CN212724009U

CN212724009U - Intelligent transformer and intelligent transformer monitoring system

Info

Publication number: CN212724009U
Application number: CN202021974533.7U
Authority: CN
Inventors: 张艳珊; 王青岗; 余浪; 张传雨; 彭延斌; 张健勇
Original assignee: Siemens Ltd China
Current assignee: Siemens Ltd China
Priority date: 2020-09-10
Filing date: 2020-09-10
Publication date: 2021-03-16
Anticipated expiration: 2030-09-10

Abstract

The utility model provides an intelligent transformer, including transformer, one or more intelligent sensor, AI module and transceiver, one or more intelligent sensor are used for gathering the status data of transformer, intelligent sensor has built-in controller, the controller is to gathering the status data carry out the preliminary treatment to send the status data after preliminary treatment to AI module; the AI module intelligently analyzes the preprocessed state data to obtain fault diagnosis and maintenance suggestion information aiming at the transformer; and the transceiver transmits the fault diagnosis and maintenance recommendation information to an external monitoring device. According to the utility model discloses an intelligent transformer can gather the status data about the transformer more accurately, and diagnostic result is more accurate with the maintenance suggestion, and is also more convenient in the aspect of selecting and installing transformer and supervisory equipment.

Description

Intelligent transformer and intelligent transformer monitoring system

Technical Field

The utility model relates to an automatic technical field, in particular to intelligent transformer and intelligent transformer monitored control system.

Background

Power transformers are one of the most important power devices in power systems. In order to avoid large accidents and economic losses caused by transformers, it is very important to monitor transformers on-line in real time. Most existing transformer condition monitoring devices are independent of the transformer, and some sensors are arranged outside the transformer, which may cause inaccurate positioning and delayed positioning. Furthermore, additional work is required to adapt the monitoring device to the transformer.

The reference US20190072460a1 proposes a method and apparatus for monitoring and automatically reporting the condition of motors and transformers.

There are also condition monitoring systems currently on the market for the primary industry as part of an extended transformer unit service.

However, in these patents or products, the monitoring system is designed to be independent of the transformer, it is difficult to monitor the internal state of the transformer, and additional cost and effort are required to adjust the monitoring system to be suitable for the transformer.

SUMMERY OF THE UTILITY MODEL

The utility model realizes an intelligent transformer, which comprises a transformer, one or more intelligent sensors, an AI module and a transceiver,

the intelligent sensors are used for acquiring state data of the transformer, each intelligent sensor is provided with a built-in controller, and the controllers preprocess the acquired state data and send the preprocessed state data to the AI module;

the AI module intelligently analyzes the preprocessed state data to obtain fault diagnosis and maintenance suggestion information aiming at the transformer; and

and the transceiver transmits the fault diagnosis and maintenance recommendation information to external monitoring equipment.

Optionally, the one or more smart sensors comprise at least one of a sensor for measuring dissolved gas in oil, a current sensor, a vibration sensor, a temperature sensor, a sound sensor.

Optionally, the one or more intelligent sensors are arranged at respective positions of the transformer according to the type of data they measure.

Optionally, the sensor and the AI module and the transceiver communicate with each other in a wired or wireless manner.

Optionally, the transceiver and the external monitoring device communicate with each other in a wireless manner.

Optionally, the controller is a microprocessor chip, and performs data fusion and feature extraction on the state data.

Another embodiment of the present invention provides an intelligent transformer monitoring system, which comprises a server, a gateway and the intelligent transformer as described above,

the intelligent transformer analyzes the state data acquired by the intelligent sensor through the AI module, and the transceiver sends the obtained fault diagnosis and maintenance suggestion information to the gateway;

the gateway converts the fault diagnosis and maintenance suggestion information into a format which can be identified by the server, and sends the converted fault diagnosis and maintenance suggestion information to the server; and

and the server is used for remotely monitoring the state of the intelligent transformer in real time.

