升级求解器至2.0

wuww

2025-05-14 ddee792c3e8991a72990dbb485bde26bdb968c93

 data/init.sql

@@ -12,6 +12,7 @@
     service_name varchar(200),
    type smallint default 1,
   area_type smallint default 0,
   area_name varchar(200),
   data varchar(8000),
   status smallint default 0,
   result varchar(8000),
@@ -31,6 +32,7 @@
comment on column nsl.simu.service_name is '服务名称';
comment on column nsl.simu.type is '类别：1-预测模拟，2-实时模拟，3-历史模拟';
comment on column nsl.simu.area_type is '区域类别：0-自定义，1-行政区划，2-重点区域，3-重点沟';
comment on column nsl.simu.area_name is '区域名称';
comment on column nsl.simu.data is '数据(JSON)';
comment on column nsl.simu.status is '状态：0-创建仿真，1-预处理，2-分析中，10-完成，20-出错';
comment on column nsl.simu.result is '结果(JSON)';
@@ -41,7 +43,11 @@
comment on column nsl.simu.bak is '备注';
comment on column nsl.simu.geom is '空间位置';

select * from nsl.simu;
-- insert into nsl.simu (name, service_name, type, area_type, area_name, status, geom) values ('预测模拟-0416', '20250416100000', 1, 1, '大兴区', 0, ST_GeomFromText('MULTIPOLYGON(((116.666748 39.639859,116.659403 39.626287,116.665956 39.654698,116.666748 39.639859)))'));

