CN116777419A - Line icing monitoring method, system, terminal and storage medium - Google Patents

Abstract

The invention belongs to the technical field of power maintenance, and particularly provides a line icing monitoring method, a system, a terminal and a storage medium, wherein the method comprises the following steps: acquiring weight change data from a sampling device provided to a target line; acquiring environment data of a target line, comparing the environment data with a threshold value, and judging the effectiveness of the weight change data based on the threshold value comparison result; if the weight change data are valid, calculating the ice coating thickness based on the weight change data, the ice density and the sampling area of the sampling device; confirming that the ice coating thickness reaches a set alarm threshold value, and collecting weather forecast data of an area where a target line is located; and estimating the ice coating thickness based on the weather forecast data and a corresponding function of the pre-stored weather data and the ice coating thickness, and outputting the estimated ice coating thickness as an early warning value. According to the method, the monitoring precision of the icing thickness is greatly improved, meanwhile, a neural network model is not required to be operated, the calculated amount is reduced, and the data processing speed is improved.

Description

Line icing monitoring method, system, terminal and storage medium

Technical field

The invention belongs to the technical field of electric power maintenance, and specifically relates to a line icing monitoring method, system, terminal and storage medium.

Background technique

Ice coating of transmission lines refers to the formation of a strong and dense layer of transparent or translucent ice due to the condensation of water droplets on the conductors, lightning protection wires, insulator strings, etc. layer phenomenon. When the weight of the ice layer exceeds the design load of the transmission line, it may cause wires or lightning protection wires to break, damage hardware and insulators, and even cause pole-falling accidents in serious cases. With the rapid development of the power system, transmission lines are more and more densely covered in various regions, and the harm and losses caused by ice coating on transmission lines to the power grid are becoming more and more serious. Therefore, ice coating monitoring of transmission lines can be effectively carried out, and then It is particularly important to prevent or provide reliable de-icing solutions.

Most of the existing line icing monitoring methods use neural network models to estimate ice thickness based on meteorological data. The input factors of this method are relatively single, and because the meteorological data are prediction data and are regional average data, there are differences between the meteorological data and the environmental data of the line. The ice thickness obtained by this method is very different from the actual ice thickness.

Therefore, how to improve the accuracy of monitoring the ice thickness of transmission lines and the real-time nature of generating early warnings are technical issues that need to be solved.

Contents of the invention

In view of the above-mentioned deficiencies of the prior art, the present invention provides a line icing monitoring method, system, terminal and storage medium to solve the technical problems in the prior art of poor ice thickness monitoring accuracy and inability to provide early warning.

In a first aspect, the present invention provides a line icing monitoring method, including:

Obtain weight change data from the sampling device installed on the target line;

Obtain the environmental data of the target line and perform a threshold comparison on the environmental data, and judge the validity of the weight change data based on the threshold comparison results;

If the weight change data is valid, the ice coating thickness is calculated based on the weight change data, ice density and sampling area of the sampling device;

Confirm that the ice thickness reaches the set alarm threshold, and collect meteorological prediction data for the area where the target line is located;

The ice coating thickness is estimated based on the corresponding function between the meteorological prediction data and the pre-stored meteorological data and the ice coating thickness, and the estimated ice coating thickness is output as an early warning value.

Further, weight change data is obtained from the sampling device installed on the target line, including:

Obtain and save the initial weight value from the sampling device. The sampling device includes a fixed frame, a weight sensor, a controller, a communication module and a sampling piece. The sampling piece is movablely linked to the fixed frame and the surface of the sampling piece is connected to the line surface. The material is consistent, the weight sensor detects the weight of the sampling piece, the weight sensor, controller and communication module are all fixed on the fixed frame, and the weight sensor and communication module are both electrically connected to the controller, and the controller is electrically connected to the power supply;

The actual weight value is obtained from the sampling device periodically, and the difference between the actual weight value and the initial weight value is saved as weight change data.

Further, after obtaining the weight change data from the sampling device arranged on the target line, the method also includes:

Determine whether the weight change data reaches the preset weight threshold:

If so, it is determined that the target line is suspected to be covered with ice;

If not, it is determined that there is no ice covering on the target line.

