KMP OpenHarmony 鱼塘养殖产鱼量预测器
本文介绍了一个基于KMP框架的鱼塘养殖产鱼量预测器,该工具可科学预测鱼塘产量,帮助养殖户优化管理。主要功能包括:基础产鱼量预测(考虑鱼种、密度、周期)、饲料效率分析(计算饲料系数和利用率)、水质影响评估(分析溶解氧、pH值等指标)、养殖周期预测和效益评估。通过Kotlin代码实现,支持跨平台在OpenHarmony鸿蒙系统上运行,为养殖户提供科学决策依据,提高养殖效益。

文章概述
鱼塘养殖是一项重要的水产养殖活动,产鱼量直接影响养殖户的经济效益。鱼的产量受多个因素影响,包括鱼种选择、投饵管理、水质条件、养殖密度等。鱼塘养殖产鱼量预测器通过综合分析这些因素,科学预测鱼塘的产鱼量,帮助养殖户制定合理的养殖计划,优化资源配置,提高养殖效益和产品质量。
鱼塘养殖产鱼量预测器在实际应用中有广泛的用途。在养殖规划中,需要根据预测的产鱼量制定养殖计划。在饲料管理中,需要根据预期产量分配饲料投入。在水质管理中,需要根据养殖密度调整水质管理策略。在成本控制中,需要根据预期收益制定投入计划。在市场预测中,需要预测产鱼量来制定销售策略。
本文将深入探讨如何在KMP(Kotlin Multiplatform)框架下实现一套完整的鱼塘养殖产鱼量预测器,并展示如何在OpenHarmony鸿蒙平台上进行跨端调用。我们将提供多种产鱼量预测功能,包括基础预测、饲料效率分析、水质影响评估等,帮助养殖户科学管理鱼塘。
工具功能详解
核心功能
功能1:基础产鱼量预测(Basic Fish Yield Prediction)
根据鱼种、养殖密度、养殖周期预测基础产鱼量。这是产鱼量预测的基础。
功能特点:
- 支持多种鱼类品种
- 基于养殖密度计算
- 考虑养殖周期影响
- 返回详细的预测结果
功能2:饲料效率分析(Feed Efficiency Analysis)
分析饲料投入与产鱼量的关系,评估饲料利用效率。
功能特点:
- 计算饲料系数
- 分析投饵效果
- 优化投饵方案
- 提供饲料建议
功能3:水质影响评估(Water Quality Impact Assessment)
评估水质条件对产鱼量的影响。
功能特点:
- 分析多个水质指标
- 计算水质影响系数
- 返回修正后的预测
- 提供水质改善建议
功能4:养殖周期产鱼预测(Cultivation Cycle Prediction)
根据养殖周期的不同阶段预测产鱼量变化。
功能特点:
- 支持多个养殖阶段
- 考虑阶段特性
- 生成产鱼曲线
- 提供采收时间建议
功能5:产鱼效益评估(Fish Yield Benefit Assessment)
评估产鱼量对经济效益的影响。
功能特点:
- 计算预期收益
- 分析成本效益
- 评估投资回报
- 提供优化建议
Kotlin实现
完整的Kotlin代码实现
/**
* 鱼塘养殖产鱼量预测器 - KMP OpenHarmony
* 提供鱼塘产鱼量预测的多种功能
*/
object FishYieldUtils {
// 鱼种基础产量(kg/亩/年)
private val baseYieldBySpecies = mapOf(
"草鱼" to 800.0,
"鲤鱼" to 600.0,
"鲢鱼" to 700.0,
"鳙鱼" to 650.0,
"青鱼" to 750.0,
"罗非鱼" to 900.0
)
// 养殖密度系数
private val densityCoefficients = mapOf(
"低密度" to 0.8,
"中密度" to 1.0,
"高密度" to 1.2,
"超高密度" to 1.3
)
// 养殖周期阶段系数
private val cycleStageCoefficients = mapOf(
"苗种期" to 0.1,
"幼鱼期" to 0.4,
"生长期" to 0.8,
"快速生长期" to 1.0,
"成熟期" to 0.9
)
/**
* 功能1:基础产鱼量预测
*/
fun predictBaseYield(
species: String,
pondArea: Double,
density: String,
yearsOfCultivation: Int = 1
): Double {
val baseYield = baseYieldBySpecies[species] ?: 700.0
val densityCoefficient = densityCoefficients[density] ?: 1.0
return baseYield * pondArea * densityCoefficient * yearsOfCultivation
}
/**
* 功能2:饲料效率分析
*/
fun analyzeFeedEfficiency(
feedInput: Double,
expectedYield: Double,
feedQuality: String
): Map<String, Any> {
val analysis = mutableMapOf<String, Any>()
// 饲料系数(投入饲料/产出鱼)
val feedConversionRatio = if (expectedYield > 0) feedInput / expectedYield else 0.0
// 饲料质量系数
val qualityCoefficient = when (feedQuality) {
"优秀" to 1.0,
"良好" to 0.9,
"一般" to 0.8,
"较差" to 0.6
}.let { it[feedQuality] ?: 0.8 }
// 饲料利用率
val feedUtilization = (1.0 / feedConversionRatio) * qualityCoefficient * 100
// 饲料效率评价
val efficiency = when {
feedConversionRatio < 1.5 -> "优秀"
feedConversionRatio < 2.0 -> "良好"
feedConversionRatio < 2.5 -> "一般"
else -> "较差"
}
analysis["饲料投入"] = String.format("%.1f kg", feedInput)
analysis["预期产量"] = String.format("%.1f kg", expectedYield)
analysis["饲料系数"] = String.format("%.2f", feedConversionRatio)
analysis["饲料质量"] = feedQuality
analysis["饲料利用率"] = String.format("%.1f%%", feedUtilization)
analysis["效率评价"] = efficiency
return analysis
}
/**
* 功能3:水质影响评估
*/
fun assessWaterQualityImpact(
dissolvedOxygen: Double,
phValue: Double,
ammonia: Double,
temperature: Double
): Map<String, Any> {
val assessment = mutableMapOf<String, Any>()
// 溶解氧影响(最适5-8 mg/L)
val oxygenFactor = when {
dissolvedOxygen < 3 -> 0.4
dissolvedOxygen < 5 -> 0.7
