Simpy 监控

# SimPy 监控与数据收集 本指南涵盖了在 SimPy 中收集数据和监控模拟行为的技术。 ## 监控策略 在实施监控之前，请明确三件事： 1. **监控什么**：流程、资源、事件或系统状态 2. **何时监控**：变更时、按间隔或在特定事件时 3. **如何存储数据**：列表、文件、数据库或实时输出 ## 1. 流程监控 ### 状态变量跟踪 通过在变量发生变化时记录它们来跟踪流程状态。 python import simpy def customer(env, name, service_time, log): arrival_time = env.now log.append(('arrival', name, arrival_time)) yield env.timeout(service_time) departure_time = env.now log.append(('departure', name, departure_time)) wait_time = departure_time - arrival_time log.append(('wait_time', name, wait_time)) env = simpy.Environment() log = [] env.process(customer(env, 'Customer 1', 5, log)) env.process(customer(env, 'Customer 2', 3, log)) env.run() print('Simulation log:') for entry in log: print(entry) ### 时间序列数据收集 python import simpy def system_monitor(env, system_state, data_log, interval): while True: data_log.append((env.now, system_state['queue_length'], system_state['utilization'])) yield env.timeout(interval) def process(env, system_state): while True: system_state['queue_length'] += 1 yield env.timeout(2) system_state['queue_length'] -= 1 system_state['utilization'] = system_state['queue_length'] / 10 yield env.timeout(3) env = simpy.Environment() system_state = {'queue_length': 0, 'utilization': 0.0} data_log = [] env.process(system_monitor(env, system_state, data_log, interval=1)) env.process(process(env, system_state)) env.run(until=20) print('Time series data:') for time, queue, util in data_log: print(f'Time {time}: Queue={queue}, Utilization={util:.2f}') ### 多变量跟踪 python import simpy class SimulationData: def __init__(self): self.timestamps = [] self.queue_lengths = [] self.processing_times = [] self.utilizations = [] def record(self, timestamp, queue_length, processing_time, utilization): self.timestamps.append(timestamp) self.queue_lengths.append(queue_length) self.processing_times.append(processing_time) self.utilizations.append(utilization) def monito