Further, obtain the environmental data of the target line and perform a threshold comparison on the environmental data, and judge the validity of the weight change data based on the threshold comparison results, including:

Obtain environmental data from an environment detection sensor installed on the target line, where the environmental data includes temperature, humidity, wind speed, wind direction and air pressure;

Determine whether the environmental data reaches the preset environmental thresholds:

If so, it is determined that icing conditions exist and the weight change data is valid;

If not, it is determined that there is no icing condition and the weight change data is invalid.

Further, if the weight change data is valid, the ice coating thickness is calculated based on the weight change data, ice density and sampling area of the sampling device, including:

Calculate the quotient of weight change data and ice density to obtain ice volume;

Calculate the quotient of the ice volume and the sampling area to obtain the theoretical ice thickness;

The theoretical ice thickness is converted into ice coating thickness using a conversion function based on historical data fitting.

Further, the ice coating thickness is estimated based on the corresponding function between the meteorological prediction data and the pre-stored meteorological data and the ice coating thickness, and the estimated ice coating thickness is output as an early warning value, including:

Obtain the historical meteorological data and the corresponding ice coating thickness, classify the historical meteorological data into grades, match the maximum ice coating thickness for each grade, and generate a piecewise function based on the corresponding relationship between the meteorological data grade and the maximum ice coating thickness;

The meteorological prediction data is input into the piecewise function to obtain an ice coating thickness prediction value, and the ice coating thickness prediction value is displayed and output as an early warning value.

Further, after estimating the ice coating thickness based on the corresponding function between the meteorological prediction data and the pre-stored meteorological data and the ice coating thickness, and outputting the estimated ice coating thickness as an early warning value, the method also includes:

If the early warning value reaches the preset early warning threshold, an emergency maintenance task is generated, and the emergency maintenance task is sent to the maintenance management terminal with priority;

Receive the actual ice coating thickness uploaded by the maintenance management terminal, and correct the conversion function based on the actual ice coating thickness.

In a second aspect, the present invention provides a line icing monitoring system, including:

The first acquisition module is used to acquire weight change data from the sampling device provided on the target line;

The second acquisition module is used to acquire the environmental data of the target line and perform a threshold comparison on the environmental data, and judge the validity of the weight change data based on the threshold comparison results;

A data processing module used to calculate the ice coating thickness based on the weight change data, ice density and the sampling area of the sampling device if the weight change data is valid;

The third acquisition module is used to confirm that the ice thickness reaches the set alarm threshold and collect meteorological prediction data in the area where the target line is located;

The ice coating prediction module is used to estimate the ice coating thickness based on the corresponding function of the meteorological prediction data and the pre-stored meteorological data and the ice coating thickness, and output the estimated ice coating thickness as an early warning value.

In the third aspect, a terminal is provided, including:

processor, memory, where,

This memory is used to store computer programs,

The processor is used to call and run the computer program from the memory, so that the terminal executes the above terminal method.

In a fourth aspect, a computer storage medium is provided. The computer-readable storage medium stores instructions, which when run on a computer, cause the computer to perform the methods described in the above aspects.

The beneficial effects of the present invention are:

The method, system, terminal and storage medium for line icing monitoring provided by the present invention introduce weight sampling and perform icing monitoring based on sampling data and actual collected environmental data, which greatly improves the monitoring accuracy of icing thickness and eliminates the need to run a neural network. The network model reduces the amount of calculation and improves the data processing speed.

In addition, the design principle of the invention is reliable, the structure is simple, and it has very broad application prospects.

Description of drawings

In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, for those of ordinary skill in the art, It is said that other drawings can also be obtained based on these drawings without exerting creative work.

Figure 1 is a schematic flow chart of a method according to an embodiment of the present invention.

Figure 2 is a schematic block diagram of a system according to an embodiment of the present invention.

Figure 3 is a schematic structural diagram of a terminal provided by an embodiment of the present invention.

Detailed ways

In order to enable those skilled in the art to better understand the technical solutions in the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described The embodiments are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts should fall within the scope of protection of the present invention.

Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the technical field to which the invention belongs. The terminology used herein in the description of the invention is for the purpose of describing specific embodiments only and is not intended to limit the invention.

