Abstract: An abnormal vibration diagnosis system and method for a transformer. The system includes at least one vibration sensor, an analysis device, and a diagnosis device. The at least one vibration sensor is configured to acquire vibration data of a transformer within at least one time interval. The analysis device is connected to the at least one vibration sensor. The analysis device is configured to establish, based on the vibration data, a correlation between a vibration level of the transformer and a tightening force applied to a core assembly of the transformer. The diagnosis device is connected to the analysis device. The diagnosis device is configured to determine, according to the correlation, whether the transformer exhibits abnormal vibration during operation, and to issue an early warning message when the transformer is determined to exhibit the abnormal vibration.

Abstract: A method and a system for diagnosing leakage of an insulating oil. The method and the system pre-warn an oil leakage anomaly in a transformer. The transformer includes an oil storage tank and the insulating oil contained in the oil storage tank. The system includes an inspection device and a diagnosis device. The inspection device includes a sensing module and a processing module connected to the sensing module. The sensing module is disposed on the oil storage tank to obtain state information of the insulating oil within at least one unit time interval. The processing module establishes a conversion function relationship between an oil temperature and an oil level of the insulating oil based on the state information. The diagnosis device is connected to the processing module, and performs an early leakage warning of the insulating oil according to the conversion function relationship during operation of the transformer.

Abstract: An air-cell rupture diagnosis method and system used for rupture early warning of an air cell in an oil storage device of a transformer. The air-cell rupture diagnosis system includes a sensing module, an analysis device, and a diagnosis device. The sensing module is disposed on the oil storage device to acquire status information of the oil storage device within at least one unit time interval. The analysis device is connected to the sensing module to establish a data correlation based on the status information. The data correlation defines a conversion relationship between air parameter and oil temperature. The diagnosis device is connected to the analysis device to perform rupture early warning for the air cell during operation of the transformer according to the conversion relationship between air parameter and oil temperature.

Abstract: A transformer monitoring management system includes multiple smart regulating transformers and a backend management system, and is applicable to a smart gird that includes a transmission and distribution network and a communication infrastructure. Each smart regulating transformer includes a transformer body coupled to the transmission and distribution network, a voltage regulator, and a monitoring terminal. A detecting module is disposed on the transformer body to obtain operation status data that includes a voltage and a current of a low-voltage side. The voltage regulator is coupled to the transformer body, so that the voltage of the low-voltage side is compensated to be within a rated voltage range. The monitoring terminal is coupled to the detecting module for collecting the operation status data and generating an abnormal status message, and transmits the operation status data or the abnormal status message to the backend management system through the communication infrastructure.

Abstract: An intelligent drying device for a transformer includes an air dehydrating device and a control device. The air dehydrating device is in air communication with a transformer, and includes a device body, a sensor, and a heater. The device body has a desiccant, and the sensor and the heater are disposed on the device body. The control device is connected to the air dehydrating device, and includes a display module. In use, the air dehydrating device can remove moisture from an air stream by the desiccant when the transformer is in an intake state, and can remove moisture from the desiccant by the heater when the transformer is in an exhaust state. The control device can determine a humidity status level to be displayed on the display module according to air humidity data obtained by the sensor.

Abstract: An oil level detection device and an oil-immersed transformer. The oil level detection device that includes a detachable oil tank and an optical oil level gauge is applicable to the oil-immersed transformer. The oil-immersed transformer includes an oil storage device for storage of an insulating oil. The detachable oil tank includes a lower tank body disposed on the oil storage device, and an upper tank body disposed above and in spatial communication with the lower tank body. The lower tank body has a second oil chamber that is in spatial communication with a first oil chamber of the oil storage device for circulation of the insulating oil. The optical oil level gauge is disposed on the upper tank body for projecting a sensing beam onto the insulating oil within the second oil chamber and detecting a height change of an oil surface.

Abstract: A transformer apparatus and an intelligent oil-level detection device are provided. The intelligent oil-level detection device for an oil-immersed transformer includes a sensing module and a data processing module. The sensing module is configured to acquire status information of an insulating oil for N consecutive days. The status information includes, at each unit time point of each day within the N days, an oil temperature, and an oil level height at the oil temperature, where N is an integer greater than 1. The data processing module is configured to generate a variation relationship curve between an oil level height and an oil temperature of each day within the N days according to the status information of the insulating oil and perform fitting processing for generating a standard reference curve.

Abstract: A transformer oil-level monitoring and early warning system includes a plurality of transformer apparatuses and a diagnosis management platform. Each of the transformer apparatuses includes an oil-immersed transformer and an intelligent oil-level detection device. The intelligent oil-level detection device is configured to acquire status information of an insulating oil for N consecutive days, and to generate a variation relationship curve between oil level height and oil temperature of each day within the N days according to the status information and perform fitting processing. Therefore, a standard reference curve adapted to the oil-immersed transformer is generated. The diagnosis management platform is configured to, for each of the transformer apparatuses, perform the operations of determining whether the oil-immersed transformer in operation has an oil level abnormality based on the standard reference curve and, if yes, provide an early warning notification.

