KMP OpenHarmony 机械设备维护周期计算器
机械设备维护周期计算器基于KMP框架开发,可跨平台运行于OpenHarmony鸿蒙系统。该工具提供五大核心功能:1)根据设备类型、使用强度和工作环境计算最优维护周期;2)规划具体维护任务清单;3)分析维护成本;4)预测设备故障风险;5)评估维护效果。采用Kotlin实现,内置多种设备类型的基准维护周期和故障率数据,通过算法综合考虑使用强度系数和环境系数,输出科学维护方案。适用于工业制造、设备管理等

文章概述
机械设备的维护是工业生产中的关键环节,科学合理的维护周期直接影响设备的可靠性、使用寿命和生产效率。机械设备维护周期计算器通过综合考虑设备类型、使用强度、工作环境、历史故障率等多个因素,计算出最优的维护周期和维护方案,帮助企业和工程师科学制定维护计划,降低维护成本,提高设备可用性。
机械设备维护周期计算器在实际应用中有广泛的用途。在工业制造中,需要根据设备特性制定维护计划以保证生产连续性。在设备管理中,需要优化维护资源分配以降低成本。在故障预防中,需要根据设备状态预测故障并提前维护。在成本控制中,需要在保证可靠性的前提下最小化维护成本。在安全管理中,需要通过定期维护确保设备安全运行。
本文将深入探讨如何在KMP(Kotlin Multiplatform)框架下实现一套完整的机械设备维护周期计算器,并展示如何在OpenHarmony鸿蒙平台上进行跨端调用。我们将提供多种维护计算功能,包括维护周期计算、维护成本分析、故障预测等,帮助工程师科学管理设备维护。
工具功能详解
核心功能
功能1:维护周期计算(Maintenance Interval Calculation)
根据设备类型、使用强度、工作环境计算最优的维护周期。这是制定维护计划的基础。
功能特点:
- 支持多种设备类型
- 考虑使用强度影响
- 基于工作环境调整
- 返回详细的维护周期
功能2:维护任务规划(Maintenance Task Planning)
根据维护周期和设备特性规划具体的维护任务。
功能特点:
- 生成维护任务清单
- 指定维护人员和工具
- 估算维护时间
- 提供维护步骤
功能3:维护成本分析(Maintenance Cost Analysis)
计算不同维护方案的成本,帮助选择最经济的方案。
功能特点:
- 计算人工成本
- 计算零件成本
- 计算停机成本
- 返回成本明细
功能4:故障预测和风险评估(Failure Prediction and Risk Assessment)
根据设备历史数据预测故障风险。
功能特点:
- 分析故障历史
- 评估故障风险
- 预测故障时间
- 提供预防建议
功能5:维护效果评估(Maintenance Effectiveness Assessment)
评估维护方案的效果和ROI。
功能特点:
- 计算设备可用性
- 分析维护效率
- 评估成本效益
- 提供改进建议
Kotlin实现
完整的Kotlin代码实现
/**
* 机械设备维护周期计算器 - KMP OpenHarmony
* 提供设备维护计算的多种功能
*/
object MaintenanceScheduleUtils {
// 设备维护周期基准(小时)
private val baseMaintenanceIntervals = mapOf(
"电动机" to 500.0,
"泵" to 400.0,
"压缩机" to 300.0,
"风机" to 600.0,
"传送带" to 400.0,
"齿轮箱" to 350.0,
"液压系统" to 250.0,
"轴承" to 300.0
)
// 设备故障率数据(故障/小时)
private val failureRates = mapOf(
"电动机" to 0.0001,
"泵" to 0.00015,
"压缩机" to 0.0002,
"风机" to 0.00008,
"传送带" to 0.00012,
"齿轮箱" to 0.00018,
"液压系统" to 0.00025,
"轴承" to 0.00014
)
/**
* 功能1:维护周期计算
*/
fun calculateMaintenanceInterval(
equipmentType: String,
usageIntensity: Double,
workEnvironment: String
): Double {
val baseInterval = baseMaintenanceIntervals[equipmentType] ?: 400.0
// 使用强度系数(0.5-2.0)
val intensityFactor = when {
usageIntensity < 0.5 -> 1.5
usageIntensity < 1.0 -> 1.2
usageIntensity < 1.5 -> 1.0
else -> 0.8
}
// 工作环境系数
val environmentFactor = when (workEnvironment) {
"恶劣" to 0.6,
"一般" to 0.8,
"良好" to 1.0,
"极好" to 1.2
}.let { it[workEnvironment] ?: 1.0 }
return baseInterval * intensityFactor * environmentFactor
}
/**
* 功能2:维护任务规划
*/
fun planMaintenanceTasks(
equipmentType: String,
maintenanceType: String = "定期"
): Map<String, Any> {
val tasks = mutableMapOf<String, Any>()
val taskList = when (equipmentType) {
"电动机" -> listOf(
"检查绝缘电阻",
"清洁散热片",
"检查轴承温度",
"润滑轴承",
"检查接线柱"
),
"泵" -> listOf(
"检查泵体密封",
"检查流量和压力",
"润滑轴承",
"检查叶轮磨损",
"更换密封垫"
),
"压缩机" -> listOf(
"检查进气过滤器",
"检查油位",
"检查冷却效果",
"清洁散热器",
"检查安全阀"
),
else -> listOf(
"外观检查",
"性能测试",
"润滑维护",
"清洁维护",
"紧固件检查"
)
}
tasks["设备类型"] = equipmentType
