"TI-TDC1011产品手册及样本详解"

需积分: 5 0 下载量 135 浏览量 更新于2024-03-16 4 收藏 1.95MB PDF 举报
The TI-TDC1011 is a high-resolution time-to-digital converter (TDC) designed by Texas Instruments for various precision measurement applications. This device utilizes time-of-flight (TOF) principles to accurately measure the time difference between two incoming signals, making it suitable for distance measurement, flow metering, and radar applications. The TI-TDC1011 features a resolution of up to 5.4 ps, allowing for precise measurement of small time intervals with high accuracy. The device operates at a wide range of input signal frequencies, from DC to 10 MHz, making it versatile for a variety of applications. Additionally, the TDC1011 includes an integrated temperature sensor for automatic calibration and compensation, ensuring reliable performance over a wide range of operating conditions. In terms of interface, the TI-TDC1011 features a flexible SPI interface for easy communication with microcontrollers or other external devices. This allows for seamless integration into existing systems and enables users to easily configure and monitor the device's operation. The device also features a low-power standby mode, making it suitable for battery-powered applications where power consumption is a concern. The TI-TDC1011 is housed in a compact VQFN package, making it suitable for space-constrained applications. The device is also RoHS-compliant, ensuring that it meets current environmental standards. Overall, the TI-TDC1011 is a versatile and high-performance TDC solution for precision measurement applications, offering industry-leading performance and reliability.

data["水流量"] = data["水流量"] / 60 # 原单位L/min,现转换为L/sec sj["总用水量"] = 0 # 给总用水量赋一个初始值0 for i in range(len(sj)): Start = sj.loc[i,"事件起始编号"]-1 End = sj.loc[i,"事件终止编号"]-1 if Start != End: for j in range(Start,End): if data.loc[j,"水流量"] != 0: sj.loc[i,"总用水量"] = (data.loc[j + 1,"发生时间"] - data.loc[j,"发生时间"]).seconds* \ data.loc[j,"水流量"] + sj.loc[i,"总用水量"] sj.loc[i,"总用水量"] = sj.loc[i,"总用水量"] + data.loc[End,"水流量"] * 2 else: sj.loc[i,"总用水量"] = data.loc[Start,"水流量"] * 2 sj["平均水流量"] = sj["总用水量"] / sj["用水时长"] # 定义特征 平均水流量 # 构造特征:水流量波动 # 水流量波动=∑(((单次水流的值-平均水流量)^2)*持续时间)/用水时长 sj["水流量波动"] = 0 # 给水流量波动赋一个初始值0 for i in range(len(sj)): Start = sj.loc[i,"事件起始编号"] - 1 End = sj.loc[i,"事件终止编号"] - 1 for j in range(Start,End + 1): if data.loc[j,"水流量"] != 0: slbd = (data.loc[j,"水流量"] - sj.loc[i,"平均水流量"])**2 slsj = (data.loc[j + 1,"发生时间"] - data.loc[j,"发生时间"]).seconds sj.loc[i,"水流量波动"] = slbd * slsj + sj.loc[i,"水流量波动"] sj.loc[i,"水流量波动"] = sj.loc[i,"水流量波动"] / sj.loc[i,"用水时长"] # 构造特征:停顿时长波动 # 停顿时长波动=∑(((单次停顿时长-平均停顿时长)^2)*持续时间)/总停顿时长 sj["停顿时长波动"] = 0 # 给停顿时长波动赋一个初始值0 for i in range(len(sj)): if sj.loc[i,"停顿次数"] > 1: # 当停顿次数为0或1

2023-06-09 上传