CN116777419A - Line icing monitoring method, system, terminal and storage medium - Google Patents
Line icing monitoring method, system, terminal and storage medium Download PDFInfo
- Publication number
- CN116777419A CN116777419A CN202310602711.5A CN202310602711A CN116777419A CN 116777419 A CN116777419 A CN 116777419A CN 202310602711 A CN202310602711 A CN 202310602711A CN 116777419 A CN116777419 A CN 116777419A
- Authority
- CN
- China
- Prior art keywords
- data
- icing
- thickness
- weight change
- ice
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 51
- 238000012544 monitoring process Methods 0.000 title claims abstract description 35
- 238000003860 storage Methods 0.000 title claims abstract description 14
- 230000008859 change Effects 0.000 claims abstract description 81
- 238000005070 sampling Methods 0.000 claims abstract description 79
- 239000011248 coating agent Substances 0.000 claims abstract description 63
- 238000000576 coating method Methods 0.000 claims abstract description 63
- 238000012423 maintenance Methods 0.000 claims abstract description 19
- 238000012545 processing Methods 0.000 claims abstract description 14
- 230000007613 environmental effect Effects 0.000 claims description 35
- 230000006870 function Effects 0.000 claims description 35
- 238000004891 communication Methods 0.000 claims description 17
- 238000006243 chemical reaction Methods 0.000 claims description 10
- 238000001514 detection method Methods 0.000 claims description 5
- 238000004590 computer program Methods 0.000 claims description 3
- 238000003062 neural network model Methods 0.000 abstract description 4
- 230000005540 biological transmission Effects 0.000 description 25
- 230000008878 coupling Effects 0.000 description 3
- 238000010168 coupling process Methods 0.000 description 3
- 238000005859 coupling reaction Methods 0.000 description 3
- 238000010586 diagram Methods 0.000 description 3
- 230000003287 optical effect Effects 0.000 description 3
- 230000008569 process Effects 0.000 description 3
- 238000006467 substitution reaction Methods 0.000 description 3
- 239000004020 conductor Substances 0.000 description 2
- 238000013461 design Methods 0.000 description 2
- 239000012212 insulator Substances 0.000 description 2
- 239000010410 layer Substances 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 239000002344 surface layer Substances 0.000 description 2
- XAGFODPZIPBFFR-UHFFFAOYSA-N aluminium Chemical compound [Al] XAGFODPZIPBFFR-UHFFFAOYSA-N 0.000 description 1
- 229910052782 aluminium Inorganic materials 0.000 description 1
- 238000009833 condensation Methods 0.000 description 1
- 230000005494 condensation Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000001419 dependent effect Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000009826 distribution Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 238000010295 mobile communication Methods 0.000 description 1
- 230000002265 prevention Effects 0.000 description 1
- 230000003068 static effect Effects 0.000 description 1
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 1
Landscapes
- Testing Or Calibration Of Command Recording Devices (AREA)
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
Technical Field
The invention belongs to the technical field of power maintenance, and particularly relates to a line icing monitoring method, a line icing monitoring system, a line icing monitoring terminal and a storage medium.
Background
The icing of the transmission line refers to the phenomenon that a firm and compact transparent or semitransparent ice layer is generated at the positions of a wire, a lightning conductor, an insulator string and the like of the transmission line due to condensation of water drops in rainfall or snowfall weather with the temperature lower than minus five degrees. When the weight of the ice layer exceeds the design load of the power transmission line, the lead or the lightning conductor may be broken, the hardware fittings and the insulators are damaged, and even a pole falling accident is caused under serious conditions. With the high-speed development of the power system, the coverage distribution of the power transmission line in each region is more dense, and the damage and loss of the power grid caused by the ice coating of the power transmission line are more serious, so that the power transmission line can be effectively monitored for ice coating, and further, the prevention or the provision of a reliable deicing scheme is particularly important.
Most of the existing line icing monitoring methods utilize a neural network model to estimate the icing thickness based on meteorological data. The input factors of the mode are single, and because the meteorological data belong to prediction data and are regional average data, the meteorological data are different from the environmental data of the line, and the thickness of the ice coating obtained by the mode is greatly different from the actual thickness of the ice coating.
Therefore, how to improve the ice coating thickness monitoring precision of the power transmission line and the real-time performance of generating early warning are technical problems to be solved.
Disclosure of Invention
Aiming at the defects in the prior art, the invention provides a line icing monitoring method, a line icing monitoring system, a line icing monitoring terminal and a line icing storage medium, so as to solve the technical problems that the icing thickness monitoring precision is poor and early warning cannot be carried out in the prior art.
In a first aspect, the present invention provides a line icing monitoring method, including:
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.
Further, the weight change data is obtained from a sampling device provided in the target line, including:
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.
Further, after acquiring the weight change data from the sampling device provided to the target line, the method further includes:
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.
Further, obtaining environmental data of the target line, comparing the environmental data with a threshold value, and judging the validity of the weight change data based on the threshold value comparison result, wherein the method comprises the following steps:
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.
Further, if the weight change data is valid, calculating the ice coating thickness based on the weight change data, the ice density, and the sampling area of the sampling device includes:
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.
Further, 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 an early warning value, including:
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.
Further, 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 an early 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.
In a second aspect, the present invention provides 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 environmental data of the target line, comparing the environmental data with a threshold value, and judging the effectiveness of the weight change data based on the threshold value comparison result;
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.
