Winding deformation monitoring device based on data driving and artificial intelligence

Abstract

A winding deformation monitoring device based on data driving and artificial intelligence disclosed by the present invention comprises an iron core, a first winding is arranged at the upper end in the iron core, a second winding is arranged at the lower end in the iron core, and wires are wound on the outer side surfaces of the first winding and the second winding. A detection mechanism used for detecting whether the first winding and the second winding deform or not is arranged on the outer side of the wire and comprises a first fixing block, an infrared light signal transmitting device, an insulating adhesion layer, a lens, a first reflecting mirror, a second reflecting mirror, a second fixing block and an infrared light signal receiving device. According to the principle that light propagates along a straight line, propagation of a light path can be blocked when a winding wire is deformed at any time, so that when the propagation of the light path is blocked, the device can give an alarm in time, a worker can be informed of overhauling in time, meanwhile, detection of the device can be conducted in a power-on mode, and the detection efficiency is improved. And real-time detection can be carried out without power-off and spot check.

Description

Technical Field

[0001] The present invention relates to the technical field of power equipment monitoring, and in particular to a winding deformation monitoring device based on data drive and artificial intelligence. Background Art

[0002] As a crucial and critical component of power grid systems, transformer reliability is crucial to the safety and stability of the entire grid. With the continuous expansion of grid capacity, the construction of ultra-high and ultra-high voltage power systems, and the formation of large-scale regional integrated and smart grid systems, higher requirements are being placed on the stability and safety of power system operations.

[0003] According to statistical analysis of power grid big data, the failure rate of transformers in power grid systems is approximately 1%-2%, primarily due to transformer winding deformation. Transformer winding deformation can be caused by short-circuit currents or lightning currents in nearby areas, collisions during transportation or installation, explosions caused by flammable gases released from transformer oil, or earthquakes. Once transformer winding deformation occurs, it can lead to unstable output voltage, causing significant damage to the transformer itself. In severe cases, this can cause problems with subsequent equipment and even cause power outages.

[0004] Existing transformer winding deformation detection methods include vibration detection method, short-circuit impedance method, low-voltage pulse method, frequency response analysis method, etc. Traditional transformer winding deformation fault detection methods require the transformer to be powered off and the high-voltage leads to be untied to achieve offline detection. This detection method not only affects the normal operation of the power grid, but also increases the risk and cost of transformer winding fault detection. In addition, the test equipment used in the existing technology has poor accuracy and weak stability, and the sampling waveform is single and can only test a single winding, which is not convenient for subsequent overall analysis. Therefore, to address this problem, there is a need for an improved winding deformation monitoring device based on data drive and artificial intelligence. Summary of the Invention

[0005] The purpose of the present invention is to provide a winding deformation monitoring device based on data drive and artificial intelligence to solve the problems raised in the above background technology.

[0006] To achieve the above-mentioned objectives, the present invention provides the following technical solutions: A winding deformation monitoring device based on data drive and artificial intelligence, comprising an iron core, a first winding being provided at the upper end of the iron core, a second winding being provided at the lower end of the iron core, a wire being wound around the outer surfaces of the first winding and the second winding, a detection mechanism being provided on the outer side of the wire for detecting whether the first winding and the second winding are deformed, the detection mechanism comprising a first fixed block, an infrared light signal emitting device, an adhesion layer, a lens, a first reflector, a second reflector, a second fixed block, and an infrared light signal receiving device, a first fixed block being fixedly provided on one side of the upper end of the first winding, an infrared light signal emitting device being fixedly provided on the lower end of the first fixed block, an adhesion layer being adhered to the outer surface of the wire, a lens being provided on the middle part of the inner side of the adhesion layer, a first reflector being provided on one side of the lower end of the second winding, a second reflector being fixedly provided on the side of the lower end of the second winding away from the first transmitting mirror, a second fixed block being fixedly provided on the side of the upper end of the first winding away from the first fixed block, and an infrared light signal receiving device being fixedly provided on the lower end of the second fixed block.

