Power transmission line deicing method, system and intelligent terminal

Abstract

The application relates to a power transmission line deicing method, a system and an intelligent terminal, and relates to the technical field of power transmission line deicing. The application comprises the following steps: acquiring historical icing data of a preset power transmission line; the historical icing data is characterized by historical icing times, corresponding historical icing thickness and corresponding historical icing length of different positions of the power transmission line; analyzing the historical icing data and a preset device deicing thickness to determine a device deployment strategy of the power transmission line; deploying a preset expansion device on the power transmission line according to the device deployment strategy; acquiring real-time environmental data; and controlling the expansion device to expand inside an ice layer to deice the power transmission line according to the real-time environmental data. The application has the effect of improving the deicing effect of the power transmission line.

Description

Technical Field

[0001] This application relates to the technical field of power transmission line de-icing, and in particular to a method, system and intelligent terminal for power transmission line de-icing. Background Technology

[0002] De-icing of power transmission lines is an important maintenance task to prevent serious accidents such as line breakage or tower collapse caused by the accumulation of ice and snow.

[0003] In related technologies, de-icing of power transmission lines typically uses de-icing robots. These robots include a walking component, a heating component, and an ice-breaking component. The walking component controls the robot's movement along the power transmission line, while the heating component is located at both ends of the robot to heat the de-iced or unde-iced power transmission lines. The ice-breaking component usually consists of a combination of a motor and a hammer. The motor drives the hammer to continuously strike the ice layer on the power transmission line, causing the ice layer to fall off.

[0004] Regarding the aforementioned technologies, the striking force of the ice-breaking components on the de-icing robot is limited. When the ice layer on the power transmission line is thick, the de-icing robot needs to spend a long time removing the ice layer, or it cannot effectively remove the ice layer, resulting in poor de-icing effect on the power transmission line. There is still room for improvement. Summary of the Invention

[0005] To improve the de-icing effect of power transmission lines, this application provides a method, system, and intelligent terminal for de-icing power transmission lines.

[0006] Firstly, this application provides a method for de-icing power transmission lines, employing the following technical solution: A method for de-icing power transmission lines includes: Acquire historical icing data of a preset power transmission line; the historical icing data is characterized by the number of historical icing events, the corresponding historical icing thickness, and the corresponding historical icing length at different locations of the power transmission line. Historical icing data and preset de-icing thickness are analyzed to determine the equipment deployment strategy for power transmission lines. According to the device deployment strategy, the pre-set expansion device is deployed on the power transmission line; Obtain real-time environmental data; Based on real-time environmental data, the control device expands inside the ice layer to de-ice the power transmission line.

[0007] By adopting the above technical solution, the device deployment strategy is determined after analyzing historical icing data and device de-icing thickness. Based on the device deployment strategy, the spreading device is deployed on the power transmission line at locations with a high probability of icing and thick icing. The spreading device is controlled to spread the ice layer inside the power transmission line according to real-time environmental data to peel the ice layer off the power transmission line, without having to consider the problem that external knocking cannot effectively remove the ice layer, thereby improving the de-icing effect of the power transmission line.

[0008] Optionally, the steps of analyzing historical icing data and preset de-icing thicknesses to determine the equipment deployment strategy for power transmission lines include: Historical icing data and the thickness of the de-icing device were analyzed to determine whether the thickness of the transmission line matched the icing data. The thickness of the ice-forming data and the thickness of the de-icing device are analyzed to determine the total number of ice formations and the thickness of the transmission line. The number of ice formations and the number of thickness coincidences were analyzed to determine the probability of excessively thick icing on transmission lines. The thickness conforms to the icing data, the corresponding ultra-thick icing probability, and the preset fixed deployment probability are analyzed to determine the fixed deployment data and the adjustable deployment data; Analyze both fixed and adjustable deployment data to determine the equipment deployment strategy for power transmission lines.

[0009] By adopting the above technical solution, thickness data that matches the historical icing data is selected, and the probability of excessively thick icing is calculated based on the thickness data that matches the icing data. Based on the probability of excessively thick icing, the thickness data that matches the icing data is defined as fixed deployment data or adjustable deployment data. This ensures that the deployment strategy for the expansion device matches the actual icing situation of the transmission line, and avoids situations where expansion devices are not deployed or are deployed in small numbers in areas with thicker ice layers, while more expansion devices are deployed in areas with thinner ice layers. This improves the accuracy and reliability of the deployment strategy.

[0010] Optionally, the steps of analyzing fixed deployment data and adjustable deployment data to determine the equipment deployment strategy for transmission lines include: The fixed deployment data and the adjustable deployment data are analyzed separately to determine the fixed deployment location, fixed deployment length, adjustable deployment location, and adjustable deployment length; The fixed deployment length and the preset baseline fixed length are analyzed to determine the number of fixed deployments; Associate fixed deployment locations and fixed deployment quantities to generate fixed deployment policies; The adjustable deployment length and the preset baseline adjustable length are analyzed to determine the number of adjustable deployments; Associate adjustable deployment locations and adjustable deployment quantities to generate adjustable deployment strategies; Associate fixed deployment strategies and adjustable deployment strategies to generate device deployment strategies.