tasks["维护类型"] = maintenanceType
tasks["任务清单"] = taskList
tasks["预计时间"] = "${taskList.size * 30}分钟"
tasks["所需工具"] = listOf("扳手", "螺丝刀", "润滑油", "清洁布", "万用表")
return tasks
}
/**
* 功能3:维护成本分析
*/
fun analyzeMaintenceCost(
equipmentType: String,
maintenanceInterval: Double,
laborCostPerHour: Double = 100.0,
partsCost: Double = 500.0,
downtime: Double = 2.0
): Map<String, Any> {
val analysis = mutableMapOf<String, Any>()
// 人工成本
val laborCost = maintenanceInterval * laborCostPerHour / 60.0
// 停机成本(假设每小时损失1000元)
val downtimeCost = downtime * 1000.0
// 总成本
val totalCost = laborCost + partsCost + downtimeCost
// 年度成本(假设年工作8000小时)
val annualMaintenance = (8000.0 / maintenanceInterval).toInt()
val annualCost = totalCost * annualMaintenance
analysis["设备类型"] = equipmentType
analysis["维护周期"] = "${maintenanceInterval.toInt()}小时"
analysis["人工成本"] = String.format("%.2f元", laborCost)
analysis["零件成本"] = String.format("%.2f元", partsCost)
analysis["停机成本"] = String.format("%.2f元", downtimeCost)
analysis["单次维护成本"] = String.format("%.2f元", totalCost)
analysis["年度维护次数"] = annualMaintenance
analysis["年度维护成本"] = String.format("%.2f元", annualCost)
return analysis
}
/**
* 功能4:故障预测和风险评估
*/
fun assessFailureRisk(
equipmentType: String,
operatingHours: Double,
lastMaintenanceHours: Double
): Map<String, Any> {
val assessment = mutableMapOf<String, Any>()
val failureRate = failureRates[equipmentType] ?: 0.0001
val hoursSinceLastMaintenance = operatingHours - lastMaintenanceHours
// 故障概率
val failureProbability = 1.0 - Math.exp(-failureRate * hoursSinceLastMaintenance)
// 风险等级
val riskLevel = when {
failureProbability < 0.1 -> "低"
failureProbability < 0.3 -> "中"
failureProbability < 0.6 -> "高"
else -> "极高"
}
// 预计故障时间
val expectedFailureTime = lastMaintenanceHours + (1.0 / failureRate) * Math.log(1.0 / (1.0 - failureProbability.coerceIn(0.0, 0.99)))
assessment["设备类型"] = equipmentType
assessment["运行小时数"] = operatingHours.toInt()
assessment["上次维护后"] = String.format("%.1f小时", hoursSinceLastMaintenance)
assessment["故障概率"] = String.format("%.2f%%", failureProbability * 100)
assessment["风险等级"] = riskLevel
assessment["预计故障时间"] = String.format("%.1f小时", expectedFailureTime)
assessment["建议"] = when (riskLevel) {
"低" -> "继续正常运行,按计划维护"
"中" -> "加强监测,准备维护"
"高" -> "立即安排维护"
else -> "立即停机维护,防止故障"
}
return assessment
}
/**
* 功能5:维护效果评估
*/
fun assessMaintenanceEffectiveness(
equipmentType: String,
totalOperatingHours: Double,
failureCount: Int,
maintenanceCount: Int,
maintenanceCost: Double,
productionLoss: Double
): Map<String, Any> {
val assessment = mutableMapOf<String, Any>()
// 设备可用性
val availability = (totalOperatingHours - (failureCount * 2.0)) / totalOperatingHours
// 维护效率
val maintenanceEfficiency = (maintenanceCount.toDouble() - failureCount) / maintenanceCount
