The laboratory intelligent monitoring system of Sinovite combines Internet of Things technology and information technology with modern management, achieving the precursor of research-level management informatization, in order to achieve the normal operation of laboratory management equipment resources and maintenance equipment, thereby improving work efficiency. In recent years, the company has continuously expanded and deepened its business, providing professional laboratory intelligent testing systems in industries such as petrochemical, non-ferrous metals, food and beverage, pharmaceutical, medical, etc., helping users continuously optimize equipment management and cost control, improving automation levels in business, and drawing on international advanced management concepts to help users achieve internationally leading management levels in management.
Challenges faced by users
Laboratory equipment
Before the absence of an intelligent IoT management system:
The operating status of the device cannot be monitored, whether the device is in use after startup cannot be monitored, and energy consumption is severely wasted.
Experimental personnel cannot predict when the equipment will be idle and when they can conduct their own experiments.
After the preliminary preparation of the experiment, it was found that the equipment was occupied, resulting in waste of personnel and consumables.
The current operating load situation of laboratory equipment is difficult to grasp, and there is no scientific decision-making basis for equipment procurement (which equipment is overloaded? Which equipment has a low usage rate?).
After the establishment of an intelligent IoT management system:
Capable of monitoring idle, in use, idle, and other states, helping experimental personnel clarify the equipment situation. When the equipment is idle, personnel can be arranged to shut down the equipment in a timely manner, and idle equipment can be found at any time, avoiding waste of manpower and consumables, and improving equipment utilization rate.
When proposing procurement requirements, it is possible to assist in procurement decisions by reviewing equipment usage and idle rates, reducing unnecessary procurement.
Laboratory consumables
Before the intelligent IoT system:
The annual procurement volume of consumables is large, and it is difficult to evaluate whether the use is reasonable.
After the experiment preparation was completed, it was found that the inventory of consumables was insufficient, and it was necessary to wait for the procurement of consumables. Human resources and equipment needed to wait, resulting in resource waste.
The utilization rate of high value consumables cannot be evaluated, and whether it is reasonably utilized (experimental consumption of consumables, equipment consumption of consumables) lacks full lifecycle management.
With the intelligent IoT system:
Supervise the consumption of consumables, clearly know the usage cycle and time of consumables, and avoid excessive consumption and waste of consumables by laboratory personnel.
Monitor the inventory status of consumables at any time, set up reminder points for consumables inventory, and timely purchase after reaching the inventory reminder point to avoid waiting for human resources and equipment.
Laboratory operation status
Before the intelligent IoT system:
The laboratory and group management lack effective monitoring tools for laboratory operation (such as instrument and equipment usage, experimental conditions, consumables usage, human-machine matching, etc.).
Lack of effective evaluation tools for laboratory operating costs and performance.
Lack of auxiliary tools and basis for scientific management decision-making.
With the intelligent IoT system:
Greatly reduce laboratory operating costs, and pay comprehensive attention to the use of laboratory equipment, personnel, and consumables through intelligent IoT systems, helping decision-makers make correct decisions.
