我需要计算变压器过载的连续小时数。通过将使用量除以尺寸并将其乘以100得到百分比，可以确定变压器是否过载。过载查找表包含用于计算的参数。这需要动态完成，这就是为什么在我需要添加更多参数或更改当前参数的情况下，我不对其进行硬编码的原因。如果变压器在四个小时或更长时间内过载150-174.99％，则将其视为过载。如果变压器在两个小时或更长时间内过载175-199.99％，则将被视为过载，并且如果一个小时或一个小时以上过载200％或更高，则该变压器也将被视为过载。 结果集1 具有几乎所需的输出。请注意第三行的警告。使用同一查询来计算结果集2 ，如果该查询仅在当天和该变压器上运行，则结果集是正确的。当我删除变压器上的where子句并加上日期时，计算就变得很奇怪。我需要能够在大量结果上运行，因此限制结果或创建函数将不起作用。输出都是错误的。
最终，我需要获取此数据，并证明变压器＃在一天中[n]小时内过载[n]次。 结果集1 需要显示变压器318过载1次达7个小时。如果从第12小时开始出现另一个过载序列，并持续4个小时，则合计结果应表明变压器过载2次，共11个小时。当我从报表中深入研究此数据时，我想查看下面的结果集。
查询
DROP TABLE #TransformerLoading;
DROP TABLE #OverloadLookup;
CREATE TABLE #TransformerLoading(
TransformerID int,
[Date] date,
Size int,
Usage decimal,
[Hour] int,
OverloadPercent decimal
);
INSERT INTO #TransformerLoading
VALUES
(318, '2019-01-11', 5.00, 7.3728, 1, 147.00),
(318, '2019-01-11', 5.00, 8.2944, 2, 166.00),
(318, '2019-01-11', 5.00, 7.3728, 3, 147.00),
(318, '2019-01-11', 5.00, 7.9872, 4, 160.00),
(318, '2019-01-11', 5.00, 8.6016, 5, 172.00),
(318, '2019-01-11', 5.00, 7.9872, 6, 160.00),
(318, '2019-01-11', 5.00, 9.6000, 7, 192.00),
(318, '2019-01-11', 5.00, 7.9872, 8, 160.00),
(318, '2019-01-11', 5.00, 8.4480, 9, 169.00),
(318, '2019-01-11', 5.00, 7.5264, 10, 151.00),
(318, '2019-01-11', 5.00, 7.0656, 11, 141.00),
(318, '2019-01-11', 5.00, 7.8336, 12, 157.00),
(318, '2019-01-11', 5.00, 6.6048, 13, 132.00),
(318, '2019-01-11', 5.00, 6.2976, 14, 126.00),
(318, '2019-01-11', 5.00, 6.6048, 15, 132.00),
(318, '2019-01-11', 5.00, 6.6048, 16, 132.00),
(318, '2019-01-11', 5.00, 6.4512, 17, 129.00),
(318, '2019-01-11', 5.00, 5.5296, 18, 111.00),
(318, '2019-01-11', 5.00, 5.0688, 19, 101.00),
(318, '2019-01-11', 5.00, 5.2224, 20, 104.00),
(318, '2019-01-11', 5.00, 6.1440, 21, 123.00),
(318, '2019-01-11', 5.00, 6.2976, 22, 126.00),
(318, '2019-01-11', 5.00, 3.6864, 23, 74.00),
(318, '2019-01-11', 5.00, 3.6864, 24, 74.00),
(3403, '2019-01-11', 15.00, 146.7000, 1, 978.00),
(3403, '2019-01-11', 15.00, 147.1500, 2, 981.00),
(3403, '2019-01-11', 15.00, 146.7000, 3, 978.00),
(3403, '2019-01-11', 15.00, 147.6000, 4, 984.00),
(3403, '2019-01-11', 15.00, 146.7000, 5, 978.00),
(3403, '2019-01-11', 15.00, 147.6000, 6, 984.00),
(3403, '2019-01-11', 15.00, 147.6000, 7, 984.00),
(3403, '2019-01-11', 15.00, 147.6000, 8, 984.00),
(3403, '2019-01-11', 15.00, 147.6000, 9, 984.00),
(3403, '2019-01-11', 15.00, 147.1500, 10, 981.00),
(3403, '2019-01-11', 15.00, 145.8000, 11, 972.00),
(3403, '2019-01-11', 15.00, 144.9000, 12, 966.00),
