Data-driven transmission line icing prediction and processing method
Patent Information
- Application Number
- CN202310272702.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2023-03-20
- Publication Date
- 2026-09-29
- Estimated Expiration
- 2043-03-20
AI Technical Summary
[0005]本发明的目的在于提供基于数据驱动的输电线路覆冰预测及处理方法,旨在解决对多条线路的除冰作业时,除冰成本较高的问题
[0016]本发明提供的基于数据驱动的输电线路覆冰预测及处理方法的有益效果在于:与现有技术相比,本发明基于数据驱动的输电线路覆冰预测及处理方法中首先使间隔棒上的多个线夹分别安装在多条线路上,当出现覆冰后,冰层会附着在线路上,由于线路上所受向下作用力增大,因此线路会弯曲变形,最终使得间隔棒的空间位置发生变化。
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Figure CN117080974B_ABST
Abstract
Description
Technical Field
[0001] This invention belongs to the field of icing treatment technology, and more specifically, relates to a data-driven method for predicting and treating icing on transmission lines. Background Technology
[0002] For a long time, domestic power companies, research institutions, design institutes, equipment manufacturers and other units have conducted research and exploration on power grid anti-icing technology, and have gradually formed a comprehensive ice disaster prevention and control technology system of "avoidance, resistance, melting, prevention and modification".
[0003] If the climate conditions along the route of a transmission line are complex, severe icing can easily occur, seriously affecting the safe and stable operation of the transmission line. Currently, the most economical and effective method to mitigate icing losses on transmission lines is to perform current-based de-icing. Ground wires have high inductive reactance, so DC de-icing is generally used. However, UHV transmission lines typically have ground wires directly connected to the ground, making it impossible to directly apply de-icing current to the overhead ground wire. Existing ground wire de-icing technologies generally use two ground wires connected in series for de-icing. However, UHV ground wires are long and have high resistance, making conventional de-icing devices unable to meet the de-icing capacity requirements.
[0004] Currently available de-icing devices are typically complex in structure, and more seriously, multiple devices are required to ensure de-icing operations on multiple lines, resulting in high de-icing costs. Summary of the Invention
[0005] The purpose of this invention is to provide a data-driven method for predicting and handling icing on transmission lines, aiming to solve the problem of high de-icing costs when performing de-icing operations on multiple lines.
[0006] To achieve the above objectives, the technical solution adopted by this invention is: to provide a data-driven method for predicting and processing icing on transmission lines, comprising: This allows multiple clamps on the spacer bar to be installed on multiple lines respectively; After icing occurs on the line, the degree of icing is calculated based on the changes in the spatial position of the spacer bars and in combination with relevant data and technology. When de-icing is required, the spacers cause multiple lines to vibrate simultaneously, thereby de-icing the multiple lines.
[0007] In one possible implementation, calculating the degree of icing based on the change in the spatial position of the spacer bar and in conjunction with relevant data and technology includes: The current position information of the spacer is transmitted in real time through the position sensor on the spacer. The stress and strain changes of the line are measured in real time by a stress and strain sensor between the clamp and the line.
[0008] In one possible implementation, calculating the degree of icing based on the change in the spatial position of the spacer bar and in conjunction with relevant data and technology includes: By integrating the location information with relevant historical data, multiple icing cases were finally identified. Multiple icing cases are simulated in the host computer. When the simulated stress and strain value at the same location on the line is the same as the value fed back by the stress and strain sensor, the icing case is taken as the final icing condition of the line.
[0009] In one possible implementation, the simultaneous vibration of the multiple lines via the spacer bar includes: Start the motor installed on the spacer bar, and the motor will cause multiple lines to vibrate simultaneously.
[0010] In one possible implementation, the simultaneous vibration of multiple lines by the motor includes: The motor drives multiple transmission rods to reciprocate synchronously. The transmission rods strike the corresponding circuits with the help of the motor, causing the circuits to vibrate and thus de-icing.
[0011] In one possible implementation, the spacer bar is provided with multiple connecting arms, and multiple wire clamps are mounted on the corresponding connecting arms; the transmission rod is slidably disposed on the connecting arms.
[0012] In one possible implementation, a spring is installed between the transmission rod and the connecting arm.