[0011] By adopting the above technical solution, the number of fixed deployments is determined after calculating the fixed deployment length and the benchmark fixed length, and the number of adjustable deployments is determined after calculating the adjustable deployment length and the benchmark adjustable length. This ensures that all ice on the transmission line is removed with the optimal number of expansion devices, without causing ice residue, thereby improving the accuracy and reliability of the device deployment strategy.

[0012] Optionally, the steps of analyzing the thickness conforming to icing data, the corresponding ultra-thick icing probability, and the preset fixed deployment probability to determine the fixed deployment data and adjustable deployment data include: Determine whether the probability of ultra-thick icing meets the requirements of the fixed deployment probability; If it does not meet the requirements, the corresponding thickness that meets the icing data will be defined as adjustable deployment data; If the conditions are met, the corresponding thickness that matches the icing data will be defined as fixed deployment data.

[0013] By adopting the above technical solution, when the probability of excessive icing does not meet the requirements of fixed deployment probability, it indicates that the probability of excessive icing thickness on the transmission line is low, and fixed deployment of the device is not required. Therefore, the corresponding thickness that meets the icing data is defined as adjustable deployment data. When the probability of excessive icing meets the requirements of fixed deployment probability, it indicates that the probability of excessive icing thickness on the transmission line is high, and fixed deployment of the device is required. This allows for the fastest possible de-icing, thereby improving the accuracy of both adjustable and fixed deployment data.

[0014] Optionally, the step of controlling the expansion device to expand inside the ice layer to de-ice the power transmission line based on real-time environmental data includes: Analyze real-time environmental data to determine the predicted icing location; Determine whether the predicted icing location meets the requirements of the equipment deployment strategy; If the conditions are met, the control device will be used to de-ice the power transmission line; If the conditions are not met, the predicted icing location and device deployment strategy will be analyzed to determine the need to adjust the deployment strategy. The position of the expansion device is adjusted according to the deployment strategy. After the position is adjusted, the expansion device is controlled to de-ice the power transmission line.

[0015] By adopting the above technical solution, when the predicted icing location does not meet the requirements of the device deployment strategy, the deployment strategy is adjusted after analyzing the predicted icing location and the device deployment strategy. The position of the spreading device is then adjusted according to the adjusted deployment strategy, so that the spreading device can de-ice the actual icing location, thereby improving the de-icing effect.

[0016] Optionally, the steps of controlling the spreading device to de-ice the transmission line include: Obtain the real-time icing thickness of the power transmission line; Determine whether the real-time icing thickness meets the preset de-icing thickness requirements; If it does not meet the requirements, continue to obtain the real-time ice thickness and perform loop judgment; If the conditions are met, the control device will open to peel the ice off the power line.

[0017] By adopting the above technical solution, when the real-time ice thickness meets the requirements for de-icing thickness, the opening device is controlled to open up to peel off the ice layer that exceeds the opening range of the opening device, thus preventing the opening device from only peeling off part of the ice layer because the ice layer is too thin, thereby improving the de-icing effect.

[0018] Optionally, the step of controlling the spreading device to spread open to peel the ice layer off the power line includes: Obtain the ice thickness of the preset ice-breaking zones on the transmission line; The ice-breaking zones and their corresponding ice thicknesses were analyzed to determine the thickest ice-breaking zone. Determine whether the thickest ice-breaking zone is the preset upper ice-breaking zone or the preset lower ice-breaking zone; If it is an upper ice-breaking zone, the upper opening plate in the control opening device is preset to open and separate the ice layer from the power transmission line; If it is the lower ice-breaking zone, the preset lower expansion plate in the control expansion device will expand to separate the ice layer from the power transmission line.

[0019] By adopting the above technical solution, after analyzing the ice-breaking zones and the corresponding ice thickness of the zones, the thickest ice-breaking zone is determined. When the thickest ice-breaking zone is determined to be the upper ice-breaking zone, the upper expansion plate is controlled to open to separate the ice layer from the power transmission line. When the thickest ice-breaking zone is determined to be the lower ice-breaking zone, the lower expansion plate is controlled to open to separate the ice layer from the power transmission line. The expansion device takes the lead in removing most of the ice layer, and the remaining ice layer is removed from the power transmission line by gravity after most of the ice layer is removed, thereby improving the de-icing effect.

[0020] Optionally, when controlling the spreading device to peel the ice layer off the power transmission line, an auxiliary peeling step is also included, specifically including: Obtain the actual spreading piece of the spreading device; Analyze the actual spreading plates to determine the auxiliary spreading plates; The auxiliary heating plate is controlled to heat the ice layer according to the preset auxiliary heating parameters, so as to drive the unexpanded ice layer to peel off from the power transmission line.

[0021] By adopting the above technical solution, the auxiliary expansion plate is heated to melt the ice layer according to the auxiliary heating parameters, thereby accelerating the speed at which the remaining ice layer is removed from the transmission line and improving the de-icing efficiency.

[0022] Secondly, this application provides a power transmission line de-icing system, which adopts the following technical solution: A power transmission line de-icing system, comprising: The acquisition module is used to acquire historical icing data and real-time environmental data; A memory for storing a program for a method of de-icing a power transmission line as described in any of the preceding claims; The processor and the program in the memory can be loaded and executed by the processor to implement a power line de-icing method as described in any of the above.