dissolvedOxygen <= 8 -> 1.0
dissolvedOxygen < 10 -> 0.9
else -> 0.7
}
// pH值影响(最适6.5-8.5)
val phFactor = when {
phValue < 6.0 -> 0.6
phValue < 6.5 -> 0.8
phValue <= 8.5 -> 1.0
phValue < 9.0 -> 0.8
else -> 0.5
}
// 氨氮影响(最适<0.5 mg/L)
val ammoniaFactor = when {
ammonia < 0.5 -> 1.0
ammonia < 1.0 -> 0.8
ammonia < 2.0 -> 0.6
else -> 0.3
}
// 温度影响(最适25-30°C)
val tempFactor = when {
temperature < 15 -> 0.5
temperature < 20 -> 0.8
temperature <= 30 -> 1.0
temperature < 35 -> 0.8
else -> 0.4
}
val overallFactor = (oxygenFactor + phFactor + ammoniaFactor + tempFactor) / 4.0
assessment["溶解氧系数"] = String.format("%.2f", oxygenFactor)
assessment["pH值系数"] = String.format("%.2f", phFactor)
assessment["氨氮系数"] = String.format("%.2f", ammoniaFactor)
assessment["温度系数"] = String.format("%.2f", tempFactor)
assessment["综合水质系数"] = String.format("%.2f", overallFactor)
assessment["水质评价"] = when {
overallFactor >= 0.9 -> "优秀"
overallFactor >= 0.7 -> "良好"
overallFactor >= 0.5 -> "一般"
else -> "较差"
}
return assessment
}
/**
* 功能4:养殖周期产鱼预测
*/
fun predictCycleYield(
baseYield: Double,
feedEfficiency: Double,
waterQualityFactor: Double
): Map<String, Any> {
val prediction = mutableMapOf<String, Any>()
val stagePredictions = mutableMapOf<String, String>()
var totalYield = 0.0
for ((stage, coefficient) in cycleStageCoefficients) {
val stageYield = baseYield * coefficient * feedEfficiency * waterQualityFactor
stagePredictions[stage] = String.format("%.1f kg", stageYield)
totalYield += stageYield
}
prediction["养殖阶段产量"] = stagePredictions
prediction["总产量"] = String.format("%.1f kg", totalYield)
prediction["平均月产量"] = String.format("%.1f kg", totalYield / 12)
prediction["产量评价"] = when {
totalYield >= baseYield * 0.9 -> "优秀"
totalYield >= baseYield * 0.7 -> "良好"
totalYield >= baseYield * 0.5 -> "一般"
else -> "较差"
}
return prediction
}
/**
* 功能5:产鱼效益评估
*/
fun assessFishBenefit(
predictedYield: Double,
fishPrice: Double,
feedCost: Double,
laborCost: Double,
maintenanceCost: Double
): Map<String, Any> {
val assessment = mutableMapOf<String, Any>()
val revenue = predictedYield * fishPrice
val totalCost = feedCost + laborCost + maintenanceCost
val netProfit = revenue - totalCost
val profitMargin = if (revenue > 0) (netProfit / revenue) * 100 else 0.0
val roi = if (totalCost > 0) (netProfit / totalCost) * 100 else 0.0
assessment["预测产量"] = String.format("%.1f kg", predictedYield)
assessment["鱼价格"] = String.format("%.2f元/kg", fishPrice)
assessment["预期收益"] = String.format("%.2f元", revenue)
assessment["饲料成本"] = String.format("%.2f元", feedCost)
assessment["人工成本"] = String.format("%.2f元", laborCost)
assessment["维护成本"] = String.format("%.2f元", maintenanceCost)
assessment["总成本"] = String.format("%.2f元", totalCost)
assessment["净利润"] = String.format("%.2f元", netProfit)
assessment["利润率"] = String.format("%.1f%%", profitMargin)
assessment["投资回报率"] = String.format("%.1f%%", roi)
return assessment
}
/**
* 生成完整的产鱼量预测报告
*/
fun generateCompleteReport(
species: String,
pondArea: Double,
density: String,
feedInput: Double,
feedQuality: String,
dissolvedOxygen: Double,
phValue: Double,
ammonia: Double,
temperature: Double,
fishPrice: Double
): Map<String, Any> {
val report = mutableMapOf<String, Any>()
// 基础预测
val baseYield = predictBaseYield(species, pondArea, density)
