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Last edited time
Sep 1, 2023 04:40 AM
Created time
Apr 12, 2023 03:38 AM
我们可以使用 Python 编写程序来处理麦克风功率温度数据。首先,我们需要编写代码来读取数据和将其存储在适当的数据结构中。接下来,我们可以使用 Python 的一系列内置函数和库来分析和处理数据。例如,我们可以使用 NumPy 库来进行数学运算和数据处理,使用 Matplotlib 库来创建可视化图表以帮助我们理解数据。此外,我们可以将这些数据与其他数据源进行比较,例如历史数据或其他相关数据,以便更好地理解数据背后的趋势和模式。最终,我们可以将分析结果用于制定决策或改进麦克风的设计,以便更好地满足用户需求。总之,Python 是一个非常强大的工具,可用于处理各种类型的数据,包括麦克风功率温度数据。
需求分析
fertig 15 文件夹为噪音 wpqs_lm6039 文件为功率和温度
wpqs_lm6039里只需要日期、时间、0:Count_01(Imp)和6:T_amb(C)
fertig 15里需要 date time L_Aeq_K1 loud_K1 sharp_K1 L_Aeq_K2 loud_K2 sharp_K2 K_T_IM1 K_I_IM1 K_R_IM1 loud_IM1 sharp_IM1
wpqs_lm6039中 00:00:00 对应 fertig 15 中 00:00:00 、00:00:05、00:00:10、00:00:15、00:00:20、00:00:25
wpqs_lm6039中 00:00:30 对应 fertig 15 中 00:00:30 、00:00:35、00:00:40、00:00:45、00:00:50、00:00:55
fertig 15 中从3月28日(210328)以后的所有文件增加一个小时
符号说明: 机器旁麦克风 K1 环境麦克风K2 卧室模拟噪音值 IM1
功率计算:0:Count_01(Imp)栏内,功率P=每个时刻与上一时刻的差值*12 W。
当功率P大于30W时,机器处于工作状态。
环境温度: 6:T_amb(C)
晚上:00:00-06:59 白天:07:00-23:59
tf_file="D:/Users/lyu/Desktop/Thesis/HP15/imission_rtf_InternalMic_2021_01_20_14_31_38_02_Schlafzimmer.npy"(见附件)
tf_data = np.load(tf_file, allow_pickle=True)
tf = tf_data[0]
mean_tf = 10*np.log10(np.abs(np.mean(tf)))
L_Aeq_IM1=L_Aeq_K1+ mean_tf
Lp = 20 log (p/2*10-5) (dB)
麦克风校验
当机器不工作时,K1 vs. K2
全时段
![notion image](https://geniusss.notion.site/image/https%3A%2F%2Fs3-us-west-2.amazonaws.com%2Fsecure.notion-static.com%2Fc5182f06-73cc-41e3-ab24-3adfc3ed3355%2FUntitled.png?table=block&id=173864cc-3a8c-43fc-9aa5-f5e08d8890b5)
图中颜色表示数据密度,黄色区域数据密度大,紫色小。
白天
![notion image](https://geniusss.notion.site/image/https%3A%2F%2Fs3-us-west-2.amazonaws.com%2Fsecure.notion-static.com%2F8f4eca14-bc4d-4493-b443-505322744701%2FUntitled.png?table=block&id=56394133-e470-48ae-ae3a-7929aa290ab6)
晚上
![notion image](https://geniusss.notion.site/image/https%3A%2F%2Fs3-us-west-2.amazonaws.com%2Fsecure.notion-static.com%2F4a9a7ead-be5d-4f81-8383-09876c889416%2FUntitled.png?table=block&id=0453b4da-f5d8-4f37-b896-6663642254d9)
K1与K2的差值 连续时间
全时段
![notion image](https://geniusss.notion.site/image/https%3A%2F%2Fs3-us-west-2.amazonaws.com%2Fsecure.notion-static.com%2F4d196a86-740b-450a-a1f0-c8d19207a3da%2FUntitled.png?table=block&id=729efd0b-9b46-4e62-a53e-5fc4036dd51f)
白天
![notion image](https://geniusss.notion.site/image/https%3A%2F%2Fs3-us-west-2.amazonaws.com%2Fsecure.notion-static.com%2Fdedf66df-021e-49b4-bc59-ce56f3f868ad%2FUntitled.png?table=block&id=18238ef3-791a-4546-9b48-c4cb45673876)
晚上
![notion image](https://geniusss.notion.site/image/https%3A%2F%2Fs3-us-west-2.amazonaws.com%2Fsecure.notion-static.com%2Fba8b9997-27c9-4f42-be6a-d8e2957030bb%2FUntitled.png?table=block&id=c3be030c-7b6c-4b81-b555-a78a6d04594e)
噪音分布
麦克风K1
![notion image](https://geniusss.notion.site/image/https%3A%2F%2Fs3-us-west-2.amazonaws.com%2Fsecure.notion-static.com%2Fab788c9e-d91e-415e-97e0-052c9e1ceea6%2FUntitled.png?table=block&id=15ceff38-f96b-427e-8bff-81c4c4db5179)
![notion image](https://geniusss.notion.site/image/https%3A%2F%2Fs3-us-west-2.amazonaws.com%2Fsecure.notion-static.com%2F6397853a-3787-4b90-8536-803e45445d98%2FUntitled.png?table=block&id=2fc09305-1bcb-4657-97bf-d405df690fc4)
![notion image](https://geniusss.notion.site/image/https%3A%2F%2Fs3-us-west-2.amazonaws.com%2Fsecure.notion-static.com%2F5632522f-69f7-448a-9032-35fe013311cc%2FUntitled.png?table=block&id=e33dd339-503d-4134-8c73-cb8069dcc81a)
