1. 网格化数据优化

feiyu02

2021-11-17 306ca22e966c0dc25841dcb7bd3db9db7c013bd9

1. 网格化数据优化

 src/main/kotlin/com/flightfeather/uav/lightshare/service/impl/RealTimeDataServiceImpl.kt

@@ -21,6 +21,7 @@
import java.io.ByteArrayInputStream
import java.text.SimpleDateFormat
import java.time.LocalDateTime
import java.time.ZoneId
import java.time.format.DateTimeFormatter
import java.util.*
import javax.servlet.http.HttpServletResponse
@@ -319,6 +320,43 @@
    }

    override fun dataCalibration(): BaseResponse<String> {
        return BaseResponse(true)
        var page = 1
        var total = -1
        var count = 0

        println("------数据优化start------")
        while (total == -1 || page <= total) {
            val p = PageHelper.startPage<RealTimeDataGrid>(page, 50000)
            val dataList1 = realTimeDataGridMapper.selectByExample(Example(RealTimeDataGrid::class.java).apply {
                createCriteria().andBetween("dataTime", "2021-06-19 00:00:00", "2021-10-21 00:00:00")
            })
            val res = getOriginData("0d0000000001", "2021-06-19 00:00:00", "2021-10-21 00:00:00", page, 50000)
            val dataList2 = res.data ?: emptyList()

            total = p.pages

            if (page == 1) {
                println("总页数：$total")
            }
            println("当前页数：$page")

            for (i in dataList1.indices) {
                if (i >= dataList2.size) break
                val d1 = dataList1[i]
                val d2 = dataList2[i]
                // 判断小时
                val h = LocalDateTime.ofInstant(d1.dataTime?.toInstant(), ZoneId.systemDefault()).hour
                val scale =
                // 各预处理后的因子（除H2S）乘系数
                // 单独把原始的H2S乘以系数
                // 更新秒级值
            }
//            val result = epwDataPrep.mDataPrep2(dataList)
//            count += airDataRepository.savePrepData2(result)

            page++
        }

        return BaseResponse(count > 0, data = "插入数据: ${count}条")
    }
}