report["基础产量"] = String.format("%.1f kg", baseYield)
// 饲料分析
val feedAnalysis = analyzeFeedEfficiency(feedInput, baseYield, feedQuality)
report["饲料效率"] = feedAnalysis
val feedEfficiency = (feedAnalysis["饲料利用率"] as String).split("%")[0].toDouble() / 100.0
// 水质评估
val waterQuality = assessWaterQualityImpact(dissolvedOxygen, phValue, ammonia, temperature)
report["水质影响"] = waterQuality
val waterQualityFactor = (waterQuality["综合水质系数"] as String).toDouble()
// 周期预测
val cycleYield = predictCycleYield(baseYield, feedEfficiency, waterQualityFactor)
report["养殖周期"] = cycleYield
// 效益评估
val totalYield = (cycleYield["总产量"] as String).split(" ")[0].toDouble()
val benefit = assessFishBenefit(totalYield, fishPrice, feedInput * 2.5, 3000.0, 1000.0)
report["效益评估"] = benefit
return report
}
}
// 使用示例
fun main() {
println("KMP OpenHarmony 鱼塘养殖产鱼量预测器演示\n")
// 基础预测
println("=== 基础产鱼量预测 ===")
val baseYield = FishYieldUtils.predictBaseYield("草鱼", 10.0, "中密度")
println("基础产量: ${String.format("%.1f kg", baseYield)}\n")
// 饲料分析
println("=== 饲料效率分析 ===")
val feedAnalysis = FishYieldUtils.analyzeFeedEfficiency(baseYield * 2.0, baseYield, "良好")
feedAnalysis.forEach { (k, v) -> println("$k: $v") }
println()
// 水质评估
println("=== 水质影响评估 ===")
val waterQuality = FishYieldUtils.assessWaterQualityImpact(6.5, 7.5, 0.3, 28.0)
waterQuality.forEach { (k, v) -> println("$k: $v") }
println()
// 周期预测
println("=== 养殖周期产鱼预测 ===")
val cycleYield = FishYieldUtils.predictCycleYield(baseYield, 0.9, 0.95)
cycleYield.forEach { (k, v) -> println("$k: $v") }
}
Kotlin实现的详细说明
Kotlin实现提供了五个核心功能。基础产鱼量预测根据鱼种、养殖密度和养殖周期计算产量。饲料效率分析计算饲料系数和利用率。水质影响评估综合考虑溶解氧、pH值、氨氮和温度等因素。养殖周期预测根据不同阶段预测产鱼量变化。效益评估分析产鱼量对经济效益的影响。
JavaScript实现
完整的JavaScript代码实现
/**
* 鱼塘养殖产鱼量预测器 - JavaScript版本
*/
class FishYieldJS {
static baseYieldBySpecies = {
'草鱼': 800.0,
'鲤鱼': 600.0,
'鲢鱼': 700.0,
'鳙鱼': 650.0,
'青鱼': 750.0,
'罗非鱼': 900.0
};
static densityCoefficients = {
'低密度': 0.8,
'中密度': 1.0,
'高密度': 1.2,
'超高密度': 1.3
};
static cycleStageCoefficients = {
'苗种期': 0.1,
'幼鱼期': 0.4,
'生长期': 0.8,
'快速生长期': 1.0,
'成熟期': 0.9
};
/**
* 功能1:基础产鱼量预测
*/
static predictBaseYield(species, pondArea, density, yearsOfCultivation = 1) {
const baseYield = this.baseYieldBySpecies[species] || 700.0;
const densityCoefficient = this.densityCoefficients[density] || 1.0;
return baseYield * pondArea * densityCoefficient * yearsOfCultivation;
}
/**
* 功能2:饲料效率分析
*/
static analyzeFeedEfficiency(feedInput, expectedYield, feedQuality) {
const analysis = {};
const feedConversionRatio = expectedYield > 0 ? feedInput / expectedYield : 0;
const qualityCoefficients = {
'优秀': 1.0,
'良好': 0.9,
'一般': 0.8,
'较差': 0.6
};
const qualityCoefficient = qualityCoefficients[feedQuality] || 0.8;
const feedUtilization = (1.0 / feedConversionRatio) * qualityCoefficient * 100;
let efficiency;
if (feedConversionRatio < 1.5) efficiency = '优秀';
else if (feedConversionRatio < 2.0) efficiency = '良好';
else if (feedConversionRatio < 2.5) efficiency = '一般';
else efficiency = '较差';
analysis['饲料投入'] = feedInput.toFixed(1) + ' kg';
analysis['预期产量'] = expectedYield.toFixed(1) + ' kg';
analysis['饲料系数'] = feedConversionRatio.toFixed(2);
analysis['饲料质量'] = feedQuality;
analysis['饲料利用率'] = feedUtilization.toFixed(1) + '%';
analysis['效率评价'] = efficiency;
return analysis;
}
/**
* 功能3:水质影响评估
*/
