C++ 代码实现高性能异构分布式并行智慧球场管理系统

设备管理模块

管理球场内的各种设备,如照明、显示屏、空调等。 代码实现应包括设备的控制、状态监控和异构设备的兼容性处理。

#include <iostream>
#include <unordered_map>
#include <string>

class DeviceManager {
private:
    std::unordered_map<std::string, std::string> devices;

public:
    void add_device(const std::string& device_id, const std::string& device_type) {
        devices[device_id] = device_type;
        std::cout << "Device added: " << device_id << " of type " << device_type << std::endl;
    }

    void control_device(const std::string& device_id, const std::string& command) {
        if (devices.find(device_id) != devices.end()) {
            std::cout << "Sending command '" << command << "' to device " << device_id << std::endl;
        } else {
            std::cout << "Device " << device_id << " not found!" << std::endl;
        }
    }

    void monitor_device(const std::string& device_id) {
        if (devices.find(device_id) != devices.end()) {
            std::cout << "Monitoring device " << device_id << ", type: " << devices[device_id] << std::endl;
        } else {
            std::cout << "Device " << device_id << " not found!" << std::endl;
        }
    }
};

int main() {
    DeviceManager manager;
    manager.add_device("Light01", "Lighting");
    manager.add_device("Screen01", "Display");
    
    manager.control_device("Light01", "Turn On");
    manager.monitor_device("Screen01");

    return 0;
}

数据采集与监控模块

负责收集球场内传感器数据,如人流量、温度、湿度等。 代码实现应包括数据的实时采集、传输、存储和分析。

#include <iostream>
#include <thread>
#include <queue>
#include <mutex>
#include <condition_variable>

std::queue<std::string> sensor_data_queue;
std::mutex queue_mutex;
std::condition_variable data_cond;

void sensor_data_collector() {
    while (true) {
        std::this_thread::sleep_for(std::chrono::seconds(2));
        std::string data = "Temperature: " + std::to_string(20 + rand() % 10) + "°C";
        
        std::lock_guard<std::mutex> lock(queue_mutex);
        sensor_data_queue.push(data);
        data_cond.notify_one();
    }
}

void sensor_data_processor() {
    while (true) {
        std::unique_lock<std::mutex> lock(queue_mutex);
        data_cond.wait(lock, [] { return !sensor_data_queue.empty(); });
        
        std::string data = sensor_data_queue.front();
        sensor_data_queue.pop();
        lock.unlock();
        
        std::cout << "Processing sensor data: " << data << std::endl;
    }
}

int main() {
    std::thread collector(sensor_data_collector);
    std::thread processor(sensor_data_processor);
    
    collector.join();
    processor.join();
    return 0;
}

资源调度与分配模块

负责球场资源的动态分配与调度,如场地分配、设备使用等。 代码实现需要支持高效的资源调度算法,并利用并行计算提升性能。

#include <iostream>
#include <thread>
#include <vector>
#include <mutex>
#include <random>

std::mutex resource_mutex;

void allocate_resource(int resource_id, const std::string& task) {
    std::lock_guard<std::mutex> lock(resource_mutex);
    std::cout << "Allocating resource " << resource_id << " for task " << task << std::endl;
    std::this_thread::sleep_for(std::chrono::milliseconds(500)); // 模拟资源分配
    std::cout << "Task " << task << " completed using resource " << resource_id << std::endl;
}

int main() {
    std::vector<std::thread> threads;
    for (int i = 0; i < 5; ++i) {
        threads.emplace_back(allocate_resource, i, "Task" + std::to_string(i));
    }
    
    for (auto& th : threads) {
        th.join();
    }
    
    std::cout << "All tasks processed." << std::endl;
    return 0;
}

智能分析与决策模块

基于采集的数据进行分析,提供智能化的管理决策,如人流控制、环境优化等。 代码实现可以通过集成机器学习模型或规则引擎来进行决策支持。

#include <iostream>
#include <vector>
#include <random>

class DecisionModel {
public:
    int analyze(const std::vector<int>& data) {
        int sum = 0;
        for (int value : data) {
            sum += value;
        }
        return sum > 10 ? 1 : 0; // 简单规则模拟分析
    }
};

int main() {
    DecisionModel model;
    std::vector<int> sensor_data = {3, 4, 2, 3};
    int decision = model.analyze(sensor_data);
    std::cout << "Decision: " << (decision == 1 ? "Increase ventilation" : "No action needed") << std::endl;
    return 0;
}

