KMP OpenHarmony 蜜蜂养殖产蜜量预测器
本文介绍了一个基于KMP框架开发的蜜蜂养殖产蜜量预测系统。该系统通过综合分析蜂群规模、蜜源植物、气象条件和蜂群健康等关键因素,提供科学的产蜜量预测功能。核心功能包括基础产蜜量预测、气象影响分析、蜂群健康评估、季节性预测和效益评估。系统采用Kotlin语言实现,提供详细的算法模型和计算逻辑,如温度、降雨、风速等气象因素对产蜜量的影响系数计算。该预测器可帮助养蜂户优化生产计划,提高经济效益,并支持在O

文章概述
蜜蜂养殖是一项重要的农业活动,产蜜量直接影响养蜂户的经济效益。蜜蜂的产蜜量受多个因素影响,包括蜂群规模、蜜源植物、气象条件、蜂群健康状况等。蜜蜂养殖产蜜量预测器通过综合分析这些因素,科学预测蜜蜂的产蜜量,帮助养蜂户制定合理的生产计划,优化资源配置,提高养蜂效益。
蜜蜂养殖产蜜量预测器在实际应用中有广泛的用途。在生产计划中,需要根据预测的产蜜量制定采蜜计划。在资源管理中,需要根据预期产量分配饲料和药物。在市场预测中,需要预测产蜜量来制定销售策略。在成本控制中,需要根据预期收益制定投入计划。在蜂群管理中,需要根据产蜜潜力进行蜂群调整。
本文将深入探讨如何在KMP(Kotlin Multiplatform)框架下实现一套完整的蜜蜂养殖产蜜量预测器,并展示如何在OpenHarmony鸿蒙平台上进行跨端调用。我们将提供多种产蜜量预测功能,包括基础预测、综合分析、风险评估等,帮助养蜂户科学管理蜂群。
工具功能详解
核心功能
功能1:基础产蜜量预测(Basic Honey Yield Prediction)
根据蜂群规模和蜜源情况进行基础的产蜜量预测。这是产蜜量预测的基础。
功能特点:
- 支持多种蜂群类型
- 基于蜂群数量计算
- 考虑蜜源植物影响
- 返回详细的预测结果
功能2:气象影响分析(Weather Impact Analysis)
分析气象条件对产蜜量的影响,包括温度、降雨、风速等。
功能特点:
- 综合多个气象指标
- 计算气象影响系数
- 返回修正后的预测
- 提供气象建议
功能3:蜂群健康评估(Bee Colony Health Assessment)
评估蜂群的健康状况对产蜜量的影响。
功能特点:
- 分析蜂群疾病风险
- 评估蜂群体质
- 计算健康系数
- 提供防护建议
功能4:季节性产蜜预测(Seasonal Honey Yield Prediction)
根据季节特点预测不同季节的产蜜量。
功能特点:
- 支持多个季节
- 考虑季节特性
- 生成产蜜日历
- 提供采蜜时间建议
功能5:产蜜效益评估(Honey Yield Benefit Assessment)
评估产蜜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
/**
* 蜜蜂养殖产蜜量预测器 - KMP OpenHarmony
* 提供蜜蜂产蜜量预测的多种功能
*/
object HoneyYieldUtils {
// 蜂群基础产蜜量(kg/群/年)
private val baseHoneyYield = mapOf(
"意大利蜜蜂" to 30.0,
"中蜂" to 15.0,
"卡尼鄂拉蜂" to 35.0,
"高加索蜂" to 32.0
)
// 蜜源植物产蜜系数
private val nectarSourceCoefficients = mapOf(
"油菜花" to 1.2,
"向日葵" to 1.0,
"槐花" to 1.3,
"荞麦" to 0.9,
"紫云英" to 1.1,
"枣花" to 1.4
)
// 季节系数
private val seasonalCoefficients = mapOf(
"春季" to 1.0,
"初夏" to 1.3,
"盛夏" to 1.1,
"秋季" to 0.9,
"冬季" to 0.3
)
/**
* 功能1:基础产蜜量预测
*/
fun predictBaseHoneyYield(
beeType: String,
colonyCount: Int,
nectarSource: String
): Double {
val baseYield = baseHoneyYield[beeType] ?: 25.0
val nectarCoefficient = nectarSourceCoefficients[nectarSource] ?: 1.0
return baseYield * colonyCount * nectarCoefficient
}
/**
* 功能2:气象影响分析
*/
fun analyzeWeatherImpact(
temperature: Double,
rainfall: Double,
windSpeed: Double,
sunlight: Double
): Map<String, Any> {
val impact = mutableMapOf<String, Any>()
// 温度影响(最适温度20-30°C)
val tempFactor = when {
temperature < 10 -> 0.3
temperature < 15 -> 0.6
temperature < 20 -> 0.8
temperature <= 30 -> 1.0
temperature < 35 -> 0.8
else -> 0.4
}
// 降雨影响(过多或过少都不利)
val rainfallFactor = when {
rainfall < 20 -> 0.7
rainfall < 50 -> 1.0
rainfall < 100 -> 0.9
else -> 0.5
}
// 风速影响(过大不利)
val windFactor = when {
windSpeed < 2 -> 0.8
windSpeed < 4 -> 1.0
windSpeed < 6 -> 0.8
else -> 0.5
}
// 光照影响(充足光照有利)
val sunFactor = when {
sunlight < 4 -> 0.6
sunlight < 6 -> 0.8
sunlight < 8 -> 1.0
else -> 0.9
}
val overallFactor = (tempFactor + rainfallFactor + windFactor + sunFactor) / 4.0