static assessWaterQualityImpact(dissolvedOxygen, phValue, ammonia, temperature) {
const assessment = {};
let oxygenFactor;
if (dissolvedOxygen < 3) oxygenFactor = 0.4;
else if (dissolvedOxygen < 5) oxygenFactor = 0.7;
else if (dissolvedOxygen <= 8) oxygenFactor = 1.0;
else if (dissolvedOxygen < 10) oxygenFactor = 0.9;
else oxygenFactor = 0.7;
let phFactor;
if (phValue < 6.0) phFactor = 0.6;
else if (phValue < 6.5) phFactor = 0.8;
else if (phValue <= 8.5) phFactor = 1.0;
else if (phValue < 9.0) phFactor = 0.8;
else phFactor = 0.5;
let ammoniaFactor;
if (ammonia < 0.5) ammoniaFactor = 1.0;
else if (ammonia < 1.0) ammoniaFactor = 0.8;
else if (ammonia < 2.0) ammoniaFactor = 0.6;
else ammoniaFactor = 0.3;
let tempFactor;
if (temperature < 15) tempFactor = 0.5;
else if (temperature < 20) tempFactor = 0.8;
else if (temperature <= 30) tempFactor = 1.0;
else if (temperature < 35) tempFactor = 0.8;
else tempFactor = 0.4;
const overallFactor = (oxygenFactor + phFactor + ammoniaFactor + tempFactor) / 4.0;
assessment['溶解氧系数'] = oxygenFactor.toFixed(2);
assessment['pH值系数'] = phFactor.toFixed(2);
assessment['氨氮系数'] = ammoniaFactor.toFixed(2);
assessment['温度系数'] = tempFactor.toFixed(2);
assessment['综合水质系数'] = overallFactor.toFixed(2);
assessment['水质评价'] = overallFactor >= 0.9 ? '优秀' :
overallFactor >= 0.7 ? '良好' :
overallFactor >= 0.5 ? '一般' : '较差';
return assessment;
}
/**
* 功能4:养殖周期产鱼预测
*/
static predictCycleYield(baseYield, feedEfficiency, waterQualityFactor) {
const prediction = {};
const stagePredictions = {};
let totalYield = 0.0;
for (const [stage, coefficient] of Object.entries(this.cycleStageCoefficients)) {
const stageYield = baseYield * coefficient * feedEfficiency * waterQualityFactor;
stagePredictions[stage] = stageYield.toFixed(1) + ' kg';
totalYield += stageYield;
}
prediction['养殖阶段产量'] = stagePredictions;
prediction['总产量'] = totalYield.toFixed(1) + ' kg';
prediction['平均月产量'] = (totalYield / 12).toFixed(1) + ' kg';
prediction['产量评价'] = totalYield >= baseYield * 0.9 ? '优秀' :
totalYield >= baseYield * 0.7 ? '良好' :
totalYield >= baseYield * 0.5 ? '一般' : '较差';
return prediction;
}
/**
* 功能5:产鱼效益评估
*/
static assessFishBenefit(predictedYield, fishPrice, feedCost, laborCost, maintenanceCost) {
const assessment = {};
const revenue = predictedYield * fishPrice;
const totalCost = feedCost + laborCost + maintenanceCost;
const netProfit = revenue - totalCost;
const profitMargin = revenue > 0 ? (netProfit / revenue) * 100 : 0;
const roi = totalCost > 0 ? (netProfit / totalCost) * 100 : 0;
assessment['预测产量'] = predictedYield.toFixed(1) + ' kg';
assessment['鱼价格'] = fishPrice.toFixed(2) + '元/kg';
assessment['预期收益'] = revenue.toFixed(2) + '元';
assessment['饲料成本'] = feedCost.toFixed(2) + '元';
assessment['人工成本'] = laborCost.toFixed(2) + '元';
assessment['维护成本'] = maintenanceCost.toFixed(2) + '元';
assessment['总成本'] = totalCost.toFixed(2) + '元';
assessment['净利润'] = netProfit.toFixed(2) + '元';
assessment['利润率'] = profitMargin.toFixed(1) + '%';
assessment['投资回报率'] = roi.toFixed(1) + '%';
return assessment;
}
/**
* 生成完整的产鱼量预测报告
*/
static generateCompleteReport(species, pondArea, density, feedInput, feedQuality,
dissolvedOxygen, phValue, ammonia, temperature, fishPrice) {
const report = {};
const baseYield = this.predictBaseYield(species, pondArea, density);
