数据收集及统计分析

　　数据收集及统计分析
　　数据收集是生活中非常常见的应用，收集数据后的统计分析也是非常重要的操作步骤。今天小编为大家介绍一下仿真软件关于数据收集及分析的应用操作。
　　Data collection is a very common application in life, and statistical analysis after data collection is also a very important operation step. Today, I will introduce to you the application and operation of simulation software for data collection and analysis.
　　案例要求如下；1.发生器产生三种不同类型的产品；2.有三个加工机台，均可产生三种产品，但加工时间不同，分别为10、15、12；3.加工完毕后进入到对应的输送带；4.输送结束后进入检验台进行检验，检验时间分别为18、16、17；5.生产时间为1000秒，要求在规定时间内生产产品100个。问：该系统中是否存在瓶颈环节，若存在，哪一个环节为瓶颈环节。
　　The requirements of the case are as follows; 1. The generator produces three different types of products; 2. There are three processing machines, all of which can produce three products, but the processing time is different, respectively 10, 15, and 12; 3. Enter after processing is completed To the corresponding conveyor belt; 4. After the conveying is finished, enter the inspection station for inspection. The inspection time is 18, 16, and 17 respectively; 5. The production time is 1000 seconds, and 100 products are required to be produced within the specified time. Question: Is there a bottleneck in the system, and if so, which one is the bottleneck?
　　这种仿真案例就必然需要我们去寻找问题，因此在多数情况就需要应用到数据的统计，首先我们进行相关建模，实现案例要求，关于这次的仿真建模其实是比较常规的，只需要按要求设置即可，前面已经有很多次这样的操作介绍，我便不再赘述了，最终模型及相关参数设置如下：
　　This kind of simulation case will inevitably require us to look for problems. Therefore, in most cases, we need to apply the statistics of the data. First, we carry out relevant modeling to achieve the requirements of the case. The simulation modeling this time is actually more conventional. You can set it as required. There have been many introductions to this operation before, so I won＂t repeat them. The final model and related parameters are set as follows:
　　发生器设置
　　Generator settings
　　加工处理器设置
　　Processing processor settings
　　检验处理器设置
　　Verify processor settings
　　规定1000秒时间设置
　　Specify 1000 seconds time setting
　　这样便完成了整个案例模型建模，运行模型如下：
　　This completes the entire case model modeling, and the running model is as follows:
　　接下来，最重要的是数据的收集和分析，需要用到软件中的DashBoard模块，使用实体统计。DashBoard模块中有很多的统计图，我们可以在工具栏中找到这个模块，界面如下
　　Next, the most important thing is the collection and analysis of data, which requires the use of the DashBoard module in the software and the use of entity statistics. There are many statistical graphs in the DashBoard module. We can find this module in the toolbar. The interface is as follows
　　那么实体的统计工具，则需要我们单击任意实体，在快捷属性窗口中有一个数据板块，就可以查看到单击特定实体的对应常规统计数据
　　Then the statistical tool of the entity requires us to click on any entity, and there is a data section in the shortcut properties window, and then we can view the corresponding general statistical data of the specific entity.
　　通过对上述模型的运行我们可以发现会出现相关堵塞情况，因此我们需要进行相关数据收集找到瓶颈问题，首先我们需要拖动相关实体的饼状图，选择相关实体，分析其出入处理情况
　　Through the operation of the above model, we can find that there will be related congestion, so we need to collect relevant data to find the bottleneck problem. First, we need to drag the pie chart of the relevant entity, select the relevant entity, and analyze its entry and exit processing.
　　获得结果如下
　　The results obtained are as follows
　　我们不难发现检验处理器和第一个处理器的效率相对低下，在很大程度上是因为我们对于暂存区的设置是默认的第一个可用端口，按照其默认逻辑，第一个处理器需要的工作会更多，因此效率会相对低下。
　　It is not difficult to find that the efficiency of the inspection processor and the first processor is relatively low, to a large extent because our setting of the temporary storage area is the default first available port. According to its default logic, the first processing The work required by the processor will be more, so the efficiency will be relatively low.
　　通过对数据的收集我们很容易找出模型的瓶颈，进行相关的分析和处理，优化模型。
　　Through the collection of data, we can easily find the bottleneck of the model, carry out relevant analysis and processing, and optimize the model.
　　参考资料：腾讯课堂《从小白到大神》
　　英文翻译：Google翻译
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