[0013] In one possible implementation, the output shaft of the motor is provided with a plurality of clearance slots, which are used to simultaneously cause a plurality of transmission rods to move synchronously.
[0014] In one possible implementation, a rolling element is mounted on the end of the transmission rod facing the output shaft.
[0015] In one possible implementation, a photovoltaic panel is mounted on the motor.
[0016] The beneficial effects of the data-driven transmission line icing prediction and processing method provided by the present invention are as follows: Compared with the prior art, the data-driven transmission line icing prediction and processing method of the present invention first installs multiple clamps on the spacer bar on multiple lines respectively. When icing occurs, the ice layer will adhere to the line. Due to the increase of the downward force on the line, the line will bend and deform, which will eventually cause the spatial position of the spacer bar to change.
[0017] By analyzing the spatial position changes of the spacers and combining relevant data and technology, the degree of icing on the lines can be roughly estimated. Furthermore, when icing operations are required, because the spacers are connected and positioned to multiple lines via multiple clamps, the spacers can cause multiple lines to vibrate simultaneously, thus de-icing them at the same time.
[0018] In this application, the icing situation is inferred by the change in the spatial position of the spacer. The steps are simple and direct. Moreover, the spacer can be used to de-ice multiple lines, so the de-icing efficiency is higher and the de-icing cost is greatly reduced. Attached Figure Description
[0019] To more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.
[0020] Figure 1 A flowchart of a data-driven transmission line icing prediction and processing method provided in an embodiment of the present invention.
[0021] Figure 2 This is a schematic diagram showing the connection of the body, connecting arm, and transmission rod provided in an embodiment of the present invention.
[0022] In the diagram: 1. Body; 2. Connecting arm; 3. Cable clamp; 4. Transmission rod; 5. Output shaft; 6. Spring; 7. Rolling element. Detailed Implementation
[0023] To make the technical problems to be solved, the technical solutions, and the beneficial effects of the present invention clearer, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present invention and are not intended to limit the present invention.
[0024] Please see Figure 1 and Figure 2 The present invention will now describe the data-driven method for predicting and processing icing on transmission lines. The data-driven method for predicting and processing icing on transmission lines includes: The multiple clamps 3 on the spacer bar are installed on multiple lines respectively.
[0025] After icing occurs on the line, the degree of icing is calculated based on the changes in the spatial position of the spacers and in combination with relevant data and technology.
[0026] When de-icing is required, multiple lines are vibrated simultaneously using spacers to remove ice from them.
[0027] The beneficial effects of the data-driven transmission line icing prediction and processing method provided by the present invention are as follows: Compared with the prior art, the data-driven transmission line icing prediction and processing method of the present invention first installs multiple clamps 3 on multiple lines on the spacer bar. When icing occurs, the ice layer will adhere to the line. Due to the increase of the downward force on the line, the line will bend and deform, which will eventually cause the spatial position of the spacer bar to change.
[0028] By analyzing the spatial position changes of the spacer bars and combining relevant data and technology, the degree of icing on the line can be roughly estimated. Furthermore, when icing operations are required, because the spacer bars are connected and positioned to multiple lines via multiple clamps 3, the spacer bars can cause multiple lines to vibrate simultaneously, thus de-icing multiple lines at the same time.
[0029] In this application, the icing situation is inferred by the change in the spatial position of the spacer. The steps are simple and direct. Moreover, the spacer can be used to de-ice multiple lines, so the de-icing efficiency is higher and the de-icing cost is greatly reduced.
[0030] Icing on transmission lines poses a significant threat to the safe operation of the power grid. Severe icing can cause enormous economic losses. Therefore, it is essential to strengthen the monitoring and early warning of icing on transmission lines in icing areas to prevent icing incidents from escalating and ensure the safe operation of lines in icing zones. Currently, manual ice observation plays a crucial role in icing prevention and control efforts as the primary method for monitoring line icing. However, in practical applications, manual ice observation has its limitations.
