401 lines
17 KiB
Python
401 lines
17 KiB
Python
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#!/usr/bin/env python
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# -*- coding: utf-8 -*-
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"""
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水平卧式流化床 空床流场 —— 分析图 (几何/矢量/压差/流量/均匀性/衰减/倾斜/分段放大)
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读取 fbed_fields.npz。
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python tools/fbed_analysis.py
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"""
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import os
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import sys
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import numpy as np
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import matplotlib
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matplotlib.use("Agg")
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import matplotlib.pyplot as plt
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from matplotlib.patches import Rectangle
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sys.path.insert(0, os.path.dirname(os.path.abspath(__file__)))
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import fbed_simulation as fs
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OUT = fs.OUT
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BG, FG, MUTED, ACCENT = fs.BG, fs.FG, fs.MUTED, fs.ACCENT
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CMAP_FLOW = fs.CMAP_FLOW
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XC, YC, ZC = fs.XC, fs.YC, fs.ZC
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X0, X1, Y0, Y1, Z0, Z1 = fs.X0, fs.X1, fs.Y0, fs.Y1, fs.Z0, fs.Z1
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DX, SCALE_U, BED_L, BED_W, N_SEC, SEC_L = fs.DX, fs.SCALE_U, fs.BED_L, fs.BED_W, fs.N_SEC, fs.SEC_L
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PPM = fs.PPM
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NZ, NY, NX = fs.NZ, fs.NY, fs.NX
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D = np.load(os.path.join(OUT, "fbed_fields.npz"))
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UX, UY, UZ, RHO, SOLID = D["ux"], D["uy"], D["uz"], D["rho"], D["solid"]
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PLATE = D["plate"]
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FLUID = ~SOLID
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UX, UY, UZ = UX * SCALE_U, UY * SCALE_U, UZ * SCALE_U
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SPEED = np.sqrt(UX ** 2 + UY ** 2 + UZ ** 2)
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P = (RHO - 1.0) / 3.0 * (1.2 * SCALE_U ** 2)
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CELL_A = DX * DX
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IZP = fs._zi(0.0)
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def zi(v):
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return fs._zi(v)
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def yi(v):
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return fs._yi(v)
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def xi(v):
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return fs._xi(v)
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def quiver_slice(ax, which, idx, step=3, scale=None, title="", vmax=None):
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if which == "xz":
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ext = [X0, X1, Z0, Z1]; xl, yl = "x (m)", "z (m)"
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U, V, M = UX[:, idx, :], UZ[:, idx, :], SPEED[:, idx, :]
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m = SOLID[:, idx, :]
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xs, ys = XC, ZC
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elif which == "yz":
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ext = [Y0, Y1, Z0, Z1]; xl, yl = "y (m)", "z (m)"