The line icing monitoring method provided by the embodiment of the present invention is executed by computer equipment. Correspondingly, the line icing monitoring system runs in the computer equipment.

Figure 1 is a schematic flow chart of a method according to an embodiment of the present invention. Among them, the execution subject in Figure 1 may be a line icing monitoring system.

As shown in Figure 1, the method includes:

Step 110: Obtain weight change data from the sampling device installed on the target line;

Step 120: Obtain the environmental data of the target line and perform a threshold comparison on the environmental data, and judge the validity of the weight change data based on the threshold comparison results;

Step 130, if the weight change data is valid, calculate the ice coating thickness based on the weight change data, ice density and sampling area of the sampling device;

Step 140, confirm that the ice thickness reaches the set alarm threshold, and collect meteorological prediction data for the area where the target line is located;

Step 150: Estimate the ice coating thickness based on the corresponding function between the meteorological prediction data and the pre-stored meteorological data and the ice coating thickness, and output the estimated ice coating thickness as an early warning value.

This method relies on a database system and based on the actual meteorological environment of the application site. Before it is officially put into production and application, the icing sampling module and the icing condition of the target transmission line are tested under different meteorological conditions in advance, and the original experimental data is accumulated and introduced into the control The central module database ensures the accuracy of the transmission line icing status monitoring method.

In order to facilitate understanding of the present invention, the line icing monitoring method provided by the present invention will be further described below based on the principle of the line icing monitoring method of the present invention and the process of monitoring line icing in the embodiment.

Specifically, the line icing monitoring method includes:

S 1. Obtain weight change data from the sampling device installed on the target line.

Obtain and save the initial weight value from the sampling device. The sampling device includes a fixed frame, a weight sensor, a controller, a communication module and a sampling piece. The sampling piece is movablely linked to the fixed frame and the surface of the sampling piece is connected to the line surface. The material is consistent, the weight sensor detects the weight of the sampling piece, the weight sensor, controller and communication module are all fixed on the fixed frame, and the weight sensor and communication module are both electrically connected to the controller, and the controller is electrically connected to the power supply; The actual weight value is obtained from the sampling device periodically, and the difference between the actual weight value and the initial weight value is saved as weight change data.

Specifically, the sampling device is a reduced equivalent replacement model of the transmission line, which serves as the data collection object of the weight sensing module and effectively records the ice coating status of the transmission line. The weight sensing module continuously collects the weight change data of the ice sampling module and sends it to the control center module through the data transmission module.

The icing device is installed on the target transmission line at appropriate intervals. Its surface is made of aluminum casing, which is the same material as the surface of the overhead transmission line, so as to achieve the same icing occurrence rate and effectively improve the accuracy of icing status monitoring.

In one implementation, in order to avoid misjudgment, it is determined whether the weight change data reaches a preset weight threshold: if so, it is determined that the target line is suspected of having ice coating; if not, it is determined that there is no ice coating on the target line.

Set a lower threshold for weight change data to prevent misjudgment of icing conditions caused by error factors such as rainfall, frost, and wind deflection. When the weight change data does not exceed the lower threshold, the system determines that it is affected by error factors, and the control center module does not process it; when the weight change data exceeds the lower threshold, the control center module immediately starts data processing, and calculates and judges icing based on meteorological conditions. thickness.

S 2. Obtain the environmental data of the target line and perform a threshold comparison on the environmental data, and judge the validity of the weight change data based on the threshold comparison results.

Obtain environmental data from the environment detection sensor installed on the target line. The environmental data includes temperature, humidity, wind speed, wind direction and air pressure; determine whether the environmental data reaches the preset environmental thresholds: if so, it is determined that icing conditions exist, The weight change data is valid; if not, it is determined that there is no icing condition and the weight change data is invalid.

Specifically, temperature sensors, humidity sensors, wind speed sensors, wind direction sensors, and air pressure sensors are used to continuously collect meteorological data such as temperature, humidity, wind speed, wind direction, and air pressure in the operating environment of the target transmission line, and send them to the control center through the data transmission module. module. The data transmission module uses 5G network signals for data interaction. 5G network is called the fifth generation mobile communication network. Its peak theoretical transmission speed can reach 20Gbps, which is 2.5GB per second. The data transmission speed is fast, the signal anti-interference ability is strong, and it is not susceptible to The influence of severe weather conditions such as rain and snow is suitable for various extreme operating environments, ensuring the universality and accuracy of the icing status monitoring method of transmission lines.