完成麦克风K2和模拟值IM1以上图。
噪音超过规定小时数
白天(06:00-22:00):小于50dB(A)
晚上(22:00-次日06:00):小于35 dB(A)
(06.00 am – 07.00 am 小于44 dB(A)
8.00 pm – 10.00 pm 小于29)
L_r_IM1= L_Aeq_IM1+K_T_IM1+K_I_IM1+K_R_IM1
![notion image](https://geniusss.notion.site/image/https%3A%2F%2Fs3-us-west-2.amazonaws.com%2Fsecure.notion-static.com%2F11887e6c-78ac-4b8d-bbd8-7925e6a2b453%2FUntitled.png?table=block&id=12ded2fd-bc11-422b-b449-6d88746e9dc4)
![notion image](https://geniusss.notion.site/image/https%3A%2F%2Fs3-us-west-2.amazonaws.com%2Fsecure.notion-static.com%2Faf107602-f7e7-44e2-8ddb-2cb8a167eff2%2FUntitled.png?table=block&id=c23c9a5f-6180-48bf-9f42-9c35bb287547)
![notion image](https://geniusss.notion.site/image/https%3A%2F%2Fs3-us-west-2.amazonaws.com%2Fsecure.notion-static.com%2F08649f4b-bda3-4656-bf84-4c4d2516bccf%2FUntitled.png?table=block&id=50f50dca-e4eb-493f-9a90-15b19a3486ea)
注意:不同机器原始数据的时间格式不同。
噪音与温度、功率的关系
热泵麦克风K1
噪音与温度
![notion image](https://geniusss.notion.site/image/https%3A%2F%2Fs3-us-west-2.amazonaws.com%2Fsecure.notion-static.com%2F9dd64cff-3e73-42c4-b056-933a6808ed5b%2FUntitled.png?table=block&id=4d217945-ccc7-478d-ab07-4f7420c709ff)
![notion image](https://geniusss.notion.site/image/https%3A%2F%2Fs3-us-west-2.amazonaws.com%2Fsecure.notion-static.com%2F95f65893-1bc4-4e09-9270-dcb9b8d0894b%2FUntitled.png?table=block&id=546c2990-f58a-4b86-8802-d1d8ecbce5af)
![notion image](https://geniusss.notion.site/image/https%3A%2F%2Fs3-us-west-2.amazonaws.com%2Fsecure.notion-static.com%2Fb3c4b07c-b5fa-4c0b-bba4-2aa267d873ab%2FUntitled.png?table=block&id=dcfee948-1bc5-440a-b2cc-82d42aefda0e)
![notion image](https://geniusss.notion.site/image/https%3A%2F%2Fs3-us-west-2.amazonaws.com%2Fsecure.notion-static.com%2F9113641b-5f51-4e3d-bac8-c10f9668b565%2FUntitled.png?table=block&id=358077e6-5013-4a25-b742-1ac641ce81d1)
噪音与功率
![notion image](https://geniusss.notion.site/image/https%3A%2F%2Fs3-us-west-2.amazonaws.com%2Fsecure.notion-static.com%2F85211b9b-7f19-4615-821e-3965108f3fd7%2FUntitled.png?table=block&id=ded6ea90-7a18-4459-a75d-78daa8fb3810)
![notion image](https://geniusss.notion.site/image/https%3A%2F%2Fs3-us-west-2.amazonaws.com%2Fsecure.notion-static.com%2F997e31ca-ed86-4b2f-9015-21373a393d25%2FUntitled.png?table=block&id=a3611205-3d5d-4765-bc42-6ae566b51ee8)
![notion image](https://geniusss.notion.site/image/https%3A%2F%2Fs3-us-west-2.amazonaws.com%2Fsecure.notion-static.com%2F14218865-8282-46b1-95db-d096910c196a%2FUntitled.png?table=block&id=260b7d65-3fc6-41cf-acab-1a6bf59173f3)
![notion image](https://geniusss.notion.site/image/https%3A%2F%2Fs3-us-west-2.amazonaws.com%2Fsecure.notion-static.com%2F94b25f06-fb77-4973-8a7b-7338f355a073%2FUntitled.png?table=block&id=61c2f0a2-0c71-452b-817d-070d8b813bbd)
完成环境麦克风K2与模拟噪音IM1。
心理噪音
Loud_K1(Loud_K2/ Loud_IM1) vs. 温度T (功率P)
sharp_K1(sharp _K2/ sharp _IM1) vs. 温度T (功率P)
数据处理流程图
![notion image](https://geniusss.notion.site/image/https%3A%2F%2Fs3-us-west-2.amazonaws.com%2Fsecure.notion-static.com%2F0e9e3254-6749-4635-9b42-78f14b5367f8%2FUntitled.png?table=block&id=f71781e4-cfa5-4410-a887-de930a231309)
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- 作者:Chance Sha
- 链接:https://www.chancesha.com/article/using-python-to-process-microphone-data
- 声明:本文采用 CC BY-NC-SA 4.0 许可协议,转载请注明出处。