Description
DSCA190V 57310001-PK Использование параметров ABB
CC – Link и другие. Каждый слот IO может быть выбран автономно в соответствии с потребностями клиента, а один модуль поддерживает до 16 каналов.
Технологии основаны на инновацияхDSCA190V 57310001-PK Предоставление клиентам высококачественных и надежных продуктов всегда было постоянным стремлением к нулю.
Давайте посмотрим на его инновации и различия с предшественниками: с жидкокристаллическим дисплеем, вы можете увидеть параметры связи, состояние канала IO,
информацию о версии модуля и так далее; DSCA190V 57310001-PK Отладка и обслуживание более интуитивно понятны; ABS огнестойкая пластиковая оболочка, небольшой размер,
легкий вес, с использованием совершенно новой пряжки монтажной карты, установка более прочная и надежная.
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.
PFTL101BER acid resistant type pillow block tension meter horizontal load cell
PFTL101B horizontal load cell for pillow block tensiometer
PFTL101BE horizontal load cell for pillow block tension meter
PFTL101AER Acid resistant type pillow block tension meter horizontal load cell
IMHSS03 ABB Inverter Spare Parts
PFTL101A pillow block tension meter vertical load cell
PFTL101AE pillow block tension meter vertical load cell
PFCL201CD/CE pillow block tension meter vertical load cell
IMHSS03 ABB I/O module backplane
PFCL 201C pillow block tension meter vertical load cell
T9110 ICS TRIPLEX Processor Module
T9110 controller module
PM510V16 ABB PLC module
PM510V16 3BSE016240R1 DCS spare parts
5SHY4045L0006 3BHB030310R0001 igct module
CMA136 3DDE300416 ABB Servo Control Module
CMA136 3DDE300416 host controller board
PFTL101A 2.0KN 3BSE004172R1 ABB pillow sensor
3BSE004172R1 ABB load cell
DSMB-02C ABB sensor power supply
DSMB-02C 3AFE64666606 ABB ethernet adapter
SCYC55830 Ethernet I/O communication template
SCYC55830 58063282A DC Drive Power Board
3BSE003127R1 ABB driver module
DSAI130D 3BSE003127R1 TDI S100 I/O Module
PM861K01 Servo Control Module
PM861K01 3BSE018105R1 PID Controller Module
3BSE014078R1 ABB Inverter trigger board
3BSE050091R20 ABB Oscilloscope adapter
3BSE050091R20 PFEA112-20 ABB Communication control panel
TRICONEX 3481 Triple Modular Redundant Controller
3481 TRICONEX Analog interface board
S20360-SRS Electronic control unit
S20360-SRS KOLLMORGEN Control module spare parts
MSPC-6886/6800 MSPC Servo control panel
3BSE042238R1 ABB LCM liquid crystal module
PP846 ABB Governor motherboard
PP846 3BSE042238R1 ABB CNC system key panel
05701-A-0512 SIEGER Electronic components and components
60M100-00 BENTLY Main control panel
60M100-00 BENTLY Servo drive driver
PR6423/010-140 Servo drive driver
PR6423/010-140+CON021 Pulse encoder interface module
Reviews
There are no reviews yet.