单测点组合预测 - 水库运行管理系统

此接口用于接收多个测试点的预测数据，这些数据来自不同的预测模型（例如统计模型、LSTM、RNN、BP神经网络等）。接口会对每个测试点的数据进行处理，通过加权平均法对不同模型的预测结果进行组合，最终返回每个测试点组合后的预测值。

请求参数

Body 参数application/json

示例

[
  {
    "point_id": 1,
    "component_id": "x",
    "forecast_results": [
      {
        "type": "sm",
        "correlation_coefficient": 0.976,
        "data": [
          [ "2024-11-08 00:00:00", 0.985 ],
          [ "2024-11-09 00:00:00", 0.983 ]
        ]
      },
      {
        "type": "lstm",
        "correlation_coefficient": 0.95,
        "data": [
          [ "2024-11-08 00:00:00", 0.975 ],
          [ "2024-11-09 00:00:00", 0.993 ]
        ]
      },
      {
        "type": "rnn",
        "correlation_coefficient": 0.95,
        "data": [
          [ "2024-11-08 00:00:00", 0.925 ],
          [ "2024-11-09 00:00:00", 0.943 ]
        ]
      },
      {
        "type": "bp",
        "correlation_coefficient": 0.95,
        "data": [
          [ "2024-11-08 00:00:00", 0.965 ],
          [ "2024-11-09 00:00:00", 0.973 ]
        ]
      }
    ]
  },
  {
    "point_id": 2,
    "component_id": "y",
    "forecast_results": [
      {
        "type": "sm",
        "correlation_coefficient": 0.976,
        "data": [
          [ "2024-11-08 00:00:00", 0.985 ],
          [ "2024-11-09 00:00:00", 0.983 ]
        ]
      },
      {
        "type": "lstm",
        "correlation_coefficient": 0.95,
        "data": [
          [ "2024-11-08 00:00:00", 0.975 ],
          [ "2024-11-09 00:00:00", 0.993 ]
        ]
      },
      {
        "type": "rnn",
        "correlation_coefficient": 0.95,
        "data": [
          [ "2024-11-08 00:00:00", 0.925 ],
          [ "2024-11-09 00:00:00", 0.943 ]
        ]
      },
      {
        "type": "bp",
        "correlation_coefficient": 0.95,
        "data": [
          [ "2024-11-08 00:00:00", 0.965 ],
          [ "2024-11-09 00:00:00", 0.973 ]
        ]
      }
    ]
  }
]

请求示例代码

Shell

JavaScript

Java

Swift

PHP

Python

HTTP

Objective-C

Ruby

OCaml

Dart

curl --location --request POST 'http://192.168.11.46:13000/v1/engineering_safety_prediction_warning/single_point_ensemble_prediction' \
--header 'Content-Type: application/json' \
--data-raw '[
  {
    "point_id": 1,
    "component_id": "x",
    "forecast_results": [
      {
        "type": "sm",
        "correlation_coefficient": 0.976,
        "data": [
          [ "2024-11-08 00:00:00", 0.985 ],
          [ "2024-11-09 00:00:00", 0.983 ]
        ]
      },
      {
        "type": "lstm",
        "correlation_coefficient": 0.95,
        "data": [
          [ "2024-11-08 00:00:00", 0.975 ],
          [ "2024-11-09 00:00:00", 0.993 ]
        ]
      },
      {
        "type": "rnn",
        "correlation_coefficient": 0.95,
        "data": [
          [ "2024-11-08 00:00:00", 0.925 ],
          [ "2024-11-09 00:00:00", 0.943 ]
        ]
      },
      {
        "type": "bp",
        "correlation_coefficient": 0.95,
        "data": [
          [ "2024-11-08 00:00:00", 0.965 ],
          [ "2024-11-09 00:00:00", 0.973 ]
        ]
      }
    ]
  },
  {
    "point_id": 2,
    "component_id": "y",
    "forecast_results": [
      {
        "type": "sm",
        "correlation_coefficient": 0.976,
        "data": [
          [ "2024-11-08 00:00:00", 0.985 ],
          [ "2024-11-09 00:00:00", 0.983 ]
        ]
      },
      {
        "type": "lstm",
        "correlation_coefficient": 0.95,
        "data": [
          [ "2024-11-08 00:00:00", 0.975 ],
          [ "2024-11-09 00:00:00", 0.993 ]
        ]
      },
      {
        "type": "rnn",
        "correlation_coefficient": 0.95,
        "data": [
          [ "2024-11-08 00:00:00", 0.925 ],
          [ "2024-11-09 00:00:00", 0.943 ]
        ]
      },
      {
        "type": "bp",
        "correlation_coefficient": 0.95,
        "data": [
          [ "2024-11-08 00:00:00", 0.965 ],
          [ "2024-11-09 00:00:00", 0.973 ]
        ]
      }
    ]
  }
]'

返回响应

🟢200成功

application/json

Body

示例

{
    "code": 200,
    "msg": "请求成功",
    "data": [
        {
            "point_id": 1,
            "component_id": "x",
            "data": [
                {
                    "2024-11-08": 0.9626529012023002
                },
                {
                    "2024-11-09": 0.9730679560899111
                }
            ]
        },
        {
            "point_id": 2,
            "component_id": "y",
            "data": [
                {
                    "2024-11-08": 0.9626529012023001
                },
                {
                    "2024-11-09": 0.973067956089911
                }
            ]
        }
    ]
}