[0007] Preferably, a connection terminal is provided at the upper end of the iron core, through which the device can be conveniently electrically connected to external wires and cables, thereby facilitating power supply.

[0008] Preferably, a first extension frame is fixedly provided on one side of the surface of the iron core, a sensor compartment is fixedly provided on the upper end of the first extension frame, and a temperature sensor and a vibration sensor are provided inside the sensor compartment. The temperature sensor and vibration sensor of this device can detect the frequency, amplitude and phase information of the vibration signal of the winding, and the temperature sensor can detect whether the winding is overheated.

[0009] Preferably, a second extension frame is fixedly provided on the side of the iron core surface away from the first extension frame, a control box is provided on the upper end of the second mounting frame, and an alarm system is provided inside the control box, and the alarm system includes a data receiving module, a data processing module, an intelligent early warning module, and a wireless communication module; the receiving signals of the temperature sensor, the vibration sensor and the infrared light signal receiving device in this device can be transmitted to the data receiving module, and the data receiving module performs preliminary processing on the collected raw data, such as filtering, amplification, analog-to-digital conversion, etc., and then transmits the processed data to the data processing module, which extracts characteristic parameters from the signal, such as the frequency, amplitude, phase, temperature and other information of the vibration signal, and then inputs the characteristic parameters collected and processed in real time into the intelligent early warning module, and can be uploaded to the cloud, and big data training is performed through a convolutional neural network model, and then the prediction results of winding deformation are output through the model, including deformation degree and deformation type information, and finally the collected data and monitoring results are uploaded to the remote control terminal in real time through the communication module, which is convenient for operation and maintenance personnel to conduct centralized management, maintenance and remote monitoring.

[0010] Preferably, the electrical signal output points of the infrared light signal receiving device, temperature sensor, and vibration sensor are electrically connected to the data receiving module, so that key electrical signals can be transmitted to subsequent data processing modules and other modules through the data receiving module.

[0011] Preferably, the first reflector and the second reflector are arranged at an angle of 45 degrees to the horizontal direction, so that the infrared signal light can be reflected at an angle of 90° by the first reflector and the second reflector, so that the infrared signal light can pass through all lenses and be received by the infrared light signal receiving device.

[0012] Preferably, the adhesive layer is an insulating colloid, and the lens can be fixed on the insulating paint surface of the wire through the adhesive layer of the insulating colloid, which can prevent short circuits and the like from occurring.

[0013] Preferably, a mounting seat is fixedly provided at the lower end of the iron core, and a mounting hole is opened on the outer surface of the mounting seat. The entire device can be conveniently fixed and installed at the target position through the mounting hole and the mounting seat.

[0014] Compared with the prior art, the present invention has the following beneficial effects:

[0015] 1. The present invention utilizes the principle that light propagates in a straight line. When any winding wire is deformed, the propagation of the light path will be blocked. In this way, when the light path propagation is blocked, the device can promptly alarm, thereby notifying the staff to carry out timely maintenance. At the same time, the detection of the device can be carried out with power on, without power off, and can be carried out in real time instead of random inspection.

[0016] 2. The present invention can input the characteristic parameters collected and processed in real time into the intelligent early warning module, and upload them to the cloud, perform big data training through the convolutional neural network model, and then output the prediction results of winding deformation through the model, including deformation degree and deformation type information. Finally, the collected data and monitoring results are uploaded to the remote control terminal in real time through the communication module, which is convenient for operation and maintenance personnel to carry out centralized management, maintenance and remote monitoring. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 This is a schematic diagram of the overall structure of a winding deformation monitoring device based on data drive and artificial intelligence in the present invention;

[0018] Figure 2 This is a bottom view of a winding deformation monitoring device based on data drive and artificial intelligence according to the present invention;

[0019] Figure 3 This is a system block diagram of an alarm system for a winding deformation monitoring device based on data drive and artificial intelligence according to the present invention;

[0020] Figure 4 The present invention is a winding deformation monitoring device based on data drive and artificial intelligence Figure 2 Magnified view at point A in the middle;

[0021] Figure 5 The present invention is a winding deformation monitoring device based on data drive and artificial intelligence Figure 2 Magnified view at point B in the middle;

[0022] Figure 6 The present invention is a winding deformation monitoring device based on data drive and artificial intelligence Figure 1 Magnified view at center C.

