ABB XVC770BE102 3BHE021083R0102 Tension Sensor

ABB XVC770BE102 3BHE021083R0102

Technical Parameters

1. Product structure: rail-type, desktop, embedded
2. communication interface: 3-way RS232 or 485 serial port
3. Serial port rate: 300~9600bps
4. Communication error code: ≤ 10-4
5. Operating environment: temperature: -20 ~ 70 ℃; humidity: ≤ 95% non-condensing; non-corrosive, non-explosive environment
6. Power supply: 10-30V DC
7. Module Power Consumption: Standby Power Consumption: 1W, Transmit Power Consumption: 2W.

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Description

ABB XVC770BE102 3BHE021083R0102 Tension Sensor


ABB XVC770BE102 3BHE021083R0102 supports historical data storage and trend display functions. Historical databases are typically generated by users through screen editing and compilation techniques without the need for programming. This file defines the structure and scope of each historical data record. In historical databases, data is generally divided into groups, with the same data type and sampling time within each group. Define the relevant information of each data point during generation. The report printing function is also configured through the report generation section in the configuration software, and different DCS have significant differences in the report printing function. Generally speaking, DCS supports two types of report printing functions: periodic report printing and trigger report printing. Users can generate different report forms according to their needs and preferences. In actual process control systems, systems based on PID control technology account for more than 80%. The use of PID circuits plays a crucial role in achieving smooth, efficient, and high-quality operation of the device. DCS manufacturers use this as a powerful competitive advantage to seize the market and develop their own PID self-tuning software.

The biggest feature of ABB XVC770BE102 3BHE021083R0102 in control is the flexible configuration of various control and operation modules, which can achieve diversified control strategies to meet the needs of different situations, making the implementation of complex and cumbersome propositions in unit combination instruments simple. With the demands of high flexibility and efficiency put forward by enterprises, control schemes based on classical control theory are no longer suitable. After the proposal and successful application of advanced control strategies represented by multivariable predictive control, advanced process control has received widespread attention in the process industry. It should be emphasized that the widespread application of various advanced control and optimization technologies is the most effective, direct, and valuable development direction for exploring and improving the comprehensive performance of DCS. In addition, based on the control function of DCS, various improved algorithms can be developed on the basis of the basic PID algorithm to meet the various needs of actual industrial control sites, such as PID control with dead zone, integral separation PID control, differential first PID control, incomplete differential PID control, PID control with logic selection function, and so on.