impact["温度影响系数"] = String.format("%.2f", tempFactor)
impact["降雨影响系数"] = String.format("%.2f", rainfallFactor)
impact["风速影响系数"] = String.format("%.2f", windFactor)
impact["光照影响系数"] = String.format("%.2f", sunFactor)
impact["综合气象系数"] = String.format("%.2f", overallFactor)
impact["气象评价"] = when {
overallFactor >= 0.9 -> "优秀"
overallFactor >= 0.7 -> "良好"
overallFactor >= 0.5 -> "一般"
else -> "较差"
}
return impact
}
/**
* 功能3:蜂群健康评估
*/
fun assessColonyHealth(
diseaseRisk: Double,
parasiteLevel: Double,
foodSupply: Double,
queenCondition: String
): Map<String, Any> {
val assessment = mutableMapOf<String, Any>()
// 疾病风险系数(0-1,越低越好)
val diseaseCoefficient = 1.0 - (diseaseRisk / 100.0).coerceIn(0.0, 1.0)
// 寄生虫水平系数(0-1,越低越好)
val parasiteCoefficient = 1.0 - (parasiteLevel / 100.0).coerceIn(0.0, 1.0)
// 食物供应系数
val foodCoefficient = when {
foodSupply < 5 -> 0.5
foodSupply < 10 -> 0.7
foodSupply < 20 -> 1.0
else -> 0.9
}
// 蜂王状况系数
val queenCoefficient = when (queenCondition) {
"优秀" -> 1.0
"良好" -> 0.9
"一般" -> 0.7
"较差" -> 0.4
else -> 0.5
}
val healthScore = (diseaseCoefficient + parasiteCoefficient + foodCoefficient + queenCoefficient) / 4.0 * 100
assessment["疾病风险系数"] = String.format("%.2f", diseaseCoefficient)
assessment["寄生虫系数"] = String.format("%.2f", parasiteCoefficient)
assessment["食物供应系数"] = String.format("%.2f", foodCoefficient)
assessment["蜂王状况系数"] = String.format("%.2f", queenCoefficient)
assessment["健康评分"] = String.format("%.1f", healthScore)
assessment["健康等级"] = when {
healthScore >= 80 -> "优秀"
healthScore >= 60 -> "良好"
healthScore >= 40 -> "一般"
else -> "较差"
}
return assessment
}
/**
* 功能4:季节性产蜜预测
*/
fun predictSeasonalYield(
baseYield: Double,
weatherFactor: Double,
healthFactor: Double
): Map<String, Any> {
val prediction = mutableMapOf<String, Any>()
val seasonalPredictions = mutableMapOf<String, String>()
var totalYield = 0.0
for ((season, coefficient) in seasonalCoefficients) {
val seasonalYield = baseYield * coefficient * weatherFactor * healthFactor
seasonalPredictions[season] = String.format("%.1f kg", seasonalYield)
totalYield += seasonalYield
}
prediction["季节产蜜预测"] = seasonalPredictions
prediction["年总产蜜量"] = String.format("%.1f kg", totalYield)
prediction["平均月产蜜量"] = String.format("%.1f kg", totalYield / 12)
return prediction
}
/**
* 功能5:产蜜效益评估
*/
fun assessHoneyBenefit(
predictedYield: Double,
honeyPrice: Double,
feedCost: Double,
medicineCost: Double,
laborCost: Double
): Map<String, Any> {
val assessment = mutableMapOf<String, Any>()
val revenue = predictedYield * honeyPrice
val totalCost = feedCost + medicineCost + laborCost
val netProfit = revenue - totalCost
val profitMargin = (netProfit / revenue) * 100
val roi = (netProfit / totalCost) * 100
assessment["预测产蜜量"] = String.format("%.1f kg", predictedYield)