Comprehensive analysis of various meteorological data to determine whether there are icing conditions in the line operating environment. When the judgment result is no, it is determined that the target transmission line currently has no icing conditions, and the received weight change data is classified as useless data and is not processed. When the judgment result is yes, the weight change data of the ice-covered sampling module is analyzed. If the weight change data does not exceed the preset threshold, it is determined that although ice coating conditions exist on the target transmission line, ice coating has not yet occurred. If the weight change data exceeds the preset threshold, it is determined that the target transmission line has icing conditions and icing has occurred.

S 3. If the weight change data is valid, calculate the ice thickness based on the weight change data, ice density and sampling area of the sampling device.

Calculate the quotient of weight change data and ice density to obtain ice volume; calculate the quotient of ice volume and the sampling area to obtain theoretical ice thickness; use a conversion function based on historical data fitting to convert theoretical ice thickness to ice coating thickness .

Specifically, when it is determined that the target transmission line has ice coating conditions and ice coating has occurred, the ice coating volume is calculated through the weight change data of the ice coating sampling module and the density of the ice, and then the ice coating volume and the surface area of the sampling piece are calculated. The theoretical ice thickness of the current ice covering sampling module is obtained, and finally the theoretical ice thickness is converted into the ice covering thickness of the target transmission line through the conversion function.

The weight change data and actual ice coating thickness of the same period are stored in the historical database. The theoretical ice thickness calculated based on the weight change data is used as the independent variable, and the actual ice coating thickness is used as the dependent variable for data fitting to obtain the conversion function.

S4. Confirm that the ice thickness reaches the set alarm threshold, and collect meteorological prediction data for the area where the target line is located.

Set the thickness threshold for the alarm in advance to determine whether the ice thickness reaches the thickness threshold. If it reaches the thickness threshold, an icing alarm for the target line will be generated, and meteorological prediction data for the area where the target line is located will be collected. The meteorological prediction data includes temperature, humidity, and wind speed. wait.

S 5. Estimate the ice coating thickness based on the corresponding function between the meteorological prediction data and the pre-stored meteorological data and the ice coating thickness, and output the estimated ice coating thickness as an early warning value.

Obtain the historical meteorological data and the corresponding ice coating thickness, classify the historical meteorological data into grades, match the maximum ice coating thickness for each grade, and generate a piecewise function based on the corresponding relationship between the meteorological data grade and the maximum ice coating thickness; The prediction data is input into the segmented function to obtain a prediction value of the ice coating thickness, and the prediction value of the ice coating thickness is displayed and output as an early warning value.

For example, there are five levels for temperature from low to high, five levels for humidity from low to high, and five levels for wind speed. Summarize the historical data and generate a matching maximum ice coating thickness for each matching scheme, for example, find the maximum ice coating thickness for temperature level one, humidity level 2, and wind speed level 4. The piecewise function is generated as follows:

Among them, x represents the temperature, y is the humidity, z is the wind speed, h1 represents the maximum ice thickness when the temperature is at level one, the humidity is at level one, and the wind speed is at level one. The other parameters are the same.

Match the level for the weather forecast data, then generate the matching maximum ice thickness, and output the maximum ice thickness as an early warning value.

If the early warning value reaches the preset early warning threshold, an emergency maintenance task is generated and the emergency maintenance task is sent to the maintenance management terminal with priority; if the early warning value does not reach the set early warning threshold, the urgency of the corresponding alarm is determined to be low. , just process it after processing high-priority alarms.

Receive the actual ice coating thickness uploaded by the maintenance management terminal, and correct the conversion function based on the actual ice coating thickness. For example, maintenance personnel at the maintenance management terminal conduct on-site ice detection and processing based on maintenance tasks, obtain the actual ice thickness of the target line, and save the actual ice thickness and corresponding weight change data to the historical database.

