Product Introduction
Oil analysis can help users detect early signs of equipment wear and determine the source of corrosion. On site oil analysis eliminates the drawbacks of spending time sending samples and enables users to make timely decisions.
MiniLab33Artificial Intelligence Oil Monitoring LaboratoryComprehensive on-site oil analysis can be conducted and action oriented test results can be provided, which can save time and reduce costs. This system:
By using only one system, analysis can be conducted on industrial sites, achieving the same results as laboratory analysis.
1The workflow is simple and does not require professionals;
2Based on the "Three Vector Analysis Method" and the "AMS Oilview Equipment Management System", the analysis results are simple and easy to understand.
1、 Product Features
MiniLab 33Artificial Intelligence Oil Monitoring LaboratoryThe available oil condition information and equipment information include viscosity, chemical properties, water, and total ferromagnetic particle measurements including normal and abnormal wear.
2、 Three Vectors - Simple Representation of Oil and Equipment Health Status
Three vectors are a simple representation of the integrity of the lubrication system and the health status of the equipment. Three vectors can indicate the health level of each vector. In order to better understand the three vectors, it is necessary to detect the main physical and chemical indicators of the oil.
The "three vector" analysis method can answer the following questions:
| Measurement project | Grain analysis ASTM D8120 method | viscosity ASTM D8092 method | Oil state analysis ASTM D7889 method | |
| Oil contamination | Particle counting and ISO cleanliness level | |||
| Non metallic particle counting, distribution, and imaging | ||||
| Analysis of boron, calcium, sodium, lithium, potassium, and silicon elements | ||||
| water | V | |||
| Oil aging | viscosity | V | ||
| Total Acid Number (TAN) | V | |||
| Oxidation degree | V | |||
| Total base number of the engine(TBN)Oxidation degree, nitrification degree, sulfurization degree | V | |||
| Analysis of Copper, Magnesium, Calcium, Barium, Zinc, Molybdenum, and Phosphorus Elements | ||||
| Equipment wear and tear | Image, quantity, and distribution of particles | |||
| Concentration of ferromagnetic particles,ppm | V | |||
| Total number and size distribution of ferromagnetic particles | ||||
| Copper, silver, chromium, titanium, aluminum, magnesium, nickel, iron, manganese, lead, tin, molybdenum, cadmium, vanadiumElemental analysis |
IIIOilview LIMS Equipment Management Database System
Minilab33 Oil Monitoring SystemUse AMS OilView LIMS module for operation and control.
1. The software has built-in expandable device management database and oil sample database.
2. It can automatically generate standard report templates, set report templates by oneself, and automatically notify detection results and alarms via email.
3. Automatically generate color detection reports, annotate abnormal data in color (red and yellow), and make the detection results clear at a glance.
4、 Target application areas
The MiniLab33 oil monitoring system is widely used in the following industries:
1. Power plants;
2. Pulp and paper;
3. Industrial manufacturing;
4. Metallurgy.
5、 Typical equipment alarm line
The backup manufacturer provides alarm values for specific parameters.
6、 Accessories&Consumables
1. Sample preparation only requires one step
Shake the sample evenly with a homogenizer for better measurement of moisture content.
2. Minlab33 consumables:
Clean cotton paper, suction head, sample bottle for homogenization, sample bottle for iron analyzer, and lubricating grease injection device;
To ensure the accuracy and stability of the experimental results, please use the original factory standard consumables from Speechao Company.