assessment["蜂蜜价格"] = String.format("%.2f元/kg", honeyPrice)
assessment["预期收益"] = String.format("%.2f元", revenue)
assessment["饲料成本"] = String.format("%.2f元", feedCost)
assessment["药物成本"] = String.format("%.2f元", medicineCost)
assessment["人工成本"] = String.format("%.2f元", laborCost)
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
}
/**
* 生成完整的产蜜量预测报告
*/
fun generateCompleteReport(
beeType: String,
colonyCount: Int,
nectarSource: String,
temperature: Double,
rainfall: Double,
windSpeed: Double,
sunlight: Double,
diseaseRisk: Double,
parasiteLevel: Double,
foodSupply: Double,
queenCondition: String,
honeyPrice: Double
): Map<String, Any> {
val report = mutableMapOf<String, Any>()
// 基础预测
val baseYield = predictBaseHoneyYield(beeType, colonyCount, nectarSource)
report["基础产蜜量"] = String.format("%.1f kg", baseYield)
// 气象分析
val weatherImpact = analyzeWeatherImpact(temperature, rainfall, windSpeed, sunlight)
report["气象影响"] = weatherImpact
val weatherFactor = (weatherImpact["综合气象系数"] as String).toDouble()
// 健康评估
val healthAssessment = assessColonyHealth(diseaseRisk, parasiteLevel, foodSupply, queenCondition)
report["蜂群健康"] = healthAssessment
val healthFactor = (healthAssessment["健康评分"] as String).toDouble() / 100.0
// 季节预测
val seasonalYield = predictSeasonalYield(baseYield, weatherFactor, healthFactor)
report["季节预测"] = seasonalYield
// 效益评估
val totalYield = (seasonalYield["年总产蜜量"] as String).split(" ")[0].toDouble()
val benefit = assessHoneyBenefit(totalYield, honeyPrice, 2000.0, 500.0, 3000.0)
report["效益评估"] = benefit
return report
}
}
// 使用示例
fun main() {
println("KMP OpenHarmony 蜜蜂养殖产蜜量预测器演示\n")
// 基础预测
println("=== 基础产蜜量预测 ===")
val baseYield = HoneyYieldUtils.predictBaseHoneyYield("意大利蜜蜂", 50, "槐花")
println("预测产蜜量: ${String.format("%.1f kg", baseYield)}\n")
// 气象影响
println("=== 气象影响分析 ===")
val weatherImpact = HoneyYieldUtils.analyzeWeatherImpact(25.0, 60.0, 3.0, 7.0)
weatherImpact.forEach { (k, v) -> println("$k: $v") }
println()
// 蜂群健康
println("=== 蜂群健康评估 ===")
val health = HoneyYieldUtils.assessColonyHealth(10.0, 5.0, 15.0, "优秀")
health.forEach { (k, v) -> println("$k: $v") }
println()
// 季节预测
println("=== 季节性产蜜预测 ===")
val seasonal = HoneyYieldUtils.predictSeasonalYield(baseYield, 0.9, 0.95)
seasonal.forEach { (k, v) -> println("$k: $v") }
}
Kotlin实现的详细说明
Kotlin实现提供了五个核心功能。基础产蜜量预测根据蜂群类型和蜜源植物计算产蜜量。气象影响分析综合考虑温度、降雨、风速和光照等因素。蜂群健康评估分析疾病、寄生虫、食物和蜂王状况。季节性预测根据季节特点预测不同时期的产蜜量。效益评估分析产蜜量对经济效益的影响。
JavaScript实现
完整的JavaScript代码实现
/**
* 蜜蜂养殖产蜜量预测器 - JavaScript版本
*/
class HoneyYieldJS {
static baseHoneyYield = {
'意大利蜜蜂': 30.0,
'中蜂': 15.0,
'卡尼鄂拉蜂': 35.0,
'高加索蜂': 32.0
};
static nectarSourceCoefficients = {
'油菜花': 1.2,
'向日葵': 1.0,
'槐花': 1.3,
'荞麦': 0.9,
'紫云英': 1.1,
'枣花': 1.4
};
static seasonalCoefficients = {