[0031] Ice thickness measurement using fallen ice samples is not standardized. Compared to methods such as observing ice thickness using simulated conductors, tower materials, and estimating ice thickness on-site, ice thickness measurement using fallen ice samples from tower conductors and ground wires has higher accuracy. However, due to the lack of relevant technical specifications, there are certain misconceptions in the measurement methods used during ice thickness measurement. For example, calculating ice thickness using the major and minor diameter method or the weighing method results in an underestimated result; when directly measuring ice thickness with vernier calipers, multiple measurements are not taken and averaged, resulting in unrepresentative results; and ice thickness measurement is not timely, with measurements taken 1-2 days after the ice sample falls.
[0032] In some embodiments of the data-driven transmission line icing prediction and processing method provided in this application, the degree of icing is calculated based on the changes in the spatial position of spacers and in combination with relevant data and technology, including: The current position information of the spacer is transmitted in real time through the position sensor on the spacer.
[0033] The stress and strain changes of the line are measured in real time by a stress and strain sensor between clamp 3 and the line.
[0034] In order to predict the icing situation on the line, the existing technology mostly relies on manual inspection and taking pictures to infer the distribution and thickness of the ice layer. However, the above methods consume a lot of manpower and resources. In addition, since the formation of ice layer is affected by many external factors, it is difficult to make an effective and accurate judgment on the actual situation of the ice layer by simply relying on external analysis.
[0035] This application provides a low-cost and timely device for predicting icing. More importantly, it enables de-icing after predicting icing, thereby greatly reducing safety accidents and ensuring the normal operation of the power system.
[0036] To effectively predict icing conditions, a stress-strain sensor is fixed within each clamp 3 of the spacer bar. The sensor rests against the line via the clamp 3, measuring changes in stress and strain on the line. A position sensor is installed on the spacer bar to detect its current spatial position in real time. Using data detected by the position and stress-strain sensors, combined with current line environmental parameters, a corresponding case is selected from historical data to determine the icing condition of the line.
[0037] In some embodiments of the data-driven transmission line icing prediction and processing method provided in this application, the degree of icing is calculated based on the changes in the spatial position of spacers and in combination with relevant data and technology, including: By integrating location information with relevant historical data, multiple cases of icing were ultimately identified.
[0038] Multiple icing cases are simulated in the host computer. When the simulated stress and strain value at the same location on the line is the same as the value fed back by the stress and strain sensor, the icing case is taken as the final icing situation of the line.
[0039] When there is a lot of ice on the railway line, the total weight of the line and the ice layer will be greater, resulting in a greater degree of bending of the entire line and corresponding changes in the stress and strain of the line. This application analyzes the data returned by position sensors and stress-strain sensors, and combines this with historical data to make inferences.
[0040] The specific implementation involves first creating a corresponding model in the host computer based on the circuit specifications, and then constructing spacer models at the corresponding positions on the model. After the model is completed, it is necessary to set the same material according to the actual situation so that the model can undergo the same bending deformation under the same external environment.
[0041] After all the above-mentioned accurate work is completed, select several cases from historical data that are relatively close to the current line environment, and then set these cases in the host computer for simulation. Determine the changes in the position of the spacer model in each case and the changes in stress and strain at the corresponding position of the line at the spacer. Finally, take the case fed back by the sensor that is closest to reality as the current icing situation of the line.
[0042] In some embodiments of the data-driven transmission line icing prediction and processing method provided in this application, please refer to... Figure 2 The simultaneous vibration of multiple lines via spacers includes: The motor installed on the start-up spacer bar causes multiple lines to vibrate simultaneously.
[0043] Existing de-icing methods often involve installing a de-icing robot on the power line, which performs the de-icing operation by moving back and forth. However, it should be noted that the robot can only perform de-icing operations on one line at a time. More seriously, there are multiple parallel lines between power poles, and it is impractical for a single robot to de-ic multiple lines simultaneously due to the enormous resistance and energy consumption.
[0044] The problem encountered in application is that spacers are usually installed between multiple lines. The presence of spacers obstructs the robot, and setting up a robot that can climb over spacers involves a complex structure and high cost.
[0045] To address the aforementioned issues, this application includes a motor installed on the spacer bar. The rotation of the motor causes the spacer bar to vibrate at a high frequency for a short period of time. The vibration of the spacer bar is ultimately transmitted to the line through the clamp 3, causing the line to vibrate and thus achieving the de-icing effect.
