Intelligent early warning system app
v1.0
1. The details and processing status of each maintenance can be recorded on the system to facilitate subsequent inquiries and analysis;
2. It also provides data analysis functions, which can conduct real-time analysis of equipment operating data;
3. The system can also make maintenance predictions based on the analysis results and formulate maintenance plans in advance.
1. Understand the health status and risk level of the equipment to avoid equipment failure due to improper maintenance;
2. Greatly simplifies the work process of equipment management and improves work efficiency;
3. Effectively prevent equipment failures through functions such as automatic abnormality warning, maintenance record management, and data analysis.
1. Help administrators formulate maintenance plans in advance to avoid equipment failures that affect production;
2. Help engineers detect possible anomalies more quickly, thereby improving work efficiency and equipment reliability;
3. Tools designed based on big data, Internet of Things and artificial intelligence technologies provide necessary information and data.
1. It has functions such as automatic equipment abnormality warning, maintenance records and data analysis, simplifying work processes and improving efficiency;
2. Through real-time monitoring of equipment, the system can automatically capture signals of abnormal equipment operation and immediately provide early warning to users;
3. The early warning function can help enterprises discover potential problems more quickly and take corresponding measures to solve problems earlier.
