion position is predicted based on the weighted fan speed and radar CNR.
[0157] S1, the radar signal processing steps are exactly the same as Embodiment 1 / 2;
[0158] S2, the impeller blockage detection step is exactly the same as embodiment 1 / 2;
[0159] S3. Blocking position prediction steps:
[0160] - Calculate the fan speed weight matrix W`:
[0161] This step is basically consistent with the S3 step in Example 1, only in the S3 → b) → ii step of Example 1, r 1 In Example 3, it is expressed as the wind turbine prediction weighted value, r 1 The acquisition method: first r 1 Set it to 0, then gradually increase it, and observe the radar data effective rate AVL (radar beam not blocked rate), until the data effective rate no longer increases to get r 1 parameter value. This p...
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