An intelligent power distribution network operation data visualized monitoring method

Abstract

This invention provides a method for visually monitoring the operation data of a smart power distribution network, comprising the following steps: establishing a mobile track around the transformer, placing a controllable mobile trolley on the track, setting a metal tennis ball on the side wall of the controllable mobile trolley, and installing current and voltage acquisition devices on the transformer's incoming and outgoing lines; constructing a 3D model of the transformer, including the main body area of ​​the transformer and the incoming and outgoing line areas; controlling the controllable mobile trolley to rotate the metal tennis ball around the transformer to acquire leakage flux data; collecting the incoming and outgoing line voltage and current data of the transformer through the current and voltage acquisition devices, comparing the incoming and outgoing line voltage and current data with the transformer nameplate data to obtain the operating status; updating the 3D model of the transformer based on the leakage flux data, the incoming and outgoing line voltage and current data, and the operating status; through automated data acquisition, the transformer's leakage flux, incoming and outgoing line voltage and current data, and operating status can be visualized, reducing the workload of staff.

Description

Technical Field

[0001] This invention relates to the field of power distribution network monitoring technology, and in particular to a method for visual monitoring of smart power distribution network operation data. Background Technology

[0002] A power distribution network is a network that receives electrical energy from the transmission network or regional power plants and distributes it locally or in stages according to voltage to various users through distribution facilities. It consists of distribution lines, cables, poles, distribution transformers, disconnect switches, reactive power compensators and some auxiliary facilities, and plays an important role in distributing electrical energy in the power grid.

[0003] Transformers require regular inspection and maintenance during daily operation. By collecting and observing the operating data generated during the operation of the transformer, the fault status of the transformer can be quickly determined. However, at present, the collection of transformer operating data is basically carried out by staff using handheld testing tools. In large power distribution networks, there are a large number of transformers, and the labor intensity of the staff is relatively high. Summary of the Invention

[0004] In view of this, the present invention proposes a method for visual monitoring of intelligent power distribution network operation data, which can automatically collect transformer operation data and display it visually, facilitating unified monitoring of transformers.

[0005] The technical solution of this invention is implemented as follows:

[0006] A method for visual monitoring of smart distribution network operation data includes the following steps:

[0007] Step S1: Establish a moving track around the transformer, place a controllable moving trolley on the moving track, set a metal tennis ball on the side wall of the controllable moving trolley, and install current and voltage collectors on the transformer's inlet and outlet lines.

[0008] Step S2: Construct a 3D model of the transformer, including the main body area of ​​the transformer and the transformer's incoming and outgoing line areas;

[0009] Step S3: Control the controllable mobile trolley to drive the metal tennis ball to rotate around the transformer to obtain leakage magnetic data;

[0010] Step S4: Collect the incoming and outgoing line voltage and current data of the transformer using a current and voltage acquisition device, compare the incoming and outgoing line voltage and current data with the data on the transformer nameplate, and obtain the operating status.

[0011] Step S5: Update the 3D diagram of the transformer based on leakage flux data, incoming and outgoing line voltage and current data, and operating status.

[0012] Preferably, the controllable mobile trolley is equipped with a current transformer, which is used to collect the induced current generated when the metal tennis ball is cut and the leakage magnetic field is detected.

[0013] Preferably, the specific steps of step S3 are as follows:

[0014] Step S31: The controllable mobile trolley drives the metal tennis ball and the current transformer to rotate around the transformer.

[0015] Step S32: The metal tennis ball cuts the leakage flux of the transformer and generates an induced current;

[0016] Step S33: The current transformer collects the induced current;

[0017] Step S34: Convert the induced current into an induced current waveform according to the numerical change.

[0018] Step S35: Input the induced current waveform into the trained neural network, which will process the data and obtain leakage magnetic field data.

[0019] Preferably, in step S35, when inputting the induced current waveform into the trained neural network, the induced current waveform is segmented according to a specified time period and then sequentially input into the neural network.

[0020] Preferably, the controllable mobile trolley is also equipped with a camera, which is used to capture images of the nameplate on the outer surface of the transformer.

[0021] Preferably, the specific steps of step S4 are as follows:

[0022] Step S41: The current and voltage acquisition device acquires the incoming and outgoing line voltage and current data of the transformer;

[0023] Step S42: The camera transmits the acquired nameplate image data to the image processing software;

[0024] Step S43: Image processing software extracts the rated voltage, rated current, and calibration winding from the nameplate image data;

[0025] Step S44: Compare the incoming and outgoing line voltage and current data with the rated voltage and rated current, obtain the calculated winding based on the incoming and outgoing line voltage and current data, and compare the calculated winding with the calibrated winding.