As shown in Figure 2, the system 200 includes:

The first acquisition module 210 is used to acquire weight change data from the sampling device provided on the target line;

The second acquisition module 220 is used to acquire the environmental data of the target line and perform a threshold comparison on the environmental data, and judge the validity of the weight change data based on the threshold comparison results;

The data processing module 230 is used to calculate the ice coating thickness based on the weight change data, ice density and the sampling area of the sampling device if the weight change data is valid;

The third acquisition module 240 is used to confirm that the ice coating thickness reaches the set alarm threshold and collect meteorological prediction data in the area where the target line is located;

The ice coating prediction module 250 is configured to estimate the ice coating thickness based on the corresponding function of the weather prediction data and pre-stored meteorological data and ice coating thickness, and output the estimated ice coating thickness as an early warning value.

Optionally, as an embodiment of the present invention, obtaining weight change data from a sampling device provided on the target line includes:

Obtain and save the initial weight value from the sampling device. The sampling device includes a fixed frame, a weight sensor, a controller, a communication module and a sampling piece. The sampling piece is movablely linked to the fixed frame and the surface of the sampling piece is connected to the line surface. The material is consistent, the weight sensor detects the weight of the sampling piece, the weight sensor, controller and communication module are all fixed on the fixed frame, and the weight sensor and communication module are both electrically connected to the controller, and the controller is electrically connected to the power supply;

The actual weight value is obtained from the sampling device periodically, and the difference between the actual weight value and the initial weight value is saved as weight change data.

Optionally, as an embodiment of the present invention, after obtaining the weight change data from the sampling device provided on the target line, the system also performs:

Determine whether the weight change data reaches the preset weight threshold:

If so, it is determined that the target line is suspected to be covered with ice;

If not, it is determined that there is no ice covering on the target line.

Optionally, as an embodiment of the present invention, obtain the environmental data of the target line and perform a threshold comparison on the environmental data, and judge the validity of the weight change data based on the threshold comparison results, including:

Obtain environmental data from an environment detection sensor installed on the target line, where the environmental data includes temperature, humidity, wind speed, wind direction and air pressure;

Determine whether the environmental data reaches the preset environmental thresholds:

If so, it is determined that icing conditions exist and the weight change data is valid;

If not, it is determined that there is no icing condition and the weight change data is invalid.

Optionally, as an embodiment of the present invention, if the weight change data is valid, calculate the ice coating thickness based on the weight change data, ice density and sampling area of the sampling device, including:

Calculate the quotient of weight change data and ice density to obtain ice volume;

Calculate the quotient of the ice volume and the sampling area to obtain the theoretical ice thickness;

The theoretical ice thickness is converted into ice coating thickness using a conversion function based on historical data fitting.

Optionally, as an embodiment of the present invention, the ice coating thickness is estimated based on the corresponding function of the meteorological prediction data and pre-stored meteorological data and the ice coating thickness, and the estimated ice coating thickness is output as an early warning value, including:

Obtain the historical meteorological data and the corresponding ice coating thickness, classify the historical meteorological data into grades, match the maximum ice coating thickness for each grade, and generate a piecewise function based on the corresponding relationship between the meteorological data grade and the maximum ice coating thickness;

The meteorological prediction data is input into the piecewise function to obtain an ice coating thickness prediction value, and the ice coating thickness prediction value is displayed and output as an early warning value.

Optionally, as an embodiment of the present invention, after estimating the ice coating thickness based on the corresponding function of the meteorological prediction data and pre-stored meteorological data and the ice coating thickness, and outputting the estimated ice coating thickness as an early warning value, the The system also performs:

If the early warning value reaches the preset early warning threshold, an emergency maintenance task is generated, and the emergency maintenance task is sent to the maintenance management terminal with priority;

Receive the actual ice coating thickness uploaded by the maintenance management terminal, and correct the conversion function based on the actual ice coating thickness.

FIG. 3 is a schematic structural diagram of a terminal 300 provided by an embodiment of the present invention. The terminal 300 can be used to perform the line icing monitoring method provided by an embodiment of the present invention.

The terminal 300 may include: a processor 310, a memory 320, and a communication unit 330. These components communicate through one or more buses. Those skilled in the art can understand that the structure of the server shown in the figure does not limit the invention. It can be a bus structure, a star structure, or More or fewer components may be included than shown, or certain components may be combined, or may be arranged differently.

