Industry

Industry

We are driven by customer demands, and provide products for "intelligent connection, intellig✘ent acquisition, intelligent storage, intelligent calculation, intelligent control and intell↓igent display” and comprehensive solutions focusin✘g on “automation” and “informatization” in the indus←try.

Industry

Equipment Data Platform of LCD Panel Workshop

Publish Date:2021-04-23

Scheme Background

Demands and pain points of NewGen high-tech manufacturing enterprises;

•Apart from equipment data acquisition and establishment of unif♥ied equipment management, enterprises also wish to explore the deep value of data ∞through professional analysis of the equipment data
•Enterprises wish to establish a set of sophisticated equip'ment early-warning rules through data analysis, so as to transform passive inquiry into activ&e equipment “reporting"
•For the equipment allocated in various factories, the headquarters personnel wish to im'plement remote status inquiry and maintenance.

 

Requirements of Application Items

Item No.

Type

Requirements and Descriptions

 

1

Data acquisition

1. Field equipment mainly uses WiFi to transmit data, and other c™ommunication methods are also supported

2. Group management is adopted for equipment management

3. Data acquisition module adopts Modbus, MQTT protocol and industry ♠standard protocol, and reserves the development of transmissio♣n protocol

4. Data acquisition and transmission of third-party hardware are supported

5. Data acquisition frequency is customizable with a lower limit of 20 time≠s/s

 

2

Data storage

1. Real-time database: Oracle and Hadoop databases ar↕e maintained with IT approval, and data is saved for 1 year  

 

2. Historical data: IT’s Hadoop large database storage is adopted

 

3. The manufacturer is responsible for real-time database management, and IT →is responsible for assisting in monitoring operation and maintenance

 

3

Data application analysis

Report development platform and tools are provided; users develop the repor♠ts on their own, with no programming required

 

4

Machine learning

A variety of data models are provided to predict and analyze equipment failure/life, and at leaφst 5 kinds of machine learning applications are provided

R and python are reserved for customers to customize the development algorithm

 

5

Data presentation

1. Users can view reports through mobile clients such as the WEB and mobile phones

2. Abnormal information can be sent through IT’s Alarm Management Sys‌tem (AMS)

 

6

Data integration

(or system integration)

1. Transmit real-time data to FDC

2. Transmit historical data to Hadoop database (in minutes)

3. Transmit alarm information to AMS

 

 

Scheme Topology

 

Description of Scheme Value Points