[0026] Step S45: Obtain the running status based on the comparison results.

[0027] Preferably, the operating status includes normal operation and abnormal operation.

[0028] Preferably, the specific steps of step S5, which updates the three-dimensional diagram of the transformer based on the leakage flux data, are as follows: a leakage flux ring is established around the main body area of ​​the transformer, and the leakage flux ring is colored according to the different leakage flux data, with the intensity of the color indicating the severity of the leakage flux.

[0029] Preferably, the specific steps of updating the three-dimensional diagram of the transformer based on the incoming and outgoing line voltage and current data in step S5 are as follows: the incoming and outgoing line voltage and current data are directly added to the incoming and outgoing line areas of the transformer.

[0030] Preferably, the three-dimensional transformer diagram further includes a status display area. The specific steps of step S5 to update the three-dimensional transformer diagram according to the operating status are as follows: display the words "operating normally" or "operating abnormally" in the status display area.

[0031] Compared with the prior art, the beneficial effects of the present invention are:

[0032] This invention provides a method for visually monitoring the operation data of a smart power distribution network. It monitors the operation of transformers by using a movable metal tennis ball to detect transformer magnetic leakage and generate leakage data. Voltage and current data of the transformer's incoming and outgoing lines are collected by a voltage and current acquisition device and compared with data on the transformer's nameplate to generate an operating status. Based on the leakage data, the transformer's incoming and outgoing line voltage and current data, and the operating status, the constructed 3D transformer diagram can be updated. Staff can observe the updated 3D transformer diagram to judge the transformer's operating condition, avoiding the need for manual data collection and monitoring of each transformer individually, greatly reducing the workload of staff. Attached Figure Description

[0033] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only preferred embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0034] Figure 1 This is a flowchart of a method for visually monitoring and controlling the operation data of an intelligent power distribution network according to the present invention;

[0035] Figure 2 This is a schematic diagram of a transformer and data acquisition equipment for a smart distribution network operation data visualization monitoring method according to the present invention;

[0036] Figure 3 This is a schematic diagram of a transformer's three-dimensional image, representing a method for visually monitoring and controlling intelligent power distribution network operation data according to the present invention.

[0037] In the diagram, 1 is the moving track, 2 is the controllable moving trolley, 3 is the metal tennis ball, 4 is the current and voltage acquisition device, 5 is the main body area of ​​the transformer, 6 is the transformer inlet and outlet line area, 7 is the current transformer, 8 is the camera, 9 is the leakage magnetic ring, and 10 is the status display area. Detailed Implementation

[0038] To better understand the technical content of this invention, a specific embodiment is provided below, and the invention will be further described in conjunction with the accompanying drawings.

[0039] See Figures 1 to 3 The present invention provides a method for visual monitoring of smart distribution network operation data, comprising the following steps:

[0040] Step S1: Establish a moving track 1 around the transformer, place a controllable moving trolley 2 on the moving track 1, set a metal tennis ball 3 on the side wall of the controllable moving trolley 2, and install current and voltage collectors 4 on the transformer's inlet and outlet lines.

[0041] Step S2: Construct a 3D model of the transformer, including the main body area 5 of the transformer and the transformer inlet and outlet lines area 6;

[0042] Step S3: Control the controllable mobile trolley 2 to drive the metal tennis ball 3 to rotate around the transformer to obtain leakage magnetic data;

[0043] Step S4: Collect the incoming and outgoing line voltage and current data of the transformer through the current and voltage acquisition device 4, compare the incoming and outgoing line voltage and current data with the data on the transformer nameplate, and obtain the operating status.

[0044] Step S5: Update the 3D diagram of the transformer based on leakage flux data, incoming and outgoing line voltage and current data, and operating status.

[0045] The present invention provides a method for intelligent distribution network operation data visualization monitoring, which automatically collects operation data of transformers in the distribution network, calculates the collected operation data to determine the operating status of the transformers, and then visualizes the collected data and operating status to facilitate remote monitoring of transformer operation by staff. This eliminates the need for staff to manually collect and test each transformer one by one with handheld data collection devices, thus reducing the workload of staff.

[0046] The transformer's operating data includes leakage flux data and input / output line voltage and current data. These two types of data are collected separately. For leakage flux data collection, a circular moving track 1 is established around the transformer. A controllable moving trolley 2 is mounted on the moving track 1. Through a programmed sequence, the trolley 2 can be controlled to move one revolution on the moving track 1 at regular intervals. A metal tennis ball 3 is placed at the bottom of the trolley 2. If leakage flux occurs in the transformer, the moving tennis ball 3 will cut the magnetic field lines and generate an induced current. By collecting this induced current, the leakage flux status on the transformer's outer surface can be obtained, thus acquiring leakage flux data. For the input / output line voltage and current data, current and voltage acquisition devices 4 are installed on the transformer's input and output lines respectively. These devices collect the voltage and current data from the transformer's input and output lines.