According to the intelligent transformer, the intelligent sensor with low power, low cost and high performance is added in the transformer, so that the state data related to the transformer can be more accurately collected; the controller arranged in the intelligent sensor can preprocess the state data, so that the working efficiency of the AI module can be improved; the AI module diagnoses the transformer by utilizing a data analysis model obtained by big data training and provides a maintenance suggestion, so that the analysis efficiency is high, and the diagnosis result and the maintenance suggestion are more accurate; through pretreatment and pre-diagnosis, after the state condition of the equipment is obtained, enough time can be reserved for maintenance and repair schemes; the purchasing and utilization of personnel and resources can be optimized; the transformer and the monitoring equipment are more convenient to select and install.

Drawings

In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.

Fig. 1 is a schematic diagram illustrating an exemplary configuration of a smart transformer 100 according to an embodiment of the present invention;

fig. 2 shows a schematic diagram of an exemplary configuration of a smart transformer monitoring system 200 according to an embodiment of the present invention.

Description of the reference numerals

100 intelligent transformer 102 transformer

104 one or more intelligent sensors 106 AI modules

108 transceiver 200 intelligent transformer monitoring system

202 server 204 gateway

Detailed Description

In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the following will combine the drawings in the embodiments of the present invention to clearly and completely describe the technical solution in the embodiments of the present invention, and obviously, the described embodiments are some embodiments of the present invention, rather than all embodiments, based on the embodiments in the present invention, all other embodiments obtained by a person of ordinary skill in the art without creative work belong to the scope of the present invention.

The utility model provides an intelligent transformer, it adopts electromechanical solution, imbeds the hardware module that can support state measurement and predictive analysis in traditional transformer to make the usability of transformer improve.

The following describes an intelligent transformer according to an embodiment of the present invention with reference to the drawings.

Fig. 1 is a schematic diagram illustrating an exemplary configuration of a smart transformer 100 according to an embodiment of the present invention.

As shown in fig. 1, the intelligent transformer 100 according to the embodiment of the present invention includes: including a transformer 102, one or more intelligent sensors 104, an AI (artificial intelligence) module 106, and a transceiver 108.

Wherein one or more smart sensors 104 are used to collect status data of the transformer 102.

In particular, the one or more smart sensors 104 may be one or more of a sensor for measuring dissolved gas in oil, a current sensor, a vibration sensor, a temperature sensor, a sound sensor, and the like.

Each smart sensor 104 is arranged at a respective location of the transformer 102 according to the type of data it is to measure.

For example, a sensor for measuring dissolved gases in oil may be placed in the transformer oil in a transformer tank to measure the composition of the transformer oil; the ultrasonic sensor can be arranged on the shell of the transformer, and the equipment material flaw detection is carried out by measuring the time difference between the emission and the reception of the sound wave signal; the vibration sensor and the sound sensor may be installed inside the transformer to collect vibration signals, sound signals, and the like.

Those skilled in the art can arrange various sensors at appropriate positions as needed to measure different status data of the transformer; the sensors used may not be limited to the above-mentioned types of sensors, but other types of sensors may be used as needed, and are not described in detail herein.

Each smart sensor 104 has a built-in controller (not shown), which may be a microprocessor chip, for preprocessing the status data collected by the smart sensor 104 and sending the preprocessed status data to the AI module 106.

Specifically, the controller may perform data fusion and feature extraction on the acquired state data, for example, may perform FFT (fast fourier transform), data compression, and the like on the data.

By preprocessing the collected data with the controller in the smart sensor 104, the amount of data to be processed by the AI module 106 can be prevented from being too large, and the efficiency of the AI module can be improved.

The preprocessed data is provided to the AI module 106, and the AI module 106 may intelligently analyze the preprocessed status data (e.g., feature data extracted through FFT analysis) to obtain fault diagnosis and maintenance recommendation information for the transformer 102.

The communication between the sensor 104 and the AI module 106 and between the AI module 106 and the transceiver 108 may be wired or wireless.

The AI module 106 may include a data analysis model obtained through machine learning in advance, and the data analysis model may be used to perform intelligent analysis on the state data of the transformer to obtain fault diagnosis and maintenance recommendation information. For example, the data analysis model may be a neural network model obtained by training a neural network. The state of the transformer is intelligently analyzed by utilizing the neural network model, so that the analysis efficiency and the accuracy of diagnosis and maintenance can be improved.