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U, V, M = UY[:, :, idx], UZ[:, :, idx], SPEED[:, :, idx]
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m = SOLID[:, :, idx]
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xs, ys = YC, ZC
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else:
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ext = [X0, X1, Y0, Y1]; xl, yl = "x (m)", "y (m)"
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U, V, M = UX[idx, :, :], UY[idx, :, :], SPEED[idx, :, :]
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m = SOLID[idx, :, :]
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xs, ys = XC, YC
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U = np.where(m, np.nan, U); V = np.where(m, np.nan, V); M = np.where(m, np.nan, M)
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ax.imshow(np.where(m, np.nan, M), origin="lower", extent=ext, cmap=CMAP_FLOW,
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vmin=0, vmax=vmax or np.nanpercentile(M, 99), interpolation="bilinear",
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aspect="equal", alpha=0.85)
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Xs, Ys = np.meshgrid(xs[::step], ys[::step])
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Us = U[::step, ::step]; Vs = V[::step, ::step]; Ms = M[::step, ::step]
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if scale is None:
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scale = 6.0 * max(ext[1] - ext[0], ext[3] - ext[2]) / max(np.nanmax(np.hypot(Us, Vs)), 1e-6)
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ax.quiver(Xs, Ys, Us, Vs, Ms, cmap="cool", scale=scale, width=0.0022,
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clim=(0, np.nanpercentile(M, 99)))
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ax.contour(np.linspace(ext[0], ext[1], m.shape[1]),
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np.linspace(ext[2], ext[3], m.shape[0]),
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m.astype(float), levels=[0.5], colors="#adbac7", linewidths=0.8)
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ax.set_xlim(ext[0], ext[1]); ax.set_ylim(ext[2], ext[3])
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ax.set_xlabel(xl, fontsize=9); ax.set_ylabel(yl, fontsize=9)
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ax.tick_params(labelsize=8)
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if title:
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ax.set_title(title, fontsize=12)
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# --------------------------------------------------------------------------
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def fig_geometry():
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fig, axes = plt.subplots(1, 2, figsize=(17.0, 7.6))
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for ax, which, idx in [(axes[0], "xz", yi(0.0)), (axes[1], "yz", xi(1.2))]:
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if which == "xz":
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ext = [X0, X1, Z0, Z1]; sol = SOLID[:, idx, :]
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xl, yl = "x (m)", "z (m)"
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else:
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ext = [Y0, Y1, Z0, Z1]; sol = SOLID[:, :, idx]
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xl, yl = "y (m)", "z (m)"
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ax.imshow(np.where(sol, 0.55, 0.08), origin="lower", extent=ext, cmap="gray",
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vmin=0, vmax=1, interpolation="nearest", aspect="equal")
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ax.contour(np.linspace(ext[0], ext[1], sol.shape[1]),
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np.linspace(ext[2], ext[3], sol.shape[0]),
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sol.astype(float), levels=[0.5], colors="#adbac7", linewidths=1.0)
