Qin Jun
Qin Jun (Shanghai) Industrial Co., Ltd
Qin Jun (Shanghai) Industrial Co., Ltd (hereinafter referred as to Qin Jun) has been committed to the research & development of the equipment management technology for chain business format, as well as undertaken and accomplished the construction & operation of large-scale monitoring platform projects for multiple industries. Aside from integrating refrigeration warehouse, refrigeration wagons, small & medium-sized refrigeration equipment and whole-process monitoring system for cold-chain as well as services, Qin Jun builds and improves the equipment comprehensive management service integrated by 16 sets of subsystems. In addition, it strives to forge a more sophisticated data analysis application and alarm management system. By providing premium services and products for the clients such as medical logistics, chain supermarkets and department stores, as well as disease control & prevention centers, Qin Jun has become the first choice supplier of numerous clients in multiple industries.
Marketing Position
As a propelling force of cold-chain subdivision industry, Qin Jun is focused on temperature monitoring and control, and aimed at providing the most reassuring cold-chain segment for the medical and food industries.
Role & Mission
As the first batch of cold-chain monitoring enterprises on the basis of the Internet of Things, Qin Jun, based on its team’s perspectives as a whole and its ideas of humanization, endeavors to propel the cold-chain industry in forming its own standards and drive the Chinese cold-chain standards to internationalization.
Expectation
Qin Jun has been expecting to work closely with the entrepreneurs and the investors in cold-chain industry as well as governments in pursuit of forging a healthy and benign cold-chain ecosystem.
Products & Services Highlighted
SmartCare System
Used for actual monitoring over the facilities’ management, SmartCare sets its targets on small & medium-sized store entities and property enterprises. Based on its monitoring over the running state of equipment and facilities, and its inspection, repairs warnings as well as management over assets, SmartCare helps clients improve the timeliness of maintaining and repairing store facilities, realize the traceability of repair records, hoist the operational efficiency and prolong the service life of equipment.
CoolCare System
Used for real-time monitoring and exquisite management over the temperature and humidity of the freezers and refrigerator wagons, CoolCare System guarantees the safety and quality of goods. With real-time alarm warning function, CoolCare System is able to conduct pre-judgment before alarm, send alarm texts to designated cell phone, as well as upload and file the measures in response to alarms. Based on data analysis, the system makes predictions about the trend and abnormity of temperature. Moreover, CoolCare System can automatically generate stats and analysis reports, which help learn about the weekly problem-solving feedback and the time spent responding to problems etc.
Qin Jun Lab
Double-Layer Crossover Link Technology
The R& D Team of Qin Jun adopted “local repeater station-central server” double-layer crossover link technology, which applies to scale measurement point and key object and enables CoolCare System to achieve the high reliability, timeliness and safety of data and alarms.
High-capacity Data Caching Technology
The technology is applied to mobile targets such as refrigerator wagons, and able to monitor the moving targets even at the moment when the targets cross the area of bad signal.
Alarm Forecasting Technology
By analyzing the data monitored, the technology is able to inform the operator involved of giving necessary attention before alarm warning, thereby helping users to remove latent risks caused by abnormal running of equipment.
Technology for Data Mapping Against Temporal Axis
In guarantee of the original properties of the data monitored, the technology can help mark the generation of the data monitored according to GPS clock, thus recording the data. In this way, the stats and analysis on the data can be conducted more conveniently.
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