report['基础产量'] = baseYield.toFixed(1) + ' kg';
const feedAnalysis = this.analyzeFeedEfficiency(feedInput, baseYield, feedQuality);
report['饲料效率'] = feedAnalysis;
const feedEfficiency = parseFloat(feedAnalysis['饲料利用率']) / 100.0;
const waterQuality = this.assessWaterQualityImpact(dissolvedOxygen, phValue, ammonia, temperature);
report['水质影响'] = waterQuality;
const waterQualityFactor = parseFloat(waterQuality['综合水质系数']);
const cycleYield = this.predictCycleYield(baseYield, feedEfficiency, waterQualityFactor);
report['养殖周期'] = cycleYield;
const totalYield = parseFloat(cycleYield['总产量']);
const benefit = this.assessFishBenefit(totalYield, fishPrice, feedInput * 2.5, 3000.0, 1000.0);
report['效益评估'] = benefit;
return report;
}
}
// 导出供Node.js使用
if (typeof module !== 'undefined' && module.exports) {
module.exports = FishYieldJS;
}
JavaScript实现的详细说明
JavaScript版本充分利用了JavaScript的对象和计算功能。基础预测使用鱼种系数和密度系数。饲料分析计算饲料系数和利用率。水质评估综合多个水质指标计算影响系数。周期预测根据阶段系数预测产量。效益评估分析投入产出比。
ArkTS调用实现
完整的ArkTS代码实现
/**
* 鱼塘养殖产鱼量预测器 - ArkTS版本(OpenHarmony鸿蒙)
*/
import { webview } from '@kit.ArkWeb';
import { common } from '@kit.AbilityKit';
@Entry
@Component
struct FishYieldPage {
@State species: string = '草鱼';
@State pondArea: string = '10';
@State density: string = '中密度';
@State feedInput: string = '1600';
@State feedQuality: string = '良好';
@State dissolvedOxygen: string = '6.5';
@State phValue: string = '7.5';
@State ammonia: string = '0.3';
@State temperature: string = '28';
@State result: string = '';
@State selectedTool: string = '完整预测';
@State isLoading: boolean = false;
@State allResults: string = '';
private baseYieldBySpecies: Record<string, number> = {
'草鱼': 800.0,
'鲤鱼': 600.0,
'鲢鱼': 700.0,
'鳙鱼': 650.0,
'青鱼': 750.0,
'罗非鱼': 900.0
};
private densityCoefficients: Record<string, number> = {
'低密度': 0.8,
'中密度': 1.0,
'高密度': 1.2,
'超高密度': 1.3
};
private cycleStageCoefficients: Record<string, number> = {
'苗种期': 0.1,
'幼鱼期': 0.4,
'生长期': 0.8,
'快速生长期': 1.0,
'成熟期': 0.9
};
webviewController: webview.WebviewController = new webview.WebviewController();
predictBaseYield(species: string, pondArea: number, density: string, yearsOfCultivation: number = 1): number {
const baseYield = this.baseYieldBySpecies[species] || 700.0;
const densityCoefficient = this.densityCoefficients[density] || 1.0;
return baseYield * pondArea * densityCoefficient * yearsOfCultivation;
}
analyzeFeedEfficiency(feedInput: number, expectedYield: number, feedQuality: string): string {
const feedConversionRatio = expectedYield > 0 ? feedInput / expectedYield : 0;
const qualityCoefficients: Record<string, number> = {
'优秀': 1.0,
'良好': 0.9,
'一般': 0.8,
'较差': 0.6
};
const qualityCoefficient = qualityCoefficients[feedQuality] || 0.8;
const feedUtilization = (1.0 / feedConversionRatio) * qualityCoefficient * 100;
let efficiency;
if (feedConversionRatio < 1.5) efficiency = '优秀';
else if (feedConversionRatio < 2.0) efficiency = '良好';
else if (feedConversionRatio < 2.5) efficiency = '一般';
else efficiency = '较差';
let result = `饲料效率分析:\n`;
result += `饲料投入: ${feedInput.toFixed(1)} kg\n`;
result += `预期产量: ${expectedYield.toFixed(1)} kg\n`;
result += `饲料系数: ${feedConversionRatio.toFixed(2)}\n`;
result += `饲料利用率: ${feedUtilization.toFixed(1)}%\n`;
result += `效率评价: ${efficiency}`;
return result;
}
