VIP member
Central control industrial big data intelligent analysis software
Product Overview: By building industrial AI application development software that covers the entire lifecycle from data to services, we promote big da
Product details
product overview
By building industrial AI application development software that covers the entire lifecycle from data to services, we promote big data and artificial intelligence technologies to empower industrial enterprises. InPlant IBD integrates multiple data sources through multi-source heterogeneous data interfaces, utilizes big data components to access massive amounts of data, implements data analysis and modeling through algorithm libraries, and creates rich applications using application development engines to adapt to different scenarios.
Product characteristics
Production and consumption forecast
Dynamically predict the trend of changes in important industrial production and consumption indicators through time series prediction models, and enhance regulatory capabilities.
Process warning
By utilizing process mechanisms, knowledge driven big data, and AI algorithm models, dynamic early warning of process parameters can be achieved to assist engineers in quickly identifying problems.
fault diagnosis
Establish a fault sample library and achieve autonomous analysis and diagnosis of equipment faults through real-time comparison of equipment status and fault samples.
Quality traceability
By establishing a time series correlation model between product quality and process parameters, a product quality traceability chain is established to identify quality defect bottlenecks and reduce the rate of defective products.
intelligent control
Integrating machine learning, control theory, and operational experience to build a multi driver control method that solves scenarios that conventional control cannot handle.
Operation optimization
Generate an operation case library through machine learning models and extract operation trajectories based on the best cases, providing optimization directions for subsequent control of similar working conditions.
intelligent decision
Quickly extract key information from massive data, model and quantify business objectives and decision-making experience, and achieve intelligent decision-making assistance for enterprise production and operation.
scheduling optimization
By linking the device model with the benefit model, dynamic optimization scheduling is carried out with the goals of high yield, high quality, and low consumption, achieving optimized and efficient operation of the factory.
Online inquiry
-
Contacts
-
Company
-
Telephone
-
Email
-
WeChat
-
Verification Code
-
Message Content
-