[0023] In the figure: 1. Iron core; 2. First winding; 3. Second winding; 4. First fixing block; 5. Infrared light signal transmitting device; 6. Adhesion layer; 7. Lens; 8. First reflector; 9. Second reflector; 10. Second fixing block; 11. Infrared light signal receiving device; 12. Wiring terminal; 13. First extension frame; 14. Sensor compartment; 15. Temperature sensor; 16. Vibration sensor; 17. Second extension frame; 18. Control box; 19. Data receiving module; 20. Data processing module; 21. Intelligent early warning module; 22. Wireless communication module; 23. Mounting seat; 24. Mounting hole. DETAILED DESCRIPTION

[0024] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0025] See also Figure 1-6 , the present invention provides a technical solution: the present invention discloses a winding deformation monitoring device based on data drive and artificial intelligence, comprising an iron core 1, a first winding 2 is provided at the upper end of the inner part of the iron core 1, a second winding 3 is provided at the lower end of the inner part of the iron core 1, a wire is wound around the outer surface of each of the first winding 2 and the second winding 3, a detection mechanism for detecting whether the first winding 2 and the second winding 3 are deformed is provided on the outer side of the wire, the detection mechanism comprises a first fixing block 4, an infrared light signal emitting device 5, an adhesion layer 6, a lens 7, a first reflector 8, a second reflector 9, a second fixing block 10, an infrared light signal A signal receiving device 11 is provided, a first fixed block 4 is fixedly provided on one side of the upper end of the first winding 2, an infrared light signal emitting device 5 is fixedly provided on the lower end of the first fixed block 4, an adhesive layer 6 is adhered to the outer surface of the wire, a lens 7 is provided on the middle part of the inner side of the adhesive layer 6, a first reflector 8 is provided on one side of the lower end of the second winding 3, a second reflector 9 is fixedly provided on the side of the lower end of the second winding 3 away from the first emitting mirror, a second fixed block 10 is fixedly provided on the side of the upper end of the first winding 2 away from the first fixed block 4, and an infrared light signal receiving device 11 is fixedly provided on the lower end of the second fixed block 10. The present invention utilizes the principle that light propagates in a straight line. When any winding wire is deformed, the propagation of the light path will be blocked. In this way, when the propagation of the light path is blocked, the device can give an alarm in time, thereby notifying the staff to carry out maintenance in time. At the same time, the detection of the device can be carried out with power on, without power off, and can be carried out in real time instead of random inspection.

[0026] The upper end of the iron core 1 is provided with a connection terminal 12, through which the device can be conveniently electrically connected to external wires and cables, thereby facilitating power supply.

[0027] A first extension frame 13 is fixedly provided on one side of the surface of the iron core 1, and a sensor compartment 14 is fixedly provided on the upper end of the first extension frame 13. A temperature sensor 15 and a vibration sensor 16 are provided inside the sensor compartment 14. The temperature sensor 15 and the vibration sensor 16 of the device can detect the frequency, amplitude and phase information of the vibration signal of the winding, and the temperature sensor 15 can detect whether the winding is overheated.

