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140DRA84000 Schneider离散量输出模块

离散量输出模块有多种类型,其中常见的两种类型为交流型和直流型,这两种类型的模块都可以提供大范围电压输出,为电动机启动线圈、指示灯、电磁阀等输出设备提供能量,当处理器将一个二进制数“1”存储在存储器特定地址时,为连接在离散输出模块端子上的输出设备提供能量。  离散量输出模块主要应用于各种自动化控制系统,如楼宇智能化、工业自动化、电力保护、自动化仪表等领域。

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产品详情

140DRA84000 Schneider离散量输出模块

140DRA84000.jpg

型号:140DRA84000

主要信息

产品系列:Modicon Quantum 自动化平台

产品类型:继电器离散量输出模块

离散量输出数量 :16

触点类型:1 NO

切触形式:A型

离散量输出电压

20...250     V 交流

30...150     V 直流

5...30     V 直流

最小负荷

50 mA 在…上 20...250     V 交流

50 mA 在…上 5...30     V 直流

最大负载电流

1 A 250/30 V 交流/直流 1/8 hp cos phi = 0.4

1 A 250/30 V 交流/直流 钨

2 A 250/30 V 交流/直流 阻性(负载) 在…上 60 °C

300 mA 30...50     V 直流 阻性(负载)

浪涌电流

10 A 适用 10 ms 容性负载

开关能力以 VA

500 VA 阻性(负载)

离散量输出模块有多种类型,其中常见的两种类型为交流型和直流型,这两种类型的模块都可以提供大范围电压输出,为电动机启动线圈、指示灯、电磁阀等输出设备提供能量,当处理器将一个二进制数“1”存储在存储器特定地址时,为连接在离散输出模块端子上的输出设备提供能量。  离散量输出模块主要应用于各种自动化控制系统,如楼宇智能化、工业自动化、电力保护、自动化仪表等领域。

对于离散信号的采样,可以通过以下步骤进行:

确定采样频率:采样频率是指每秒钟对连续信号采样的次数。  采样频率越高,采样得到离散信号的质量越好,但同时也会增加采样和处理的复杂性和成本。  因此,需要根据实际需求和信号质量要求来确定合适的采样频率。

选择采样方式:根据具体应用场景和信号特点,可以选择不同的采样方式。  常用的采样方式包括线性采样和峰值采样。  例如,对于音频信号,通常采用线性采样方式,即对音频信号的每个时间点进行采样,记录下每个时间点的幅值;而对于脉冲信号,可以采用峰值采样方式,即只对信号的峰值进行采样。

进行采样处理:选择合适的采样方式后,需要对连续信号进行采样处理。  具体来说,就是用选定的采样函数对连续信号进行离散化处理,将连续信号转换为离散信号。  常用的采样函数包括矩形函数、三角函数等。

进行信号恢复:采样得到的离散信号需要经过信号恢复步骤,将其还原为连续信号。  常用的信号恢复方法包括插值和滤波。  例如,对于线性采样得到的离散信号,可以通过插值方法将其还原为连续信号;而对于峰值采样得到的离散信号,可以通过滤波方法将其还原为连续信号。

140DRA84000 Schneider离散量输出模块

140DRA84000.jpg

Model: 140DRA84000

Main information

Product line: Modicon Quantum automation platform

Product Type: Relay discrete output module

Discrete quantity output: 16

Contact type: 1 NO

Cutting form: Type A

Discrete output voltage

20... 250 V AC

30... 150 V DC

5... 30 V DC

Minimum load

50 mA in... The last 20... 250 V AC

50 mA in... Top 5... 30 V DC

Maximum load current

1 A 250/30 V AC/DC 1/8 hp cos phi = 0.4

1 A 250/30 V AC/DC tungsten

2 A 250/30 V AC/DC resistance (load) at... Up to 60 °C

300 mA 30... 50 V DC resistance (load)

Inrush current

10 A for 10 ms capacitive load

Switching capability to VA

500 VA resistance (load)

There are many types of discrete output modules, of which the two common types are AC and DC, both types of modules can provide a wide range of voltage output, for the motor start coil, indicator light, solenoid valve and other output devices to provide energy, when the processor stores a binary number "1" in the memory of a specific address, Provides power to output devices connected to discrete output module terminals. Discrete output module is mainly used in various automation control systems, such as building intelligence, industrial automation, power protection, automatic instrumentation and other fields.

For sampling of discrete signals, the following steps can be taken:

Determine the sampling frequency: The sampling frequency is the number of times a continuous signal is sampled per second. The higher the sampling frequency, the better the quality of the sampled discrete signal, but at the same time, it will increase the complexity and cost of sampling and processing. Therefore, it is necessary to determine the appropriate sampling frequency according to the actual demand and signal quality requirements.

Select a sampling mode: Select a sampling mode based on the application scenario and signal characteristics. Common sampling methods include linear sampling and peak sampling. For example, for audio signals, linear sampling is usually adopted, that is, each time point of the audio signal is sampled, and the amplitude of each time point is recorded. For the pulse signal, the peak sampling method can be used, that is, only the peak value of the signal is sampled.

Sampling processing: After selecting the appropriate sampling method, it is necessary to sample the continuous signal. Specifically, it is to discretize the continuous signal with the selected sampling function, and convert the continuous signal to the discrete signal. Commonly used sampling functions include rectangle function, trigonometric function and so on.

Perform signal recovery: The sampled discrete signal needs to go through the signal recovery step to restore it to a continuous signal. The commonly used signal recovery methods include interpolation and filtering. For example, the discrete signal obtained from linear sampling can be restored to continuous signal by interpolation method; The discrete signal obtained from peak sampling can be restored to continuous signal by filtering method.

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