Java AI机器人模拟智能粉刷

基于Java的AI机器人模拟粉刷墙壁

以下是基于Java的AI机器人模拟粉刷墙壁的实例代码片段，涵盖不同应用场景和技术实现方式：

基础颜色选择算法

public class BasicColorSelector {
    private String[] colors = {"红色", "蓝色", "绿色", "黄色"};

    public String selectColor() {
        Random rand = new Random();
        return colors[rand.nextInt(colors.length)];
    }
}

墙面面积计算

public class WallAreaCalculator {
    public double calculateArea(double width, double height) {
        return width * height;
    }
}

油漆消耗估算

public class PaintConsumptionEstimator {
    private static final double COVERAGE_PER_LITER = 10.0; // 每升油漆覆盖面积

    public double estimatePaint(double area) {
        return area / COVERAGE_PER_LITER;
    }
}

路径规划算法

public class PaintingPathPlanner {
    public List<Point> generatePath(Rectangle wall) {
        List<Point> path = new ArrayList<>();
        for (int y = 0; y < wall.height; y++) {
            for (int x = 0; x < wall.width; x++) {
                path.add(new Point(x, y));
            }
        }
        return path;
    }
}

颜色混合逻辑

public class ColorMixer {
    public Color mixColors(Color color1, Color color2) {
        int red = (color1.getRed() + color2.getRed()) / 2;
        int green = (color1.getGreen() + color2.getGreen()) / 2;
        int blue = (color1.getBlue() + color2.getBlue()) / 2;
        return new Color(red, green, blue);
    }
}

墙面缺陷检测

public class WallDefectDetector {
    public boolean hasDefects(WallImage image) {
        // 图像处理算法检测墙面缺陷
        return image.analyze().hasDefects();
    }
}

喷涂压力控制

public class SprayPressureController {
    private static final double IDEAL_PRESSURE = 2.5; // bar

    public double adjustPressure(double distance) {
        return IDEAL_PRESSURE * (1 + distance/10);
    }
}

工作进度跟踪

public class PaintingProgressTracker {
    private double totalArea;
    private double paintedArea;

    public void updateProgress(double areaPainted) {
        paintedArea += areaPainted;
    }

    public double getCompletionPercentage() {
        return (paintedArea / totalArea) * 100;
    }
}

多机器人协作

public class PaintingRobotCoordinator {
    private List<Robot> robots;

    public void assignAreas(Rectangle wall) {
        int sectionWidth = wall.width / robots.size();
        for (int i = 0; i < robots.size(); i++) {
            Rectangle area = new Rectangle(
                i * sectionWidth, 0,
                sectionWidth, wall.height
            );
            robots.get(i).assignArea(area);
        }
    }
}

颜色推荐系统

public class ColorRecommender {
    private Map<String, List<String>> colorSchemes;

    public List<String> recommendColors(String baseColor) {
        return colorSchemes.getOrDefault(baseColor, 
            Arrays.asList("白色", "米色", "浅灰色"));
    }
}

墙面预处理检测

public class WallPreparator {
    public boolean isWallReady(Wall wall) {
        return wall.isClean() && wall.isDry() && 
               wall.isSmooth() && !wall.hasOldPaintPeeling();
    }
}

油漆库存管理

public class PaintInventory {
    private Map<String, Double> paintStock = new HashMap<>();

    public boolean checkAvailability(String color, double litersNeeded) {
        return paintStock.getOrDefault(color, 0.0) >= litersNeeded;
    }
}

喷涂模式选择

public class SprayPatternSelector {
    public enum Pattern { VERTICAL, HORIZONTAL, CIRCULAR }

    public Pattern selectPattern(Wall wall) {
        if (wall.hasWindows()) return Pattern.CIRCULAR;
        if (wall.getHeight() > wall.getWidth()) return Pattern.VERTICAL;
        return Pattern.HORIZONTAL;
    }
}

环境条件监测

public class EnvironmentMonitor {
    private static final double MIN_TEMP = 10.0;
    private static final double MAX_TEMP = 30.0;
    private static final double MAX_HUMIDITY = 85.0;

    public boolean isEnvironmentSuitable(double temp, double humidity) {
        return temp >= MIN_TEMP && temp <= MAX_TEMP && 
               humidity <= MAX_HUMIDITY;
    }
}

油漆粘度调整

public class PaintViscosityAdjuster {
    public double calculateThinnerAmount(double paintAmount, 
                                        double currentViscosity, 
                                        double targetViscosity) {
        return paintAmount * (currentViscosity - targetViscosity) / targetViscosity;
    }
}

异常情况处理

public class PaintingExceptionHandler {
    public void handleLowPaint(String color) {
        alertOperator("油漆不足: " + color);
        pausePainting();
        requestRefill(color);
    }
}

运动轨迹优化

public class MotionOptimizer {
    public List<Point> optimizePath(List<Point> originalPath) {
        // 实现路径优化算法，如旅行商问题简化版
        return originalPath.stream()
            .sorted(Comparator.comparingInt(p -> p.x + p.y))
            .collect(Collectors.toList());
    }
}

喷涂均匀性检测

public class CoatingUniformityAnalyzer {
    public boolean isUniform(WallImage image) {
        double stdDev = calculateColorStandardDeviation(image);
        return stdDev < 5.0; // 允许的标准差阈值
    }
}

能耗计算

public class EnergyConsumptionCalculator {
    private static final double ENERGY_PER_SQ_METER = 0.05; // kWh

    public double calculateEnergy(double area) {
        return area * ENERGY_PER_SQ_METER;
    }
}

用户偏好学习

public class PreferenceLearner {
    private Map<String, Integer> colorPreferences = new HashMap<>();

    public void recordPreference(String color) {
        colorPreferences.put(color, colorPreferences.getOrDefault(color, 0) + 1);
    }

    public String getPreferredColor() {
        return colorPreferences.entrySet().stream()
            .max(Map.Entry.comparingByValue())
            .map(Map.Entry::getKey)
            .orElse("白色");
    }
}

墙面纹理分析

public class WallTextureAnalyzer {
    public TextureType analyzeTexture(WallImage image) {
        if (image.hasRoughPattern()) return TextureType.ROUGH;
        if (image.hasSmoothPattern()) return TextureType.SMOOTH;
        return TextureType.NORMAL;
    }
}

自动清洁程序

public class AutoCleaner {
    public void cleanNozzle() {