YPK112A Interface Controller

Product parameters

Model: YPK112A

Brand: ABB

Size: 10cm x 10cm x 30cm

Weight: 1.2KG

Color: White Black

Working voltage: 5V

Working temperature: -10 ℃ to 50 ℃

Communication interface: RS232, RS485, CAN

Product specifications

Support for MODBUS protocol

Support hardware flow control

Using high-speed CMOS devices

Support for data caching

application area

YPK112A is mainly used in the field of industrial automation, such as DCS PLCs, industrial controllers, robots, etc.

YPK112A is mainly used in steel manufacturing, thermal power generation, hydroelectric power generation, glass manufacturing, paper mills, cement factories, petrochemicals

Chemical fiber, pharmaceutical manufacturing, rubber, plastics, ferrous metal food, machine tools, specialized equipment, transportation vehicles, mechanical equipment

Electronic communication equipment, instruments and beverages, tobacco processing, clothing, textiles, leather, wood processing, furniture, printing, etc

Model: YPK112A Brand: ABB Archive Function: Communication Function Product Certification: Qualified

Working voltage: 24V Internal variable: No pattern Type: Vector diagram Applicable range: Industrial type

Number of screens: 4 Imported or not: Yes Customized for processing: No

Alarm function: Product name: Module Input voltage: 24V Rated current: 5A

Special service: including postage. Remarks: one-year warranty. Operation method: remote control

Applicable motor: servo motor system memory: 8MB Display color: 99.9 color gamut

Power voltage: 220V Input method: Current Input Material code: 65218

Communication interface: HDMI interface Working temperature: 60 Material number 26854 Other functions Analog communication

Output frequency: 50HZ Rated voltage: 24V Alarm type: Light alarm

Disconnect capacity: 0.01 Vector graph support: Minimum number of packages supported: 1

Display type: IPS USB interface quantity: 2 interfaces Memory card slot: 2

Panel protection level: 3 Memory expansion capacity: 128MB User script support: supported

Speed response frequency: 1MS Working environment temperature: -40 to 100 Insulation withstand voltage test: Passed

Third party communication products: ABB controllers available for sale in: nationwide

Product Instructions

Please install YPK112A correctly on the device and connect the communication interface cable properly.

Please refer to the user manual for operating YPK112A to ensure proper use.

Product Introduction

YPK112A is a high-performance industrial automation communication module that uses high-speed CMOS devices, supports MODBUS protocol, and supports
hardware flow control. It is an ideal choice in the field of industrial automation.

2 Leveraging big data tool chains

After the data collected from the manufacturing product value chain is stored in the database, a data analysis system is required to analyze the data.
The manufacturing data analysis system framework is shown in Figure 1. Data is first extracted, transformed, and loaded (ETL) from different
databases into a distributed file system, such as Hadoop Distributed File System (HDFS) or a NoSQL database (such as MongoDB). Next,
machine learning and analytics tools perform predictive modeling or descriptive analytics. To deploy predictive models, the previously mentioned tools
are used to convert models trained on historical data into open, encapsulated statistical data mining models and associated metadata called Predictive
Model Markup Language (PMML), and Stored in a scoring engine. New
data from any source is evaluated using models stored in the scoring engine [9].

A big data software stack for manufacturing analytics can be a mix of open source, commercial, and proprietary tools. An example of a
manufacturing analytics software stack is shown in Figure 2. It is known from completed projects that existing stack vendors do not currently
offer complete solutions. Although the technology landscape is evolving rapidly, the best option currently is modularity with a focus on truly distributed
components, with the core idea of ​​success being a mix of open source and commercial components [10].

In addition to the architecture presented here, there are various commercial IoT platforms. These include GE”s Predix ( www.predix.com ), Bosch”s IoT
suite (www.bosch-iot-suite.com), IBM”s Bluemix ( www.ibm.com/cloud-computing/ ), ABB based on Microsoft Azure IoT services and people platform
and Amazon’s IoT cloud (https://aws.amazon.com/iot). These platforms offer many standard services for IoT and analytics, including identity management and data
security, which are not covered in the case study here. On the other hand, the best approaches offer flexibility and customizability, making implementation
more efficient than standard commercial solutions. But implementing such a solution may require a capable data science team at the implementation site.
The choice comes down to several factors, non-functional requirements, cost, IoT and analytics.

Excitation system ABB module ITCTU05
Excitation system ABB module ITCTU04
Excitation system ABB module ITCTU03/11
Excitation system ABB module ITCTU03
Excitation system ABB module IT94-3 HESG440310R2 HESG112699/B
Excitation system ABB module IPSYS01
Excitation system ABB module IPSYS01
Excitation system ABB module IPSYS01
Excitation system ABB module IPS21-35AD
Excitation system ABB module IPMON01
Excitation system ABB module IPMON01
Excitation system ABB module IPFLD48
Excitation system ABB module IPFLD24
Excitation system ABB module IPFLD125
Excitation system ABB module IPFLD01
Excitation system ABB module IPFCH01
Excitation system ABB module IPFAN14
Excitation system ABB module IPFAN13
Excitation system ABB module IPFAN12
Excitation system ABB module IPFAN11
Excitation system ABB module IPESW11
Excitation system ABB module IPECB13
Excitation system ABB module IPECB11
Excitation system ABB module IPCHS02
Excitation system ABB module IPCHS01
Excitation system ABB module IPBLK01
Excitation system ABB module IPBLC01
Excitation system ABB module INTKM01
Excitation system ABB module INSPM01
Excitation system ABB module INSOE01
Excitation system ABB module INSIM01
Excitation system ABB module INSEM11
Excitation system ABB module INSEM01
Excitation system ABB module INSCS01
Excitation system ABB module INPTM01
Excitation system ABB module INPPT01
Excitation system ABB module INPCT01
Excitation system ABB module INPCI02
Excitation system ABB module INPCI01
Excitation system ABB module INPBS01
Excitation system ABB module INNTP01
Excitation system ABB module INNPM22
Excitation system ABB module INNPM22
Excitation system ABB module INNPM22
Excitation system ABB module INNPM22
Excitation system ABB module INNPM12
Excitation system ABB module INNPM12
Excitation system ABB module INNPM12
Excitation system ABB module INNPM11
Excitation system ABB module INNPM01
Excitation system ABB module INNIS21
Excitation system ABB module INNIS21
Excitation system ABB module INNIS21
Excitation system ABB module INNIS11
Excitation system ABB module INNIS11
Excitation system ABB module INNIS11
Excitation system ABB module INNIS01
Excitation system ABB module INNIS01
Excitation system ABB module INNIS01
Excitation system ABB module INLIM03
Excitation system ABB module INLIM02
Excitation system ABB module INIT03
Excitation system ABB module INIT03
Excitation system ABB module INIPT02
Excitation system ABB module INIPT01
Excitation system ABB module INIIT14