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ax.set_xlabel(xl, fontsize=10); ax.set_ylabel(yl, fontsize=10)
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# 标注 (在 x-z 图)
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ax = axes[0]
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ax.annotate("4 x DN300 侧进风\n(平行床板, 2500 m³/h/段)", xy=(0.05, -0.225), xytext=(-0.35, 0.9),
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fontsize=10, color="#7ee787",
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arrowprops=dict(arrowstyle="->", color="#7ee787", lw=1.6))
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ax.annotate("布风板 2mm孔 5.6% 5°倾斜", xy=(1.2, 0.0), xytext=(1.55, -0.35),
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fontsize=10, color="#58a6ff",
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arrowprops=dict(arrowstyle="->", color="#58a6ff", lw=1.4))
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ax.annotate("顶部仅 DN800 排风\n(无进风)", xy=(1.2, 2.1), xytext=(1.45, 1.55),
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fontsize=10.5, color="#ff7b72",
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arrowprops=dict(arrowstyle="->", color="#ff7b72", lw=1.6))
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ax.set_title("几何 / 边界示意 (x-z, y=0)", fontsize=12)
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axes[1].set_title("几何 / 边界示意 (y-z, x=1.2)", fontsize=12)
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fig.suptitle("空床几何与边界条件：底部 4 段侧进风，顶部仅排风", fontsize=15, y=0.98)
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fig.tight_layout(rect=[0, 0, 1, 0.95])
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fig.savefig(os.path.join(OUT, "fbed-geometry.png"), dpi=540)
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plt.close(fig)
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print(" -> fbed-geometry.png")
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def fig_vectors():
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fig, axes = plt.subplots(2, 2, figsize=(16.0, 12.5))
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quiver_slice(axes[0, 0], "xz", yi(0.0), step=3, title="(a) 垂直切面 y=0 速度矢量")
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quiver_slice(axes[0, 1], "yz", xi(1.2), step=3, title="(b) 垂直切面 x=1.2 速度矢量")
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quiver_slice(axes[1, 0], "xy", zi(0.15), step=3, title="(c) 布风板近区 z=0.15 速度矢量")
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quiver_slice(axes[1, 1], "xy", zi(0.90), step=3, title="(d) 沸腾段 z=0.90 速度矢量")
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fig.suptitle("空床流场速度矢量图（箭头方向=流向, 颜色=速度大小 m/s）", fontsize=15, y=0.99)
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fig.tight_layout(rect=[0, 0, 1, 0.97])
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fig.savefig(os.path.join(OUT, "fbed-vectors.png"), dpi=520)
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plt.close(fig)
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print(" -> fbed-vectors.png")
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def fig_tilt():
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fig = plt.figure(figsize=(16.0, 10.5))
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gs = fig.add_gridspec(2, 2)
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ax = fig.add_subplot(gs[0, 0])
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iz = zi(0.05)
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quiver_slice(ax, "xy", iz, step=4, vmax=2.5,
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title="(a) 布风板正上方 z=0.05 矢量（放大看 +x 倾斜）")
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ax.set_xlim(0.6, 1.8); ax.set_ylim(-0.30, 0.30)
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ax = fig.add_subplot(gs[0, 1])
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zs, ang, um = [], [], []
