AO2000 LS25 Multifunctional control board

Product parameters

Model: AO2000 LS25

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

AO2000 LS25 is mainly used in the field of industrial automation, such as DCS PLCs, industrial controllers, robots, etc.

AO2000 LS25 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: AO2000 LS25 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 AO2000 LS25 correctly on the device and connect the communication interface cable properly.

Please refer to the user manual for operating AO2000 LS25 to ensure proper use.

Product Introduction

AO2000 LS25 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.

Display operation panel IMRAO02
Display operation panel IMRAO02
Display operation panel IMRAI12
Display operation panel IMRAI12
Display operation panel IMRAE12
Display operation panel IMRAE12
Display operation panel IMQRS22
Display operation panel IMQRS22
Display operation panel IMQRS12
Display operation panel IMQRS12
Display operation panel IMQRS02
Display operation panel IMQRS02
Display operation panel IMPCC01
Display operation panel IMPCC01
Display operation panel IMMPI02
Display operation panel IMMPI02
Display operation panel IMMPI01
Display operation panel IMMPI01
Display operation panel IMMPI01
Display operation panel IMMPI01
Display operation panel IMMPI01
Display operation panel IMMFP12
Display operation panel IMMFP12
Display operation panel IMMFP12
Display operation panel IMMFP12
Display operation panel IMMFP12
Display operation panel IMMFP12
Display operation panel IMMFP11
Display operation panel IMMFP11
Display operation panel IMMFP03B
Display operation panel IMMFP03B
Display operation panel IMMFP03
Display operation panel IMMFP03
Display operation panel IMMFP03
Display operation panel IMMFP02
Display operation panel IMMFP02
Display operation panel IMMFP02
Display operation panel IMMFP01
Display operation panel IMMFP01
Display operation panel IMMFC05
Display operation panel IMMFC05
Display operation panel IMMFC04
Display operation panel IMMFC04
Display operation panel IMMFC03
Display operation panel IMMFC03
Display operation panel IMLMM02
Display operation panel IMLMM02
Display operation panel IMHSS13
Display operation panel IMHSS05
Display operation panel IMHSS03
Display operation panel IMHSS03
Display operation panel IMHSS03
Display operation panel IMHSS03
Display operation panel IMHSS02
Display operation panel IMHSS02
Display operation panel IMFECI2
Display operation panel IMFEC12
Display operation panel IMFEC12
Display operation panel IMFEC12
Display operation panel IMFEC12
Display operation panel IMFEC12
Display operation panel IMFEC12
Display operation panel IMFEC11
Display operation panel IMFEC11
Display operation panel IMFCS01
Display operation panel IMFCS01
Display operation panel IMFBS01
Display operation panel IMFBS01
Display operation panel IMFBM01
Display operation panel IMFBM01
Display operation panel IMFAI02
Display operation panel IMFAI02
Display operation panel IMFAI01
Display operation panel IMFAI01
Display operation panel IMDSO15
Display operation panel IMDSO15
Display operation panel IMDSO14
Display operation panel IMDSO14
Display operation panel IMDSO14
Display operation panel IMDSO14
Display operation panel IMDSO05
Display operation panel IMDSO05
Display operation panel IMDSO04
Display operation panel IMDSO04
Display operation panel IMDSO03
Display operation panel IMDSO03
Display operation panel IMDSO02
Display operation panel IMDSO02
Display operation panel IMDSO01