一段关于查询承运商信息的存储过程

本文档提供了SQL脚本示例,包括用于创建视图和存储过程的详细步骤。视图从多个表中汇总数据,而存储过程则提供了一种获取指定时间段内客户类型报告的方法。

仅供体会,无商业用途 (^_^)

---------------------------------------------------view-->vt_cysKh-----------------------------------------------------
if exists (select * from sysobjects where name = 'vt_cysKh')
 drop view vt_cysKh
go
create view vt_cysKh
as
 select n.cysmc,m.sum_price,m.khtype,m.khDate
 from 
 (
  select tk.cysbm,sum(tk.xmTimes*(cast(kk.money as int))) as sum_price, kk.khtype,tk.khDate 
  from T_kfxmpf tk  inner join kkxm kk on (tk.xmid =kk.id) 
  where state=3 group by tk.cysbm,kk.khtype,tk.khDate,tk.khDate
 ) as m, t_cysxx as n 
 where m.cysbm=n.cysbm
go

----------------------------------------procedure-->proc_fetchCysReport-------------------------------------------
if exists (select * from sysobjects where name = 'proc_fetchCysReport')
 drop procedure proc_fetchCysReport
go
create procedure proc_fetchCysReport
 @startDate varchar(16),
 @endDate  varchar(16)
as
declare cur cursor for select distinct khtype from (select n.cysmc,m.khtype from (select tk.cysbm, kk.khtype from T_kfxmpf tk  inner join kkxm kk on (tk.xmid =kk.id) where state=3) as m, t_cysxx as n where m.cysbm=n.cysbm) as s order by khtype asc
declare 
 @khtype varchar(20),
 @sum varchar(300),
 @case varchar(500),
 @sql nvarchar(1000)
set @sum = ''
set @case = ''
set @sql = ''
if @startDate = ''
   select @startDate = min(tk.khDate) from T_kfxmpf tk  inner join kkxm kk on (tk.xmid =kk.id) where state=3
if @endDate = ''
   select @endDate = max(tk.khDate) from T_kfxmpf tk  inner join kkxm kk on (tk.xmid =kk.id) where state=3
open cur
 fetch next from cur into @khtype
while @@fetch_status =0
begin
 set @sum = @sum + 'sum(' + @khtype + ') as '  + @khtype +','
 set @case = @case + '(case khtype when '''  + @khtype + ''' then isnull(sum_price,0) end) as ' + @khtype +','
 fetch next from cur into @khtype
end
close cur
deallocate cur

if right(@case,1) = ','
 set @case = stuff(@case, len(@case), 1, ' from vt_cysKh where khDate between ''' + @startDate + ''' and ''' + @endDate +'''')

if right(@sum,1) = ','
 set @sum = stuff(@sum,len(@sum),1,'')

set @sql = ' select cysmc, ' + @sum + ' from ( select cysmc, ' + @case + ') as b group by cysmc'
execute  sp_executesql @sql

select distinct b.khtype,a.sp 
from (select khtype,sum(sum_price) as sp from vt_cysKh where khDate between @startDate and @endDate  group by khtype) as a 
right outer join vt_cysKh as b on a.khtype = b.khtype
go

/*
select * from vt_cysKh
execute proc_fetchCysReport '2010-10-01','2011-02-14'
*/

【无人机】基于改进粒子群算法的无人机路径规划研究[和遗传算法、粒子群算法进行比较](Matlab代码实现)内容概要:本文围绕基于改进粒子群算法的无人机路径规划展开研究,重点探讨了在复杂环境中利用改进粒子群算法(PSO)实现无人机三维路径规划的方法,并将其与遗传算法(GA)、标准粒子群算法等传统优化算法进行对比分析。研究内容涵盖路径规划的多目标优化、避障策略、航路点约束以及算法收敛性和寻优能力的评估,所有实验均通过Matlab代码实现,提供了完整的仿真验证流程。文章还提到了多种智能优化算法在无人机路径规划中的应用比较,突出了改进PSO在收敛速度和全局寻优方面的优势。; 适合人群:具备一定Matlab编程基础和优化算法知识的研究生、科研人员及从事无人机路径规划、智能优化算法研究的相关技术人员。; 使用场景及目标:①用于无人机在复杂地形或动态环境下的三维路径规划仿真研究;②比较不同智能优化算法(如PSO、GA、蚁群算法、RRT等)在路径规划中的性能差异;③为多目标优化问题提供算法选型和改进思路。; 阅读建议:建议读者结合文中提供的Matlab代码进行实践操作,重点关注算法的参数设置、适应度函数设计及路径约束处理方式,同时可参考文中提到的多种算法对比思路,拓展到其他智能优化算法的研究与改进中。
评论
添加红包

请填写红包祝福语或标题

红包个数最小为10个

红包金额最低5元

当前余额3.43前往充值 >
需支付:10.00
成就一亿技术人!
领取后你会自动成为博主和红包主的粉丝 规则
hope_wisdom
发出的红包
实付
使用余额支付
点击重新获取
扫码支付
钱包余额 0

抵扣说明:

1.余额是钱包充值的虚拟货币,按照1:1的比例进行支付金额的抵扣。
2.余额无法直接购买下载,可以购买VIP、付费专栏及课程。

余额充值