assessWaterQualityImpact(dissolvedOxygen: number, phValue: number, ammonia: number, temperature: number): string {
let oxygenFactor;
if (dissolvedOxygen < 3) oxygenFactor = 0.4;
else if (dissolvedOxygen < 5) oxygenFactor = 0.7;
else if (dissolvedOxygen <= 8) oxygenFactor = 1.0;
else if (dissolvedOxygen < 10) oxygenFactor = 0.9;
else oxygenFactor = 0.7;
let phFactor;
if (phValue < 6.0) phFactor = 0.6;
else if (phValue < 6.5) phFactor = 0.8;
else if (phValue <= 8.5) phFactor = 1.0;
else if (phValue < 9.0) phFactor = 0.8;
else phFactor = 0.5;
let ammoniaFactor;
if (ammonia < 0.5) ammoniaFactor = 1.0;
else if (ammonia < 1.0) ammoniaFactor = 0.8;
else if (ammonia < 2.0) ammoniaFactor = 0.6;
else ammoniaFactor = 0.3;
let tempFactor;
if (temperature < 15) tempFactor = 0.5;
else if (temperature < 20) tempFactor = 0.8;
else if (temperature <= 30) tempFactor = 1.0;
else if (temperature < 35) tempFactor = 0.8;
else tempFactor = 0.4;
const overallFactor = (oxygenFactor + phFactor + ammoniaFactor + tempFactor) / 4.0;
let result = `水质影响评估:\n`;
result += `溶解氧系数: ${oxygenFactor.toFixed(2)}\n`;
result += `pH值系数: ${phFactor.toFixed(2)}\n`;
result += `氨氮系数: ${ammoniaFactor.toFixed(2)}\n`;
result += `温度系数: ${tempFactor.toFixed(2)}\n`;
result += `综合水质系数: ${overallFactor.toFixed(2)}\n`;
result += `水质评价: ${overallFactor >= 0.9 ? '优秀' : overallFactor >= 0.7 ? '良好' : overallFactor >= 0.5 ? '一般' : '较差'}`;
return result;
}
predictCycleYield(baseYield: number, feedEfficiency: number, waterQualityFactor: number): string {
let result = `养殖周期产鱼预测:\n`;
let totalYield = 0.0;
for (const [stage, coefficient] of Object.entries(this.cycleStageCoefficients)) {
const stageYield = baseYield * coefficient * feedEfficiency * waterQualityFactor;
result += `${stage}: ${stageYield.toFixed(1)} kg\n`;
totalYield += stageYield;
}
result += `\n总产量: ${totalYield.toFixed(1)} kg\n`;
result += `平均月产量: ${(totalYield / 12).toFixed(1)} kg`;
return result;
}
assessFishBenefit(predictedYield: number, fishPrice: number, feedCost: number): string {
const revenue = predictedYield * fishPrice;
const totalCost = feedCost + 3000.0 + 1000.0;
const netProfit = revenue - totalCost;
const roi = totalCost > 0 ? (netProfit / totalCost) * 100 : 0;
let result = `产鱼效益评估:\n`;
result += `预测产量: ${predictedYield.toFixed(1)} kg\n`;
result += `鱼价格: ${fishPrice.toFixed(2)}元/kg\n`;
result += `预期收益: ${revenue.toFixed(2)}元\n`;
result += `总成本: ${totalCost.toFixed(2)}元\n`;
result += `净利润: ${netProfit.toFixed(2)}元\n`;
result += `投资回报率: ${roi.toFixed(1)}%`;
return result;
}
generateCompleteReport(species: string, pondArea: number, density: string, feedInput: number,
feedQuality: string, dissolvedOxygen: number, phValue: number,
ammonia: number, temperature: number, fishPrice: number = 12.0): string {
const baseYield = this.predictBaseYield(species, pondArea, density);
let result = `=== 鱼塘产鱼量完整预测报告 ===\n\n`;
result += `鱼种: ${species}\n`;
result += `塘面积: ${pondArea}亩\n`;
result += `养殖密度: ${density}\n`;
result += `基础产量: ${baseYield.toFixed(1)} kg\n\n`;
result += this.analyzeFeedEfficiency(feedInput, baseYield, feedQuality) + '\n\n';
result += this.assessWaterQualityImpact(dissolvedOxygen, phValue, ammonia, temperature) + '\n\n';
const feedEfficiency = 0.9;
const waterQualityFactor = 0.95;
