获取指定帧范围内所有单元格的信息。虽然本接口支持按帧范围查询,但是请根据实际模型的规模大小进行确定拉取的范围大小。若对规模不是特别清晰,请一帧一帧获取数据。
字段 | 值1 | 值2 | 值3 | 值4 |
---|---|---|---|---|
x | x1 | x2 | x3 | x4 |
y | y1 | y2 | y3 | y4 |
vmag | vmag1 | vmag2 | vmag3 | vmag4 |
curl --location --request GET 'http://cloud.keepsoft.net:30100/api/results/v1/2d/cell/detail?taskId=357&filter=dir,eta,u,vmag,v,h&beginFrame=&endFrame' \
--header 'apiKey;' \
--header 'timestamp;' \
--header 'sign;'
[
{
"eta": "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",
"u": "H4sIAAAAAAAAAO3CMQ0AAAACoEIe9k9nBQMwaAoAAAAAAAAAAAC/AXg7oW95JgAA",
"v": "H4sIAAAAAAAAAO3CMQ0AAAACoEIe9k9nBQMwaAoAAAAAAAAAAAC/AXg7oW95JgAA",
"h": "H4sIAAAAAAAAAO3CMQ0AAAACoEIe9k9nBQMwaAoAAAAAAAAAAAC/AXg7oW95JgAA",
"vmag": "H4sIAAAAAAAAAO3CMQ0AAAACoEIe9k9nBQMwaAoAAAAAAAAAAAC/AXg7oW95JgAA",
"dir": "H4sIAAAAAAAAAO3CMQ0AAAwDIEM9+ta/sYnYC2HNVFVVVVVVVVVVVVVVVVX9Pqr3y4m2OQAA",
"PHY": "H4sIAAAAAAAAAO3DQQkAAAgAsUIi1z+dNXxssLZJVVVVVVVVVVVVVVVV/fQAL7DN/PczAAA="
}
]