控制模块 252721013AF 具有高性能、高精度、多通信接口等特点

SAGEMCOM 252721013AF 控制模块具有高性能、高精度、多通信接口、灵活编程、高可靠性和可扩展性强等特点，适用于各种高精度控制和监测应用。

SAGEMCOM 252721013AF 产品参数：

 通信接口：RS-232、RS-485、CAN

控制方式：Ladder 逻辑、C 语言、SFC

控制精度：16 位模拟输入，12 位模拟输出

输入通道数量：最多可扩展 256 个数字输入通道和 32 个模拟输入通道

输出通道数量：最多可扩展 256 个数字输出通道和 32 个模拟输出通道

执行速度：1ms 至 32ms

工作温度：-20℃ 到 +70℃

工作湿度：10% 到 90%

存储容量：512KB 闪存、256KB RAM

电源电压：DC 24V

外形尺寸：160mm x 90mm x 30mm

重量：约 300g

应用知名品牌的PLC、DCS系统备件模块不易寻找、停产备品备件、小金额，我们同样为您采购海量备货现货，为您节约成本，替您省钱，货期更火速

首先智能化技术不需要控制模型，之前的控制器在自动化控制的过程中因为控制对象繁琐复杂的动态过程而无法精准了解，促使对象模型的设计出现一些未知影响因素和参数等，导致最终设计出的模型无法准确控制系统。而智能化控制不需要事先设计对象模型，进而大大降低了未知影响因素出现的概率,

控制模块 252721013AF 具有高性能、高精度、多通信接口等特点

The SAGEMCOM 252721013AF control module features high performance, high precision, multiple communication interfaces, flexible programming, high reliability and scalability, and is suitable for a variety of high-precision control and monitoring applications.

SAGEMCOM 252721013AF Product Parameters:

Communication interface: RS-232, RS-485, CAN

Control mode: Ladder logic, C language, SFC

Control accuracy: 16-bit analog input, 12-bit analog output

Number of input channels: Up to 256 digital input channels and 32 analog input channels can be expanded

Number of output channels: Up to 256 digital output channels and 32 analog output channels can be expanded

Execution speed: 1ms to 32ms

Operating temperature: -20℃ to +70℃

Operating humidity: 10% to 90%

Storage capacity: 512KB flash memory, 256KB RAM

Power supply voltage: DC 24V

Overall dimensions: 160mm x 90mm x 30mm

Weight: About 300g

The application of well-known brands of PLC, DCS system spare parts module is not easy to find, discontinued spare parts, small amount, we also purchase mass stock for you, save costs for you, save money for you, the delivery time is faster

First of all, intelligent technology does not need to control the model. The previous controller cannot be accurately understood in the process of automatic control because of the complicated dynamic process of the control object, which causes some unknown influencing factors and parameters to appear in the design of the object model, resulting in the failure of the final designed model to accurately control the system. Intelligent control does not need to design the object model in advance, which greatly reduces the probability of unknown influence factors.