// 成本效益
val costBenefit = productionLoss / maintenanceCost
// MTBF(平均故障间隔时间)
val mtbf = if (failureCount > 0) totalOperatingHours / failureCount else totalOperatingHours
assessment["设备类型"] = equipmentType
assessment["总运行小时数"] = totalOperatingHours.toInt()
assessment["故障次数"] = failureCount
assessment["维护次数"] = maintenanceCount
assessment["设备可用性"] = String.format("%.2f%%", availability * 100)
assessment["维护效率"] = String.format("%.2f%%", maintenanceEfficiency * 100)
assessment["MTBF"] = String.format("%.1f小时", mtbf)
assessment["维护成本"] = String.format("%.2f元", maintenanceCost)
assessment["生产损失"] = String.format("%.2f元", productionLoss)
assessment["成本效益比"] = String.format("%.2f", costBenefit)
return assessment
}
/**
* 生成完整的维护方案
*/
fun generateCompletePlan(
equipmentType: String,
usageIntensity: Double,
workEnvironment: String,
operatingHours: Double
): Map<String, Any> {
val plan = mutableMapOf<String, Any>()
val interval = calculateMaintenanceInterval(equipmentType, usageIntensity, workEnvironment)
plan["维护周期"] = String.format("%.0f小时", interval)
val tasks = planMaintenanceTasks(equipmentType)
plan["维护任务"] = tasks
val cost = analyzeMaintenceCost(equipmentType, interval)
plan["成本分析"] = cost
val risk = assessFailureRisk(equipmentType, operatingHours, operatingHours - interval)
plan["风险评估"] = risk
return plan
}
}
// 使用示例
fun main() {
println("KMP OpenHarmony 机械设备维护周期计算器演示\n")
// 电动机维护方案
println("=== 电动机维护方案 ===")
val motorInterval = MaintenanceScheduleUtils.calculateMaintenanceInterval("电动机", 1.0, "一般")
println("维护周期: ${motorInterval.toInt()}小时\n")
val motorTasks = MaintenanceScheduleUtils.planMaintenanceTasks("电动机")
println("维护任务:")
motorTasks.forEach { (k, v) -> println(" $k: $v") }
println()
// 成本分析
println("=== 维护成本分析 ===")
val motorCost = MaintenanceScheduleUtils.analyzeMaintenceCost("电动机", motorInterval)
motorCost.forEach { (k, v) -> println(" $k: $v") }
println()
// 故障风险评估
println("=== 故障风险评估 ===")
val motorRisk = MaintenanceScheduleUtils.assessFailureRisk("电动机", 5000.0, 4500.0)
motorRisk.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。维护周期计算基于设备基准周期,考虑使用强度和工作环境的影响。维护任务规划根据设备类型生成具体的维护任务清单。维护成本分析计算人工、零件和停机成本。故障预测使用故障率数据评估风险。维护效果评估分析维护方案的效果和ROI。
JavaScript实现
完整的JavaScript代码实现
/**
* 机械设备维护周期计算器 - JavaScript版本
*/
class MaintenanceScheduleJS {
static baseMaintenanceIntervals = {
'电动机': 500.0,
'泵': 400.0,
'压缩机': 300.0,
'风机': 600.0,
'传送带': 400.0,
'齿轮箱': 350.0,
'液压系统': 250.0,
'轴承': 300.0
};
static failureRates = {
'电动机': 0.0001,
'泵': 0.00015,
'压缩机': 0.0002,
'风机': 0.00008,
'传送带': 0.00012,
'齿轮箱': 0.00018,
'液压系统': 0.00025,
'轴承': 0.00014
};
/**
* 功能1:维护周期计算
*/
static calculateMaintenanceInterval(equipmentType, usageIntensity, workEnvironment) {
const baseInterval = this.baseMaintenanceIntervals[equipmentType] || 400.0;