网络通信与分布式管理模块

负责不同设备与服务器之间的网络通信,以及分布式系统的管理与协调。 代码实现应包含通信协议的选择与优化、数据加密和负载均衡等。

#include <iostream>
#include <thread>
#include <netinet/in.h>
#include <unistd.h>
#include <cstring>

void start_server() {
    int server_fd, new_socket;
    struct sockaddr_in address;
    int addrlen = sizeof(address);
    char buffer[1024] = {0};
    const char *message = "Connected to the stadium management server!";
    
    if ((server_fd = socket(AF_INET, SOCK_STREAM, 0)) == 0) {
        perror("Socket failed");
        exit(EXIT_FAILURE);
    }
    
    address.sin_family = AF_INET;
    address.sin_addr.s_addr = INADDR_ANY;
    address.sin_port = htons(8080);
    
    if (bind(server_fd, (struct sockaddr *)&address, sizeof(address)) < 0) {
        perror("Bind failed");
        exit(EXIT_FAILURE);
    }
    if (listen(server_fd, 3) < 0) {
        perror("Listen failed");
        exit(EXIT_FAILURE);
    }
    
    while (true) {
        std::cout << "Waiting for client connection..." << std::endl;
        if ((new_socket = accept(server_fd, (struct sockaddr *)&address, 
                                 (socklen_t*)&addrlen)) < 0) {
            perror("Accept failed");
            exit(EXIT_FAILURE);
        }
        send(new_socket, message, strlen(message), 0);
        std::cout << "Message sent to client" << std::endl;
        close(new_socket);
    }
}

int main() {
    std::thread server_thread(start_server);
    server_thread.join();
    return 0;
}

用户界面与交互模块

提供用户界面,供管理员查看系统状态、控制设备、获取分析结果等。 代码实现应包括前端与后端的交互,以及数据的可视化展示。

#include <iostream>

void display_menu() {
    std::cout << "智慧球场管理系统" << std::endl;
    std::cout << "1. 控制设备" << std::endl;
    std::cout << "2. 监控数据" << std::endl;
    std::cout << "3. 分配资源" << std::endl;
    std::cout << "4. 退出" << std::endl;
}

void control_device() {
    std::string device;
    std::string command;
    std::cout << "请输入设备ID: ";
    std::cin >> device;
    std::cout << "请输入控制命令: ";
    std::cin >> command;
    std::cout << "设备 " << device << " 执行命令 " << command << std::endl;
}

void monitor_data() {
    std::cout << "当前温度: 25°C" << std::endl;
    std::cout << "当前湿度: 50%" << std::endl;
}

void allocate_resources() {
    int resource_id;
    std::cout << "请输入要分配的资源ID: ";
    std::cin >> resource_id;
    std::cout << "资源 " << resource_id << " 已分配" << std::endl;
}

int main() {
    while (true) {
        display_menu();
        int choice;
        std::cin >> choice;

        switch (choice) {
            case 1:
                control_device();
                break;
            case 2:
                monitor_data();
                break;
            case 3:
                allocate_resources();
                break;
            case 4:
                std::cout << "退出系统" << std::endl;
                return 0;
            default:
                std::cout << "无效选择,请重试。" << std::endl;
                break;
        }
    }
}

系统容错与恢复模块

负责处理系统的异常情况,提供故障容错与自动恢复的机制。 代码实现应包括日志记录、异常捕获和恢复机制。

#include <iostream>
#include <fstream>
#include <exception>

void process_data(int data) {
    std::ofstream log("stadium_system.log", std::ios_base::app);
    try {
        if (data == 0) throw std::runtime_error("Division by zero error");
        int result = 100 / data;
        std::cout << "Processed data: " << result << std::endl;
    } catch (const std::exception& e) {
        log << "Error processing data: " << e.what() << std::endl;
        std::cout << "Error encountered, logged details for further analysis." << std::endl;
    }
}

int main() {
    process_data(0); // 模拟错误情况
    process_data(10); // 正常情况
    return 0;
}

总结

上面是一个基本的高性能异构分布式并行智慧球场管理系统的C++代码实现,每个模块独立完成特定功能,通过合理的模块化设计,可以满足复杂系统的开发需求。根据具体应用场景,您可以进一步扩展和优化这些模块,例如引入实际的数据库、复杂的设备控制逻辑、更多的传感器类型、以及更为复杂的分布式处理机制。

Python 代码实现高性能异构分布式并行智慧球场管理系统

设备管理模块

管理球场内的各种设备,如照明、显示屏、空调等。 代码实现应包括设备的控制、状态监控和异构设备的兼容性处理。

class DeviceManager:
    def __init__(self):
        self.devices = {}

    def add_device(self, device_id, device_type):
        self.devices[device_id] = device_type
        print(f"Device added: {device_id} of type {device_type}")

    def control_device(self, device_id, command):
        if device_id in self.devices:
            print(f"Sending command '{command}' to device {device_id}")
        else:
            print(f"Device {device_id} not found!")

    def monitor_device(self, device_id):
        if device_id in self.devices:
            print(f"Monitoring device {device_id}, type: {self.devices[device_id]}")
        else:
            print(f"Device {device_id} not found!")


