FBM233 P0926GX FOXBORO Input Digital Module Assembly

Description

FBM233

Two FBM233s can be used to implement a redundant Ethernet interface between the I/A Series system and single or dual-ported devices utilizing the Modbus/TCP communication protocol. Refer to PSS 21H-2Z33 B4.

Filtering the input signal is also one of the commonly used methods. When the analog signal fluctuates too quickly during signal transmission, resulting in ineffective logic response, a filter can be set to calculate the average value of the input signal and pass a smooth signal to the logic program. The filtering on the software is in the system block → input filtering → analog quantity.

To use software filtering, two concepts need to be understood, namely the number of samples and the dead band. The number of samples, as the name suggests, refers to the number of numerical values used to calculate the average value. PLC can set it to 2 exponential multiples, with a maximum increase of 256. Increasing the number of samples will stabilize the results but slow down the response, while vice versa. However, in some cases where the input value changes significantly, a dead zone needs to be set for quick response, and the dead zone range can be set to 16-4080. Deadband is the setting of a current average range (current average ± deadband). When the new value is input within this range, continue with the average calculation. If the new value exceeds this range, the average value will no longer be calculated, but will be directly set as the average value. This allows for a fast response even when the input signal changes significantly. Setting the dead zone value to 0 can disable the dead zone. After disabling, no matter how the input value changes, only the average value is calculated. (Note: Do not use analog filtering for modules that transmit digital information or alarm indications through analog words. AS-i master station modules, thermocouple modules, and RTD modules require that the CPU analog input filtering function be prohibited.).

A filter is an arithmetic mean filtering method, which adds N consecutive sampling values and takes their arithmetic mean as the filtering value for this measurement. It is very effective in filtering out random interference signals mixed with the measured signal. In addition, there are many filtering algorithms, such as median filtering and median averaging filtering, which require self programming.

PPC-R22.1N-T-Q1-NN-NN-FW
PPC-R22.1N-T-NN-P2-NN-FW
PPC-R02.2N-N-NN-NN-NN-FW
PPC907BE101
PPC907BE
PPC902AE01
PPC380AE01
PPC322BE
PPC-1561V-0501
PPC.R22.1N-T-Q1-P2-NN-FW
PP877
PP865A-3BSE042236R2
PP865A
PP865 3BSE042236R1
PP865
PP846A 3BSE042238R2
PP846A
PP846
PP845A