select id,name,service_name,type,area_type,area_name,status,result,create_time,update_time,bak,data,st_astext(geom) from nsl.simu where id > 0 order by id desc;
-- update nsl.simu set status=0,area_name='房山区',result=null,data = '{"startTime":"2025-05-01 11:10:54","type":3,"total":50,"duration":6,"intensity":70,"history":"XX年50mm降雨"}' where id = 17;
-- update nsl.simu set status=0,area_name='房山区',result=null,data = '{"startTime":"2025-05-06 14:31:58","type":3,"total":1025,"duration":14,"intensity":78.5,"rainfalls":[{"time":"2023-07-29 22:00:00","intensity":2,"total":2},{"time":"2023-07-29 23:00:00","intensity":2,"total":4},{"time":"2023-07-30 00:00:00","intensity":3.5,"total":7.5},{"time":"2023-07-30 01:00:00","intensity":2.5,"total":10},{"time":"2023-07-30 02:00:00","intensity":2,"total":244.5},{"time":"2023-07-30 03:00:00","intensity":3.5,"total":339.5},{"time":"2023-07-30 04:00:00","intensity":6,"total":345.5},{"time":"2023-07-30 05:00:00","intensity":10.5,"total":356},{"time":"2023-07-30 06:00:00","intensity":4.5,"total":360.5},{"time":"2023-07-30 07:00:00","intensity":5.5,"total":366},{"time":"2023-07-30 08:00:00","intensity":13,"total":379},{"time":"2023-07-30 09:00:00","intensity":17,"total":396},{"time":"2023-07-30 10:00:00","intensity":15.5,"total":25.5},{"time":"2023-07-30 11:00:00","intensity":17.5,"total":43},{"time":"2023-07-30 12:00:00","intensity":16,"total":59},{"time":"2023-07-30 13:00:00","intensity":18.5,"total":77.5},{"time":"2023-07-30 14:00:00","intensity":13,"total":90.5},{"time":"2023-07-30 15:00:00","intensity":23.5,"total":114},{"time":"2023-07-30 16:00:00","intensity":28.5,"total":142.5},{"time":"2023-07-30 17:00:00","intensity":24.5,"total":167},{"time":"2023-07-30 18:00:00","intensity":43,"total":210},{"time":"2023-07-30 19:00:00","intensity":32.5,"total":242.5},{"time":"2023-07-30 20:00:00","intensity":49.5,"total":294},{"time":"2023-07-30 21:00:00","intensity":18.5,"total":312.5},{"time":"2023-07-30 22:00:00","intensity":8,"total":320.5},{"time":"2023-07-30 23:00:00","intensity":15.5,"total":336},{"time":"2023-07-31 00:00:00","intensity":12.5,"total":408.5},{"time":"2023-07-31 01:00:00","intensity":15,"total":423.5},{"time":"2023-07-31 02:00:00","intensity":4,"total":537},{"time":"2023-07-31 03:00:00","intensity":12,"total":647},{"time":"2023-07-31 04:00:00","intensity":5,"total":652},{"time":"2023-07-31 05:00:00","intensity":36.5,"total":688.5},{"time":"2023-07-31 06:00:00","intensity":18,"total":706.5},{"time":"2023-07-31 07:00:00","intensity":26,"total":732.5},{"time":"2023-07-31 08:00:00","intensity":38,"total":770.5},{"time":"2023-07-31 09:00:00","intensity":39.5,"total":810},{"time":"2023-07-31 10:00:00","intensity":38,"total":461.5},{"time":"2023-07-31 11:00:00","intensity":27,"total":488.5},{"time":"2023-07-31 12:00:00","intensity":5.5,"total":494},{"time":"2023-07-31 13:00:00","intensity":2.5,"total":496.5},{"time":"2023-07-31 14:00:00","intensity":4,"total":500.5},{"time":"2023-07-31 15:00:00","intensity":8,"total":508.5},{"time":"2023-07-31 16:00:00","intensity":8.5,"total":517},{"time":"2023-07-31 17:00:00","intensity":0.5,"total":517.5},{"time":"2023-07-31 18:00:00","intensity":10,"total":527.5},{"time":"2023-07-31 19:00:00","intensity":5.5,"total":533},{"time":"2023-07-31 20:00:00","intensity":20.5,"total":557.5},{"time":"2023-07-31 21:00:00","intensity":25,"total":582.5},{"time":"2023-07-31 22:00:00","intensity":25.5,"total":608},{"time":"2023-07-31 23:00:00","intensity":27,"total":635},{"time":"2023-08-01 00:00:00","intensity":78.5,"total":888.5},{"time":"2023-08-01 01:00:00","intensity":32.5,"total":921},{"time":"2023-08-01 02:00:00","intensity":9.5,"total":956.5},{"time":"2023-08-01 03:00:00","intensity":6.5,"total":981.5},{"time":"2023-08-01 04:00:00","intensity":22.5,"total":1004},{"time":"2023-08-01 05:00:00","intensity":1,"total":1005},{"time":"2023-08-01 06:00:00","intensity":0,"total":1005},{"time":"2023-08-01 07:00:00","intensity":8,"total":1013},{"time":"2023-08-01 08:00:00","intensity":6,"total":1019},{"time":"2023-08-01 09:00:00","intensity":5.5,"total":1024.5},{"time":"2023-08-01 10:00:00","intensity":3,"total":924},{"time":"2023-08-01 11:00:00","intensity":5.5,"total":929.5},{"time":"2023-08-01 12:00:00","intensity":8.5,"total":938},{"time":"2023-08-01 13:00:00","intensity":8,"total":946},{"time":"2023-08-01 14:00:00","intensity":0.5,"total":946.5},{"time":"2023-08-01 16:00:00","intensity":0,"total":946.5},{"time":"2023-08-01 18:00:00","intensity":0.5,"total":947},{"time":"2023-08-01 20:00:00","intensity":17,"total":973.5},{"time":"2023-08-01 21:00:00","intensity":1,"total":974.5},{"time":"2023-08-01 22:00:00","intensity":0.5,"total":975},{"time":"2023-08-02 00:00:00","intensity":0,"total":1024.5},{"time":"2023-08-02 02:00:00","intensity":0,"total":1025},{"time":"2023-08-02 03:00:00","intensity":0.5,"total":1025.5},{"time":"2023-08-02 04:00:00","intensity":0,"total":1025.5},{"time":"2023-08-02 06:00:00","intensity":0,"total":1025.5},{"time":"2023-08-02 08:00:00","intensity":0,"total":1025.5},{"time":"2023-08-02 12:00:00","intensity":0,"total":1024.5},{"time":"2023-08-02 14:00:00","intensity":0,"total":1024.5},{"time":"2023-08-02 15:00:00","intensity":0.5,"total":1025},{"time":"2023-08-02 18:00:00","intensity":0,"total":1025},{"time":"2023-08-02 20:00:00","intensity":0,"total":1025},{"time":"2023-08-02 22:00:00","intensity":0,"total":1025}]}' where id = 17;
---------------------------------------------- 2.推演区域
-- drop table if exists nsl.region;
create table nsl.region (
@@ -59,7 +65,9 @@
comment on column nsl.region.type is '类别：1-行政区划，2-重点区域，3-重点沟';
comment on column nsl.region.geom is '空间位置';

select * from nsl.region;
-- insert into nsl.region (name, type, geom) values ('大兴', 1, ST_GeomFromText('MULTIPOLYGON(((116.666748 39.639859,116.659403 39.626287,116.665956 39.654698,116.666748 39.639859)))'));

select id, name, type, st_astext(geom) from nsl.region order by type, id;
---------------------------------------------- 3.雨量计 *
-- drop table if exists nsl.udometer;
create table nsl.udometer (
@@ -78,6 +86,21 @@
comment on column nsl.udometer.geom is '空间位置';

select * from nsl.udometer;
---------------------------------------------- 
---------------------------------------------- 将 MULTIPOLYGON 转换为 POLYGON
select st_astext(ST_GeometryN(geom, generate_series(1, ST_NumGeometries(geom)))) as geom from nsl.region limit 1;