The fault diagnosis and maintenance recommendation information analyzed by the AI module 106 may be transmitted to the external monitoring device through the transceiver 108.

Transceiver 108 is a wireless transceiver that communicates wirelessly with an external monitoring device.

Typically the transformer may be located outdoors, the external monitoring device is, for example, a remote server, and the wireless transceiver transmits fault diagnosis and maintenance recommendation information for the transformer to an online platform on the remote server so that the transformer can be conveniently monitored and controlled remotely by a worker.

The transceiver 108 may communicate with external monitoring devices using communication protocols such as Lora, ZigBee, Sub-1G, etc.

The intelligent transformer monitoring system 200 according to an embodiment of the present invention includes the server 202, the gateway 204, and the intelligent transformer 100 described above with reference to fig. 1.

As described above, the AI module 106 of the intelligent transformer 100 analyzes the status data of the transformer 102 collected by the intelligent sensor 104, and the obtained fault diagnosis and maintenance recommendation information may be sent to the external monitoring device through the transceiver 108.

In this embodiment, the fault diagnosis and maintenance recommendation information is first sent to the gateway 204, and the gateway 204 may convert the fault diagnosis and maintenance recommendation information into a format (e.g., TCP/IP format) that can be recognized by the server 202, and then transmit the converted fault diagnosis and maintenance recommendation information to the server 202.

The staff can monitor the intelligent transformer remotely in real time at the server side according to the fault diagnosis and maintenance recommendation information received by the server 202.

The utility model discloses each embodiment has following beneficial effect at least:

It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other similar elements in a process, method, article, or apparatus that comprises the element.

Finally, it is to be noted that: the above description is only the preferred embodiment of the present invention, which is only used to illustrate the technical solution of the present invention, and is not used to limit the protection scope of the present invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention is included in the protection scope of the present invention.

Claims

1. Intelligent transformer (100) comprising a transformer (102), one or more intelligent sensors (104), an AI module (106) and a transceiver (108),

the one or more intelligent sensors (104) are used for collecting state data of the transformer (102), the intelligent sensors (104) are provided with built-in controllers, and the controllers preprocess the collected state data and send the preprocessed state data to the AI module (106);

the AI module (106) intelligently analyzes the preprocessed state data to obtain fault diagnosis and maintenance suggestion information aiming at the transformer (102); and

the transceiver (108) transmits the fault diagnosis and maintenance recommendation information to an external monitoring device.

2. The smart transformer (100) of claim 1, wherein the one or more smart sensors (104) comprise at least one of a sensor for measuring dissolved gas in oil, a current sensor, a vibration sensor, a temperature sensor, a sound sensor.

3. The smart transformer (100) of claim 2, wherein the one or more smart sensors (104) are arranged at respective locations of the transformer (102) according to a type of data they measure.

4. The smart transformer (100) of claim 1,

the one or more intelligent sensors (104) communicate with the AI module (106) and the AI module (106) communicates with the transceiver (108) in a wired or wireless manner.

5. The smart transformer (100) of claim 1,

the transceiver (108) communicates with the external monitoring device in a wireless manner.

6. The intelligent transformer (100) of claim 1, wherein the controller is a microprocessor chip that performs data fusion and feature extraction on the status data.

7. Intelligent transformer monitoring system (200) comprising a server (202), a gateway (204) and an intelligent transformer (100) according to any one of claims 1-6,

an AI module (106) of the intelligent transformer (100) analyzes state data of the transformer (102) collected by one or more intelligent sensors (104), and a transceiver (108) sends the obtained fault diagnosis and maintenance suggestion information to a gateway (204);

the gateway (204) converts the fault diagnosis and maintenance recommendation information into a format which can be recognized by the server (202), and sends the converted fault diagnosis and maintenance recommendation information to the server (202); and

the server (202) is used for remotely monitoring the state of the intelligent transformer (100) in real time.