Among them, the memory 320 can be used to store execution instructions of the processor 310. The memory 320 can be implemented by any type of volatile or non-volatile storage terminals or their combination, such as static random access memory (SRAM), electronic Erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disk . When the execution instructions in the memory 320 are executed by the processor 310, the terminal 300 is enabled to perform some or all of the steps in the following method embodiments.

The processor 310 is the control center of the storage terminal, using various interfaces and lines to connect various parts of the entire electronic terminal, by running or executing software programs and/or modules stored in the memory 320, and calling data stored in the memory, To perform various functions of the electronic terminal and/or process data. The processor may be composed of an integrated circuit (IC for short), for example, it may be composed of a single packaged IC, or it may be composed of multiple packaged ICs connected with the same function or different functions. For example, the processor 310 may only include a central processing unit (Central Processing Unit, CPU for short). In the embodiment of the present invention, the CPU may be a single computing core or may include multiple computing cores.

The communication unit 330 is used to establish a communication channel so that the storage terminal can communicate with other terminals. Receive user data sent by other terminals or send user data to other terminals.

The present invention also provides a computer storage medium, wherein the computer storage medium can store a program, and when executed, the program can include some or all of the steps in the embodiments provided by the present invention. The storage medium may be a magnetic disk, an optical disk, a read-only memory (ROM) or a random access memory (RAM), etc.

Therefore, the present invention introduces weight sampling and performs ice coating monitoring based on sampling data and actual collected environmental data, which greatly improves the monitoring accuracy of ice coating thickness. At the same time, there is no need to run a neural network model, which reduces the amount of calculation and improves the data processing speed. , the technical effects achieved by this embodiment can be referred to the above description, and will not be described again here.

Those skilled in the art can clearly understand that the technology in the embodiments of the present invention can be implemented by means of software plus the necessary general hardware platform. Based on this understanding, the technical solutions in the embodiments of the present invention can be embodied in the form of software products in essence or in part that contribute to the existing technology. The computer software products are stored in a storage medium such as a USB flash drive, mobile phone, etc. Hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), magnetic disk or optical disk and other media that can store program code, including a number of instructions to make a A computer terminal (which may be a personal computer, a server, a second terminal, a network terminal, etc.) executes all or part of the steps of the methods described in various embodiments of the present invention.

The same and similar parts among the various embodiments in this specification can be referred to each other. In particular, for the terminal embodiment, since it is basically similar to the method embodiment, the description is relatively simple. For relevant details, please refer to the description in the method embodiment.

In the several embodiments provided by the present invention, it should be understood that the disclosed systems and methods can be implemented in other ways. For example, the system embodiments described above are only illustrative. For example, the division of the units is only a logical function division. In actual implementation, there may be other division methods. For example, multiple units or components may be combined or can be integrated into another system, or some features can be ignored, or not implemented. On the other hand, the coupling or direct coupling or communication connection between each other shown or discussed may be through some interfaces, indirect coupling or communication connection of the system or unit, which may be in electrical, mechanical or other forms.

The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place, or they may be distributed to multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

In addition, each functional unit in various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically alone, or two or more units can be integrated into one unit.

Although the present invention has been described in detail with reference to the accompanying drawings in conjunction with preferred embodiments, the present invention is not limited thereto. Without departing from the spirit and essence of the invention, those of ordinary skill in the art can make various equivalent modifications or substitutions to the embodiments of the invention, and these modifications or substitutions should be within the scope of the invention/any Those skilled in the art can easily think of changes or substitutions within the technical scope disclosed in the present invention, and they should all be covered by the protection scope of the present invention. Therefore, the protection scope of the present invention should be determined by the protection scope of the claims.

Claims (10)

1. A method for monitoring ice coating on a line, comprising:

acquiring weight change data from a sampling device provided to a target line;

acquiring environment data of a target line, comparing the environment data with a threshold value, and judging the effectiveness of the weight change data based on the threshold value comparison result;

if the weight change data are valid, calculating the ice coating thickness based on the weight change data, the ice density and the sampling area of the sampling device;

confirming that the ice coating thickness reaches a set alarm threshold value, and collecting weather forecast data of an area where a target line is located;

and estimating the ice coating thickness based on the weather forecast data and a corresponding function of the pre-stored weather data and the ice coating thickness, and outputting the estimated ice coating thickness as an early warning value.