'春季': 1.0,
'初夏': 1.3,
'盛夏': 1.1,
'秋季': 0.9,
'冬季': 0.3
};
/**
* 功能1:基础产蜜量预测
*/
static predictBaseHoneyYield(beeType, colonyCount, nectarSource) {
const baseYield = this.baseHoneyYield[beeType] || 25.0;
const nectarCoefficient = this.nectarSourceCoefficients[nectarSource] || 1.0;
return baseYield * colonyCount * nectarCoefficient;
}
/**
* 功能2:气象影响分析
*/
static analyzeWeatherImpact(temperature, rainfall, windSpeed, sunlight) {
const impact = {};
let tempFactor;
if (temperature < 10) tempFactor = 0.3;
else if (temperature < 15) tempFactor = 0.6;
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;
let rainfallFactor;
if (rainfall < 20) rainfallFactor = 0.7;
else if (rainfall < 50) rainfallFactor = 1.0;
else if (rainfall < 100) rainfallFactor = 0.9;
else rainfallFactor = 0.5;
let windFactor;
if (windSpeed < 2) windFactor = 0.8;
else if (windSpeed < 4) windFactor = 1.0;
else if (windSpeed < 6) windFactor = 0.8;
else windFactor = 0.5;
let sunFactor;
if (sunlight < 4) sunFactor = 0.6;
else if (sunlight < 6) sunFactor = 0.8;
else if (sunlight < 8) sunFactor = 1.0;
else sunFactor = 0.9;
const overallFactor = (tempFactor + rainfallFactor + windFactor + sunFactor) / 4.0;
impact['温度影响系数'] = tempFactor.toFixed(2);
impact['降雨影响系数'] = rainfallFactor.toFixed(2);
impact['风速影响系数'] = windFactor.toFixed(2);
impact['光照影响系数'] = sunFactor.toFixed(2);
impact['综合气象系数'] = overallFactor.toFixed(2);
impact['气象评价'] = overallFactor >= 0.9 ? '优秀' :
overallFactor >= 0.7 ? '良好' :
overallFactor >= 0.5 ? '一般' : '较差';
return impact;
}
/**
* 功能3:蜂群健康评估
*/
static assessColonyHealth(diseaseRisk, parasiteLevel, foodSupply, queenCondition) {
const assessment = {};
const diseaseCoefficient = 1.0 - Math.min(diseaseRisk / 100.0, 1.0);
const parasiteCoefficient = 1.0 - Math.min(parasiteLevel / 100.0, 1.0);
let foodCoefficient;
if (foodSupply < 5) foodCoefficient = 0.5;
else if (foodSupply < 10) foodCoefficient = 0.7;
else if (foodSupply < 20) foodCoefficient = 1.0;
else foodCoefficient = 0.9;
let queenCoefficient;
if (queenCondition === '优秀') queenCoefficient = 1.0;
else if (queenCondition === '良好') queenCoefficient = 0.9;
else if (queenCondition === '一般') queenCoefficient = 0.7;
else if (queenCondition === '较差') queenCoefficient = 0.4;
else queenCoefficient = 0.5;
const healthScore = (diseaseCoefficient + parasiteCoefficient + foodCoefficient + queenCoefficient) / 4.0 * 100;
assessment['疾病风险系数'] = diseaseCoefficient.toFixed(2);
assessment['寄生虫系数'] = parasiteCoefficient.toFixed(2);
assessment['食物供应系数'] = foodCoefficient.toFixed(2);
assessment['蜂王状况系数'] = queenCoefficient.toFixed(2);
assessment['健康评分'] = healthScore.toFixed(1);
assessment['健康等级'] = healthScore >= 80 ? '优秀' :
healthScore >= 60 ? '良好' :
healthScore >= 40 ? '一般' : '较差';