[0047] To enable staff to more intuitively view the transformer's status, this invention constructs a 3D model of the transformer. This 3D model simulates an actual transformer image, including the transformer's main body area 5 and the transformer's input / output line areas 6. After obtaining leakage flux data, it can be displayed in the transformer's main body area 5. After obtaining the input / output line voltage and current data, comparing it with the data on the transformer's nameplate yields the transformer's operating status. The input / output line voltage and current data are then updated in the transformer's input / output line areas 6, and the operating status is simultaneously updated in the 3D model. Staff can intuitively understand the transformer's leakage flux, input / output line voltage and current, and operating status through the 3D model.

[0048] Preferably, the controllable mobile trolley 2 is equipped with a current transformer 7, which is used to collect the induced current generated when the metal tennis ball 3 cuts the leakage magnetic field.

[0049] The current transformer 7 can collect the induced current generated when the metal tennis ball 3 cuts the leakage flux, and use it to calculate the leakage flux data.

[0050] Preferably, the specific steps of step S3 are as follows:

[0051] Step S31: The controllable mobile trolley 2 drives the metal tennis ball 3 and the current transformer 7 to rotate around the transformer.

[0052] Step S32: The metal tennis ball 3 cuts the leakage flux of the transformer and generates an induced current;

[0053] Step S33: Current transformer 7 collects induced current;

[0054] Step S34: Convert the induced current into an induced current waveform according to the numerical change.

[0055] Step S35: Input the induced current waveform into the trained neural network, which will process the data and obtain leakage magnetic field data.

[0056] When acquiring leakage magnetic field data, the controllable mobile trolley 2 is first driven to move. If leakage magnetic field occurs in the transformer, the metal tennis ball 3 can cut the leakage magnetic field and generate an induced current. The current transformer 7 can collect the magnitude of the induced current, process the induced current, and draw a waveform diagram to form an induced current waveform diagram. Then, the induced current waveform diagram is input into the neural network, which processes it and obtains the leakage magnetic field data. For the neural network used in this invention, a large amount of induced current waveform data is used for training in advance, and its processing results are tested. The neural network can accurately obtain the leakage magnetic field data of the corresponding induced current based on the induced current waveform data. In order to ensure the processing results of the neural network, the induced current waveform diagram needs to be cut according to a specified time period and then input sequentially.

[0057] Preferably, the controllable mobile trolley 2 is also equipped with a camera 8, which is used to capture images of the nameplate on the outer surface of the transformer.

[0058] The camera 8 is used to capture images of the transformer's nameplate. After image capture, the transformer's nameplate image data can be obtained for comparison with the incoming and outgoing line voltage and current data.

[0059] Preferably, the specific steps of step S4 are as follows:

[0060] Step S41: Current and voltage acquisition device 4 acquires the incoming and outgoing line voltage and current data of the transformer;

[0061] Step S42: The camera 8 transmits the acquired nameplate image data to the image processing software;

[0062] Step S43: Image processing software extracts the rated voltage, rated current, and calibration winding from the nameplate image data;

[0063] Step S44: Compare the incoming and outgoing line voltage and current data with the rated voltage and rated current, obtain the calculated winding based on the incoming and outgoing line voltage and current data, and compare the calculated winding with the calibrated winding.

[0064] Step S45: Obtain the operating status based on the comparison results. The operating status includes normal operation and abnormal operation.

[0065] After collecting the incoming and outgoing line voltage and current data, the nameplate image data is first sent to the image processing software. The image processing software can identify the rated voltage, rated current, and rated winding data on the nameplate, compare the incoming and outgoing line voltage and current data with the rated voltage and rated current, and calculate the actual winding based on the incoming and outgoing line voltage and current data. The actual winding is then compared with the rated winding to determine if there is a significant difference. If the difference is significant, it is determined that the transformer is abnormal, i.e., an operational anomaly. If the difference is small, the transformer can be considered to be operating normally.

[0066] Preferably, the specific steps of updating the three-dimensional diagram of the transformer in step S5 based on leakage flux data, incoming and outgoing line voltage and current data, and operating status are as follows: a leakage flux ring 9 is established around the main body area 5 of the transformer; the leakage flux ring 9 is colored according to the different leakage flux data, and the intensity of the color indicates the severity of leakage flux; the incoming and outgoing line voltage and current data are directly added to the incoming and outgoing line areas 6 of the transformer; the three-dimensional diagram of the transformer also includes a status display area 10, in which the words "operating normally" or "operating abnormally" are displayed.

