Transformer oil level and temperature monitoring system and applications

Core components

• Sensor module: oil level sensor (capacitive, float type) to collect oil level data, oil temperature sensor (platinum resistance, thermocouple) to collect temperature data to ensure data accuracy.
• Data Transmission Module: Transmit data via wired (RS485, Ethernet) or wireless (LoRa, NB-IoT) to adapt to different installation scenarios.
• Monitoring terminal module: display real-time data, set threshold alarms, support historical data query and report generation, convenient for operation and maintenance management.

core functionality

• Real-time monitoring: 24-hour continuous data collection, update frequency up to seconds, no data lag.
• Abnormal warning: When the data exceeds the threshold value (e.g. oil temperature exceeds 85℃, oil level is lower than the lowest scale), sound and light alarm will be triggered immediately.
• Data traceability: Store historical operation data, support query by time, provide basis for fault analysis.
• Remote monitoring: through mobile APP or computer client, off-site check the status of the equipment to improve the efficiency of operation and maintenance.

applied value

• Failure prevention: Avoid accidents such as insulation failure due to low oil level and equipment burnout caused by high oil temperature.
• Reduce costs: Reduce the frequency of manual inspection, reduce operation and maintenance labor costs, and extend the service life of the transformer.
• Compliance with standards: meet the power industry equipment operation monitoring standards to ensure the stability of the power supply system.

Typical applications in the power industry

1. Extra-high voltage substations:

• technical program: Acoustic echo type oil pillow level monitoring sensor + temperature sensor combination
• Application Features: First application of acoustic echo technology in an ultra-high voltage substation, non-contact measurement, avoiding intrusion into the oil tank to affect the insulation
• Effectiveness of implementationReal-time collection of oil level and temperature data, automatic warning of anomalies, reducing the frequency of manual inspections 70%, improving data accuracy by 5 times

2. smart grid

• technical program: Built-in fiber optic sensing technology (fluorescent fiber optic temperature sensor)
• Application Features: Implantation of optical fibers in key areas inside the transformer to monitor the winding temperature distribution in all directions.
• Effectiveness of implementation72-hour advance warning of potential overheating faults, reducing troubleshooting time by 50% and avoiding equipment damage due to localized overheating

II. Applications in the field of new energy

1. Photovoltaic power plants:

• technical program: Wireless Passive Temperature Sensor Matrix + Intelligent Operation & Inspection System
• Application FeaturesWireless deployment, power-free design, adaptable to harsh outdoor environments, 3D heat map visualization display
• Effectiveness of implementation: Accurately capturing the dynamic change of the temperature of the box variable from 13℃ (early morning) to 37℃ (late afternoon), and timely detecting the overheating hazard of the joints on the inverter side to avoid a station-wide blackout accident.

2. wind farm

• technical program: Wind Tank Variable Intelligent Monitoring Unit + Wireless Temperature Vibration Sensor
• Application FeaturesCustomized for wind power with high fluctuation and harsh environment, integrating oil temperature, oil level, vibration and load monitoring.
• Effectiveness of implementationSolved the problem of manual inspection in remote areas by providing early warning of abnormal gearbox oil temperature and preventing two main transformers from being destroyed due to cooling system failure.

Third, rail transportation industry applications

1. high speed railroad

• technical program: Next Generation Railway Power Monitoring System + AI Algorithms
• Application Features: Covering traction substations and contact networks, real-time monitoring of traction transformer oil temperature, winding temperature, and dissolved gases in oil.
• Effectiveness of implementation: Intelligent assessment of the thermal stability of equipment in winter low-temperature environments, linkage of de-icing devices to ensure the safety of power supply in extremely cold conditions during the Winter Olympics, with a reduced failure rate 40%

2. urban metro

• technical program: Fiber Optic Temperature Measurement System
• Application Features: Direct monitoring of the transformer winding temperature with an accuracy of ±1°C and without electromagnetic interference.
• Effectiveness of implementationSolve the problem of traditional sensor failure in the underground humid environment, and successfully warn the temperature abnormality caused by partial discharge of the winding, avoiding power outage in the district.