2. The method of claim 1, wherein acquiring weight change data from a sampling device disposed on the target line comprises:

the method comprises the steps that initial weight values are obtained and stored from a sampling device, the sampling device comprises a fixing frame, a weight sensor, a controller, a communication module and a sampling sheet, the sampling sheet is movably connected with the fixing frame, the surface of the sampling sheet is consistent with the surface of a circuit, the weight sensor detects the weight of the sampling sheet, the weight sensor, the controller and the communication module are all fixed on the fixing frame, the weight sensor and the communication module are all electrically connected with the controller, and the controller is electrically connected with a power supply;

the actual weight value is obtained from the sampling device at regular intervals, and the difference between the actual weight value and the initial weight value is saved as weight change data.

3. The method of claim 1, wherein after acquiring weight change data from a sampling device disposed on the target line, the method further comprises:

judging whether the weight change data reach a preset weight threshold value or not:

if yes, judging that the target line is suspected to be covered with ice;

if not, judging that the target line is not covered with ice.

4. The method of claim 1, wherein obtaining environmental data of the target line and performing a threshold comparison on the environmental data, and determining the validity of the weight change data based on the threshold comparison result, comprises:

acquiring environmental data from an environmental detection sensor arranged on a target line, wherein the environmental data comprises temperature, humidity, wind speed, wind direction and air pressure;

judging whether the environmental data reach preset environmental thresholds or not:

if yes, judging that icing conditions exist, wherein the weight change data are valid;

if not, judging that icing conditions do not exist, and invalidating the weight change data.

5. The method of claim 1, wherein if the weight change data is valid, calculating the icing thickness based on the weight change data, the ice density, and the sampling area of the sampling device comprises:

calculating the quotient of the weight change data and the ice density to obtain the ice volume;

calculating the quotient of the ice volume and the sampling area to obtain the theoretical ice thickness;

and converting the theoretical ice thickness into the icing thickness by utilizing a conversion function based on historical data fitting.

6. The method of claim 1, wherein estimating the ice coating thickness based on the weather prediction data and a pre-stored correspondence function of weather data and ice coating thickness, and outputting the estimated ice coating thickness as an early warning value, comprises:

acquiring historical meteorological data and corresponding icing thickness, classifying the historical meteorological data, matching the maximum icing thickness for each class, and generating a piecewise function based on the corresponding relation between the meteorological data class and the maximum icing thickness;

and inputting the meteorological prediction data into the piecewise function to obtain an icing thickness prediction value, and displaying and outputting the icing thickness prediction value as an early warning value.

7. The method of claim 5, wherein after estimating the ice coating thickness based on the weather prediction data and a corresponding function of the pre-stored weather data and the ice coating thickness and outputting the estimated ice coating thickness as the pre-warning value, the method further comprises:

if the early warning value reaches a preset early warning threshold value, generating an emergency maintenance task, and preferentially sending the emergency maintenance task to a maintenance management terminal;

and receiving the actual icing thickness uploaded by the maintenance management terminal, and correcting the conversion function based on the actual icing thickness.

8. A line icing monitoring system comprising:

the first acquisition module is used for acquiring weight change data from a sampling device arranged on a target line;

the second acquisition module is used for acquiring the environment data of the target line;

the data processing module is used for calculating the thickness of the ice coating based on the weight change data, the ice density and the sampling area of the sampling device if the weight change data are valid;

the third acquisition module is used for confirming that the icing thickness reaches a set alarm threshold value and collecting weather forecast data of an area where a target line is located;

and the icing prediction module is used for estimating the icing thickness based on the weather prediction data and a corresponding function of the prestored weather data and the icing thickness, and outputting the estimated icing thickness as an early warning value.

9. A terminal, comprising:

the memory is used for storing a line icing monitoring program;

a processor for implementing the steps of the line icing monitoring method according to any of claims 1-7 when executing the line icing monitoring program.

10. A computer readable storage medium storing a computer program, characterized in that the readable storage medium has stored thereon a line icing monitoring program, which when executed by a processor implements the steps of the line icing monitoring method according to any of claims 1-7.