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PowerGridForecast 類別

定義

包含裝置所連線電源網格線的相關信息。 數據是用來預測工作負載發生的時間移轉,或在密集時間減少能源耗用量。

public ref class PowerGridForecast sealed
/// [Windows.Foundation.Metadata.ContractVersion(Windows.Devices.Power.PowerGridApiContract, 65536)]
/// [Windows.Foundation.Metadata.MarshalingBehavior(Windows.Foundation.Metadata.MarshalingType.Agile)]
/// [Windows.Foundation.Metadata.Threading(Windows.Foundation.Metadata.ThreadingModel.Both)]
class PowerGridForecast final
[Windows.Foundation.Metadata.ContractVersion(typeof(Windows.Devices.Power.PowerGridApiContract), 65536)]
[Windows.Foundation.Metadata.MarshalingBehavior(Windows.Foundation.Metadata.MarshalingType.Agile)]
[Windows.Foundation.Metadata.Threading(Windows.Foundation.Metadata.ThreadingModel.Both)]
public sealed class PowerGridForecast
Public NotInheritable Class PowerGridForecast
繼承
Object Platform::Object IInspectable PowerGridForecast
屬性

Windows 需求

裝置系列
Windows Desktop Extension SDK (已於 10.0.26100.0 引進)
API contract
Windows.Devices.Power.PowerGridApiContract (已於 v1.0 引進)

範例

using Windows.Devices.Power;

void PrintBestTimes(PowerGridForecast forecast)
{
    double bestSeverity = double.MaxValue;
    double bestLowImpactSeverity = double.MaxValue;
    DateTime bestTime = DateTime.MaxValue;
    DateTime bestLowImpactTime = DateTime.MaxValue;
    TimeSpan blockDuration = forecast.BlockDuration;
    DateTime startTime = forecast.StartTime;
    IList<PowerGridData> forecastSignals = forecast.Forecast;

    if (forecastSignals.Count == 0)
    {
        Console.WriteLine("Error encountered with getting forecast; try again later.");
        return;
    }

    foreach (PowerGridData data in forecastSignals)
    {
        if (data.Severity < bestSeverity)
        {
            bestSeverity = data.Severity;
            bestTime = startTime;
        }

        if (data.IsLowUserExperienceImpact && data.Severity < bestLowImpactSeverity)
        {
            bestLowImpactSeverity = data.Severity;
            bestLowImpactTime = startTime;
        }

        startTime = startTime + blockDuration;
    }

    if (bestLowImpactTime != DateTime.MaxValue)
    {
        DateTime endBestLowImpactTime = bestLowImpactTime + blockDuration;
        Console.WriteLine($"Lowest severity during low impact is {bestLowImpactSeverity}, which starts at {bestLowImpactTime.ToString()}, and ends at {endBestLowImpactTime}.");
    }
    else
    {
        Console.WriteLine("There's no low-user-impact time in which to do work.");
    }

    if (bestTime != DateTime.MaxValue)
    {
        DateTime endBestSeverity = bestTime + blockDuration;
        Console.WriteLine($"Lowest severity is {bestSeverity}, which starts at {bestTime.ToString()}, and ends at {endBestSeverity.ToString()}.");
    }
}

PowerGridForecast forecast = PowerGridForecast.GetForecast();
PrintBestTimes(forecast);
#include "pch.h"
#include <iostream>
#include <winrt/Windows.Foundation.Collections.h>
#include <winrt/Windows.Devices.Power.h>

using namespace winrt::Windows::Devices::Power;
using namespace winrt::Windows::Foundation::Collections;
using namespace winrt::Windows::Foundation;

void PrintFullForecast(PowerGridForecast const& forecast)
{
    IVectorView<PowerGridData> forecastSignals = forecast.Forecast();
    DateTime forecastStartTime = forecast.StartTime();
    TimeSpan forecastBlockDuration = forecast.BlockDuration();
    DateTime blockStartTime = forecastStartTime;

    // On failure the forecast will be empty.
    if (forecastSignals.Size() == 0)
    {
        std::wcout << L"Error encountered while reading the forecast; try again later." << std::endl;
        return;
    }

    // Iterate through the forecast printing all the data.
    for (auto const& block : forecastSignals)
    {
        auto severity = block.Severity();
        auto isLowImpact = block.IsLowUserExperienceImpact();

        std::wcout << L"Start time - ";
        PrintDateTime(blockStartTime, true);
        std::wcout << L" | End time - ";
        PrintDateTime(blockStartTime + forecastBlockDuration, true);
        std::wcout << L" | Intensity - " << severity << L" | IsLowImpactTime - " << (isLowImpact ? L"TRUE" : L"FALSE") << std::endl;

        blockStartTime = blockStartTime + forecastBlockDuration;
    }
}

void PrintBestTimes(PowerGridForecast const& forecast)
{
    IVectorView<PowerGridData> forecastSignals = forecast.Forecast();
    DateTime forecastStartTime = forecast.StartTime();
    TimeSpan forecastBlockDuration = forecast.BlockDuration();
    DateTime blockStartTime = forecastStartTime;

    // On failure the forecast will be empty
    if (forecastSignals.Size() == 0)
    {
        std::wcout << L"Error encountered while reading the forecast; try again later." << std::endl;
        return;
    }