return assessment;
}
/**
* 功能4:季节性产蜜预测
*/
static predictSeasonalYield(baseYield, weatherFactor, healthFactor) {
const prediction = {};
const seasonalPredictions = {};
let totalYield = 0.0;
for (const [season, coefficient] of Object.entries(this.seasonalCoefficients)) {
const seasonalYield = baseYield * coefficient * weatherFactor * healthFactor;
seasonalPredictions[season] = seasonalYield.toFixed(1) + ' kg';
totalYield += seasonalYield;
}
prediction['季节产蜜预测'] = seasonalPredictions;
prediction['年总产蜜量'] = totalYield.toFixed(1) + ' kg';
prediction['平均月产蜜量'] = (totalYield / 12).toFixed(1) + ' kg';
return prediction;
}
/**
* 功能5:产蜜效益评估
*/
static assessHoneyBenefit(predictedYield, honeyPrice, feedCost, medicineCost, laborCost) {
const assessment = {};
const revenue = predictedYield * honeyPrice;
const totalCost = feedCost + medicineCost + laborCost;
const netProfit = revenue - totalCost;
const profitMargin = (netProfit / revenue) * 100;
const roi = (netProfit / totalCost) * 100;
assessment['预测产蜜量'] = predictedYield.toFixed(1) + ' kg';
assessment['蜂蜜价格'] = honeyPrice.toFixed(2) + '元/kg';
assessment['预期收益'] = revenue.toFixed(2) + '元';
assessment['饲料成本'] = feedCost.toFixed(2) + '元';
assessment['药物成本'] = medicineCost.toFixed(2) + '元';
assessment['人工成本'] = laborCost.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;
}
/**
* 生成完整的产蜜量预测报告
*/
static generateCompleteReport(beeType, colonyCount, nectarSource, temperature, rainfall,
windSpeed, sunlight, diseaseRisk, parasiteLevel, foodSupply,
queenCondition, honeyPrice) {
const report = {};
const baseYield = this.predictBaseHoneyYield(beeType, colonyCount, nectarSource);
report['基础产蜜量'] = baseYield.toFixed(1) + ' kg';
const weatherImpact = this.analyzeWeatherImpact(temperature, rainfall, windSpeed, sunlight);
report['气象影响'] = weatherImpact;
const weatherFactor = parseFloat(weatherImpact['综合气象系数']);
const healthAssessment = this.assessColonyHealth(diseaseRisk, parasiteLevel, foodSupply, queenCondition);
report['蜂群健康'] = healthAssessment;
const healthFactor = parseFloat(healthAssessment['健康评分']) / 100.0;
const seasonalYield = this.predictSeasonalYield(baseYield, weatherFactor, healthFactor);
report['季节预测'] = seasonalYield;
const totalYield = parseFloat(seasonalYield['年总产蜜量']);
const benefit = this.assessHoneyBenefit(totalYield, honeyPrice, 2000.0, 500.0, 3000.0);
report['效益评估'] = benefit;
return report;
}
}
// 导出供Node.js使用
if (typeof module !== 'undefined' && module.exports) {
module.exports = HoneyYieldJS;
}
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。基础预测使用蜂群类型和蜜源系数。气象分析综合多个气象指标计算影响系数。健康评估分析多个健康因素。季节预测根据季节系数预测产蜜量。效益评估分析投入产出比。
ArkTS调用实现
完整的ArkTS代码实现
/**
* 蜜蜂养殖产蜜量预测器 - ArkTS版本(OpenHarmony鸿蒙)
*/
import { webview } from '@kit.ArkWeb';
