feat(phase4): 接入真实预测计算模型(中国建材院)
替换占位公式,按模型精确实现 prediction.ts: Ln=A/V → 筛Yp≥0.01 → Ln修正=Σ(Li·Ypi)/Ypn → Yn修正=Y0+Yp·e^(−Ln修正/B) → C密闭=Σ(Yi修正·Li) → E=0.51+8.74·C密闭/Σ(Li·Ypi) → U=1/(1+E·ACH) → C通风=U·C密闭 → WS=e^(0.102(T−23))·e^(1.2312(H−0.5)) → C=WS·C通风 贡献率 Gn=(Yn修正·Ln)/C密闭;污染源=超标污染物按Gn降序累计>50%。 结果新增 cClosed/limits/sources 字段。已用官方算例校验最终浓度全部±0.01通过。 Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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@ -14,110 +14,167 @@ export interface EmissionParams {
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/** 一种材料在某空间的用量 + 各污染物散发参数 */
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export interface SpaceMaterialInput {
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materialId: string;
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/** 使用量（配合用量单位，通常为面积 m² 或其它） */
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/** 使用面积 A (m²)。长度单位时调用方需先 ×0.1 折算 */
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usageAmount: number;
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/** 每项污染物的散发参数 */
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params: Record<Pollutant, EmissionParams>;
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}
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/** 空间环境条件 */
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export interface SpaceConditions {
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/** 体积 m³ */
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/** 体积 V (m³) */
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volume: number;
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/** 温度 ℃ */
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/** 温度 T (°C) */
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temperature: number;
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/** 湿度 %rh */
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/** 湿度 H (%rh，如 50；内部折算为小数) */
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humidity: number;
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/** 通风换气率 次/小时 (ACH) */
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/** 通风换气次数 ACH (次/小时) */
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ventilationRate: number;
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standard: StandardCode;
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}
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export interface MaterialContribution {
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materialId: string;
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/** 每项污染物对最终浓度的贡献 (mg/m³) */
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/** 各污染物：该材料占最终浓度的份额 (mg/m³) = Gn × C */
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contribution: Record<Pollutant, number>;
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/** 每项污染物的贡献率 0~1 */
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/** 各污染物贡献率 Gn (0~1) = (Yn修正·Ln)/C密闭 */
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contributionRate: Record<Pollutant, number>;
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}
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export interface SpacePredictionResult {
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/** 各污染物预测浓度 mg/m³ */
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/** 各污染物最终预测浓度 C (mg/m³) */
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concentration: Record<Pollutant, number>;
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/** 各污染物密闭浓度 C密闭 (mg/m³)，贡献率分母 */
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cClosed: Record<Pollutant, number>;
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/** 所用标准的各污染物限值 */
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limits: Record<Pollutant, number>;
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/** 各污染物是否超标 */
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exceeded: Record<Pollutant, boolean>;
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/** 各材料贡献 */
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contributions: MaterialContribution[];
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/** 各污染物的污染源材料ID（仅超标污染物；累计贡献率>50%的前几个材料） */
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sources: Record<Pollutant, string[]>;
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rating: PredictionRating;
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}
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/** 平衡释放量范围阈值：Yp < 0.01 视为该污染物不释放 */
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const YP_THRESHOLD = 0.01;
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const zero = (): Record<Pollutant, number> =>
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Object.fromEntries(POLLUTANTS.map((p) => [p, 0])) as Record<Pollutant, number>;
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/**
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* ⚠️ 核心散发速率公式 —— 把你已标定的公式放这里。
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* 当前为占位实现：稳态面积散发速率随温度/湿度做简单修正。
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*
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* 返回某材料某污染物的稳态面积散发速率 (mg/m²·h)。
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*
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* @param p 散发参数 Y0/Yp/B
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* @param cond 空间环境（温湿度等）
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*/
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export function emissionRate(p: EmissionParams, cond: SpaceConditions): number {
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// —— PLACEHOLDER：替换为你的标定公式 ——
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// 占位：以 Y0 为基线，Yp 受温度偏离 25℃ 影响，B 作为湿度/装载修正系数。
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const tempFactor = 1 + 0.02 * (cond.temperature - 25); // 每偏离1℃修正2%
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const humFactor = 1 + 0.005 * (cond.humidity - 50); // 每偏离50%rh修正0.5%
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const rate = (p.y0 + p.yp * Math.max(0, tempFactor - 1) + p.b * humFactor * 0.0) * tempFactor * humFactor;
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return Math.max(0, rate);
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}
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/**
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* 预测单个空间的污染物浓度（质量平衡稳态模型）。
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*
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* 稳态：生成速率 G = 去除速率 = ACH × V × C => C = G / (ACH × V)
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* G_pollutant = Σ_material ( emissionRate × usageAmount )
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* 单空间多污染物预测（中国建材院模型 20240307）。
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* 每种污染物独立计算：
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* Ln=A/V → 筛Yp≥0.01 → Ln修正=Σ(Li·Ypi)/Ypn → Yn修正=Y0+Yp·e^(−Ln修正/B)
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* → C密闭=Σ(Yi修正·Li) → E=0.51+8.74·C密闭/Σ(Li·Ypi) → U=1/(1+E·ACH)
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* → C通风=U·C密闭 → WS=e^(0.102(T−23))·e^(1.2312(H−0.5)) → C=WS·C通风
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* 贡献率 Gn=(Yn修正·Ln)/C密闭；污染源=超标污染物中按Gn降序累计>50%的材料。
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*/
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export function predictSpace(
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materials: SpaceMaterialInput[],
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cond: SpaceConditions,
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): SpacePredictionResult {
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const V = Math.max(1e-6, cond.volume);
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const ACH = Math.max(0, cond.ventilationRate);
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const T = cond.temperature;
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const H = cond.humidity > 1 ? cond.humidity / 100 : cond.humidity; // %rh → 小数
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const WS = Math.exp(0.102 * (T - 23)) * Math.exp(1.2312 * (H - 0.5));
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const limits = STANDARD_LIMITS[cond.standard];
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const concentration = zero();
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const denom = Math.max(1e-6, cond.ventilationRate * cond.volume);
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// 累计各材料各污染物的生成量
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const rawContrib: Record<string, Record<Pollutant, number>> = {};
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// 真实承载率 Ln = A/V
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const Ln = new Map<string, number>();
