1, monitoring the whole process of special equipment, from registration, using to scrap supervision.
2, to realize the information reaction and sharing of relevant units including supervision organization, using unit, inspection units, training institutions and administrative examination and approval unit.
3, the digitization and standardization of inspection agency report. Inspection result will automatically generate based on device testing parameters and parameters template. the automatically generated test report will be more standardized. the inspection results will be clear and unequivocal.
4 intelligent management of the historical inspection data. Listing will-be-inspected equipment historical problems to effective monitor major hazards and major hidden danger.
5, rich statistical analysis function, it can make all kinds of data statistics convenient.
6, standardizing various management processes, clear division of labor, providing the basis for the all levels of effective control, to improve the level of management.
7, within the system providing a unified communication and sharing platform, strengthening mutual cooperation between higher and lower levels, departments and departments, employees and employees and improving the working efficiency.
8, the early warning management of special equipment.
According to the relevant laws and regulations, to one month in advance to prepare inspection of special equipment. But in actual situation due to various reasons, the using unit always forgets the inspection date and continues to use.
9, dynamic, real-time understanding of equipment's overall condition in the jurisdictions.
10, text messages to inform relevant personnel about the equipment information of warning management.
11, rich statistical query function.
(1) the whole city special equipment list
(2) special equipment classification statistics
(3) special equipment types analysis
(4) special equipment operating personnel statistics
12, each inspection process can be recorded on the computer. managers can query each task execution process and statistic data in order to formulate effective management methods.
13, dynamic tracing of early warning processing.
14, enterprise bad record query
