优化 AD盒 timegrid 1.28ms 转 1ms，使用 线性插值

Project.FLY.FlyADBase/FlyADBase/FlyAD7.cs

@@ -1066,17 +1066,57 @@ namespace FlyADBase
                         List<int> data_1ms = new List<int>();
                         DateTime idealTime = dt;
                         DateTime actTime = dt;
+
+                        //for (int j = 0; j < data.Count(); j++)
+                        //{
+                        //    int idx2 = data.Count() - 1 - j;
+                        //    int ad = data[idx2];
+                        //    actTime -= curr_ad_ts;
+
+                        //    while (idealTime > actTime)
+                        //    {
+                        //        data_1ms.Add(ad);//导出数据
+                        //        idealTime -= TimeSpan.FromMilliseconds(1);//导出数据时间累加
+                        //    }
+                        //}
+
+                        //线性插值放入数据
                         for (int j = 0; j < data.Count(); j++)
                         {
-                            int idx2 = data.Count() - 1 - j;
-                            int ad = data[idx2];
-                            actTime -= curr_ad_ts;
+                            int idx = data.Count() - 1 - j;
+                            int ad1, ad2;
+                            DateTime dt1,dt2;
+                            if (idx <= 0)
+                            {
+                                //最后一个数据了
+                                dt2 = actTime;
+                                ad2 = data[idx];
+
+                                dt1 = actTime + curr_ad_ts;
+                                ad1 = data[idx + 1];
+                                
+                            }
+                            else 
+                            {
+                                dt2 = actTime - curr_ad_ts;
+                                ad2 = data[idx-1];
+
+                                dt1 = actTime;
+                                ad1 = data[idx];
+                            }
+
 
-                            while (idealTime > actTime)
+                            while (idealTime >= dt2)
                             {
+                                int t = (int)(idealTime - dt2).Ticks;
+                                int tick = (int)curr_ad_ts.Ticks;
+                                int ad = t * (ad1 - ad2) / tick + ad2;
+
                                 data_1ms.Add(ad);//导出数据
                                 idealTime -= TimeSpan.FromMilliseconds(1);//导出数据时间累加
                             }
+
+                            actTime -= curr_ad_ts;
                         }
                         data_1ms.Reverse();
                         data = data_1ms.ToArray();