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组织index目录

jxing 4 years ago
parent
commit
3b271398f0

+ 0 - 1
docs/dev/data-center/index.js

@@ -18,7 +18,6 @@ const content = [
         path: "/dev/data-center/relations/",
         children: [
             ["/dev/data-center/relations/belongs/Bd2Sp", "建筑下的业务空间"],
-            ["/dev/data-center/relations/belongs/CalcArea", "计算面积"],
             ["/dev/data-center/relations/belongs/Eq2Bd", "设备所在建筑"],
             ["/dev/data-center/relations/belongs/Eq2Fl", "设备所在楼层"]
         ]

+ 50 - 0
docs/dev/data-center/relations/belongs/Sp2Fl.md

@@ -0,0 +1,50 @@
+在多个楼层划分一个模型时, 根据已有的业务空间所属楼层数据重新计算业务空间所属楼层
+## 前置条件
+    1. 楼层有外轮廓
+    2. 业务空间有外轮廓
+    3. 有2个或2个以上的楼层的ModelId相同(意思是一个模型划分成了多个楼层)
+    4. 这些ModelId相同的楼层下有所属的业务空间关系
+## 处理流程
+    1. 查出所有有所在楼层, 并且外轮廓不是null的业务空间
+    2. 根据所在楼层, 业务空间分区来将业务空间分组
+    3. 计算每个分组内的业务空间的相邻关系
+    计算相邻算法:
+    1. 首先判断围成业务空间的线段, 两两空间之间是否有近似平行的线段(线段偏转误差小于1度)
+        1). 近似平行判断: 首先获取两个线段的斜率, 再计算斜率的反正切(即与x轴的角度, 不过是以pi为单位), 再判断两个角度差的绝对值是否小于1度
+    2. 如果有近似平行的线段, 判断是否相互有投影在线段上, 有投影在线段上, 则认为是两平行线段有重合部分, 业务空间有相邻的可能性
+    3. 在判断互相有投影点在对方线段上之后, 判断投影线的长度, 是否小于250mm(墙的最大厚度), 如果小于250mm则认为两空间相邻
+## 函数
+```
+create or replace function public.rel_sp2sp1(project_id character varying) returns boolean
+as
+$$
+from relations.src.business_space_adjacent.adjacent import calc_space_adjacent
+try:
+    # 将下面对数据库的操作作为一个事务, 出异常则自动rollback
+    with plpy.subtransaction():
+        delete_plan = plpy.prepare("delete from r_spatial_connection where project_id = $1 and sign = 2", ["text"])
+        delete_plan.execute([project_id])
+        space_data_plan = plpy.prepare("SELECT id, project_id, floor_id, object_type, bim_location, outline FROM zone_space_base where project_id = $1 and outline is not null and floor_id is not null order by floor_id, object_type", ["text"])
+        space_data = space_data_plan.execute([project_id])
+        rel_data = calc_space_adjacent(space_data)
+        for single_rel in rel_data:
+            delete_duplicate_plan = plpy.prepare("delete from r_spatial_connection where space_id_one = $1 and space_id_two = $2", ["text", "text"])
+            delete_duplicate_plan.execute([single_rel['space_id_one'], single_rel['space_id_two']])
+            insert_plan = plpy.prepare("insert into r_spatial_connection(project_id, location_one, location_two, space_id_one, space_id_two, sign, graph_type, floor_id, zone_type) values($1, $2, $3, $4, $5, 2, 'SpaceNeighborhood', $6, $7)", ["text", "text", "text", "text", "text", "text", "text"])
+            insert_plan.execute([project_id, single_rel['location_one'], single_rel['location_two'], single_rel['space_id_one'], single_rel['space_id_two'], single_rel['floor_id'], single_rel['zone_type']])
+except Exception as e:
+    plpy.warning(e)
+    return False
+else:
+    return True
+$$
+LANGUAGE 'plpython3u' VOLATILE;
+
+
+select public.rel_sp2sp1('Pj1101050001')
+```
+
+## 入参
+    1. 项目id
+## 例子
+    select public.rel_sp2sp1('Pj1102290002');

+ 2 - 0
docs/dev/data-center/relations/belongs/rel_dependency

@@ -5,6 +5,7 @@
 |Eq2Bd |Eq2Fl   |
 |Eq2Sh |Eq2Sp   |
 |Eq2Sp |Eq2Fl   |
+|Eq2Sp |Sp2Fl   |
 |Pe2Bd |Eq2Bd   |
 |Pe2Fl |Eq2Fl   |
 |Pe2Sh |Eq2Sh   |
@@ -13,3 +14,4 @@
 |Sy2Fl |Eq2Fl   |
 |Sy2Sh |Eq2Sh   |
 |Sy2Sp |Eq2Sp   |
+