1.'Senses' all over, all-round perception
132 33 kV transformer, monitoring relied on manual inspections and basic instruments, which have now been replaced by various sensors. Thermometers can accurately detect the temperature of hotspots and different parts of the iron core; gas sensors can continuously sniff out fault gases in the oil, providing timely warnings for internal hazards; stethoscopes capture anomalies through vibrations and sounds; oil level gauges and humidity meters constantly monitor oil levels, oil pressure, and moisture; high-precision current and voltage meters accurately monitor the load. These sensors act as 'eyes' and 'ears', providing 24-hour health monitoring for transformers.
2.Intelligent 'brain', data-driven decision-making
The data collected by the sensors are transmitted to the 'brain' of the intelligent analysis system. Not only can it learn the normal operating status of the transformer, but also comprehensive multi-dimensional data in-depth analysis, through the trend prediction 132 33 kv transformer health trend. Once the potential risk is found, it will accurately locate the fault point and risk level, realising the leap from 'repair after the fact' to 'prevention before the fact'.
3. Flexible and Intelligent, Self-regulation and Consumption Reduction
The cooling system no longer relies solely on the top oil temperature control, but integrates the winding temperature, load, ambient temperature and electricity price information, and intelligently starts and stops the fan and oil pump. This flexible adjustment not only ensures the safe operation of the equipment, but also saves energy and reduces consumption, prolonging the service life of the transformer (including 132 33 kv transformer).
4. Scientific maintenance, customised strategy according to needs
The traditional timed maintenance model has been abandoned, now based on the transformer 'health status report' custom maintenance programme. When in good condition, the cycle is extended, and when there are hidden problems, intervention is made in advance, so as to realise the efficient use of resources and save costs and time.