    DateTime bestSeverityTimeUTC = DateTime::max();
    DateTime bestSeverityTimeInLowUserImpactTimeUTC = DateTime::max();

    // 1.0 is maximum severity the API can return.
    double bestSeverity = 1.0;
    double bestSeverityInLowUserImpactTime = 1.0;

    // Iterate through the forecast looking for the best times.
    for (auto const& block : forecastSignals)
    {
        auto severity = block.Severity();
        auto isLowImpact = block.IsLowUserExperienceImpact();

        // Check if there is lower severity
        if (severity < bestSeverity)
        {
            bestSeverity = severity;
            bestSeverityTimeUTC = blockStartTime;
        }

        // Check whether there's a lower severity that's also at a time with low user impact.
        if (isLowImpact && severity < bestSeverityInLowUserImpactTime)
        {
            bestSeverityInLowUserImpactTime = severity;
            bestSeverityTimeInLowUserImpactTimeUTC = blockStartTime;
        }

        blockStartTime = blockStartTime + forecastBlockDuration;
    }

    // Print out the best times only if they've been set.
    if (bestSeverityTimeUTC != DateTime::max())
    {
        std::wcout << L"Best time to do work is ";
        PrintDateTime(bestSeverityTimeUTC, true);
        std::wcout << L" with a severity of " << bestSeverity;
        std::wcout << L" and ends at ";
        PrintDateTime(bestSeverityTimeUTC + forecastBlockDuration, true);
        std::wcout << std::endl;
    }

    if (bestSeverityTimeInLowUserImpactTimeUTC != DateTime::max())
    {
        std::wcout << L"Best time with low user impact is ";
        PrintDateTime(bestSeverityTimeInLowUserImpactTimeUTC, true);
        std::wcout << L" with a severity of " << bestSeverityInLowUserImpactTime;
        std::wcout << L" and ends at ";
        PrintDateTime(bestSeverityTimeInLowUserImpactTimeUTC + forecastBlockDuration, true);
        std::wcout << std::endl;
    }
    else
    {
        std::wcout << "There's no low-user-impact time in which to do work." << std::endl;
    }
}

int main() 
{
    std::wcout << L"Power Grid Forecast WinRT API sample app." << std::endl;

    // Register for the forecast notification.
    auto revoker = PowerGridForecast::ForecastUpdated(winrt::auto_revoke, [&](auto, winrt::Windows::Foundation::IInspectable const&) {
        std::wcout << L"Forecast updated..." << std::endl;

        // Forecast has been updated; find the next best times.
        PowerGridForecast forecast = PowerGridForecast::GetForecast();
        PrintBestTimes(forecast);
    });

    // Print out the full forecast.
    PowerGridForecast forecast = PowerGridForecast::GetForecast();
    PrintFullForecast(forecast);

    // Wait until the user presses a key to exit.
    std::cout << "Listening to the signal: a new forecast has been created."
                    "Leave this program open to see when a new forecast is created, otherwise press any key to exit this program..." << std::endl;
    std::cin.get();

    return 0;
}

備註

Windows 會根據裝置所連接的電源網格線,公開電力網格碳的預測。 例如,Windows Update 已使用此數據,以在更新發生時進行時間轉移,以降低碳量。 此 API 會向您公開這些相同的預測,以便減少部分工作負載的碳量。 例如,當您的應用程式/遊戲更新發生時,您可以逾時;或節流音訊播放的比特率,或其他轉譯精確度層級;或者,如果您有 效率模式,請加以啟用。

電源網格線預測 API 會提供兩個訊號給您 (,以提示時間轉移) 。 一個訊號包含標準化 嚴重性 值, (介於0.0到1.0之間的網格線條件) ,以優化 (碳濃度) 。 另一個訊號 IsLowUserExperienceImpact 是布爾值,代表 Windows 認為使用者離開裝置的時機。 您可以選擇只使用一個訊號,而不是兩者;訊號有個別的值以及一起。

時間轉移 表示使用相同的能源來完成工作,但根據訊號在不同的時間執行。

嚴重性 是介於 0.0 和 1.0 之間的標準化值,其中 0 視為最佳,而 1 是最差的值。 這會根據裝置所在的位置,對應至電源網格線碳嚴重性。

低用戶體驗影響。 布爾值,表示 Windows 認為用戶離開或不使用許多資源時。 這可視為反向使用時數。 當值為 true時,它會被視為將工作負載時間移轉至的好時機。 當它是 false時,就用戶體驗而言,它被視為將工作負載逾時到錯誤的時機。

屬性

BlockDuration

預測向量中每個項目的持續時間。

Forecast

取得包含預測數據的向量。 預測是連續的,從 StartTime 開始。 每個項目的開始時間都可以使用 StartTime + (index * BlockDuration)來計算。

StartTime

取得 Forecast中第一個專案的開始時間。

方法

GetForecast()

擷取預測的靜態方法。 失敗時,這會傳回空的預測。

事件

ForecastUpdated

當新的預測承載就緒時,通知訂閱者的事件。 預期當您的應用程式收到此通知時,您將會呼叫 GetForecast

適用於