[0023] By adopting the above technical solution, the processor loads and executes a program for a power transmission line de-icing method stored in the memory, and the control acquisition module acquires a series of data related to power transmission line de-icing. After analyzing historical icing data and the de-icing thickness of the device, the device deployment strategy is determined. Based on the device deployment strategy, the spreading device is deployed on the power transmission line at locations with a high probability of icing and thick icing. Based on real-time environmental data, the spreading device is controlled to spread the ice layer inside the ice layer to peel the ice layer off the power transmission line, eliminating the problem that external knocking cannot effectively remove the ice layer, thereby improving the de-icing effect of the power transmission line.

[0024] Thirdly, this application provides a smart terminal, which adopts the following technical solution: A smart terminal includes a memory and a processor, wherein the memory stores a computer program that can be loaded by the processor and executed as described in any of the preceding claims for de-icing a power transmission line.

[0025] By adopting the above technical solution, and by operating a smart terminal, the processor loads and executes a computer program stored in the memory for a method of de-icing power transmission lines. After analyzing historical icing data and the thickness of the ice layer, the device deployment strategy is determined. Based on the device deployment strategy, the spreading device is deployed on the power transmission line at locations with a high probability of icing and a thicker ice layer. According to real-time environmental data, the spreading device is controlled to spread the ice layer inside the ice layer to peel it off the power transmission line, eliminating the problem that external knocking cannot effectively remove the ice layer, thereby improving the de-icing effect of the power transmission line.

[0026] In summary, this application includes at least one of the following beneficial technical effects: 1. By analyzing historical icing data and the thickness of the ice layer, the deployment strategy of the device is determined. Based on the deployment strategy, the spreading device is deployed in the transmission line at the location with a high probability of icing and a thicker ice layer. The spreading device is controlled to spread the ice layer inside the ice layer according to real-time environmental data to peel the ice layer off the transmission line, without having to consider the problem that external knocking cannot effectively remove the ice layer, thereby improving the de-icing effect of the transmission line. 2. By selecting historical icing data that matches the icing thickness, and then calculating the probability of excessively thick icing based on the thickness-matching icing data, the thickness-matching icing data is defined as fixed deployment data or adjustable deployment data based on the probability of excessively thick icing. This ensures that the deployment of the expansion device in the device deployment strategy matches the actual icing situation of the transmission line, and avoids situations where expansion devices are not deployed or are deployed in small numbers in areas with thicker ice layers, while more expansion devices are deployed in areas with thinner ice layers. This improves the accuracy and reliability of the device deployment strategy. 3. After analyzing the ice-breaking zones and the corresponding ice thickness in each zone, the thickest ice-breaking zone is determined. When the thickest ice-breaking zone is determined to be the upper ice-breaking zone, the upper expansion plate is controlled to open to separate the ice layer from the power transmission line. When the thickest ice-breaking zone is determined to be the lower ice-breaking zone, the lower expansion plate is controlled to open to separate the ice layer from the power transmission line. The expansion device takes the lead in removing most of the ice layer, while the remaining ice layer is removed from the power transmission line by gravity after most of the ice layer has been removed, thereby improving the de-icing effect. Attached Figure Description

[0027] Figure 1 This is a flowchart of a method for de-icing power transmission lines according to an embodiment of this application.

[0028] Figure 2 This is a flowchart illustrating the steps in this application embodiment to analyze historical icing data and preset device de-icing thickness to determine the device deployment strategy for the power transmission line.

[0029] Figure 3 This is a flowchart illustrating the steps in this application embodiment to analyze fixed deployment data and adjustable deployment data to determine the device deployment strategy for power transmission lines.

[0030] Figure 4 This is a flowchart illustrating the steps in this application embodiment to analyze the thickness conforming to icing data, the corresponding ultra-thick icing probability, and the preset fixed deployment probability to determine the fixed deployment data and the adjustable deployment data.

[0031] Figure 5 This is a flowchart illustrating the steps in this application embodiment of controlling the expansion device to expand inside the ice layer based on real-time environmental data to de-ice the power transmission line.

[0032] Figure 6This is a flowchart of the steps for controlling the spreading device to de-ice the power transmission line in the embodiments of this application.

[0033] Figure 7 This is a flowchart of the steps in this application embodiment of controlling the spreading device to spread open in order to peel the ice layer off the power transmission line.

[0034] Figure 8 This is a flowchart of the auxiliary stripping step in the embodiments of this application. Detailed Implementation

[0035] To make the purpose, technical solution, and advantages of this application clearer, the following description is provided in conjunction with the appendix. Figures 1 to 8 The present application will be further described in detail below with reference to embodiments. It should be understood that the specific embodiments described herein are for illustrative purposes only and are not intended to limit the scope of the application.