[0046] In some embodiments of the data-driven transmission line icing prediction and processing method provided in this application, please refer to... Figure 2 The simultaneous vibration of multiple lines by a motor includes: Multiple transmission rods 4 are driven by a motor to reciprocate synchronously. The transmission rods 4 strike the corresponding lines with the help of the motor, causing the lines to vibrate and thus de-icing.
[0047] While a vibratory motor is convenient for installation, as de-icing is achieved through the eccentric movement of the rotor, this application requires simultaneous de-icing of multiple lines positioned on the spacer bars. This places demands on the specifications of the vibratory motor. However, in reality, fixing a large motor to the lines reduces line stability and may necessitate a separate lead wire to power the motor.
[0048] The spacer bar in this application includes a body 1 and multiple wire clamps 3 connected to the body 1. In this application, the motor is installed at the center of the spacer bar body 1, and multiple transmission rods 4 are installed on the body 1. The multiple transmission rods 4 correspond one-to-one with multiple lines. The rotation of the motor will drive the transmission rods 4 to move. The movement of the transmission rods 4 will impact the lines to achieve an impact effect. With the impact effect of the transmission rods 4 on the lines, the ice layer on the lines will be vibrated and broken.
[0049] In some embodiments of the data-driven transmission line icing prediction and processing method provided in this application, please refer to... Figure 2 The spacer bar is provided with multiple connecting arms 2, and multiple wire clamps 3 are installed on the corresponding connecting arms 2; the transmission rod 4 is slidably set on the connecting arm 2.
[0050] To illustrate in more detail, multiple connecting arms 2 are first provided on the main body 1. The connecting arms 2 are arranged at intervals along the circumference of the main body 1, and the connecting arms 2 are integrally formed with the main body 1, extending outward from the main body 1. Multiple wire clamps 3 are respectively installed on the corresponding connecting arms 2, while the transmission rod 4 is slidably disposed on one side of the connecting arm 2.
[0051] To illustrate in more detail, a motor is installed in the middle of the main body 1. The motor's output shaft 5 is located on one side of the main body 1, and the output shaft 5 and the connecting arm 2 are on the same side of the main body 1. One end of the transmission rod 4 extends inward, and the other end extends along the connecting arm 2 until it reaches the wiring. In practical applications, the rotation of the motor output shaft 5 will impact the transmission rod 4. After being impacted, the end of the transmission rod 4 will slide along the connecting arm 2 until it impacts the wiring.
[0052] It should be noted that in this application, the output shaft 5 rotates once, causing multiple transmission rods 4 to move sequentially. Taking the spacer bar as an example, which has 5 lines positioned on it and thus 5 transmission rods 4 connected to it, the output shaft 5 rotates once, and the 5 transmission rods 4 will move sequentially. Compared with traditional vibration motors, the vibration frequency is increased, thus the de-icing effect is stronger.
[0053] In some embodiments of the data-driven transmission line icing prediction and processing method provided in this application, please refer to... Figure 2 A spring 6 is installed between the transmission rod 4 and the connecting arm 2.
[0054] To ensure continuous impact of the transmission rod 4 onto the circuit, a spring 6 is connected between the transmission rod 4 and the main body 1. For further explanation, a connecting cover is provided on one side of the connecting arm 2, through which the transmission rod 4 passes. The spring 6 is installed inside the connecting cover. Rotation of the output shaft 5 impacts the transmission rod 4, and the movement of the transmission rod 4 deforms the spring 6, accumulating elastic potential energy. After the impact on the circuit is complete and the output shaft 5 has rotated a certain angle, the transmission rod 4 returns to its original position under the action of the spring 6, until the output shaft 5 rotates again by the corresponding angle and impacts the transmission rod 4, ultimately achieving continuous impact on the circuit.
[0055] In some embodiments of the data-driven transmission line icing prediction and processing method provided in this application, please refer to... Figure 2 The output shaft 5 of the motor is provided with multiple clearance slots, which are used to make multiple transmission rods 4 move synchronously at the same time.
[0056] Under the action of the output shaft 5, multiple transmission rods 4 need to reciprocate. If the outer surface of the output shaft 5 is a cylindrical surface, it is obviously difficult to achieve cyclic impact on the transmission rods 4.