result += this.predictCycleYield(baseYield, feedEfficiency, waterQualityFactor) + '\n\n';
const totalYield = baseYield * feedEfficiency * waterQualityFactor;
result += this.assessFishBenefit(totalYield, fishPrice, feedInput * 2.5);
return result;
}
async executeCalculation() {
this.isLoading = true;
try {
const area = parseFloat(this.pondArea);
const feed = parseFloat(this.feedInput);
const oxygen = parseFloat(this.dissolvedOxygen);
const ph = parseFloat(this.phValue);
const amm = parseFloat(this.ammonia);
const temp = parseFloat(this.temperature);
if (isNaN(area) || isNaN(feed) || area <= 0) {
this.result = '请输入有效的数值';
this.isLoading = false;
return;
}
let result = '';
switch (this.selectedTool) {
case '基础预测':
const baseYield = this.predictBaseYield(this.species, area, this.density);
result = `基础产鱼量预测: ${baseYield.toFixed(1)} kg`;
break;
case '饲料分析':
const baseYield2 = this.predictBaseYield(this.species, area, this.density);
result = this.analyzeFeedEfficiency(feed, baseYield2, this.feedQuality);
break;
case '水质评估':
result = this.assessWaterQualityImpact(oxygen, ph, amm, temp);
break;
case '完整预测':
result = this.generateCompleteReport(this.species, area, this.density, feed, this.feedQuality, oxygen, ph, amm, temp);
break;
}
this.result = result;
this.allResults = this.generateCompleteReport(this.species, area, this.density, feed, this.feedQuality, oxygen, ph, amm, temp);
} catch (error) {
this.result = '执行错误:' + error;
}
this.isLoading = false;
}
build() {
Column() {
Row() {
Text('鱼塘养殖产鱼量预测器')
.fontSize(24)
.fontWeight(FontWeight.Bold)
.fontColor(Color.White)
}
.width('100%')
.height(60)
.backgroundColor('#1565C0')
.justifyContent(FlexAlign.Center)
Scroll() {
Column({ space: 12 }) {
Column() {
Text('鱼种:')
.fontSize(12)
.fontWeight(FontWeight.Bold)
Select([
{ value: '草鱼' },
{ value: '鲤鱼' },
{ value: '鲢鱼' },
{ value: '鳙鱼' },
{ value: '青鱼' },
{ value: '罗非鱼' }
])
.value(this.species)
.onSelect((index: number, value: string) => {
this.species = value;
})
.width('100%')
}
.width('100%')
.padding(10)
.backgroundColor('#E3F2FD')
.borderRadius(8)
Column() {
Text('塘面积 (亩):')
.fontSize(12)
.fontWeight(FontWeight.Bold)
TextInput({ placeholder: '请输入塘面积' })
.value(this.pondArea)
.onChange((value: string) => { this.pondArea = value; })
.width('100%')
.height(50)
.padding(8)
}
.width('100%')
.padding(10)
.backgroundColor('#E3F2FD')
.borderRadius(8)
Column() {
Text('养殖密度:')
.fontSize(12)
.fontWeight(FontWeight.Bold)
Select([
{ value: '低密度' },
{ value: '中密度' },
{ value: '高密度' },
{ value: '超高密度' }
])
.value(this.density)
.onSelect((index: number, value: string) => {
this.density = value;
})
.width('100%')
}
.width('100%')
.padding(10)
.backgroundColor('#E3F2FD')
.borderRadius(8)
Column() {
Text('饲料投入 (kg):')
.fontSize(12)
.fontWeight(FontWeight.Bold)
TextInput({ placeholder: '请输入饲料投入' })
.value(this.feedInput)
.onChange((value: string) => { this.feedInput = value; })
.width('100%')
.height(50)
.padding(8)
}
.width('100%')
.padding(10)
.backgroundColor('#E3F2FD')
.borderRadius(8)
Column() {
Text('饲料质量:')
.fontSize(12)
.fontWeight(FontWeight.Bold)
Select([
{ value: '优秀' },
{ value: '良好' },
{ value: '一般' },
{ value: '较差' }
])
.value(this.feedQuality)
.onSelect((index: number, value: string) => {
this.feedQuality = value;
})
.width('100%')
}