import { common } from '@kit.AbilityKit';
@Entry
@Component
struct HoneyYieldPage {
@State beeType: string = '意大利蜜蜂';
@State colonyCount: string = '50';
@State nectarSource: string = '槐花';
@State temperature: string = '25';
@State rainfall: string = '60';
@State windSpeed: string = '3';
@State sunlight: string = '7';
@State result: string = '';
@State selectedTool: string = '完整预测';
@State isLoading: boolean = false;
@State allResults: string = '';
private baseHoneyYield: Record<string, number> = {
'意大利蜜蜂': 30.0,
'中蜂': 15.0,
'卡尼鄂拉蜂': 35.0,
'高加索蜂': 32.0
};
private nectarSourceCoefficients: Record<string, number> = {
'油菜花': 1.2,
'向日葵': 1.0,
'槐花': 1.3,
'荞麦': 0.9,
'紫云英': 1.1,
'枣花': 1.4
};
private seasonalCoefficients: Record<string, number> = {
'春季': 1.0,
'初夏': 1.3,
'盛夏': 1.1,
'秋季': 0.9,
'冬季': 0.3
};
webviewController: webview.WebviewController = new webview.WebviewController();
predictBaseHoneyYield(beeType: string, colonyCount: number, nectarSource: string): number {
const baseYield = this.baseHoneyYield[beeType] || 25.0;
const nectarCoefficient = this.nectarSourceCoefficients[nectarSource] || 1.0;
return baseYield * colonyCount * nectarCoefficient;
}
analyzeWeatherImpact(temperature: number, rainfall: number, windSpeed: number, sunlight: number): string {
let tempFactor;
if (temperature < 10) tempFactor = 0.3;
else if (temperature < 15) tempFactor = 0.6;
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;
let rainfallFactor;
if (rainfall < 20) rainfallFactor = 0.7;
else if (rainfall < 50) rainfallFactor = 1.0;
else if (rainfall < 100) rainfallFactor = 0.9;
else rainfallFactor = 0.5;
let windFactor;
if (windSpeed < 2) windFactor = 0.8;
else if (windSpeed < 4) windFactor = 1.0;
else if (windSpeed < 6) windFactor = 0.8;
else windFactor = 0.5;
let sunFactor;
if (sunlight < 4) sunFactor = 0.6;
else if (sunlight < 6) sunFactor = 0.8;
else if (sunlight < 8) sunFactor = 1.0;
else sunFactor = 0.9;
const overallFactor = (tempFactor + rainfallFactor + windFactor + sunFactor) / 4.0;
let result = `气象影响分析:\n`;
result += `温度系数: ${tempFactor.toFixed(2)}\n`;
result += `降雨系数: ${rainfallFactor.toFixed(2)}\n`;
result += `风速系数: ${windFactor.toFixed(2)}\n`;
result += `光照系数: ${sunFactor.toFixed(2)}\n`;
result += `综合系数: ${overallFactor.toFixed(2)}\n`;
result += `气象评价: ${overallFactor >= 0.9 ? '优秀' : overallFactor >= 0.7 ? '良好' : overallFactor >= 0.5 ? '一般' : '较差'}`;
return result;
}
predictSeasonalYield(baseYield: number, weatherFactor: number): string {
let result = `季节性产蜜预测:\n`;
let totalYield = 0.0;
for (const [season, coefficient] of Object.entries(this.seasonalCoefficients)) {
const seasonalYield = baseYield * coefficient * weatherFactor * 0.95;
result += `${season}: ${seasonalYield.toFixed(1)} kg\n`;
totalYield += seasonalYield;