let intensityFactor;
if (usageIntensity < 0.5) intensityFactor = 1.5;
else if (usageIntensity < 1.0) intensityFactor = 1.2;
else if (usageIntensity < 1.5) intensityFactor = 1.0;
else intensityFactor = 0.8;
const environmentFactors = {
'恶劣': 0.6,
'一般': 0.8,
'良好': 1.0,
'极好': 1.2
};
const environmentFactor = environmentFactors[workEnvironment] || 1.0;
return baseInterval * intensityFactor * environmentFactor;
}
/**
* 功能2:维护任务规划
*/
static planMaintenanceTasks(equipmentType, maintenanceType = '定期') {
const tasks = {};
const taskLists = {
'电动机': [
'检查绝缘电阻',
'清洁散热片',
'检查轴承温度',
'润滑轴承',
'检查接线柱'
],
'泵': [
'检查泵体密封',
'检查流量和压力',
'润滑轴承',
'检查叶轮磨损',
'更换密封垫'
],
'压缩机': [
'检查进气过滤器',
'检查油位',
'检查冷却效果',
'清洁散热器',
'检查安全阀'
]
};
const taskList = taskLists[equipmentType] || [
'外观检查',
'性能测试',
'润滑维护',
'清洁维护',
'紧固件检查'
];
tasks['设备类型'] = equipmentType;
tasks['维护类型'] = maintenanceType;
tasks['任务清单'] = taskList;
tasks['预计时间'] = (taskList.length * 30) + '分钟';
tasks['所需工具'] = ['扳手', '螺丝刀', '润滑油', '清洁布', '万用表'];
return tasks;
}
/**
* 功能3:维护成本分析
*/
static analyzeMaintenceCost(equipmentType, maintenanceInterval, laborCostPerHour = 100.0, partsCost = 500.0, downtime = 2.0) {
const analysis = {};
const laborCost = maintenanceInterval * laborCostPerHour / 60.0;
const downtimeCost = downtime * 1000.0;
const totalCost = laborCost + partsCost + downtimeCost;
const annualMaintenance = Math.floor(8000.0 / maintenanceInterval);
const annualCost = totalCost * annualMaintenance;
analysis['设备类型'] = equipmentType;
analysis['维护周期'] = Math.floor(maintenanceInterval) + '小时';
analysis['人工成本'] = laborCost.toFixed(2) + '元';
analysis['零件成本'] = partsCost.toFixed(2) + '元';
analysis['停机成本'] = downtimeCost.toFixed(2) + '元';
analysis['单次维护成本'] = totalCost.toFixed(2) + '元';
analysis['年度维护次数'] = annualMaintenance;
analysis['年度维护成本'] = annualCost.toFixed(2) + '元';
return analysis;
}
/**
* 功能4:故障预测和风险评估
*/
static assessFailureRisk(equipmentType, operatingHours, lastMaintenanceHours) {
const assessment = {};
const failureRate = this.failureRates[equipmentType] || 0.0001;
const hoursSinceLastMaintenance = operatingHours - lastMaintenanceHours;
const failureProbability = 1.0 - Math.exp(-failureRate * hoursSinceLastMaintenance);
let riskLevel;
if (failureProbability < 0.1) riskLevel = '低';
else if (failureProbability < 0.3) riskLevel = '中';
else if (failureProbability < 0.6) riskLevel = '高';
else riskLevel = '极高';
const expectedFailureTime = lastMaintenanceHours + (1.0 / failureRate) * Math.log(1.0 / (1.0 - Math.min(failureProbability, 0.99)));
assessment['设备类型'] = equipmentType;
assessment['运行小时数'] = Math.floor(operatingHours);
assessment['上次维护后'] = hoursSinceLastMaintenance.toFixed(1) + '小时';
assessment['故障概率'] = (failureProbability * 100).toFixed(2) + '%';
assessment['风险等级'] = riskLevel;