[0028] A second extension frame 17 is fixedly provided on the side of the surface of the core 1 away from the first extension frame 13, and a control box 18 is provided on the upper end of the second mounting frame. An alarm system is provided inside the control box 18, and the alarm system includes a data receiving module 19, a data processing module 20, an intelligent early warning module 21, and a wireless communication module 22; the receiving signals of the temperature sensor 15, the vibration sensor 16 and the infrared light signal receiving device 11 in this device can be transmitted to the data receiving module 19, and the data receiving module 19 performs preliminary processing on the collected raw data, such as filtering, amplification, analog-to-digital conversion, etc. , then the processed data is transmitted to the data processing module 20, which extracts characteristic parameters from the signal, such as the frequency, amplitude, phase, temperature and other information of the vibration signal. The characteristic parameters collected and processed in real time are then input into the intelligent early warning module 21, and can be uploaded to the cloud. The convolutional neural network model is used for big data training, and then the model outputs the prediction results of the winding deformation, including the degree of deformation and deformation type information. Finally, the collected data and monitoring results are uploaded to the remote control terminal in real time through the communication module, which facilitates the operation and maintenance personnel to carry out centralized management, maintenance and remote monitoring.

[0029] The electrical signal output points of the infrared light signal receiving device 11, the temperature sensor 15, and the vibration sensor 16 are electrically connected to the data receiving module 19, so that the key electrical signals can be transmitted to subsequent modules such as the data processing module 20 through the data receiving module 19;

[0030] The first reflector 8 and the second reflector 9 are arranged at an angle of 45 degrees to the horizontal direction. In this way, the infrared signal light can be reflected at an angle of 90 degrees by the first reflector 8 and the second reflector 9, so that the infrared signal light can pass through all the lenses 7 and be received by the infrared light signal receiving device 11;

[0031] The adhesive layer 6 is an insulating colloid, and the lens 7 can be fixed on the insulating paint surface of the wire through the adhesive layer 6 of the insulating colloid, which can prevent short circuits and other situations from occurring;

[0032] A mounting seat 23 is fixedly provided at the lower end of the iron core 1 , and a mounting hole 24 is opened on the outer surface of the mounting seat 23 . The entire device can be conveniently fixed and installed at the target position through the mounting hole 24 and the mounting seat 23 .

[0033] Working principle: When using this device, the device uses the principle that light propagates in a straight line. When any winding wire is deformed, the propagation of the light path will be blocked. In this way, when the light path propagation is blocked, the device can promptly alarm, thereby notifying the staff to carry out timely maintenance. At the same time, the detection of this device can be carried out with power on, without power off and it is not a random inspection but real-time detection. The detection principle is as follows: an infrared light signal is emitted by the infrared light signal emitting device 5, and then the infrared light signal is transmitted vertically downward, passes through the first reflector 8 to make the light signal deflected 90 degrees counterclockwise, and then passes through the second reflector 8. The second reflector 9 continues to deflect the light signal counterclockwise by 90 degrees, and then the light signal passes through another row of lenses 7 and contacts the infrared light signal receiving device 11. In this way, as long as the windings and wires are not deformed, the light signal can be continuously received. Once the windings and wires are deformed, the original light path will be blocked. In this way, after the infrared light signal receiving device 11 cannot receive the light signal, an electrical signal can be given to the data receiving module 19. In this way, the information is uploaded to the remote control terminal after analysis by the alarm system, which is convenient for operation and maintenance personnel to carry out centralized management, maintenance and remote monitoring.

[0034] When the device is in use, the receiving signals of the temperature sensor 15, the vibration sensor 16 and the infrared light signal receiving device 11 can be transmitted to the data receiving module 19. The data receiving module 19 performs preliminary processing on the collected raw data, such as filtering, amplification, analog-to-digital conversion, etc., and then transmits the processed data to the data processing module 20. The data processing module 20 extracts characteristic parameters from the signal, such as the frequency, amplitude, phase, temperature and other information of the vibration signal, and then inputs the characteristic parameters collected and processed in real time into the intelligent early warning module 21, and can be uploaded to the cloud. Big data training is performed through the convolutional neural network model, and then the prediction results of the winding deformation are output through the model, including the degree of deformation and deformation type information. Finally, the collected data and monitoring results are uploaded to the remote control terminal in real time through the communication module, which is convenient for operation and maintenance personnel to conduct centralized management, maintenance and remote monitoring.