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for z in np.arange(0.03, 0.60, 0.02):
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iz = zi(z)
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m = FLUID[iz] & (np.abs(YC)[:, None] < BED_W / 2)
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if m.sum() < 10:
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continue
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ux_m, uz_m = UX[iz][m].mean(), UZ[iz][m].mean()
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zs.append(z); ang.append(np.degrees(np.arctan2(ux_m, uz_m))); um.append(ux_m)
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ax.plot(zs, ang, "-o", color=ACCENT, ms=4, label="实际偏角")
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ax.axhline(5.0, color="#ff7b72", ls="--", lw=1.2, label="理论 +5°")
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ax.axhline(0.0, color=MUTED, lw=0.8)
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ax.set_xlabel("高度 z (m)", fontsize=10); ax.set_ylabel("流向偏角 (°)", fontsize=10)
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ax.set_title("(b) 近板流向偏角随高度衰减", fontsize=12)
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ax.legend(fontsize=9); ax.grid(alpha=0.2)
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ax = fig.add_subplot(gs[1, 0])
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zs2, uxs, uzs = [], [], []
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for z in np.arange(0.03, 0.60, 0.02):
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iz = zi(z)
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m = FLUID[iz] & (np.abs(YC)[:, None] < BED_W / 2)
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if m.sum() < 10:
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continue
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zs2.append(z); uxs.append(UX[iz][m].mean()); uzs.append(UZ[iz][m].mean())
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ax.plot(zs2, uzs, "-o", ms=4, color="#39d0d8", label="垂直分量 <uz>")
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ax.plot(zs2, uxs, "-s", ms=4, color="#ff7b72", label="水平分量 <ux>（5° 驱动）")
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ax.set_xlabel("高度 z (m)", fontsize=10); ax.set_ylabel("面平均速度 (m/s)", fontsize=10)
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ax.set_title("(c) 近板面平均速度分量", fontsize=12)
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ax.legend(fontsize=9); ax.grid(alpha=0.2)
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ax = fig.add_subplot(gs[1, 1])
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xline = np.linspace(0.02, BED_L - 0.02, 60)
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iz = zi(0.06)
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prof = []
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for xv in xline:
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i = xi(xv)
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m = FLUID[iz, :, i]
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prof.append(UX[iz, :, i][m].mean() if m.sum() else np.nan)
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ax.plot(xline, prof, color="#ff7b72", lw=1.6)
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ax.axhline(0, color=MUTED, lw=0.8)
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ax.set_xlabel("x (m)", fontsize=10); ax.set_ylabel("<ux> (m/s)", fontsize=10)
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ax.set_title("(d) 近板水平速度沿长度分布（整体 +x 偏置）", fontsize=12)
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ax.grid(alpha=0.2)
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fig.suptitle("布风板 5° 倾斜对近板风向的影响", fontsize=15, y=0.99)
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fig.tight_layout(rect=[0, 0, 1, 0.97])
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fig.savefig(os.path.join(OUT, "fbed-tilt.png"), dpi=520)
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plt.close(fig)