[0057] Therefore, multiple clearance slots are provided along the circumference of the output shaft 5. To prevent multiple lines from swaying within a certain range following the spacer bar under the action of the motor, the output shaft 5 needs to simultaneously compress multiple transmission rods 4, and the multiple transmission rods 4 need to reset simultaneously. That is, it is necessary to ensure that after the output shaft 5 rotates a certain angle, the multiple transmission rods 4 reset simultaneously. Therefore, the multiple clearance slots correspond one-to-one with the multiple transmission rods 4, the distance between two adjacent transmission rods 4 is the same, and the dimensions of the clearance slots are also the same. Through the above arrangement, the multiple transmission rods 4 are simultaneously subjected to the force of the output shaft 5, which can, to a certain extent, cancel out the force on the spacer bar and ensure the stability of the circuit.
[0058] In some embodiments of the data-driven transmission line icing prediction and processing method provided in this application, please refer to... Figure 2 A rolling element 7 is installed at the end of the transmission rod 4 facing the output shaft 5.
[0059] To reduce the running resistance between the transmission rod 4 and the output shaft 5, a rolling element 7 is installed at the end of the transmission rod 4. The rolling element 7 can be a roller or a ball. At the same time, the clearance groove has an approximately trapezoidal structure, thereby reducing the impact force of the output shaft 5 on the transmission rod 4, so that the energy loss caused by the impact can be minimized when the transmission rod 4 can move to the designated position.
[0060] In some embodiments of the data-driven transmission line icing prediction and processing method provided in this application, a photovoltaic panel is installed on the motor.
[0061] By installing photovoltaic panels, a certain amount of electrical energy can be stored for the operation of the motor. More importantly, it avoids a series of problems such as inconvenience and interference caused by running separate leads for the motor.
[0062] The above are merely preferred embodiments of the present invention and are not intended to limit the present invention. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention should be included within the protection scope of the present invention.
Claims
1. A data-driven method for predicting and processing icing on transmission lines, characterized in that, include: This allows multiple clamps on the spacer bar to be installed on multiple lines respectively; After icing occurs on the line, the degree of icing is calculated based on the change in the spatial position of the spacer bars and in combination with relevant data and technology. The calculation of the degree of icing based on the changes in the spatial position of the spacer bars and in conjunction with relevant data and technology includes: The current position information of the spacer is transmitted in real time through the position sensor on the spacer; the stress and strain sensor between the clamp and the line is used to measure the changes in stress and strain of the line in real time. The location information is integrated with relevant historical data to identify multiple icing cases. Simulations of these icing cases are performed on a host computer. When the simulated stress-strain value at the same location on the line is the same as the value fed back by the stress-strain sensor, the icing case is taken as the final icing condition of the line. When de-icing is required, the spacers cause multiple lines to vibrate simultaneously, thereby de-icing the multiple lines.
2. The data-driven transmission line icing prediction and processing method as described in claim 1, characterized in that, The simultaneous vibration of multiple lines via the spacer bar includes: Start the motor installed on the spacer bar, and the motor will cause multiple lines to vibrate simultaneously.
3. The data-driven transmission line icing prediction and processing method as described in claim 2, characterized in that, The simultaneous vibration of multiple lines by the motor includes: The motor drives multiple transmission rods to reciprocate synchronously. The transmission rods strike the corresponding circuits with the help of the motor, causing the circuits to vibrate and thus de-icing.
4. The data-driven transmission line icing prediction and processing method as described in claim 3, characterized in that, The spacer bar is provided with multiple connecting arms, and multiple wire clamps are installed on the corresponding connecting arms; the transmission rod is slidably disposed on the connecting arm.
5. The data-driven transmission line icing prediction and processing method as described in claim 4, characterized in that, A spring is installed between the transmission rod and the connecting arm.
6. The data-driven transmission line icing prediction and processing method as described in claim 3, characterized in that, The output shaft of the motor is provided with multiple clearance slots, which are used to simultaneously enable multiple transmission rods to move synchronously.
7. The data-driven transmission line icing prediction and processing method as described in claim 6, characterized in that, A rolling element is mounted on the end of the transmission rod facing the output shaft.
8. The data-driven transmission line icing prediction and processing method as described in claim 2, characterized in that, The motor is equipped with a photovoltaic panel.
Citation Information
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