如何加载值而不是Null值

Question

我的表：

如果power_output值之间只有一个'Zero'，那么我需要检查绝对平均值less than 5%是否为绝对平均值(0.05*absolute average value)。

如果是这种情况，我们需要将零值更改为前一行值的平均值。

如果power_output的值逐渐下降，我需要检查该值是否为greater than 0.25*Name_plate。

如果是这种情况，我需要更新上一行值。

Sitename   |date&time   |Power_output   |Name_Plate| 

ACT0001   | 2013-07-21 02:00:00.000   |196.852984494331   |100

ACT0001   | 2013-07-21 02:00:00.000   |196.860450855433   |200

xyz0001   |2013-07-21 02:00:00.000    |196.852984494331   | 100

xwz0001   ||2013-07-21 02:00:00.000 || 196.860450855433 || 200

xyq0001   ||2013-07-21 02:00:00.000 || 196.958395639561 || 100

xys0001   ||2013-07-21 02:00:00.000 || 197.045580192147 || 150

xyd0001   ||2013-07-21 02:00:00.000 || 197.089550181982 || 100

xye0001   ||2013-07-21 02:00:00.000 || 197.20098185022  || 200

xyg0001   ||2013-07-21 02:00:00.000 || 0        || 200

cfg0001   ||2013-07-21 02:00:00.000 || 197.412144323522 || 200

acb0001   ||2013-07-21 02:00:00.000 || 196.852984494331 || 100

bdf0001   ||2013-07-21 02:00:00.000 || 196.860450855433 || 150

olk0001   ||2013-07-21 02:00:00.000 || 196.886233049016 || 100

ujh0001   ||2013-07-21 02:00:00.000 || 0        || 100

iop0001   ||2013-07-21 02:00:00.000 || 196.852984494331 || 100

qrw0001   ||2013-07-21 02:00:00.000 || 196.852984494331 || 100

kml0001   ||2013-07-21 02:00:00.000 || 196.852984494331 || 100

abc0001   ||2013-07-21 02:00:00.000 || 196.852984494331 || 100

ACT0001   ||2013-07-08 18:00:00.000 ||  197.161464379509|| 200

ACT0001   ||2013-07-08 19:00:00.000 ||  197.203924005547|| 200

ACT0001   ||2013-07-08 20:00:00.000 ||  197.109157360779|| 200

ACT0001   ||2013-07-08 21:00:00.000 ||  197.062176347927|| 200

ACT0001   ||2013-07-08 22:00:00.000 ||  196.933951782133|| 200

ACT0001   ||2013-07-08 23:00:00.000 ||  196.720954466091|| 200

ACT0001   ||2013-07-09 00:00:00.000 ||  53.4555526290512|| 200

ACT0001   ||2013-07-09 01:00:00.000 ||  0       || 200

ACT0001   ||2013-07-09 02:00:00.000 ||  0       || 200

ACT0001   ||2013-07-09 03:00:00.000 ||  0       || 200

ACT0001   ||2013-07-09 04:00:00.000 ||  0       || 200

ACT0001   ||2013-07-09 05:00:00.000 ||  0       || 200

ACT0001   ||2013-07-09 06:00:00.000 ||  0       || 200

ACT0001   ||2013-07-09 07:00:00.000 ||  0       || 200

ACT0001   ||2013-07-09 08:00:00.000 ||  0       || 200

ACT0001   ||2013-07-09 09:00:00.000 ||  0       || 200

ACT0001   ||2013-07-09 10:00:00.000 ||  0       || 200

ACT0001   ||2013-07-09 11:00:00.000 ||  0       || 200

ACT0001   ||2013-07-09 12:00:00.000 ||  0       || 200

ACT0001   ||2013-07-09 13:00:00.000 ||  0       || 200

ACT0001   ||2013-07-09 14:00:00.000 ||  0       || 200

ACT0001   ||2013-07-09 15:00:00.000 ||  0       || 200

ACT0001   ||2013-07-09 16:00:00.000 ||  0       || 200

ACT0001   ||2013-07-09 17:00:00.000 ||  0       || 200

ACT0001   ||2013-07-09 18:00:00.000 ||  0       || 200

ACT0001   ||2013-07-09 19:00:00.000 ||  0       || 200

ACT0001   ||2013-07-09 20:00:00.000 ||  0       || 200