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print(" -> fbed-tilt.png")
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def fig_uniformity():
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fig, axes = plt.subplots(1, 3, figsize=(17.0, 5.4))
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qs = []
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for k in range(N_SEC):
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ix0, ix1 = xi(0.6 * k), xi(0.6 * (k + 1))
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q = UZ[IZP, :, ix0:ix1][FLUID[IZP, :, ix0:ix1]].sum() * CELL_A * 3600.0
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qs.append(q)
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ax = axes[0]
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bars = ax.bar([f"第{k+1}段" for k in range(N_SEC)], qs, color=ACCENT, alpha=0.85)
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ax.axhline(2500, color="#ff7b72", ls="--", lw=1.4, label="目标 2500 m³/h")
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for b, q in zip(bars, qs):
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ax.text(b.get_x() + b.get_width() / 2, q + 40, f"{q:.0f}", ha="center", fontsize=9)
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ax.set_ylabel("布风板风量 (m³/h)", fontsize=10); ax.legend(fontsize=9)
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ax.set_title("(a) 各区段风量", fontsize=12); ax.grid(alpha=0.2, axis="y")
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ax = axes[1]
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prof = []
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xline = np.linspace(0.02, BED_L - 0.02, 120)
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for xv in xline:
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i = xi(xv)
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m = FLUID[IZP + 3, :, i]
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prof.append(UZ[IZP + 3, :, i][m].mean() if m.sum() else np.nan)
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ax.plot(xline, prof, color="#39d0d8", lw=1.8)
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ax.axhline(2500.0 / (BED_L * BED_W) / 3600.0 * 3600.0, color=MUTED, ls=":", lw=1)
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for k in range(1, N_SEC):
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ax.axvline(0.6 * k, color="#30363d", lw=0.8)
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ax.set_xlabel("x (m)", fontsize=10); ax.set_ylabel("近板 <uz> (m/s)", fontsize=10)
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ax.set_title("(b) 近板上升速度沿长度分布（均匀性）", fontsize=12); ax.grid(alpha=0.2)
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ax = axes[2]
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yline = np.linspace(-BED_W / 2 + 0.02, BED_W / 2 - 0.02, 60)
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profy = []
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for yv in yline:
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j = yi(yv)
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m = FLUID[IZP + 3, j, :]
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profy.append(UZ[IZP + 3, j, :][m].mean() if m.sum() else np.nan)
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ax.plot(yline, profy, color="#7ee787", lw=1.8)
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ax.set_xlabel("y (m)", fontsize=10); ax.set_ylabel("近板 <uz> (m/s)", fontsize=10)
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ax.set_title("(c) 近板上升速度沿宽度分布（均匀性）", fontsize=12); ax.grid(alpha=0.2)
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fig.suptitle("布风板流量均匀性", fontsize=15, y=1.0)
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fig.tight_layout(rect=[0, 0, 1, 0.95])
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fig.savefig(os.path.join(OUT, "fbed-uniformity.png"), dpi=520)
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plt.close(fig)