[0036] This application discloses a method for de-icing power transmission lines, specifically a processing terminal and a spreading device. The processing terminal and the spreading device are communicatively connected to achieve data interaction and control. After receiving historical icing data of the power transmission line, the processing terminal analyzes the historical icing data and the de-icing thickness of the device to determine the device deployment strategy. Based on the device deployment strategy, the spreading device is deployed on the power transmission line, enabling it to de-ic the areas with thicker ice on the power transmission line. After deployment, real-time environmental data is detected, and the spreading device is controlled to spread the ice layer inside the ice layer to peel the ice layer off the power transmission line without considering the problem that external knocking cannot effectively remove the ice layer, thereby improving the de-icing effect of the power transmission line.

[0037] Reference Figure 1 This application discloses a method for de-icing power transmission lines, comprising the following steps: Step S100: Obtain historical icing data of the preset transmission line; the historical icing data is characterized by the number of historical icing events, the corresponding historical icing thickness, and the corresponding historical icing length at different locations of the transmission line.

[0038] Among them, transmission lines refer to power lines that require de-icing. Historical icing data refers to the locations where transmission lines have previously iced, the number of times icing has occurred at those locations, the historical icing thickness at those locations, and the historical icing length at those locations. All of these data are collected by operators and then entered into the processing terminal.

[0039] Step S101: Analyze historical icing data and preset device de-icing thickness to determine the device deployment strategy for the power transmission line.

[0040] The device de-icing thickness refers to the minimum thickness of the ice layer removed by the device. In this embodiment, the device is used to break thick ice layers that cannot be broken by the current knocking de-icing equipment. Therefore, the device de-icing thickness in this embodiment is greater than the de-icing thickness of the knocking de-icing equipment.

[0041] The equipment deployment strategy refers to the location and number of de-icing devices deployed on the transmission line. This is determined by the processing terminal after analyzing historical icing data and the de-icing thickness of the devices. Specific analysis methods are detailed in [reference needed]. Figure 2 The steps.

[0042] Step S102: Deploy the preset spreading device on the power transmission line according to the device deployment strategy.

[0043] After the processing terminal determines the device deployment strategy, it can output the device deployment strategy, so that the operator can deploy the spreading device on the power transmission line where there may be a thick ice layer, according to the deployment location and number of devices corresponding to the device deployment strategy, so that the spreading device can peel off the ice layer that the knocking de-icer cannot remove.

[0044] The ice-removing device is a device used to remove ice. It also includes a traveling component to drive the overall adjustment of the device's position, as well as an upper and lower ice-removing plate. The upper and lower ice-removing plates are driven by a screw structure and can expand outward and retract inward. When the upper and lower ice-removing plates retract inward, they wrap around the power line. When the ice layer reaches a certain thickness, the upper or lower ice-removing plate expands outward, thereby peeling the ice layer off the power line. The thicker ice layer will cause the rest of the ice layer to detach simultaneously, achieving the purpose of de-icing. Heating components are also installed on the upper and lower ice-removing plates to heat the inside of the ice layer to reduce the adhesion between the ice layer and the power line.

[0045] Step S103: Obtain real-time environmental data.

[0046] Real-time environmental data refers to meteorological data and geographic information within the transmission line area, including data such as temperature, humidity, wind speed, and altitude, which are acquired through intelligent micro weather stations and sent to the processing terminal.

[0047] Step S104: Control the opening device to open up inside the ice layer according to real-time environmental data to de-ice the power transmission line.

[0048] In this process, after receiving real-time environmental data, the processing terminal analyzes the data and then adjusts the position of the ice-spreading device to ensure it reaches the actual icing location and spreads within the ice layer to peel it off the power transmission line. The specific method is described in [reference needed]. Figure 5 The steps.

[0049] Reference Figure 2 The steps for analyzing historical icing data and preset de-icing thickness to determine the equipment deployment strategy for power transmission lines include: Step S200: Analyze historical icing data and the thickness of the de-icing device to determine whether the thickness of the transmission line conforms to the icing data.

[0050] Among them, thickness conforming icing data refers to historical icing data with a thickness not less than the device's de-icing thickness. The processing terminal compares the icing thickness in the historical icing data with the device's de-icing thickness, removes historical icing data with an icing thickness less than the device's de-icing thickness, and defines historical icing data with an icing thickness not less than the device's de-icing thickness as thickness conforming icing data.

[0051] Step S201: Analyze the thickness matching icing data and the device de-icing thickness to determine the total number of icing cycles and the thickness matching cycle of the transmission line.

[0052] The total number of ice formations refers to the total number of times ice formation occurs in the thickness-matching ice formation data, which is obtained by the processing terminal by identifying the number of ice formations in the thickness-matching ice formation data.

[0053] Thickness matching count refers to the number of times ice forms with a thickness not less than the de-icing thickness of the device. The processing terminal compares the thickness of each ice formation with the de-icing thickness of the device, and accumulates the number of ice formations with an ice thickness not less than the de-icing thickness of the device to obtain the thickness matching count.

[0054] Step S202: Analyze the sum of ice counts and thickness matching counts to determine the probability of excessively thick icing on the transmission line.

[0055] Among them, the probability of ultra-thick icing refers to the probability that the thickness meets the requirements of the de-icing device in the icing data, and is obtained by the processing terminal by calculating the quotient of the number of times the thickness meets the requirements and the number of times the icing is summarized.

[0056] Step S203: Analyze the thickness conforming to icing data, the corresponding ultra-thick icing probability, and the preset fixed deployment probability to determine the fixed deployment data and the adjustable deployment data.