assessment['预计故障时间'] = expectedFailureTime.toFixed(1) + '小时';
assessment['建议'] = riskLevel === '低' ? '继续正常运行,按计划维护' :
riskLevel === '中' ? '加强监测,准备维护' :
riskLevel === '高' ? '立即安排维护' : '立即停机维护,防止故障';
return assessment;
}
/**
* 功能5:维护效果评估
*/
static assessMaintenanceEffectiveness(equipmentType, totalOperatingHours, failureCount, maintenanceCount, maintenanceCost, productionLoss) {
const assessment = {};
const availability = (totalOperatingHours - (failureCount * 2.0)) / totalOperatingHours;
const maintenanceEfficiency = (maintenanceCount - failureCount) / maintenanceCount;
const costBenefit = productionLoss / maintenanceCost;
const mtbf = failureCount > 0 ? totalOperatingHours / failureCount : totalOperatingHours;
assessment['设备类型'] = equipmentType;
assessment['总运行小时数'] = Math.floor(totalOperatingHours);
assessment['故障次数'] = failureCount;
assessment['维护次数'] = maintenanceCount;
assessment['设备可用性'] = (availability * 100).toFixed(2) + '%';
assessment['维护效率'] = (maintenanceEfficiency * 100).toFixed(2) + '%';
assessment['MTBF'] = mtbf.toFixed(1) + '小时';
assessment['维护成本'] = maintenanceCost.toFixed(2) + '元';
assessment['生产损失'] = productionLoss.toFixed(2) + '元';
assessment['成本效益比'] = costBenefit.toFixed(2);
return assessment;
}
/**
* 生成完整的维护方案
*/
static generateCompletePlan(equipmentType, usageIntensity, workEnvironment, operatingHours) {
const plan = {};
const interval = this.calculateMaintenanceInterval(equipmentType, usageIntensity, workEnvironment);
plan['维护周期'] = Math.floor(interval) + '小时';
const tasks = this.planMaintenanceTasks(equipmentType);
plan['维护任务'] = tasks;
const cost = this.analyzeMaintenceCost(equipmentType, interval);
plan['成本分析'] = cost;
const risk = this.assessFailureRisk(equipmentType, operatingHours, operatingHours - interval);
plan['风险评估'] = risk;
return plan;
}
}
// 导出供Node.js使用
if (typeof module !== 'undefined' && module.exports) {
module.exports = MaintenanceScheduleJS;
}
JavaScript实现的详细说明
JavaScript版本充分利用了JavaScript的计算和对象功能。维护周期计算使用基准周期和调整系数。维护任务规划根据设备类型生成任务清单。维护成本分析计算各项成本。故障预测使用指数分布模型。维护效果评估分析关键指标。
ArkTS调用实现
完整的ArkTS代码实现
/**
* 机械设备维护周期计算器 - ArkTS版本(OpenHarmony鸿蒙)
*/
import { webview } from '@kit.ArkWeb';
import { common } from '@kit.AbilityKit';
@Entry
@Component
struct MaintenanceSchedulePage {
@State equipmentType: string = '电动机';
@State usageIntensity: string = '1.0';
@State workEnvironment: string = '一般';
@State operatingHours: string = '5000';
@State result: string = '';
@State selectedTool: string = '完整方案';
@State isLoading: boolean = false;
@State allResults: string = '';
private baseMaintenanceIntervals: Record<string, number> = {
'电动机': 500.0,
'泵': 400.0,
'压缩机': 300.0,
'风机': 600.0,
'传送带': 400.0,
'齿轮箱': 350.0
};
private failureRates: Record<string, number> = {
'电动机': 0.0001,
'泵': 0.00015,
'压缩机': 0.0002,