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for (const m of materials) Ln.set(m.materialId, m.usageAmount / V);
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const concentration = zero();
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const cClosed = zero();
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const exceeded = {} as Record<Pollutant, boolean>;
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const sources = {} as Record<Pollutant, string[]>;
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const contribByMat: Record<string, Record<Pollutant, number>> = {};
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const rateByMat: Record<string, Record<Pollutant, number>> = {};
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for (const m of materials) {
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rawContrib[m.materialId] = zero();
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for (const pol of POLLUTANTS) {
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const G = emissionRate(m.params[pol], cond) * m.usageAmount;
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const c = G / denom;
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rawContrib[m.materialId][pol] = c;
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concentration[pol] += c;
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contribByMat[m.materialId] = zero();
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rateByMat[m.materialId] = zero();
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}
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for (const p of POLLUTANTS) {
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// 1. 筛选释放该污染物的材料（Yp≥0.01）
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const emitters = materials.filter((m) => (m.params[p]?.yp ?? 0) >= YP_THRESHOLD);
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// Σ(Li·Ypi)
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const sumLYp = emitters.reduce((s, m) => s + Ln.get(m.materialId)! * m.params[p].yp, 0);
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// 2. Yn修正 = Y0 + Yp·e^(−Ln修正/B)，其中 Ln修正 = Σ(Li·Ypi)/Ypn
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const yCorr = new Map<string, number>();
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for (const m of emitters) {
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const { y0, yp, b } = m.params[p];
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const lnCorr = yp > 0 ? sumLYp / yp : 0;
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const term = b > 0 ? yp * Math.exp(-lnCorr / b) : 0;
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yCorr.set(m.materialId, y0 + term);
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}
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// 3. 密闭浓度 C密闭 = Σ(Yn修正·Ln)
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const cClose = emitters.reduce((s, m) => s + yCorr.get(m.materialId)! * Ln.get(m.materialId)!, 0);
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cClosed[p] = round3(cClose);
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// 4. 通风修正
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const E = sumLYp > 0 ? 0.51 + 8.74 * (cClose / sumLYp) : 0;
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const U = 1 / (1 + E * ACH);
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const cVent = U * cClose;
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// 5. 温湿度修正 → 最终浓度
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const C = WS * cVent;
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concentration[p] = round3(C);
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// 6. 贡献率 Gn = (Yn修正·Ln)/C密闭
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for (const m of emitters) {
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const gn = cClose > 0 ? (yCorr.get(m.materialId)! * Ln.get(m.materialId)!) / cClose : 0;
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rateByMat[m.materialId][p] = gn;
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contribByMat[m.materialId][p] = round3(gn * C);
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}
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// 7. 超标判定 + 污染源（累计Gn>50%）
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const over = C > limits[p];
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exceeded[p] = over;
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if (over) {
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const sorted = emitters
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.map((m) => ({ id: m.materialId, gn: rateByMat[m.materialId][p] }))
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.sort((a, b) => b.gn - a.gn);
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const src: string[] = [];
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let cum = 0;
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for (const s of sorted) {
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src.push(s.id);
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cum += s.gn;
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if (cum > 0.5) break;
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}
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sources[p] = src;
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} else {
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sources[p] = [];
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}
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}
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// 贡献率
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const contributions: MaterialContribution[] = materials.map((m) => {
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const contribution = rawContrib[m.materialId];
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const contributionRate = zero();
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for (const pol of POLLUTANTS) {
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contributionRate[pol] = concentration[pol] > 0 ? contribution[pol] / concentration[pol] : 0;
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}
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return { materialId: m.materialId, contribution, contributionRate };
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});
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const contributions: MaterialContribution[] = materials.map((m) => ({
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materialId: m.materialId,
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contribution: contribByMat[m.materialId],
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contributionRate: rateByMat[m.materialId],
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}));
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const exceeded = Object.fromEntries(
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POLLUTANTS.map((p) => [p, concentration[p] > limits[p]]),
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) as Record<Pollutant, boolean>;
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return {
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concentration,
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cClosed,
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limits,
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exceeded,
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contributions,
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sources,
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rating: ratingFor(concentration, cond.standard),
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};
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}
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return { concentration, exceeded, contributions, rating: ratingFor(concentration, cond.standard) };
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function round3(n: number): number {
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return Math.round(n * 1000) / 1000;
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}
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/**
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* 由各污染物浓度相对限值的比值给出评级。
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* A: 全部 ≤ 60% 限值; B: ≤ 100%; C: ≤ 150%; D: 超过。
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* 评级（占位：官方评分/评级规则文档"待补充"）。
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* 现按各污染物相对限值的最差比值给级：A≤60% B≤100% C≤150% D>150%。
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*/
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export function ratingFor(
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concentration: Record<Pollutant, number>,
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