[0057] Among them, fixed deployment data refers to the data in the thickness conforming to icing data that requires the fixed deployment of the support device, while adjustable deployment data refers to the data in the thickness conforming to icing data where the support device can be deployed in an adjustable manner. These are determined by the processing terminal after analyzing the thickness conforming to icing data, the corresponding ultra-thick icing probability, and the fixed deployment probability. Specific analysis methods are detailed in [reference needed]. Figure 4 The steps.

[0058] The fixed deployment probability refers to the minimum probability of excessive icing when the support device is fixedly deployed on the power transmission line. The specific value is determined by the operator based on the actual situation.

[0059] Step S204: Analyze the fixed deployment data and adjustable deployment data to determine the equipment deployment strategy for the transmission line.

[0060] The device deployment strategy in this step is consistent with that in step S101, and is determined by the processing terminal after analyzing the fixed deployment data and the adjustable deployment data. The specific method is as follows: Figure 3 The steps.

[0061] Reference Figure 3 The steps for analyzing fixed and adjustable deployment data to determine the equipment deployment strategy for power transmission lines include: Step S300: Analyze the fixed deployment data and the adjustable deployment data separately to determine the fixed deployment location, fixed deployment length, adjustable deployment location, and adjustable deployment length.

[0062] Among them, the fixed deployment position refers to the position where the spreading device is fixedly deployed, and the fixed deployment length refers to the length of ice that needs to be broken when the spreading device is fixedly deployed. The processing terminal identifies the ice position and the ice length corresponding to the ice position in the fixed deployment data.

[0063] Adjustable deployment position refers to the position where the expansion device can be deployed in an adjustable manner, and adjustable deployment length refers to the length of ice that needs to be broken when the expansion device is deployed in an adjustable manner. The processing terminal determines the ice position and the ice length corresponding to the ice position by identifying the ice position in the adjustable deployment data.

[0064] Step S301: Analyze the fixed deployment length and the preset baseline fixed length to determine the number of fixed deployments.

[0065] The reference fixed length refers to the interval length of the support device when it is fixedly deployed. The specific value is determined by the operator based on the actual situation.

[0066] The number of fixed deployments refers to the number of fixed deployments of the support device, which is obtained by calculating the fixed deployment length and the baseline fixed length from the processing terminal. Any fraction less than 1 is rounded up.

[0067] Step S3011: Associate the fixed deployment location and the number of fixed deployments to generate a fixed deployment policy.

[0068] The fixed deployment strategy refers to the location and quantity of the expansion device to be fixedly deployed. The processing terminal generates the fixed deployment strategy by storing the fixed deployment location and quantity in the database.

[0069] Step S302: Analyze the adjustable deployment length and the preset baseline adjustable length to determine the number of adjustable deployments.

[0070] The adjustable reference length refers to the interval length of the expansion device that can be adjusted during deployment. The adjustable reference length is greater than the fixed reference length, thereby ensuring that the number of adjustable deployment devices is less than the number of fixed deployment devices. The specific value is determined by the operator based on the actual situation.

[0071] The adjustable deployment quantity refers to the number of deployments that can be adjusted by the expansion device. It is obtained by the processing terminal calculating the quotient of the adjustable deployment length and the baseline adjustable length, and any fraction less than 1 is rounded up.

[0072] Step S3021: Associate the adjustable deployment location and the adjustable deployment quantity to generate an adjustable deployment policy.

[0073] The adjustable deployment strategy refers to the adjustable deployment location and quantity of the expansion device, which is generated by the processing terminal storing the adjustable deployment location and quantity in the database.

[0074] Step S303: Associate the fixed deployment strategy and the adjustable deployment strategy to generate the device deployment strategy.

[0075] In this step, the device deployment strategy is consistent with the device deployment strategy in step S204. The fixed deployment strategy and the adjustable deployment strategy are generated by the processing terminal by storing them in the same database.

[0076] Reference Figure 4 The steps for analyzing the thickness conforming to icing data, the corresponding ultra-thick icing probability, and the preset fixed deployment probability to determine the fixed deployment data and adjustable deployment data include: Step S400: Determine whether the probability of ultra-thick icing meets the requirements of the fixed deployment probability.

[0077] The requirement for a fixed deployment probability means that it is not less than the fixed deployment probability. By processing the terminal to determine whether the probability of excessive icing is not less than the fixed deployment probability, it is possible to determine whether the probability of thick icing at that location is relatively high.

[0078] Step S401: If it does not meet the requirements, the corresponding thickness that meets the icing data is defined as adjustable deployment data.

[0079] If the processing terminal determines that the probability of excessive icing is less than the probability of fixed deployment, it indicates that the probability of thick ice forming at the location corresponding to the thickness icing data is low. Therefore, there is no need to use a fixed deployment support device, and the thickness icing data is defined as adjustable deployment data.

[0080] Step S402: If the conditions are met, the corresponding thickness that meets the icing data is defined as fixed deployment data.

[0081] If the processing terminal determines that the probability of excessively thick ice formation is not less than the probability of fixed deployment, it indicates that the probability of thick ice formation at the location corresponding to the thickness data is high, and a fixed deployment of the ice-breaking device is required to reduce the workload of the mobile ice-breaking device. Therefore, the thickness data corresponding to the ice formation is defined as fixed deployment data.

