- 基础信息(gromis_basic_db)
- 区域服务
- 水库信息查询
- 水库信息
- 大坝信息
- 溢洪道信息
- 泄洪洞信息
- 用户关联水库
- 文件资料
- 引调水基础信息
- 通航建筑物信息
- 过鱼建筑物信息
- 生态流量设施信息
- 泵站基础信息
- 防洪效益信息
- 灌溉效益信息
- 工业园区供水效益
- 供水水厂效益信息
- 发电效益信息
- 生态景观效益信息
- 其他效益信息
- 渠(沟)道基础信息
- 大坝监测设施情况
- 水库运行管理情况
- 库(湖)容曲线表
- 库(湖)容曲线核查表
- 放空建筑物信息
- 地图图斑
- 任务信息
- 水库基础信息核查资料收集清单
- 水库公用文件
- 水雨情测站设施情况
- 调查任务通知信息
- 任务审核日志
- 数据填报操作
- 统计服务
- 任务变更记录
- 基础业务(gromis_business_db)
- 监测数据(gromis_monitoring_db)
- 系统管理(gromis_sys_db)
- 四预模块(gromis_fp_db)
- 模型接口 V0 (设计院)
- 模型接口 V1 (设计院)
- API服务提供
- 模型调度
- 备份
训练
开发中
开发环境
http://192.168.11.46:13000
开发环境
http://192.168.11.46:13000
POST
/v1/engineering_safety_prediction_warning/stress_strain/training
请求参数
Body 参数application/json
temperature_type
integer
必需
points
array [object {4}]
必需
point_id
integer
可选
component_id
string
可选
historical_observations
array [array]
可选
initial_list
array [oneOf]
可选
public_data
object
必需
shared_data
array [array]
必需
示例
{
"temperature_type": 1,
"points": [
{
"point_id": 7502,
"component_id": "x",
"historical_observations": [
[
"2024-05-31",
-0.181594
],
[
"2024-05-30",
-0.181021
],
[
"2024-05-29",
-0.18203
],
[
"2024-05-28",
-0.182182
],
[
"2024-05-27",
-0.183206
],
[
"2024-05-26",
-0.184043
],
[
"2024-05-25",
-0.183526
],
[
"2024-05-24",
-0.181624
],
[
"2024-05-23",
-0.179599
],
[
"2024-05-22",
-0.177723
],
[
"2024-05-21",
-0.177033
],
[
"2024-05-20",
-0.177063
],
[
"2024-05-19",
-0.176386
],
[
"2024-05-18",
-0.175304
],
[
"2024-05-17",
-0.17526
],
[
"2024-05-16",
-0.175288
],
[
"2024-05-15",
-0.176653
],
[
"2024-05-14",
-0.17664
],
[
"2024-05-13",
-0.1749
],
[
"2024-05-12",
-0.175038
],
[
"2024-05-11",
-0.176517
],
[
"2024-05-10",
-0.174676
],
[
"2024-05-09",
-0.172865
],
[
"2024-05-08",
-0.172854
],
[
"2024-05-07",
-0.173393
],
[
"2024-05-06",
-0.172312
],
[
"2024-05-05",
-0.170772
],
[
"2024-05-04",
-0.170379
],
[
"2024-05-03",
-0.170897
],
[
"2024-05-02",
-0.171204
],
[
"2024-05-01",
-0.17449
],
[
"2024-04-30",
-0.177921
],
[
"2024-04-29",
-0.177692
],
[
"2024-04-28",
-0.175104
],
[
"2024-04-27",
-0.17412
],
[
"2024-04-26",
-0.171753
],
[
"2024-04-25",
-0.171587
],
[
"2024-04-24",
-0.171483
],
[
"2024-04-23",
-0.171287
],
[
"2024-04-22",
-0.171502
],
[
"2024-04-21",
-0.172412
],
[
"2024-04-20",
-0.174222
],
[
"2024-04-19",
-0.174634
],
[
"2024-04-18",
-0.175794
],
[
"2024-04-17",
-0.176369
],
[
"2024-04-16",
-0.169898
],
示例代码
Shell
JavaScript
Java
Swift
Go
PHP
Python
HTTP
C
C#
Objective-C
Ruby
OCaml
Dart
R
请求示例请求示例
Shell
JavaScript
Java
Swift
curl --location --request POST 'http://192.168.11.46:13000/v1/engineering_safety_prediction_warning/stress_strain/training' \
--header 'Content-Type: application/json' \
--data-raw '{
"temperature_type": 1,
"points": [
{
"point_id": 7502,
"component_id": "x",
"historical_observations": [
[
"2024-05-31",
-0.181594
],
[
"2024-05-30",
-0.181021
],
[
"2024-05-29",
-0.18203
],
[
"2024-05-28",
-0.182182
],
[
"2024-05-27",
-0.183206
],
[
"2024-05-26",
-0.184043
],
[
"2024-05-25",
-0.183526
],
[
"2024-05-24",
-0.181624
],
[
"2024-05-23",
-0.179599
],
[
"2024-05-22",
-0.177723
],
[
"2024-05-21",
-0.177033
],
[
"2024-05-20",
-0.177063
],
[
"2024-05-19",
-0.176386
],
[
"2024-05-18",
-0.175304
],
[
"2024-05-17",
-0.17526
],
[
"2024-05-16",
-0.175288
],
[
"2024-05-15",
-0.176653
],
[
"2024-05-14",
-0.17664
],
[
"2024-05-13",
-0.1749
],
[
"2024-05-12",
-0.175038
],
[
"2024-05-11",
-0.176517
],
[
"2024-05-10",
-0.174676
],
[
"2024-05-09",
-0.172865
],
[
"2024-05-08",
-0.172854
],
[
"2024-05-07",
-0.173393
],
[
"2024-05-06",
-0.172312
],
[
"2024-05-05",
-0.170772
],
[
"2024-05-04",
-0.170379
],
[
"2024-05-03",
-0.170897
],
[
"2024-05-02",
-0.171204
],
[
"2024-05-01",
-0.17449
],
[
"2024-04-30",
-0.177921
],
[
"2024-04-29",
-0.177692
],
[
"2024-04-28",
-0.175104
],
[
"2024-04-27",
-0.17412
],
[
"2024-04-26",
-0.171753
],
[
"2024-04-25",
-0.171587
],
[
"2024-04-24",
-0.171483
],
[
"2024-04-23",
-0.171287
],
[
"2024-04-22",
-0.171502
],
[
"2024-04-21",
-0.172412
],
[
"2024-04-20",
-0.174222
],
[
"2024-04-19",
-0.174634
],
[
"2024-04-18",
-0.175794
],
[
返回响应
🟢200成功
application/json
Body
code
integer
Code
msg
string
Msg
data
object
Data
point_id
number
测点ID
component_id
string
测值项ID
model
string
模型
示例
{
"code": 200,
"msg": "请求成功",
"data": [
{
"err_code": null,
"point_id": 7502,
"component_id": "x",
"model": 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"
}
]
}