if __name__ == "__main__":
    manager = DeviceManager()
    manager.add_device("Light01", "Lighting")
    manager.add_device("Screen01", "Display")
    
    manager.control_device("Light01", "Turn On")
    manager.monitor_device("Screen01")

数据采集与监控模块

负责收集球场内传感器数据,如人流量、温度、湿度等。 代码实现应包括数据的实时采集、传输、存储和分析。

import threading
import time
import random
from queue import Queue

sensor_data_queue = Queue()

def sensor_data_collector():
    while True:
        time.sleep(2)
        data = f"Temperature: {20 + random.randint(0, 9)}°C"
        sensor_data_queue.put(data)

def sensor_data_processor():
    while True:
        data = sensor_data_queue.get()
        print(f"Processing sensor data: {data}")

if __name__ == "__main__":
    collector_thread = threading.Thread(target=sensor_data_collector)
    processor_thread = threading.Thread(target=sensor_data_processor)
    
    collector_thread.start()
    processor_thread.start()
    
    collector_thread.join()
    processor_thread.join()

资源调度与分配模块

负责球场资源的动态分配与调度,如场地分配、设备使用等。 代码实现需要支持高效的资源调度算法,并利用并行计算提升性能。

import threading
import time

resource_lock = threading.Lock()

def allocate_resource(resource_id, task):
    with resource_lock:
        print(f"Allocating resource {resource_id} for task {task}")
        time.sleep(0.5)  # 模拟资源分配
        print(f"Task {task} completed using resource {resource_id}")

if __name__ == "__main__":
    threads = []
    for i in range(5):
        t = threading.Thread(target=allocate_resource, args=(i, f"Task{i}"))
        threads.append(t)
        t.start()
    
    for t in threads:
        t.join()
    
    print("All tasks processed.")

智能分析与决策模块

基于采集的数据进行分析,提供智能化的管理决策,如人流控制、环境优化等。 代码实现可以通过集成机器学习模型或规则引擎来进行决策支持。

class DecisionModel:
    def analyze(self, data):
        total = sum(data)
        return 1 if total > 10 else 0  # 简单规则模拟分析

if __name__ == "__main__":
    model = DecisionModel()
    sensor_data = [3, 4, 2, 3]
    decision = model.analyze(sensor_data)
    print("Decision:", "Increase ventilation" if decision == 1 else "No action needed")

网络通信与分布式管理模块

负责不同设备与服务器之间的网络通信,以及分布式系统的管理与协调。 代码实现应包含通信协议的选择与优化、数据加密和负载均衡等。

import socket

def start_server():
    server_socket = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
    server_socket.bind(('0.0.0.0', 8080))
    server_socket.listen(1)
    print("Server listening on port 8080...")

    while True:
        client_socket, addr = server_socket.accept()
        print(f"Connection from {addr}")
        client_socket.send(b"Connected to the stadium management server!")
        client_socket.close()

if __name__ == "__main__":
    start_server()

用户界面与交互模块

提供用户界面,供管理员查看系统状态、控制设备、获取分析结果等。 代码实现应包括前端与后端的交互,以及数据的可视化展示。

def display_menu():
    print("智慧球场管理系统")
    print("1. 控制设备")
    print("2. 监控数据")
    print("3. 分配资源")
    print("4. 退出")

def control_device():
    device = input("请输入设备ID: ")
    command = input("请输入控制命令: ")
    print(f"设备 {device} 执行命令 {command}")

def monitor_data():
    print("当前温度: 25°C")
    print("当前湿度: 50%")

def allocate_resources():
    resource_id = input("请输入要分配的资源ID: ")
    print(f"资源 {resource_id} 已分配")

if __name__ == "__main__":
    while True:
        display_menu()
        choice = int(input("选择操作: "))

        if choice == 1:
            control_device()
        elif choice == 2:
            monitor_data()
        elif choice == 3:
            allocate_resources()
        elif choice == 4:
            print("退出系统")
            break
        else:
            print("无效选择,请重试。")

系统容错与恢复模块

负责处理系统的异常情况,提供故障容错与自动恢复的机制。 代码实现应包括日志记录、异常捕获和恢复机制。

import logging

logging.basicConfig(filename="stadium_system.log", level=logging.ERROR)

def process_data(data):
    try:
        if data == 0:
            raise ValueError("Division by zero error")
        result = 100 / data
        print("Processed data:", result)
    except Exception as e:
        logging.error(f"Error processing data: {str(e)}")
        print("Error encountered, logged details for further analysis.")

if __name__ == "__main__":
    process_data(0)  # 模拟错误情况
    process_data(10)  # 正常情况

总结

上述Python代码展示了如何通过不同模块实现一个高性能异构分布式并行智慧球场管理系统。每个模块都可以独立运行,并且可以根据需求进行扩展和优化。这个系统设计是高度模块化的,便于维护、调试和进一步扩展。