[0082] Reference Figure 5 The steps for de-icing power transmission lines by controlling the expansion device to expand inside the ice layer based on real-time environmental data include: Step S500: Analyze real-time environmental data to determine the predicted icing location.

[0083] The predicted icing location refers to the location on the power transmission line where a thicker ice layer will form. This prediction is made by the processing terminal by inputting real-time environmental data into a pre-set icing prediction model. The icing prediction model adopts a multi-source data fusion and deep learning network architecture, mainly divided into a data input layer, a feature extraction and fusion layer, and an output layer. The data input layer cleans the meteorological data, extracts icing-related features from the geographic information, such as altitude, and divides the terrain into grids. Finally, historical icing thickness is used as a label for supervised learning. The feature extraction and fusion layer uses a convolutional neural network to process spatially distributed data, such as geographic information and meteorological fields, and uses a long short-term memory network to capture time-series features, such as meteorological change trends and historical icing data. Multi-source data is dynamically weighted and fused through an attention mechanism to enhance the influence of key features. The output layer outputs the predicted icing thickness as a gridded result, thereby identifying the grid where the predicted value exceeds the de-icing thickness and mapping the grid to the actual location to determine the predicted icing location.

[0084] Step S501: Determine whether the predicted icing location meets the requirements of the device deployment strategy.

[0085] The requirement of the device deployment strategy is that the icing location exists within the location corresponding to the deployment strategy. The processing terminal determines whether the predicted icing location exists within the location corresponding to the deployment strategy, thereby determining whether to deploy the opening device at the actual icing location.

[0086] Step S5011: If the condition is met, control the spreading device to de-ice the power transmission line.

[0087] If the processing terminal determines that the predicted icing location exists in the location corresponding to the device deployment strategy, it indicates that the de-icing device has already been deployed at the actual icing location. Therefore, controlling the de-icing device to remove ice from the transmission line is sufficient. For specific methods, refer to [link to relevant documentation]. Figure 6 The steps.

[0088] Step S5012: If the conditions are not met, analyze the predicted icing location and device deployment strategy to determine the need to adjust the deployment strategy.

[0089] If the processing terminal determines that the predicted icing location does not exist in the location corresponding to the device deployment strategy, it indicates that the actual icing location has not been deployed with a support device. Therefore, after analyzing the predicted icing location and the device deployment strategy, the deployment strategy is adjusted to provide data support for subsequent adjustments to the support device.

[0090] Adjusting the deployment strategy refers to the number of times the device is moved from the adjustable deployment position in the device deployment strategy to the predicted icing position. The processing terminal finds the adjustable deployment position closest to the predicted icing position in the device deployment strategy, and then calculates the adjustment number based on the length of the predicted icing position and the de-icing length. Thus, the movement path from the adjustable deployment position to the predicted icing position and the adjustment number are stored in the same database to form the adjustment deployment strategy.

[0091] Step S502: Adjust the position of the spreading device according to the deployment strategy. After the position is adjusted, control the spreading device to de-ice the power transmission line.

[0092] After determining the adjustment deployment strategy, the processing terminal, based on the adjustable deployment positions in the strategy, controls the corresponding expansion devices to move to the predicted icing location. After adjustment, the expansion devices are controlled to de-ice the transmission lines. The specific method is described in [reference needed]. Figure 6 The steps.

[0093] Reference Figure 6 The steps for controlling the expansion device to de-ice the power transmission line include: Step S600: Obtain the real-time icing thickness of the transmission line.

[0094] Among them, the real-time icing thickness refers to the icing thickness on the transmission line, which is obtained by detecting the distance difference between the laser rangefinder installed on the spreading device and the transmission line.

[0095] Step S601: Determine whether the real-time icing thickness meets the preset de-icing thickness requirements.

[0096] Among them, the de-icing thickness refers to the minimum thickness required for the de-icing device to be opened, and the requirement for the de-icing thickness is that it should not be less than the de-icing thickness.

[0097] The processing terminal determines whether the real-time ice thickness is not less than the de-icing thickness, thereby determining whether the expansion device can perform de-icing.

[0098] Step S6011: If it does not meet the requirements, continue to obtain the real-time ice thickness for iterative judgment.

[0099] If the processing terminal determines that the real-time ice thickness is less than the de-icing thickness, it indicates that the ice layer on the transmission line is thin. In this case, the spreading device can only peel off a portion of the ice layer by spreading it open inside the ice layer. Therefore, the real-time ice thickness is continuously monitored to keep track of the icing situation of the transmission line.

[0100] Step S6012: If the condition is met, control the spreading device to spread open to peel the ice layer off the power line.

[0101] If the processing terminal determines that the real-time ice thickness is not less than the de-icing thickness, it indicates that the ice layer on the transmission line is relatively thick. In this case, the spreading device can spread the ice layer inside the transmission line, allowing a larger area of ​​ice to detach from the transmission line. Therefore, the spreading device is controlled to spread the ice layer to peel it off the transmission line. Specific methods are described in [reference needed]. Figure 7 The steps.