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print(" -> fbed-uniformity.png")
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def fig_decay():
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fig, axes = plt.subplots(1, 2, figsize=(15.0, 7.0))
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zs, qz, uz_avg, spd_avg, area = [], [], [], [], []
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for iz in range(NZ):
|
|||
|
|
m = FLUID[iz]
|
|||
|
|
if m.sum() < 20:
|
|||
|
|
continue
|
|||
|
|
zs.append(ZC[iz])
|
|||
|
|
qz.append(UZ[iz][m].sum() * CELL_A * 3600.0)
|
|||
|
|
uz_avg.append(UZ[iz][m].mean())
|
|||
|
|
spd_avg.append(SPEED[iz][m].mean())
|
|||
|
|
area.append(m.sum() * CELL_A)
|
|||
|
|
ax = axes[0]
|
|||
|
|
ax.plot(uz_avg, zs, "-o", ms=3, color="#39d0d8", label="面平均 <uz>")
|
|||
|
|
ax.plot(spd_avg, zs, "-s", ms=3, color="#ff7b72", label="面平均 |U|")
|
|||
|
|
ax.axvline(0, color=MUTED, lw=0.8)
|
|||
|
|
ax.axhline(0.0, color="#30363d", lw=0.8)
|
|||
|
|
ax.set_xlabel("速度 (m/s)", fontsize=10); ax.set_ylabel("高度 z (m)", fontsize=10)
|
|||
|
|
ax.set_title("(a) 沿高度气速衰减", fontsize=12); ax.legend(fontsize=9); ax.grid(alpha=0.2)
|
|||
|
|
|
|||
|
|
ax = axes[1]
|
|||
|
|
ax.plot(qz, zs, "-o", ms=3, color=ACCENT, label="通过水平面的净风量")
|
|||
|
|
ax.axvline(10000, color="#ff7b72", ls="--", lw=1.4, label="总风量 10000 m³/h")
|
|||
|
|
ax.set_xlabel("风量 (m³/h)", fontsize=10); ax.set_ylabel("高度 z (m)", fontsize=10)
|
|||
|
|
ax.set_title("(b) 沿高度风量守恒（连续性）", fontsize=12)
|
|||
|
|
ax.legend(fontsize=9); ax.grid(alpha=0.2)
|
|||
|
|
fig.suptitle("沿高度气速衰减与风量守恒", fontsize=15, y=0.99)
|
|||
|
|
fig.tight_layout(rect=[0, 0, 1, 0.96])
|
|||
|
|
fig.savefig(os.path.join(OUT, "fbed-decay.png"), dpi=520)
|
|||
|
|
plt.close(fig)
|
|||
|
|
print(" -> fbed-decay.png")
|
|||
|
|
|
|||
|
|
|
|||
|
|
def fig_zoom_sections():
|
|||
|
|
fig, axes = plt.subplots(4, 1, figsize=(11.0, 16.0))
|
|||
|
|
for k, ax in enumerate(axes):
|
|||
|
|
quiver_slice(ax, "xz", yi(0.0), step=2, title=f"第 {k+1} 段 x∈[{0.6*k:.1f}, {0.6*(k+1):.1f}] m")
|
|||
|
|
ax.set_xlim(0.6 * k - 0.02, 0.6 * (k + 1) + 0.02)
|
|||
|
|
fig.suptitle("按区段剖分的 x-z 局部放大（含风箱进风/布风板/沸腾段）", fontsize=15, y=0.995)
|
|||
|
|
fig.tight_layout(rect=[0, 0, 1, 0.975])
|
|||
|
|
fig.savefig(os.path.join(OUT, "fbed-zoom-sections.png"), dpi=500)
|
|||
|
|
plt.close(fig)
|
|||
|
|
print(" -> fbed-zoom-sections.png")
|
|||
|
|
|
|||
|
|
|
|||
|
|
def fig_pressure_drop():
|
|||
|
|
fig = plt.figure(figsize=(16.0, 10.5))
|
|||
|
|
gs = fig.add_gridspec(2, 2)
|
|||
|
|
ax = fig.add_subplot(gs[0, 0])
|
|||
|
|
ext = [X0, X1, Z0, Z1]
|
|||
|
|
Pxz = np.where(SOLID[:, yi(0), :], np.nan, P[:, yi(0), :])
|
|||
|
|
lim = np.nanpercentile(np.abs(Pxz), 99)
|
|||
|
|
im = ax.imshow(Pxz, origin="lower", extent=ext, cmap="RdBu_r", vmin=-lim, vmax=lim,
|
|||
|
|
aspect="equal", interpolation="bilinear")
|
|||
|
|
ax.axhline(0, color="#7ee787", lw=1.0, ls="--")
|
|||
|
|
ax.set_title("(a) 静压场 x-z (y=0)，绿线=布风板", fontsize=12)
|
|||
|
|
ax.set_xlabel("x (m)"); ax.set_ylabel("z (m)")
|
|||
|
|
cb = fig.colorbar(im, ax=ax, fraction=0.036, pad=0.02); cb.set_label("Pa", fontsize=9)
|
|||
|
|
|
|||
|
|
ax = fig.add_subplot(gs[0, 1])
|
|||
|
|
ext = [X0, X1, Y0, Y1]
|
|||
|
|
Pxy = np.where(SOLID[zi(0.10)], np.nan, P[zi(0.10)])
|
|||
|
|
im = ax.imshow(Pxy, origin="lower", extent=ext, cmap="RdBu_r",
|
|||
|
|
vmin=-np.nanpercentile(np.abs(Pxy), 99), vmax=np.nanpercentile(np.abs(Pxy), 99),
|
|||
|
|
aspect="equal", interpolation="bilinear")
|
|||
|
|
ax.set_title("(b) 布风板正上方 z=0.10 静压", fontsize=12)
|
|||
|
|
ax.set_xlabel("x (m)"); ax.set_ylabel("y (m)")
|
|||
|
|
cb = fig.colorbar(im, ax=ax, fraction=0.036, pad=0.02); cb.set_label("Pa", fontsize=9)
|
|||
|
|
|
|||
|
|
ax = fig.add_subplot(gs[1, 0])
|
|||
|
|
dps = []
|
|||
|
|
for k in range(N_SEC):
|
|||
|
|
ix0, ix1 = xi(0.6 * k), xi(0.6 * (k + 1))
|
|||
|
|
mp = FLUID[zi(-0.30):zi(-0.05), :, ix0:ix1]
|
|||
|
|
pp = P[zi(-0.30):zi(-0.05), :, ix0:ix1][mp].mean()
|
|||
|
|
mf = FLUID[zi(0.05):zi(0.20), :, ix0:ix1]
