English
Operate professional software to realize equipment diagnosis and analysis: monitor unit status evaluation; Fault equipment diagnosis and analysis; Maintenance unit startup evaluation
Predictive maintenance of equipment
Through on-line equipment monitoring, combined with big data AI analysis, master the health status of the equipment in real time, find out the hidden dangers of the equipment in time, reduce the production loss caused by equipment failure, reduce the maintenance cost, improve the operation rate of the equipment, and make the equipment operate safely and reliably.
Real time monitoring
Understand the equipment health status in real time and predict the future development trend
Intelligent early warning
通过设备在线监测，结合大数据AI分析，实时掌握设备健康Through on-line equipment monitoring, combined with big data AI analysis, master the health status of the equipment in real time, find out the hidden dangers of the equipment in time, reduce the production loss caused by equipment failure, reduce the maintenance cost, improve the operation rate of the equipment, and make the equipment operate safely and reliably.降低维修成本，提高设备的运转率，使设备运行安全可靠。
Self diagnosis
According to the equipment fault model and expert knowledge base, the fault type is automatically judged
On demand maintenance
Make a predictive maintenance plan in advance to determine when the machine should be repaired
Design purpose
目标用户
Professional engineer
Maintenance Engineer
Equipment management
Based on the full-dimensional collection of equipment data such as temperature, spectrum and video, it covers the full-dimensional predictive operation and maintenance of process, machinery and electricity
Business architecture
Equipment modeling
Online monitoring
State evaluation
Alarm management
fault diagnosis
Rule knowledge base
Equipment account
Patrol management
defect management
Equipment maintenance
equipment maintenance
Equipment analysis
Equipment modeling
Online monitoring
State evaluation
Alarm management
fault diagnosis
Rule knowledge base
Equipment account
Patrol management
defect management
Equipment maintenance
equipment maintenance
Equipment analysis
Core functions
Product highlights
Control the equipment status in real time so that the decision can be based on
24-hour remote real-time online monitoring to reduce personnel workload
Rolling prediction of component life cycle to improve component utilization
Predict the failure in advance and reasonably arrange the maintenance plan according to the equipment status
Understand the equipment status in real time to reduce the huge losses caused by unplanned downtime
Accurately locate the fault causes, reduce the workload of maintenance personnel and reduce the pressure of operation and maintenance
Planned maintenance time
%
%
~
Total equipment maintenance cost
%
≥
.
Equipment running time
%
%
~
Value benefit
Service process
1
2
3
4
5
Enterprises obtain stable income
Building energy management system
Installing intelligent hardware
Custom energy solutions
Product consultation
Since 2012, Nanjing Kaisheng intelligent manufacturing R & D team has established a data model and business model in line with the cement industry after a lot of research and repeated exploration, and passed the CMMI3 (Capability Maturity Model lntegration, i.e. three-level software capability maturity integration model) certification. Develop an intelligent production system with independent intellectual property rights and more suitable for cement process enterprises
Cement industry and equipment management
classic case
IOS version
Android version
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