[0102] Reference Figure 7 The steps of controlling the spreading device to spread and peel the ice off the power line include: Step S700: Obtain the ice thickness of the preset ice-breaking zone on the transmission line.

[0103] The ice-breaking zones refer to the zones on the transmission line where ice breaking takes place, including the upper zone and the lower zone. The icing thickness of each zone refers to the icing thickness on the upper and lower sides of the transmission line, which is measured by laser rangefinders on the upper and lower sides of the ice-breaking device.

[0104] Step S701: Analyze the ice-breaking zones and the corresponding ice thickness of the zones to determine the thickest ice-breaking zone.

[0105] Among them, the thickest ice-breaking zone refers to the zone with thicker ice layers on both the top and bottom sides. The processing terminal compares the ice thickness of the zones to determine the ice-breaking zone with the larger ice thickness as the thickest ice-breaking zone.

[0106] Step S702: Determine whether the thickest ice-breaking zone is the preset upper ice-breaking zone or the preset lower ice-breaking zone.

[0107] The upper ice-breaking zone refers to the upper side of the transmission line as the actual ice-breaking zone, while the lower ice-breaking zone refers to the lower side of the transmission line as the actual ice-breaking zone.

[0108] The processing terminal determines whether the thickest ice-breaking zone is the upper or lower ice-breaking zone, providing data support for subsequent control of the expansion device.

[0109] Step S7021: If it is the upper ice-breaking zone, control the preset upper opening plate in the opening device to open it to separate the ice layer from the power transmission line.

[0110] If the processing terminal determines that the thickest ice-breaking zone is the upper ice-breaking zone, it indicates that the ice on the upper side of the transmission line is thicker. Therefore, the upper spreading plate in the control spreading device spreads the ice layer inside the upper ice layer, thereby separating the ice layer from the transmission line. The separated thicker ice layer will then drive the ice layer in the remaining range to detach from the transmission line.

[0111] Step S7022: If it is the lower ice-breaking zone, control the preset lower opening plate in the opening device to open it to separate the ice layer from the power transmission line.

[0112] If the processing terminal determines that the thickest ice-breaking zone is the lower ice-breaking zone, it indicates that the ice on the lower side of the transmission line is thicker. Therefore, the lower supporting plate in the control supporting device is opened up inside the lower ice layer, thereby separating the ice layer from the transmission line. The separated thicker ice layer will then drive the ice layer in the remaining range to detach from the transmission line.

[0113] Reference Figure 8 The process of controlling the spreading device to peel the ice layer off the power transmission line also includes an auxiliary peeling step, which specifically includes: Step S800: Obtain the actual spreading piece of the spreading device.

[0114] Among them, the actual ice-breaking segment refers to the ice-breaking segment actually broken in the ice-breaking device, which is recorded by the processing terminal when the ice-breaking device is controlled to break ice.

[0115] Step S801: Analyze the actual spreading piece to determine the auxiliary spreading piece.

[0116] Among them, the auxiliary expansion piece refers to the device in the expansion device that assists in the detachment of the ice layer. The processing terminal defines the other expansion piece in the expansion piece besides the actual expansion piece as the auxiliary expansion piece.

[0117] Step S802: Control the auxiliary expansion plate to heat the ice layer according to the preset auxiliary heating parameters, so as to drive the unexpanded ice layer to peel off from the power transmission line.

[0118] Among them, the auxiliary heating parameters refer to the temperature and time of the auxiliary expansion plate heating inside the ice layer. The specific values ​​are determined by the operator based on the actual situation.

[0119] After the auxiliary spreading plate is determined, the processing terminal controls the auxiliary spreading plate to heat the inside of the ice layer at the temperature and time corresponding to the auxiliary heating parameters, thereby driving the ice layer to be spread to peel off from the power transmission line.

[0120] Based on the same inventive concept, embodiments of this application provide a power transmission line de-icing system, comprising: The acquisition module is used to acquire historical icing data, real-time environmental data, real-time icing thickness, zoned icing thickness, and actual expanded slabs. A memory used to store a program for a method of de-icing power transmission lines; The processor can load and execute programs in memory to implement a method for de-icing power transmission lines.

[0121] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the above-described division of functional modules is used as an example. In practical applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above. The specific working process of the system, device, and unit described above can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0122] This application provides a computer-readable storage medium storing a computer program that can be loaded by a processor and executed as a method for de-icing power transmission lines.

[0123] Computer storage media include, for example, USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, optical disks, and other media that can store program code.

[0124] Based on the same inventive concept, embodiments of this application provide a smart terminal, including a memory and a processor, wherein the memory stores a computer program that can be loaded by the processor and executed as a method for de-icing power transmission lines.

[0125] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the above-described division of functional modules is used as an example. In practical applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above. The specific working process of the system, device, and unit described above can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0126] The above are all preferred embodiments of this application and are not intended to limit the scope of protection of this application. Any feature disclosed in this specification (including the abstract and drawings) may be replaced by other equivalent or similar features unless specifically stated otherwise. That is, unless specifically stated otherwise, each feature is only one example of a series of equivalent or similar features.