'风机': 0.00008,
'传送带': 0.00012,
'齿轮箱': 0.00018
};
webviewController: webview.WebviewController = new webview.WebviewController();
calculateMaintenanceInterval(equipmentType: string, usageIntensity: number, workEnvironment: string): number {
const baseInterval = this.baseMaintenanceIntervals[equipmentType] || 400.0;
let intensityFactor;
if (usageIntensity < 0.5) intensityFactor = 1.5;
else if (usageIntensity < 1.0) intensityFactor = 1.2;
else if (usageIntensity < 1.5) intensityFactor = 1.0;
else intensityFactor = 0.8;
const environmentFactors: Record<string, number> = {
'恶劣': 0.6,
'一般': 0.8,
'良好': 1.0,
'极好': 1.2
};
const environmentFactor = environmentFactors[workEnvironment] || 1.0;
return baseInterval * intensityFactor * environmentFactor;
}
planMaintenanceTasks(equipmentType: string): string {
const taskLists: Record<string, string[]> = {
'电动机': [
'检查绝缘电阻',
'清洁散热片',
'检查轴承温度',
'润滑轴承',
'检查接线柱'
],
'泵': [
'检查泵体密封',
'检查流量和压力',
'润滑轴承',
'检查叶轮磨损',
'更换密封垫'
]
};
const taskList = taskLists[equipmentType] || [
'外观检查',
'性能测试',
'润滑维护',
'清洁维护',
'紧固件检查'
];
let result = `维护任务清单:\n`;
taskList.forEach((task, index) => {
result += `${index + 1}. ${task}\n`;
});
result += `\n预计时间: ${taskList.length * 30}分钟\n`;
result += `所需工具: 扳手、螺丝刀、润滑油、清洁布、万用表`;
return result;
}
analyzeMaintenceCost(equipmentType: string, maintenanceInterval: number): string {
const laborCostPerHour = 100.0;
const partsCost = 500.0;
const downtime = 2.0;
const laborCost = maintenanceInterval * laborCostPerHour / 60.0;
const downtimeCost = downtime * 1000.0;
const totalCost = laborCost + partsCost + downtimeCost;
const annualMaintenance = Math.floor(8000.0 / maintenanceInterval);
const annualCost = totalCost * annualMaintenance;
let result = `维护成本分析:\n`;
result += `维护周期: ${Math.floor(maintenanceInterval)}小时\n`;
result += `人工成本: ${laborCost.toFixed(2)}元\n`;
result += `零件成本: ${partsCost.toFixed(2)}元\n`;
result += `停机成本: ${downtimeCost.toFixed(2)}元\n`;
result += `单次维护成本: ${totalCost.toFixed(2)}元\n`;
result += `年度维护次数: ${annualMaintenance}次\n`;
result += `年度维护成本: ${annualCost.toFixed(2)}元`;
return result;
}
assessFailureRisk(equipmentType: string, operatingHours: number, lastMaintenanceHours: number): string {
const failureRate = this.failureRates[equipmentType] || 0.0001;
const hoursSinceLastMaintenance = operatingHours - lastMaintenanceHours;
const failureProbability = 1.0 - Math.exp(-failureRate * hoursSinceLastMaintenance);
let riskLevel;
if (failureProbability < 0.1) riskLevel = '低';
else if (failureProbability < 0.3) riskLevel = '中';
else if (failureProbability < 0.6) riskLevel = '高';
else riskLevel = '极高';
let result = `故障风险评估:\n`;
result += `运行小时数: ${Math.floor(operatingHours)}\n`;
result += `上次维护后: ${hoursSinceLastMaintenance.toFixed(1)}小时\n`;
result += `故障概率: ${(failureProbability * 100).toFixed(2)}%\n`;