[0035] It should be noted that, in this document, relational terms such as first and second, etc., are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the terms "comprises," "comprising," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that includes a list of elements includes not only those elements but also other elements not explicitly listed, or elements inherent to such process, method, article, or apparatus.

[0036] While embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions, and variations may be made to these embodiments without departing from the principles and spirit of the invention, and that the scope of the invention is defined by the appended claims and their equivalents.

Claims

1. A winding deformation monitoring device based on data drive and artificial intelligence, comprising an iron core (1), characterized in that: A first winding (2) is provided at the upper end of the iron core (1), and a second winding (3) is provided at the lower end of the iron core (1). Conductive wires are wound around the outer surfaces of the first winding (2) and the second winding (3). A detection mechanism for detecting whether the first winding (2) and the second winding (3) are deformed is provided on the outer side of the conductive wire. The detection mechanism comprises a first fixed block (4), an infrared light signal emitting device (5), an adhesive layer (6), a lens (7), a first reflector (8), a second reflector (9), a second fixed block (10), and an infrared light signal receiving device (11). The upper end of the first winding (2) is fixedly provided with a first fixed block (4), an infrared light signal emitting device (5), an adhesive layer (6), a lens (7), a first reflector (8), a second reflector (9), a second fixed block (10), and an infrared light signal receiving device (11). A first fixed block (4) is provided, an infrared light signal emitting device (5) is fixedly provided at the lower end of the first fixed block (4), an adhesive layer (6) is adhered to the outer surface of the wire, a lens (7) is provided at the middle of the inner side of the adhesive layer (6), a first reflector (8) is provided on one side of the lower end of the second winding (3), a second reflector (9) is fixedly provided on the side of the lower end of the second winding (3) away from the first emitting mirror, a second fixed block (10) is fixedly provided on the side of the upper end of the first winding (2) away from the first fixed block (4), and an infrared light signal receiving device (11) is fixedly provided on the lower end of the second fixed block (10).

2. The data-driven and artificial intelligence-based winding deformation monitoring device according to claim 1 is characterized in that: The upper end of the iron core (1) is provided with a connection terminal (12).

3. The data-driven and artificial intelligence-based winding deformation monitoring device according to claim 1 is characterized in that: A first extension frame (13) is fixedly provided on one side of the surface of the iron core (1), a sensor compartment (14) is fixedly provided on the upper end of the first extension frame (13), and a temperature sensor (15) and a vibration sensor (16) are provided inside the sensor compartment (14).

4. The data-driven and artificial intelligence-based winding deformation monitoring device according to claim 3 is characterized in that: A second extension frame (17) is fixedly provided on a side of the surface of the iron core (1) away from the first extension frame (13); a control box (18) is provided at the upper end of the second installation frame; an alarm system is provided inside the control box (18); the alarm system comprises a data receiving module (19), a data processing module (20), an intelligent early warning module (21), and a wireless communication module (22).

5. The data-driven and artificial intelligence-based winding deformation monitoring device according to claim 3 is characterized in that: The infrared light signal receiving device (11), the temperature sensor (15), the electrical signal output points of the vibration sensor (16) and the data receiving module (19) are electrically connected.

6. The data-driven and artificial intelligence-based winding deformation monitoring device according to claim 1 is characterized in that: The first reflector (8) and the second reflector (9) are arranged at an angle of (45) degrees to the horizontal direction.

7. The data-driven and artificial intelligence-based winding deformation monitoring device according to claim 1 is characterized in that: The adhesive layer (6) is an insulating colloid.

8. The data-driven and artificial intelligence-based winding deformation monitoring device according to claim 1 is characterized in that: A mounting seat (23) is fixedly provided at the lower end of the iron core (1), and a mounting hole (24) is provided on the outer surface of the mounting seat (23).

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