Claims

1. A method for de-icing power transmission lines, characterized in that, include: Acquire historical icing data of a preset power transmission line; the historical icing data is characterized by the number of historical icing events, the corresponding historical icing thickness, and the corresponding historical icing length at different locations of the power transmission line. Historical icing data and preset de-icing thickness are analyzed to determine the equipment deployment strategy for power transmission lines. According to the device deployment strategy, the pre-set expansion device is deployed on the power transmission line; Obtain real-time environmental data; The device is controlled to open up inside the ice layer based on real-time environmental data in order to de-ice the power transmission line; The steps for analyzing historical icing data and preset de-icing thickness to determine the equipment deployment strategy for power transmission lines include: Historical icing data and the thickness of the de-icing device were analyzed to determine whether the thickness of the transmission line matched the icing data. The thickness of the ice-forming data and the thickness of the de-icing device are analyzed to determine the total number of ice formations and the thickness of the transmission line. The number of ice formations and the number of thickness coincidences were analyzed to determine the probability of excessively thick icing on transmission lines. The thickness conforms to the icing data, the corresponding ultra-thick icing probability, and the preset fixed deployment probability are analyzed to determine the fixed deployment data and the adjustable deployment data; Analyze fixed and adjustable deployment data to determine the equipment deployment strategy for power transmission lines; The steps for analyzing fixed and adjustable deployment data to determine the installation deployment strategy for power transmission lines include: The fixed deployment data and the adjustable deployment data are analyzed separately to determine the fixed deployment location, fixed deployment length, adjustable deployment location, and adjustable deployment length; The fixed deployment length and the preset baseline fixed length are analyzed to determine the number of fixed deployments; Associate fixed deployment locations and fixed deployment quantities to generate fixed deployment policies; The adjustable deployment length and the preset baseline adjustable length are analyzed to determine the number of adjustable deployments; Associate adjustable deployment locations and adjustable deployment quantities to generate adjustable deployment strategies; Associate fixed deployment strategies and adjustable deployment strategies to generate device deployment strategies.

2. The method for de-icing power transmission lines according to claim 1, characterized in that, The steps for analyzing the thickness conforming to icing data, the corresponding ultra-thick icing probability, and the preset fixed deployment probability to determine the fixed deployment data and adjustable deployment data include: Determine whether the probability of ultra-thick icing meets the requirements of the fixed deployment probability; If it does not meet the requirements, the corresponding thickness that meets the icing data will be defined as adjustable deployment data; If the conditions are met, the corresponding thickness that matches the icing data will be defined as fixed deployment data.

3. The method for de-icing power transmission lines according to claim 1, characterized in that, The steps for de-icing power transmission lines by controlling the expansion device to expand inside the ice layer based on real-time environmental data include: Analyze real-time environmental data to determine the predicted icing location; Determine whether the predicted icing location meets the requirements of the equipment deployment strategy; If the conditions are met, the control device will be used to de-ice the power transmission line; If the conditions are not met, the predicted icing location and device deployment strategy will be analyzed to determine the need to adjust the deployment strategy. The position of the expansion device is adjusted according to the deployment strategy. After the position is adjusted, the expansion device is controlled to de-ice the power transmission line.

4. The method for de-icing power transmission lines according to claim 3, characterized in that, The steps for using the control and expansion device to de-ice the power transmission line include: Obtain the real-time icing thickness of the power transmission line; Determine whether the real-time icing thickness meets the preset de-icing thickness requirements; If it does not meet the requirements, continue to obtain the real-time ice thickness and perform loop judgment; If the conditions are met, the control device will open to peel the ice off the power line.

5. A method for de-icing power transmission lines according to claim 4, characterized in that, The steps of controlling the spreading device to spread and peel the ice off the power line include: Obtain the ice thickness of the preset ice-breaking zones on the transmission line; The ice-breaking zones and their corresponding ice thicknesses were analyzed to determine the thickest ice-breaking zone. Determine whether the thickest ice-breaking zone is the preset upper ice-breaking zone or the preset lower ice-breaking zone; If it is an upper ice-breaking zone, the upper opening plate in the control opening device is preset to open and separate the ice layer from the power transmission line; If it is the lower ice-breaking zone, the preset lower expansion plate in the control expansion device will expand to separate the ice layer from the power transmission line.

6. The method for de-icing power transmission lines according to claim 5, characterized in that, The process of controlling the spreading device to peel the ice layer off the power transmission line also includes an auxiliary peeling step, which specifically includes: Obtain the actual spreading piece of the spreading device; Analyze the actual spreading plates to determine the auxiliary spreading plates; The auxiliary heating plate is controlled to heat the ice layer according to the preset auxiliary heating parameters, so as to drive the unexpanded ice layer to peel off from the power transmission line.

7. A power transmission line de-icing system, characterized in that, include: The acquisition module is used to acquire historical icing data and real-time environmental data; A memory for storing a program for a method of de-icing a power transmission line as described in any one of claims 1 to 6; The processor and the program in the memory can be loaded and executed by the processor to implement the power transmission line de-icing method as described in any one of claims 1 to 6.

8. A smart terminal, characterized in that, It includes a memory and a processor, wherein the memory stores a computer program that can be loaded by the processor and executed as described in any one of claims 1 to 6 for de-icing a power transmission line.

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