111 lines
2.6 KiB
Python
111 lines
2.6 KiB
Python
# -*- encoding:utf-8 -*-
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'''
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@Author : dingjiawen
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@Date : 2023/5/16 21:51
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@Usage :
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@Desc :测试
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'''
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import numpy as np
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import pandas as pd
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from datetime import datetime
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import json
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import os
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####TODO 测试CMS数据读取
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root = r"E:\data\cmsDemo/"
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now_time = datetime.now()
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def loadData():
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file_name = os.listdir(root)
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dataList=[]
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for file in file_name:
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if file.startswith("华能三塘湖"):
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read_name = os.path.join(root + file)
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# print(read_name)
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data = pd.read_csv(read_name, encoding='utf-8',header=None)
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total_data = data.values[0]
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name = file.split("_")
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data = {
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"windfarm": name[0],
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"wt_no": 5,
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"realtime": file.split(".")[0].split("_")[-1],
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"location": name[2]+"_"+name[3],
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"g": 3,
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"RPM": 14.41,
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"freq": name[4],
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"x": [],
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"time": now_time.strftime("%Y%m%d%H%M%S")
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}
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dataList.append((data,total_data))
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return dataList
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pass
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dataList = loadData()
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print(dataList)
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cms_data_path = r"E:\data\cmsDemo\华能三塘湖项目（一期）_D3-29_Shaft2_径向_25600_加速度g_14.41RPM_20180618003450.csv"
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cms_data_df = pd.read_csv(cms_data_path, encoding='gbk', header=None)
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x = list(cms_data_df)
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send_data = list(cms_data_df.values[0])
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print(send_data)
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print(type(send_data))
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data = {
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"windfarm": "华能三塘湖(一期)",
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"wt_no": 5,
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"realtime": "20180618003450",
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"location": "shaft_径向",
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"g": 3,
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"RPM": 14.41,
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"freq": 25600,
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"x": send_data[:3],
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"time": now_time.strftime("%Y%m%d%H%M%S")
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}
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print(data)
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# print(type(data))
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data_send = json.dumps(data).encode("gbk")
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print(data_send)
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####TODO 测试燃机数据读取
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# now_time = datetime.now()
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# data_path = r"E:\data\Historian(1)\historian_data_demo\2023_01_02.npy"
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# total_data = np.load(data_path)
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# print(total_data)
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# print(len(total_data))
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#
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# # # 获得行值
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# rows = np.unique(total_data[:, 2])
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# rows = np.insert(rows, 0, "Time")
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# # 排序操作，升序排序,按照第一列进行排序,
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# data_sorted = total_data[total_data[:, 2].argsort()]
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# # 获得列值
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# columns = np.unique(data_sorted[:, 0])
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# # 获得集合，在此基础上进行添加
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# values = rows[:, np.newaxis]
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# print("==================")
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# print(data_sorted)
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# single_data = total_data[1, :]
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# print(single_data)
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# data = {
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# "tagName": single_data[0],
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# "value": single_data[1],
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# "realtime": single_data[2],
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# "time": now_time.strftime("%Y%m%d%H%M%S")
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# }
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# print(data)
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