result += `风险等级: ${riskLevel}\n`;
result += `建议: `;
if (riskLevel === '低') result += '继续正常运行,按计划维护';
else if (riskLevel === '中') result += '加强监测,准备维护';
else if (riskLevel === '高') result += '立即安排维护';
else result += '立即停机维护,防止故障';
return result;
}
generateCompletePlan(equipmentType: string, usageIntensity: number, workEnvironment: string, operatingHours: number): string {
const interval = this.calculateMaintenanceInterval(equipmentType, usageIntensity, workEnvironment);
let result = `=== ${equipmentType}维护完整方案 ===\n\n`;
result += `维护周期: ${Math.floor(interval)}小时\n\n`;
result += this.planMaintenanceTasks(equipmentType) + '\n\n';
result += this.analyzeMaintenceCost(equipmentType, interval) + '\n\n';
result += this.assessFailureRisk(equipmentType, operatingHours, operatingHours - interval);
return result;
}
async executeCalculation() {
this.isLoading = true;
try {
const intensity = parseFloat(this.usageIntensity);
const hours = parseFloat(this.operatingHours);
if (isNaN(intensity) || isNaN(hours) || intensity <= 0 || hours <= 0) {
this.result = '请输入有效的数值';
this.isLoading = false;
return;
}
let result = '';
switch (this.selectedTool) {
case '维护周期':
const interval = this.calculateMaintenanceInterval(this.equipmentType, intensity, this.workEnvironment);
result = `维护周期: ${Math.floor(interval)}小时`;
break;
case '维护任务':
result = this.planMaintenanceTasks(this.equipmentType);
break;
case '成本分析':
const interval2 = this.calculateMaintenanceInterval(this.equipmentType, intensity, this.workEnvironment);
result = this.analyzeMaintenceCost(this.equipmentType, interval2);
break;
case '完整方案':
result = this.generateCompletePlan(this.equipmentType, intensity, this.workEnvironment, hours);
break;
}
this.result = result;
this.allResults = `完整维护方案:\n${this.generateCompletePlan(this.equipmentType, intensity, this.workEnvironment, hours)}`;
} catch (error) {
this.result = '执行错误:' + error;
}
this.isLoading = false;
}
build() {
Column() {
Row() {
Text('机械设备维护周期计算器')
.fontSize(24)
.fontWeight(FontWeight.Bold)
.fontColor(Color.White)
}
.width('100%')
.height(60)
.backgroundColor('#1565C0')
.justifyContent(FlexAlign.Center)
Scroll() {
Column({ space: 16 }) {
Column() {
Text('设备类型:')
.fontSize(14)
.fontWeight(FontWeight.Bold)
.width('100%')
Select([
{ value: '电动机' },
{ value: '泵' },
{ value: '压缩机' },
{ value: '风机' },
{ value: '传送带' },
{ value: '齿轮箱' }
])
.value(this.equipmentType)
.onSelect((index: number, value: string) => {
this.equipmentType = value;
})
.width('100%')
}
.width('100%')
.padding(12)
.backgroundColor('#E3F2FD')
.borderRadius(8)
Column() {
Text('使用强度 (0.5-2.0):')
.fontSize(14)
.fontWeight(FontWeight.Bold)
.width('100%')
TextInput({ placeholder: '请输入使用强度' })
.value(this.usageIntensity)
.onChange((value: string) => {