Abstract: A heat-dissipating waterproof cabinet is provided and adapted to accommodate an electronic device. The heat-dissipating waterproof cabinet includes an inner cabinet body, at least one heat sink, and an outer cover. The inner cabinet body has an accommodation space and a plurality of ventilation holes and at least one heat dissipation window in spatial communication with the accommodation space. The at least one heat sink passes through the at least one heat dissipation window and is in thermal contact with a heat source of the electronic device. The outer cover houses the inner cabinet body and the at least one heat sink and shields the ventilation holes of the inner cabinet body. The outer cover has a plurality of heat dissipation holes that correspond in position to the at least one heat sink.

Abstract: A waterproof heat dissipation cabinet includes an inner cabinet body and an outer cover housing the inner cabinet body. The inner cabinet body includes a bottom wall, a top wall, a rear wall, and two side walls that jointly define an accommodation space, and the bottom wall has a plurality of first ventilation holes. The outer cover includes a top baffle, a rear baffle, and two side baffles. The top baffle corresponds in position to the top wall. The rear baffle corresponds in position to the rear wall, and has a plurality of heat dissipation holes that provide for air communication between at least one heat dissipation window of the rear wall and the external environment. The two side baffles respectively correspond in position to the two side walls, and each of the two side baffles shelters a plurality of second ventilation holes of the corresponding side wall.

Abstract: A transformer monitoring management system includes multiple smart regulating transformers and a backend management system, and is applicable to a smart gird that includes a transmission and distribution network and a communication infrastructure. Each smart regulating transformer includes a transformer body coupled to the transmission and distribution network, a voltage regulator, and a monitoring terminal. A detecting module is disposed on the transformer body to obtain operation status data that includes a voltage and a current of a low-voltage side. The voltage regulator is coupled to the transformer body, so that the voltage of the low-voltage side is compensated to be within a rated voltage range. The monitoring terminal is coupled to the detecting module for collecting the operation status data and generating an abnormal status message, and transmits the operation status data or the abnormal status message to the backend management system through the communication infrastructure.

Abstract: An intelligent drying device for a transformer includes an air dehydrating device and a control device. The air dehydrating device is in air communication with a transformer, and includes a device body, a sensor, and a heater. The device body has a desiccant, and the sensor and the heater are disposed on the device body. The control device is connected to the air dehydrating device, and includes a display module. In use, the air dehydrating device can remove moisture from an air stream by the desiccant when the transformer is in an intake state, and can remove moisture from the desiccant by the heater when the transformer is in an exhaust state. The control device can determine a humidity status level to be displayed on the display module according to air humidity data obtained by the sensor.

Abstract: A power transformer having a noise reduction function includes a transformer housing and an electromagnetic assembly. The transformer housing includes a sidewall and an accommodating space surrounded by the sidewall, and the sidewall has a vacuum layer formed therein. The electromagnetic assembly is disposed in the accommodating space and includes an iron core and a coil structure disposed on the iron core. The transformer housing can include at least one hollow reinforcing structure disposed on an outer wall of the sidewall and filled with an anti-vibration material.

Abstract: An intelligent air-drying system and method are provided. The intelligent air-drying system includes an air-drying device and an application program. The air-drying device includes a device body, a sensing unit, a heater, and a processing unit. The device body has a water-absorbing material for absorbing moisture in the air. The sensing unit is disposed on the device body to detect the humidity of the environment where the air-drying device is located. The heater is disposed on the device body to heat the water-absorbing material. The processing unit is coupled to the sensing unit and the heater, and the processing unit executes the application program. The startup timing of the heater is dynamically predicted based on the daily humidity change measured by the sensing unit, and the heater is started before the water-absorbing material reaches saturation to ensure the water-absorbing and dehumidifying capabilities of the water-absorbing material.

Abstract: An intelligent air-drying system and method are provided. The intelligent air-drying system includes an air-drying device and an application program. The air-drying device includes a device body, a sensing unit, a heater, and a processing unit. The device body has a water-absorbing material for absorbing moisture in the air. The sensing unit is disposed on the device body to detect the humidity of the environment where the air-drying device is located. The heater is disposed on the device body to heat the water-absorbing material. The processing unit is coupled to the sensing unit and the heater, and the processing unit executes the application program. The startup timing of the heater is dynamically predicted based on the daily humidity change measured by the sensing unit, and the heater is started before the water-absorbing material reaches saturation to ensure the water-absorbing and dehumidifying capabilities of the water-absorbing material.

Abstract: Disclosed are a transformer system and a control method of an air-drying device thereof. The air-drying device has a desiccant material stored therein and is connected to a transformer for removing water from an airflow entering the transformer. The control method includes the following steps. The first step is detecting a weight of the desiccant material. The next step is determining whether the weight of the desiccant material reaches a first predetermined weight. The next step is determining whether the transformer is in an air inflow state or an air outflow state, and is conducted when the weight of the desiccant material reaches a first predetermined weight. The last step is heating the desiccant material, and is conducted when the transformer is the air outflow state. Therefore, the lifetime of the transformer can be remarkably extended.

Abstract: Disclosed are a transformer system and a control method of an air-drying device thereof. The air-drying device has a desiccant material stored therein and is connected to a transformer for removing water from an airflow entering the transformer. The control method includes the following steps. The first step is detecting a weight of the desiccant material. The next step is determining whether the weight of the desiccant material reaches a first predetermined weight. The next step is determining whether the transformer is in an air inflow state or an air outflow state, and is conducted when the weight of the desiccant material reaches a first predetermined weight. The last step is heating the desiccant material, and is conducted when the transformer is the air outflow state. Therefore, the lifetime of the transformer can be remarkably extended.