|
|||
|
|
pf = P[zi(0.05):zi(0.20), :, ix0:ix1][mf].mean()
|
|||
|
|
dps.append(pp - pf)
|
|||
|
|
bars = ax.bar([f"第{k+1}段" for k in range(N_SEC)], dps, color="#ff7b72", alpha=0.85)
|
|||
|
|
ax.axhline(2900, color="#7ee787", ls="--", lw=1.4, label="设计压差 2900 Pa")
|
|||
|
|
for b, v in zip(bars, dps):
|
|||
|
|
ax.text(b.get_x() + b.get_width() / 2, v + 5, f"{v:.0f}", ha="center", fontsize=9)
|
|||
|
|
ax.set_ylabel("布风板压差 (Pa)", fontsize=10); ax.legend(fontsize=9)
|
|||
|
|
ax.set_title("(c) 各段布风板压差（模型值）", fontsize=12); ax.grid(alpha=0.2, axis="y")
|
|||
|
|
|
|||
|
|
ax = fig.add_subplot(gs[1, 1])
|
|||
|
|
ext = [X0, X1, Z0, Z1]
|
|||
|
|
Pxz2 = np.where(SOLID[:, yi(0), :], np.nan, P[:, yi(0), :])
|
|||
|
|
ax.plot(XC, np.nanmean(P[:, yi(0), :], axis=0), color="#39d0d8", lw=1.4, label="沿 x 平均 (y=0)")
|
|||
|
|
for zc, col in [(zi(-0.30), "#58a6ff"), (zi(-0.05), "#7ee787"), (zi(0.10), "#ff7b72")]:
|
|||
|
|
ax.plot(XC, np.where(SOLID[zc, yi(0), :], np.nan, P[zc, yi(0), :]), lw=1.0,
|
|||
|
|
color=col, label=f"z={ZC[zc]:.2f} m")
|
|||
|
|
ax.set_xlabel("x (m)", fontsize=10); ax.set_ylabel("静压 (Pa)", fontsize=10)
|
|||
|
|
ax.set_title("(d) 静压沿长度剖面", fontsize=12); ax.legend(fontsize=8); ax.grid(alpha=0.2)
|
|||
|
|
fig.suptitle("压差分析：布风板上下压差与静压分布", fontsize=15, y=0.99)
|
|||
|
|
fig.tight_layout(rect=[0, 0, 1, 0.97])
|
|||
|
|
fig.savefig(os.path.join(OUT, "fbed-pressure-drop.png"), dpi=520)
|
|||
|
|
plt.close(fig)
|
|||
|
|
print(" -> fbed-pressure-drop.png")
|
|||
|
|
|
|||
|
|
|
|||
|
|
def fig_flowrate():
|
|||
|
|
fig, axes = plt.subplots(1, 3, figsize=(17.0, 5.4))
|
|||
|
|
qs = []
|
|||
|
|
for k in range(N_SEC):
|
|||
|
|
ix0, ix1 = xi(0.6 * k), xi(0.6 * (k + 1))
|
|||
|
|
q = UZ[IZP, :, ix0:ix1][FLUID[IZP, :, ix0:ix1]].sum() * CELL_A * 3600.0
|
|||
|
|
qs.append(q)
|
|||
|
|
ax = axes[0]
|
|||
|
|
ax.bar([f"第{k+1}段" for k in range(N_SEC)], qs, color="#39d0d8", alpha=0.85)
|
|||
|
|
ax.axhline(2500, color="#ff7b72", ls="--", lw=1.4, label="目标 2500")
|
|||
|
|
ax.set_ylabel("风量 (m³/h)", fontsize=10); ax.legend(fontsize=9)
|
|||
|
|
ax.set_title("(a) 各区段布风板风量", fontsize=12); ax.grid(alpha=0.2, axis="y")
|
|||
|
|
|
|||
|
|
ax = axes[1]
|
|||
|
|
cum = np.cumsum([UZ[IZP, :, i][FLUID[IZP, :, i]].sum() for i in range(NX)]) * CELL_A * 3600.0
|
|||
|
|
ax.plot(XC, cum, color=ACCENT, lw=1.8)
|
|||
|
|
ax.axhline(10000, color="#ff7b72", ls="--", lw=1.2, label="总计 10000")
|
|||
|
|
ax.set_xlabel("x (m)", fontsize=10); ax.set_ylabel("累计风量 (m³/h)", fontsize=10)
|
|||
|
|
ax.set_title("(b) 沿长度累计风量", fontsize=12); ax.legend(fontsize=9); ax.grid(alpha=0.2)
|
|||
|
|
|
|||
|
|
ax = axes[2]
|
|||
|
|
iz_in = yi(fs.PIPE_Y0)
|
|||
|
|
qin = UY[:, iz_in, :][FLUID[:, iz_in, :]].sum() * CELL_A * 3600.0
|
|||
|
|
iz_out = NZ - 2
|
|||
|
|
qout = UZ[iz_out][FLUID[iz_out]].sum() * CELL_A * 3600.0
|
|||
|
|
qplate = sum(qs)
|
|||
|
|
labels = ["进风\n(DN300×4)", "布风板\n(通过)", "排风\n(DN800)"]
|
|||
|
|
vals = [qin, qplate, qout]
|
|||
|
|
cols = ["#7ee787", "#39d0d8", "#ff7b72"]
|
|||
|
|
b = ax.bar(labels, vals, color=cols, alpha=0.85)
|
|||
|
|
for bb, v in zip(b, vals):
|
|||
|
|
ax.text(bb.get_x() + bb.get_width() / 2, v + 60, f"{v:.0f}", ha="center", fontsize=9.5)
|
|||
|
|
ax.axhline(10000, color=MUTED, ls=":", lw=1)
|
|||
|
|
ax.set_ylabel("风量 (m³/h)", fontsize=10)
|
|||
|
|
ax.set_title("(c) 进风 / 布风板 / 排风 风量平衡", fontsize=12); ax.grid(alpha=0.2, axis="y")
|
|||
|
|
fig.suptitle("流量分析", fontsize=15, y=1.0)
|
|||
|
|
fig.tight_layout(rect=[0, 0, 1, 0.95])
|
|||
|
|
fig.savefig(os.path.join(OUT, "fbed-flowrate.png"), dpi=520)
|
|||
|
|
plt.close(fig)
|
|||
|
|
print(" -> fbed-flowrate.png")
|
|||
|
|
|
|||
|
|
|
|||
|
|
def main():
|
|||
|
|
fig_geometry()
|
|||
|
|
fig_vectors()
|
|||
|
|
fig_tilt()
|
|||
|
|
fig_uniformity()
|
|||
|
|
fig_decay()
|
|||
|
|
fig_zoom_sections()
|
|||
|
|
fig_pressure_drop()
|
|||
|
|
fig_flowrate()
|
|||
|
|
print("[analysis] done")
|
|||
|
|
|
|||
|
|
|
|||
|
|
if __name__ == "__main__":
|
|||
|
|
main()
|