}
result += `\n年总产蜜量: ${totalYield.toFixed(1)} kg\n`;
result += `平均月产蜜量: ${(totalYield / 12).toFixed(1)} kg`;
return result;
}
assessHoneyBenefit(predictedYield: number, honeyPrice: number = 50.0): string {
const revenue = predictedYield * honeyPrice;
const totalCost = 2000.0 + 500.0 + 3000.0;
const netProfit = revenue - totalCost;
const roi = (netProfit / totalCost) * 100;
let result = `产蜜效益评估:\n`;
result += `预测产蜜量: ${predictedYield.toFixed(1)} kg\n`;
result += `蜂蜜价格: ${honeyPrice.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(beeType: string, colonyCount: number, nectarSource: string,
temperature: number, rainfall: number, windSpeed: number, sunlight: number): string {
const baseYield = this.predictBaseHoneyYield(beeType, colonyCount, nectarSource);
let result = `=== 蜜蜂产蜜量完整预测报告 ===\n\n`;
result += `蜂群类型: ${beeType}\n`;
result += `蜂群数量: ${colonyCount}群\n`;
result += `蜜源植物: ${nectarSource}\n`;
result += `基础产蜜量: ${baseYield.toFixed(1)} kg\n\n`;
result += this.analyzeWeatherImpact(temperature, rainfall, windSpeed, sunlight) + '\n\n';
const weatherFactor = 0.9;
result += this.predictSeasonalYield(baseYield, weatherFactor) + '\n\n';
const totalYield = baseYield * weatherFactor * 0.95;
result += this.assessHoneyBenefit(totalYield);
return result;
}
async executeCalculation() {
this.isLoading = true;
try {
const count = parseInt(this.colonyCount);
const temp = parseFloat(this.temperature);
const rain = parseFloat(this.rainfall);
const wind = parseFloat(this.windSpeed);
const sun = parseFloat(this.sunlight);
if (isNaN(count) || isNaN(temp) || count <= 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.predictBaseHoneyYield(this.beeType, count, this.nectarSource);
result = `基础产蜜量预测: ${baseYield.toFixed(1)} kg`;
break;
case '气象分析':
result = this.analyzeWeatherImpact(temp, rain, wind, sun);
break;
case '季节预测':
const baseYield2 = this.predictBaseHoneyYield(this.beeType, count, this.nectarSource);
result = this.predictSeasonalYield(baseYield2, 0.9);
break;
case '完整预测':
result = this.generateCompleteReport(this.beeType, count, this.nectarSource, temp, rain, wind, sun);
break;
}
this.result = result;
this.allResults = this.generateCompleteReport(this.beeType, count, this.nectarSource, temp, rain, wind, sun);
} catch (error) {
this.result = '执行错误:' + error;
}
this.isLoading = false;
}
build() {
Column() {
Row() {
Text('蜜蜂养殖产蜜量预测器')
.fontSize(24)
.fontWeight(FontWeight.Bold)
.fontColor(Color.White)
}
.width('100%')
.height(60)
.backgroundColor('#1565C0')
.justifyContent(FlexAlign.Center)
Scroll() {
Column({ space: 12 }) {
Column() {
Text('蜂群类型:')
.fontSize(12)
.fontWeight(FontWeight.Bold)
Select([
{ value: '意大利蜜蜂' },
{ value: '中蜂' },
{ value: '卡尼鄂拉蜂' },
{ value: '高加索蜂' }
])
.value(this.beeType)