[0067] After obtaining leakage flux data, incoming and outgoing line voltage and current data, and operating status, the 3D diagram of the transformer can be updated. When leakage flux occurs in the transformer, a leakage flux ring 9 is established around the main body area 5 of the transformer. The leakage flux ring 9 is colored according to the leakage flux data, with darker colors indicating more severe leakage flux. Staff can rotate the 3D diagram of the transformer to view the overall leakage flux status of the transformer. The incoming and outgoing line voltage and current data can be directly displayed in the form of data on the incoming and outgoing line areas 6 of the transformer, making it convenient for staff to view the specific values. At the same time, a status display area 10 is established in the 3D diagram of the transformer, directly displaying the words "abnormal operation" or "normal operation" in the status display area 10 for easy viewing by staff.

[0068] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A method for visually monitoring and controlling the operation data of a smart distribution network, characterized in that, Includes the following steps: Step S1: Establish a moving track around the transformer, place a controllable moving trolley on the moving track, set a metal tennis ball on the side wall of the controllable moving trolley, and install current and voltage collectors on the transformer's inlet and outlet lines. Step S2: Construct a 3D model of the transformer, including the main body area of ​​the transformer and the transformer inlet and outlet lines. Step S3: Control the controllable mobile trolley to drive the metal tennis ball to rotate around the transformer to obtain leakage magnetic data; Step S4: Collect the incoming and outgoing line voltage and current data of the transformer using a current and voltage acquisition device, compare the incoming and outgoing line voltage and current data with the data on the transformer nameplate, and obtain the operating status. Step S5: Update the 3D diagram of the transformer based on leakage flux data, incoming and outgoing line voltage and current data, and operating status; The controllable mobile trolley is equipped with a current transformer, which is used to collect the induced current generated when the metal tennis ball is cut and the leakage magnetic field is leaked. The specific steps of step S3 are as follows: Step S31: The controllable mobile trolley drives the metal tennis ball and the current transformer to rotate around the transformer. Step S32: The metal tennis ball cuts the leakage flux of the transformer and generates an induced current; Step S33: The current transformer collects the induced current; Step S34: Convert the induced current into an induced current waveform according to the numerical change. Step S35: Input the induced current waveform into the trained neural network, which will process the data and obtain leakage magnetic field data.

2. The method for visual monitoring of smart distribution network operation data according to claim 1, characterized in that, When inputting the induced current waveform into the trained neural network in step S35, the induced current waveform is segmented according to a specified time period and then input into the neural network sequentially.

3. The method for visual monitoring of smart distribution network operation data according to claim 1, characterized in that, The controllable mobile trolley is also equipped with a camera, which is used to capture images of the nameplate on the outer surface of the transformer.

4. The method for visual monitoring of smart distribution network operation data according to claim 3, characterized in that, The specific steps of step S4 are as follows: Step S41: The current and voltage acquisition device acquires the incoming and outgoing line voltage and current data of the transformer; Step S42: The camera transmits the acquired nameplate image data to the image processing software; Step S43: Image processing software extracts the rated voltage, rated current, and calibration winding from the nameplate image data; Step S44: Compare the incoming and outgoing line voltage and current data with the rated voltage and rated current, obtain the calculated winding based on the incoming and outgoing line voltage and current data, and compare the calculated winding with the calibrated winding. Step S45: Obtain the running status based on the comparison results.

5. The method for visual monitoring of smart distribution network operation data according to claim 1, characterized in that, The operating status includes normal operation and abnormal operation.

6. The method for visual monitoring of smart distribution network operation data according to claim 1, characterized in that, The specific steps of updating the three-dimensional diagram of the transformer based on the leakage magnetic data in step S5 are as follows: a leakage magnetic ring is established around the main body area of ​​the transformer, and the leakage magnetic ring is colored according to the different leakage magnetic data. The intensity of the color indicates the severity of the leakage magnetic field.

7. The method for visual monitoring of smart distribution network operation data according to claim 1, characterized in that, The specific steps of updating the three-dimensional diagram of the transformer based on the incoming and outgoing line voltage and current data in step S5 are as follows: directly add the incoming and outgoing line voltage and current data to the incoming and outgoing line areas of the transformer.

8. The method for visual monitoring of smart distribution network operation data according to claim 5, characterized in that, The three-dimensional diagram of the transformer also includes a status display area. The specific steps of step S5 to update the three-dimensional diagram of the transformer according to the operating status are as follows: display the words "operating normally" or "operating abnormally" in the status display area.

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