this.usageIntensity = value;
})
.width('100%')
.height(60)
.padding(8)
.backgroundColor(Color.White)
.borderRadius(4)
}
.width('100%')
.padding(12)
.backgroundColor('#E3F2FD')
.borderRadius(8)
Column() {
Text('工作环境:')
.fontSize(14)
.fontWeight(FontWeight.Bold)
.width('100%')
Select([
{ value: '恶劣' },
{ value: '一般' },
{ value: '良好' },
{ value: '极好' }
])
.value(this.workEnvironment)
.onSelect((index: number, value: string) => {
this.workEnvironment = value;
})
.width('100%')
}
.width('100%')
.padding(12)
.backgroundColor('#E3F2FD')
.borderRadius(8)
Column() {
Text('运行小时数:')
.fontSize(14)
.fontWeight(FontWeight.Bold)
.width('100%')
TextInput({ placeholder: '请输入运行小时数' })
.value(this.operatingHours)
.onChange((value: string) => {
this.operatingHours = value;
})
.width('100%')
.height(60)
.padding(8)
.backgroundColor(Color.White)
.borderRadius(4)
}
.width('100%')
.padding(12)
.backgroundColor('#E3F2FD')
.borderRadius(8)
Column() {
Text('选择工具:')
.fontSize(14)
.fontWeight(FontWeight.Bold)
.width('100%')
Select([
{ value: '维护周期' },
{ value: '维护任务' },
{ value: '成本分析' },
{ value: '完整方案' }
])
.value(this.selectedTool)
.onSelect((index: number, value: string) => {
this.selectedTool = value;
})
.width('100%')
}
.width('100%')
.padding(12)
.backgroundColor('#E3F2FD')
.borderRadius(8)
if (this.result) {
Column() {
Text('结果:')
.fontSize(14)
.fontWeight(FontWeight.Bold)
.width('100%')
Text(this.result)
.fontSize(12)
.width('100%')
.padding(8)
.backgroundColor('#F5F5F5')
.borderRadius(4)
}
.width('100%')
.padding(12)
.backgroundColor('#F5F5F5')
.borderRadius(8)
}
if (this.allResults) {
Column() {
Text('完整方案:')
.fontSize(14)
.fontWeight(FontWeight.Bold)
.width('100%')
Text(this.allResults)
.fontSize(12)
.width('100%')
.padding(8)
.backgroundColor('#E8F5E9')
.borderRadius(4)
}
.width('100%')
.padding(12)
.backgroundColor('#E8F5E9')
.borderRadius(8)
}
Button('计算维护方案')
.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。这个实现包含了设备类型、使用强度、工作环境、运行小时数等输入框,工具选择和结果显示功能。用户可以输入设备参数,选择不同的计算工具,查看维护方案计算结果。
应用场景分析
1. 工业制造和生产
在工业制造中,需要根据设备特性制定维护计划以保证生产连续性。制造企业使用维护周期计算器来优化设备管理。
2. 设备管理和维护
在设备管理中,需要优化维护资源分配以降低成本。维护部门使用维护周期计算器来制定维护计划。
3. 故障预防和风险管理
在故障预防中,需要根据设备状态预测故障并提前维护。工程师使用维护周期计算器来进行风险评估。
4. 成本控制和效益分析
在成本控制中,需要在保证可靠性的前提下最小化维护成本。管理人员使用维护周期计算器来分析成本效益。
5. 安全管理和合规
在安全管理中,需要通过定期维护确保设备安全运行。安全部门使用维护周期计算器来制定安全维护计划。
性能优化建议
1. 缓存设备数据
对于常用的设备类型,可以缓存维护参数以提高性能。
2. 优化计算算法
使用更高级的故障预测模型可以获得更准确的预测。
3. 批量计算
对于多个设备的维护方案,可以批量计算以提高效率。
4. 数据库存储
将设备和维护历史数据存储在数据库中,便于分析和改进。
总结
机械设备维护周期计算器是工业设备管理中的重要工具。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。这个工具提供了维护周期计算、维护任务规划、成本分析、故障预测和效果评估等多种功能,可以满足大多数工业应用的需求。
在OpenHarmony鸿蒙平台上,我们可以通过ArkTS调用这些工具,为工程师和管理人员提供完整的维护管理体验。掌握这套工具,不仅能够帮助企业科学管理设备维护,更重要的是能够在实际项目中灵活应用,解决成本控制、故障预防等实际问题。
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