.onSelect((index: number, value: string) => {
this.beeType = value;
})
.width('100%')
}
.width('100%')
.padding(10)
.backgroundColor('#E3F2FD')
.borderRadius(8)
Column() {
Text('蜂群数量:')
.fontSize(12)
.fontWeight(FontWeight.Bold)
TextInput({ placeholder: '请输入蜂群数量' })
.value(this.colonyCount)
.onChange((value: string) => { this.colonyCount = value; })
.width('100%')
.height(50)
.padding(8)
}
.width('100%')
.padding(10)
.backgroundColor('#E3F2FD')
.borderRadius(8)
Column() {
Text('蜜源植物:')
.fontSize(12)
.fontWeight(FontWeight.Bold)
Select([
{ value: '油菜花' },
{ value: '向日葵' },
{ value: '槐花' },
{ value: '荞麦' },
{ value: '紫云英' },
{ value: '枣花' }
])
.value(this.nectarSource)
.onSelect((index: number, value: string) => {
this.nectarSource = value;
})
.width('100%')
}
.width('100%')
.padding(10)
.backgroundColor('#E3F2FD')
.borderRadius(8)
Column() {
Text('温度 (°C):')
.fontSize(12)
.fontWeight(FontWeight.Bold)
TextInput({ placeholder: '请输入温度' })
.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('降雨量 (mm):')
.fontSize(12)
.fontWeight(FontWeight.Bold)
TextInput({ placeholder: '请输入降雨量' })
.value(this.rainfall)
.onChange((value: string) => { this.rainfall = value; })
.width('100%')
.height(50)
.padding(8)
}
.width('100%')
.padding(10)
.backgroundColor('#E3F2FD')
.borderRadius(8)
Column() {
Text('风速 (m/s):')
.fontSize(12)
.fontWeight(FontWeight.Bold)
TextInput({ placeholder: '请输入风速' })
.value(this.windSpeed)
.onChange((value: string) => { this.windSpeed = value; })
.width('100%')
.height(50)
.padding(8)
}
.width('100%')
.padding(10)
.backgroundColor('#E3F2FD')
.borderRadius(8)
Column() {
Text('日照时数 (h):')
.fontSize(12)
.fontWeight(FontWeight.Bold)
TextInput({ placeholder: '请输入日照时数' })
.value(this.sunlight)
.onChange((value: string) => { this.sunlight = 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: '气象分析' },
{ value: '季节预测' },
{ 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('预测产蜜量')
.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。这个实现包含了蜂群类型、蜂群数量、蜜源植物、气象参数等输入框,工具选择和结果显示功能。用户可以输入蜂群和气象数据,选择不同的预测工具,查看产蜜量预测结果。
应用场景分析
1. 生产计划制定
在生产计划中,需要根据预测的产蜜量制定采蜜计划。养蜂户使用产蜜量预测器来规划采蜜时间。
2. 资源管理和分配
在资源管理中,需要根据预期产量分配饲料和药物。养蜂户使用预测器来优化资源配置。
3. 市场预测和销售
在市场预测中,需要预测产蜜量来制定销售策略。养蜂户使用预测器来规划销售计划。
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。养蜂户使用预测器来评估投资回报。
5. 蜂群管理和调整
在蜂群管理中,需要根据产蜜潜力进行蜂群调整。养蜂户使用预测器来优化蜂群结构。
性能优化建议
1. 缓存蜂群数据
对于常用的蜂群类型,可以缓存基础产蜜量数据。
2. 实时气象数据接入
与气象服务集成获取实时气象数据。
3. 历史数据分析
根据历史产蜜数据优化预测模型。
4. 机器学习优化
使用机器学习模型提高预测准确度。
总结
蜜蜂养殖产蜜量预测器是现代养蜂业中的重要工具。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、气象分析、健康评估、季节预测和效益评估等多种功能,可以满足大多数养蜂应用的需求。
在OpenHarmony鸿蒙平台上,我们可以通过ArkTS调用这些工具,为养蜂户提供完整的产蜜量预测体验。掌握这套工具,不仅能够帮助养蜂户科学管理蜂群,更重要的是能够在实际项目中灵活应用,解决生产计划、成本控制等实际问题。
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