(3403, '2019-01-11', 15.00, 145.8000, 13, 972.00),
(3403, '2019-01-11', 15.00, 145.3500, 14, 969.00),
(3403, '2019-01-11', 15.00, 144.9000, 15, 966.00),
(3403, '2019-01-11', 15.00, 126.9000, 16, 846.00),
(3403, '2019-01-11', 15.00, 114.7500, 17, 765.00),
(3403, '2019-01-11', 15.00, 114.3000, 18, 762.00),
(3403, '2019-01-11', 15.00, 115.2000, 19, 768.00),
(3403, '2019-01-11', 15.00, 112.9500, 20, 753.00),
(3403, '2019-01-11', 15.00, 112.5000, 21, 750.00),
(3403, '2019-01-11', 15.00, 112.9500, 22, 753.00),
(3403, '2019-01-11', 15.00, 112.9500, 23, 753.00),
(3403, '2019-01-11', 15.00, 112.9500, 24, 753.00)
;
CREATE TABLE #OverloadLookup(
[Hours] int,
MinPercent decimal,
MaxPercent decimal
);
insert into #OverloadLookup
VALUES
(4,150,174.99),
(2,175,199.99),
(1,200,99999.99)
;
with a as (
select *
,row_number() OVER (Order by date, [hour]) RowNumber,
case when [hours] is null then 0 else 1 end IsOverloaded,
row_number() over (partition by transformerid, date, case when [hours] is null then 0 else 1 end order by date, [hour]) PartitionedRowNumber,
GroupByRowNumber = row_number() OVER (Order by date, [hour]) - row_number() over (partition by transformerid, date, case when [hours] is null then 0 else 1 end order by date, [hour])
from #TransformerLoading tl
left join #OverloadLookup ol on tl.OverloadPercent between ol.MinPercent and ol.MaxPercent
where tl.Date = '1/11/2019' --and tl.TransformerID = 3403
)
select TransformerID, date, size, usage, hour, OverloadPercent, [Hours], MinPercent, MaxPercent, IsOverloaded,
ROW_NUMBER() OVER (Partition by GroupByRowNumber ORDER BY GroupBYROWNUMBER, [Hour]) ConsecutiveCount
FROM a
order by TransformerID, Date, Hour
OverloadLookup
Hours MinPercent MaxPercent
4 150 174.99
2 175 199.99
1 200 99999.99
结果集1
TransformerID date size usage hour OverloadPercent Hours MinPercent MaxPercent IsOverloaded ConsecutiveCount
318 2019-01-11 5.00 7.3728 1 147.00 NULL NULL NULL 0 1
318 2019-01-11 5.00 8.2944 2 166.00 4 150 174.99 1 1
318 2019-01-11 5.00 7.3728 3 147.00 NULL NULL NULL 0 2 (This needs to be one)
318 2019-01-11 5.00 7.9872 4 160.00 4 150 174.99 1 1
318 2019-01-11 5.00 8.6016 5 172.00 4 150 174.99 1 2
318 2019-01-11 5.00 7.9872 6 160.00 4 150 174.99 1 3
318 2019-01-11 5.00 9.6000 7 192.00 2 175 199.99 1 4
318 2019-01-11 5.00 7.9872 8 160.00 4 150 174.99 1 5
318 2019-01-11 5.00 8.4480 9 169.00 4 150 174.99 1 6
318 2019-01-11 5.00 7.5264 10 151.00 4 150 174.99 1 7
