8440-2116  离散输入  每个输入的可配置延迟

型号：8440-2116

8个可配置的分立报警输入

8个可配置的FORM C继电器，具有潜在的自由触点

每个输入的可配置延迟

CAN总线通信

离散输入通过CAN总线将其状态传输到控制单元。

控制单元评估来自ikd1的这些离散输入的状态，并根据控制单元的配置采取适当的操作。

控制单元可以通过can总线发送命令，远程控制ikd1的输出继电器。

ikd1可以与其他制造商的控制器一起使用。

8440-2116"离散输入" 通常指的是一系列不连续、不连贯的数据或信号输入。在计算机科学、电子工程、信号处理等领域，离散输入是非常常见的。这种输入通常与连续输入形成对比，连续输入是指随时间连续变化的数据或信号。

8440-2116离散输入可以包括：

数字序列：例如，一系列的数字、代码或符号。

采样数据：从连续信号中获取的离散样本点。

二进制输入：只有两种可能的状态（例如，0和1）的输入。

键盘输入：用户通过键盘输入的字符或命令。

传感器数据：某些传感器可能只在特定时间点或当满足某些条件时输出数据。

处理离散输入通常涉及对输入数据进行解析、存储、分析和转换，以便进一步的处理或用于特定的应用。例如，在数字信号处理中，可能需要将离散样本转换为连续的波形；在机器学习中，可能需要将离散的特征向量输入到模型中进行训练和预测。

Model: 8440-2116

8 configurable discrete alarm inputs

8 configurable FORM C relays with potential free contacts

Configurable latency for each input

CAN bus communication

The discrete input transmits its state to the control unit via the CAN bus.

The control unit evaluates the state of these discrete inputs from ikd1 and takes the appropriate action based on the configuration of the control unit.

The control unit can remotely control the output relays of the ikd1 by sending commands through the CAN bus.

The ikd1 can be used with controllers from other manufacturers.

8440-2116" discrete input "generally refers to a series of discontinuous, incoherent data or signal inputs. In computer science, electronic engineering, signal processing and other fields, discrete input is very common. This input is often contrasted with a continuous input, which is a data or signal that changes continuously over time.

8440-2116 Discrete inputs can include:

Numeric sequence: For example, a series of numbers, codes, or symbols.

Sampled data: Discrete sample points taken from a continuous signal.

Binary input: An input with only two possible states (for example, 0 and 1).

Keyboard input: Characters or commands entered by the user on the keyboard.

Sensor data: Some sensors may only output data at certain points in time or when certain conditions are met.

Processing discrete inputs usually involves parsing, storing, analyzing, and transforming input data for further processing or use in specific applications. For example, in digital signal processing, it may be necessary to convert discrete samples into continuous waveforms; In machine learning, it may be necessary to input discrete feature vectors into the model for training and prediction.