.width('100%')
.padding(10)
.backgroundColor('#E3F2FD')
.borderRadius(8)
Column() {
Text('溶解氧 (mg/L):')
.fontSize(12)
.fontWeight(FontWeight.Bold)
TextInput({ placeholder: '请输入溶解氧' })
.value(this.dissolvedOxygen)
.onChange((value: string) => { this.dissolvedOxygen = value; })
.width('100%')
.height(50)
.padding(8)
}
.width('100%')
.padding(10)
.backgroundColor('#E3F2FD')
.borderRadius(8)
Column() {
Text('pH值:')
.fontSize(12)
.fontWeight(FontWeight.Bold)
TextInput({ placeholder: '请输入pH值' })
.value(this.phValue)
.onChange((value: string) => { this.phValue = value; })
.width('100%')
.height(50)
.padding(8)
}
.width('100%')
.padding(10)
.backgroundColor('#E3F2FD')
.borderRadius(8)
Column() {
Text('氨氮 (mg/L):')
.fontSize(12)
.fontWeight(FontWeight.Bold)
TextInput({ placeholder: '请输入氨氮' })
.value(this.ammonia)
.onChange((value: string) => { this.ammonia = value; })
.width('100%')
.height(50)
.padding(8)
}
.width('100%')
.padding(10)
.backgroundColor('#E3F2FD')
.borderRadius(8)
Column() {
Text('水温 (°C):')
.fontSize(12)
.fontWeight(FontWeight.Bold)
TextInput({ placeholder: '请输入水温' })
.value(this.temperature)
.onChange((value: string) => { this.temperature = value; })
.width('100%')
.height(50)
.padding(8)
}
.width('100%')
.padding(10)
.backgroundColor('#E3F2FD')
.borderRadius(8)
Column() {
Text('选择工具:')
.fontSize(12)
.fontWeight(FontWeight.Bold)
Select([
{ value: '基础预测' },
{ value: '饲料分析' },
{ value: '水质评估' },
{ value: '完整预测' }
])
.value(this.selectedTool)
.onSelect((index: number, value: string) => {
this.selectedTool = value;
})
.width('100%')
}
.width('100%')
.padding(10)
.backgroundColor('#E3F2FD')
.borderRadius(8)
if (this.result) {
Column() {
Text('结果:')
.fontSize(12)
.fontWeight(FontWeight.Bold)
Text(this.result)
.fontSize(11)
.width('100%')
.padding(8)
.backgroundColor('#F5F5F5')
.borderRadius(4)
}
.width('100%')
.padding(10)
.backgroundColor('#F5F5F5')
.borderRadius(8)
}
if (this.allResults) {
Column() {
Text('完整报告:')
.fontSize(12)
.fontWeight(FontWeight.Bold)
Text(this.allResults)
.fontSize(11)
.width('100%')
.padding(8)
.backgroundColor('#E8F5E9')
.borderRadius(4)
}
.width('100%')
.padding(10)
.backgroundColor('#E8F5E9')
.borderRadius(8)
}
Button('预测产鱼量')
.width('100%')
.onClick(() => this.executeCalculation())
.enabled(!this.isLoading)
if (this.isLoading) {
LoadingProgress()
.width(40)
.height(40)
}
}
.width('100%')
.padding(16)
}
.layoutWeight(1)
}
.width('100%')
.height('100%')
.backgroundColor('#FAFAFA')
}
}
ArkTS实现的详细说明
ArkTS版本为OpenHarmony鸿蒙平台提供了完整的用户界面。通过@State装饰器,我们可以管理应用的状态。这个实现包含了鱼种、塘面积、养殖密度、饲料投入、水质参数等输入框,工具选择和结果显示功能。用户可以输入鱼塘养殖数据,选择不同的预测工具,查看产鱼量预测结果。
应用场景分析
1. 养殖规划制定
在养殖规划中,需要根据预测的产鱼量制定养殖计划。养殖户使用产鱼量预测器来规划养殖时间和规模。
2. 饲料管理和优化
在饲料管理中,需要根据预期产量分配饲料投入。养殖户使用预测器来优化饲料投入。
3. 水质管理和控制
在水质管理中,需要根据养殖密度调整水质管理策略。养殖户使用预测器来改善水质条件。
4. 成本控制和投入
在成本控制中,需要根据预期收益制定投入计划。养殖户使用预测器来评估投资回报。
5. 市场预测和销售
在市场预测中,需要预测产鱼量来制定销售策略。养殖户使用预测器来规划销售计划。
性能优化建议
1. 缓存鱼种数据
对于常用的鱼种,可以缓存基础产量数据。
2. 实时水质监测
与传感器集成获取实时水质数据。
3. 历史数据分析
根据历史产量数据优化预测模型。
4. 机器学习优化
使用机器学习模型提高预测准确度。
总结
鱼塘养殖产鱼量预测器是现代水产养殖中的重要工具。通过在KMP框架下实现这套工具,我们可以在多个平台上使用同一套代码,提高开发效率。这个工具提供了基础预测、饲料分析、水质评估、周期预测和效益评估等多种功能,可以满足大多数鱼塘养殖应用的需求。
在OpenHarmony鸿蒙平台上,我们可以通过ArkTS调用这些工具,为养殖户提供完整的产鱼量预测体验。掌握这套工具,不仅能够帮助养殖户科学管理鱼塘,更重要的是能够在实际项目中灵活应用,解决养殖规划、成本控制等实际问题。
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