家电

Other Standardized Industrial

Software and Hardware

Predictive Maintenance of

General-purpose Equipment

Customized Data Mining

and Analysis Services

Guarding the Full Cycle of

Enterprise Digital Transformation

Applicable to Scenarios Such as 

Energy Storage & Battery Swapping Station

Feasible Energy Saving Solutions for Enterprises

in High Energy Consumption Industries

Interested in this?

D

DATA MINING & DATA ANALYSIS

Datengewinnung & Das ist eine datenanalyse.

Through data cleaning, modeling and analysis, valuable information contained in the data is found and universal rules are extracted to provide the optimal path for decision makers in optimizing production scheduling and mechanical operation. On the basis of realizing the above final goal, it also achieves the effect of data quality management, data security management, metadata management, etc.


Basic Services &  Analysis Algorithms  -

instrumentation

Real-time state

workshop

analysis suite

products

equipments

materials

utility-type unit

Data collection

Real-time acquisition of monitoring parameters for each device and additional sensors

IIoT

Through RFID/QR code and other technologies to achieve the production workshop machine interconnection

Data statistics

Cleaning, screening, sorting and categorizing a large number of chaotic structured and unstructured production data

Data mining

Find out valuable hidden information from massive production data to help management make prediction

Optimization of operations

Optimization of scheduling,  realize predictive maintenance, and so on

MODULIZATION OF FENXI DATA SERVICES / Ein modulare datendienst

|| Application Case: Charging pile quality inspection analysis software and algorithm

The situation of charging pile damage and failure often occurs, and there will be charging pile failure to charge but deduction of fees. In this context, Fenxi launched charging pile quality inspection & analysis software & algorithm to monitor as well as maintain the quality and safety of charging piles throughout the cycle from the production process to operation and charging process. 

① Analyze the charging and pre-charging of the charging pile during actual operation, and monitor abnormal charging

②Data visualization, historical documents can be traced, easy to manage and subsequent optimization

③Efficient and energy-saving analysisi process and detection,and algorithms backed by a lot of real data

|| Other Application Cases

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