318 2019-01-11 5.00 7.0656 11 141.00 NULL NULL NULL 0 1
318 2019-01-11 5.00 7.8336 12 157.00 4 150 174.99 1 1
318 2019-01-11 5.00 6.6048 13 132.00 NULL NULL NULL 0 1
318 2019-01-11 5.00 6.2976 14 126.00 NULL NULL NULL 0 2
318 2019-01-11 5.00 6.6048 15 132.00 NULL NULL NULL 0 3
318 2019-01-11 5.00 6.6048 16 132.00 NULL NULL NULL 0 4
318 2019-01-11 5.00 6.4512 17 129.00 NULL NULL NULL 0 5
318 2019-01-11 5.00 5.5296 18 111.00 NULL NULL NULL 0 6
318 2019-01-11 5.00 5.0688 19 101.00 NULL NULL NULL 0 7
318 2019-01-11 5.00 5.2224 20 104.00 NULL NULL NULL 0 8
318 2019-01-11 5.00 6.1440 21 123.00 NULL NULL NULL 0 9
318 2019-01-11 5.00 6.2976 22 126.00 NULL NULL NULL 0 10
318 2019-01-11 5.00 3.6864 23 74.00 NULL NULL NULL 0 11
318 2019-01-11 5.00 3.6864 24 74.00 NULL NULL NULL 0 12
结果集2
TransformerID date size usage hour OverloadPercent Hours MinPercent MaxPercent IsOverloaded ConsecutiveCount
3403 2019-01-11 15.00 146.7000 1 978.00 1 200 9999999.00 1 1
3403 2019-01-11 15.00 147.1500 2 981.00 1 200 9999999.00 1 1 (This needs to be two)
3403 2019-01-11 15.00 146.7000 3 978.00 1 200 9999999.00 1 1 (This needs to be three)
3403 2019-01-11 15.00 147.6000 4 984.00 1 200 9999999.00 1 1 (ect...)
3403 2019-01-11 15.00 146.7000 5 978.00 1 200 9999999.00 1 3
3403 2019-01-11 15.00 147.6000 6 984.00 1 200 9999999.00 1 1
3403 2019-01-11 15.00 147.6000 7 984.00 1 200 9999999.00 1 3
3403 2019-01-11 15.00 147.6000 8 984.00 1 200 9999999.00 1 1
3403 2019-01-11 15.00 147.6000 9 984.00 1 200 9999999.00 1 3
3403 2019-01-11 15.00 147.1500 10 981.00 1 200 9999999.00 1 1
3403 2019-01-11 15.00 145.8000 11 972.00 1 200 9999999.00 1 2
3403 2019-01-11 15.00 144.9000 12 966.00 1 200 9999999.00 1 2
3403 2019-01-11 15.00 145.8000 13 972.00 1 200 9999999.00 1 1
3403 2019-01-11 15.00 145.3500 14 969.00 1 200 9999999.00 1 2
3403 2019-01-11 15.00 144.9000 15 966.00 1 200 9999999.00 1 1
3403 2019-01-11 15.00 126.9000 16 846.00 1 200 9999999.00 1 2
3403 2019-01-11 15.00 114.7500 17 765.00 1 200 9999999.00 1 1
3403 2019-01-11 15.00 114.3000 18 762.00 1 200 9999999.00 1 2
3403 2019-01-11 15.00 115.2000 19 768.00 1 200 9999999.00 1 1
3403 2019-01-11 15.00 112.9500 20 753.00 1 200 9999999.00 1 2
3403 2019-01-11 15.00 112.5000 21 750.00 1 200 9999999.00 1 1
3403 2019-01-11 15.00 112.9500 22 753.00 1 200 9999999.00 1 2
3403 2019-01-11 15.00 112.9500 23 753.00 1 200 9999999.00 1 1
3403 2019-01-11 15.00 112.9500 24 753.00 1 200 9999999.00 1 2