ACT0001   ||2013-07-09 21:00:00.000 ||  0       || 200

ACT0001   ||2013-07-09 22:00:00.000 ||  0       || 200

ACT0001   ||2013-07-09 23:00:00.000 ||  0       || 200

ACT0001   ||2013-07-10 00:00:00.000 ||  0       || 200

ACT0001   ||2013-07-10 01:00:00.000 ||  0       || 200

ACT0001   ||2013-07-10 02:00:00.000 ||  0       || 200

ACT0001   ||2013-07-10 03:00:00.000 ||  0       || 200

ACT0001   ||2013-07-10 04:00:00.000 ||  0       || 200

ACT0001   ||2013-07-10 05:00:00.000 ||  0       || 200

ACT0001   ||2013-07-10 06:00:00.000 ||  0       || 200

ACT0001   ||2013-07-10 07:00:00.000 ||  0       || 200

ACT0001   ||2013-07-10 08:00:00.000 ||  0       || 200

ACT0001   ||2013-07-10 09:00:00.000 ||  0       || 200

ACT0001   ||2013-07-10 10:00:00.000 ||  0       || 200

ACT0001   ||2013-07-10 11:00:00.000 ||  0       || 200

ACT0001   ||2013-07-10 12:00:00.000 ||  0       || 200

ACT0001   ||2013-07-10 13:00:00.000 ||  0       || 200 

ACT0001   ||2013-07-10 14:00:00.000 ||  0       || 200

ACT0001   ||2013-07-10 15:00:00.000 ||  0       || 200

ACT0001   ||2013-07-10 16:00:00.000 ||  0       || 200

ACT0001   ||2013-07-10 17:00:00.000 ||  0       || 200

ACT0001   ||2013-07-10 18:00:00.000 ||  0       || 200

ACT0001   ||2013-07-10 19:00:00.000 ||  0       || 200

ACT0001   ||2013-07-10 20:00:00.000 ||  0       || 200

ACT0001   ||2013-07-10 21:00:00.000 ||  0       || 200

ACT0001   ||2013-07-10 22:00:00.000 ||  0       || 200

ACT0001   ||2013-07-10 23:00:00.000 ||  0       || 200

ACT0001   ||2013-07-11 00:00:00.000 ||  0       || 200

ACT0001   ||2013-07-11 01:00:00.000 ||  0       || 200

ACT0001   ||2013-07-11 02:00:00.000 ||  0       || 200

ACT0001   ||2013-07-11 03:00:00.000 ||  0       || 200

ACT0001   ||2013-07-11 04:00:00.000 ||  0       || 200

ACT0001   ||2013-07-11 05:00:00.000 ||  0       || 200

ACT0001   ||2013-07-11 06:00:00.000 ||  0       || 200

ACT0001   ||2013-07-11 07:00:00.000 ||  0       || 200

ACT0001   ||2013-07-11 08:00:00.000 ||  0       || 200

ACT0001   ||2013-07-11 09:00:00.000 ||  0       || 200

ACT0001   ||2013-07-11 10:00:00.000 ||  0       || 200

ACT0001   ||2013-07-11 11:00:00.000 ||  0       || 200

ACT0001   ||2013-07-11 12:00:00.000 ||  0       || 200

ACT0001   ||2013-07-11 13:00:00.000 ||  0       || 200

ACT0001   ||2013-07-11 14:00:00.000 ||  69.2397589844922|| 200

ACT0001   ||2013-07-11 15:00:00.000 ||  129.878528692876|| 200

ACT0001   ||2013-07-11 16:00:00.000 ||  129.946054198695|| 200

输出的一部分应该是这样的（这是他们没有连续零的时候）

* xyd0001 || 2013-07-21 02：00：00.000 || 197.089550181982 || 100

xye0001   ||2013-07-21 02:00:00.000 || 197.20098185022  || 200

xyg0001   ||2013-07-21 02:00:00.000 ||197.20098185022   || 200

cfg0001   ||2013-07-21 02:00:00.000 || 197.412144323522 || 200*

• 如果它们是连续的零，并且它们是Power_output列中的一个下降，那么我需要计算行的输出绝对平均值（前一个值为零和零后值（NOT NULL VALUES））在Power_output列中，将其与0.05 *绝对平均值进行比较，

如果答案少于（0.05 *绝对平均值）的5％，那么我需要将前一个值复制为零到NULL列中。

如果答案是（0.05 *绝对平均值）的5％以上，那么我需要保留零值。