In a third aspect, a terminal is provided, including:
a processor, a memory, wherein,
the memory is used for storing a computer program,
the processor is configured to call and run the computer program from the memory, so that the terminal performs the method of the terminal as described above.
In a fourth aspect, there is provided a computer storage medium having instructions stored therein which, when run on a computer, cause the computer to perform the method of the above aspects.
The invention has the advantages that,
according to the line icing monitoring method, system, terminal and storage medium, weight sampling is introduced, icing monitoring is carried out based on sampling data and actually acquired environmental data, so that the monitoring accuracy of 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.
In addition, the invention has reliable design principle, simple structure and very wide application prospect.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are required to be used in the description of the embodiments or the prior art will be briefly described below, and it will be obvious to those skilled in the art that other drawings can be obtained from these drawings without inventive effort.
FIG. 1 is a schematic flow chart of a method of one embodiment of the invention.
FIG. 2 is a schematic block diagram of a system of one embodiment of the present invention.
Fig. 3 is a schematic structural diagram of a terminal according to an embodiment of the present invention.
Detailed Description
In order to make the technical solution of the present invention better understood by those skilled in the art, the technical solution of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present invention without making any inventive effort, shall fall within the scope of the present invention.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. The terminology used herein in the description of the invention is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention.
The line icing monitoring method provided by the embodiment of the invention is executed by the computer equipment, and correspondingly, the line icing monitoring system is operated in the computer equipment.
FIG. 1 is a schematic flow chart of a method of one embodiment of the invention. The execution body of fig. 1 may be a line icing monitoring system.
As shown in fig. 1, the method includes:
step 110, acquiring weight change data from a sampling device arranged on a target line;
step 120, obtaining the environmental data of the target line, comparing the environmental data with a threshold value, and judging the effectiveness of the weight change data based on the threshold value comparison result;
step 130, if the weight change data is valid, calculating the ice coating thickness based on the weight change data, the ice density and the sampling area of the sampling device;
step 140, 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 150, 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, a database system is relied on, the icing conditions of an icing sampling module and a target power transmission line are tested under different meteorological conditions in advance before the actual meteorological environment of an application site is put into production and application, original experimental data are accumulated, and the data are imported into a control center module database, so that the accuracy of the power transmission line icing state monitoring method is guaranteed.
In order to facilitate understanding of the present invention, the method for monitoring line icing provided by the present invention is further described below with reference to the process of monitoring line icing in the embodiment by using the principle of the method for monitoring line icing of the present invention.
Specifically, the line icing monitoring method comprises the following steps:
s1, acquiring weight change data from a sampling device arranged on a target line.
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.
Specifically, the sampling device is a reduced equivalent substitution model of the power transmission line, and is used as a data acquisition object of the weight sensing module to effectively record the icing state of the power transmission line. The weight sensing module continuously collects weight change data of the icing sampling module and sends the weight change data to the control center module through the data transmission module.
The icing device is arranged on the target transmission line at proper intervals, the surface layer of the icing device adopts an aluminum shell, and the material of the icing device is the same as that of the surface layer of the overhead transmission line, so that the same icing incidence rate is achieved, and the icing state monitoring accuracy is effectively improved.
In one embodiment, to avoid erroneous determination, it is determined whether the weight change data reaches a preset weight threshold: 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.
Setting a lower threshold for weight change data, and preventing misjudgment on icing conditions caused by error factors such as rainfall, frosting, windage yaw and the like. When the weight change data does not exceed the lower threshold, the system judges that the weight change data is influenced by error factors, and the control center module does not process the weight change data; when the weight change data exceeds the lower threshold, the control center module immediately carries out data processing, and calculates and judges the thickness of the ice coating according to meteorological conditions.
S2, 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 a threshold value comparison result.
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.
Specifically, the temperature sensor, the humidity sensor, the wind speed sensor, the wind direction sensor and the air pressure sensor are utilized to continuously collect meteorological data such as temperature, humidity, wind speed, wind direction, air pressure and the like of the running environment of the target power transmission line, and the meteorological data are sent to the control center module through the data transmission module. The data transmission module adopts 5G network signals to carry out data interaction, the 5G network is totally called a fifth generation mobile communication network, the peak theoretical transmission speed can reach 20Gbps, the data transmission speed is 2.5GB per second, the signal anti-interference capability is high, the influence of severe weather conditions such as rain and snow is not easy to be influenced, the method is suitable for various extreme operating environments, and the universality and the accuracy of the monitoring method of the icing state of the power transmission line are ensured.
And comprehensively analyzing various meteorological data, and judging whether the line operation environment has ice coating conditions or not. And when the judgment result is negative, judging that the target power transmission line does not have the icing condition currently, classifying the received weight change data into useless data, and not processing. And when the judgment result is yes, analyzing the weight change data of the icing sampling module. If the weight change data does not exceed the preset threshold value, judging that the target power transmission line has ice coating conditions, but ice coating does not occur yet. And if the weight change data exceeds a preset threshold value, judging that the target power transmission line has ice coating conditions and ice coating occurs.
And S3, 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.
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.
Specifically, when it is determined that the icing condition exists in the target power transmission line and icing occurs, calculating to obtain an icing volume according to weight change data of the icing sampling module and the density of ice, calculating to obtain a theoretical ice thickness of the current icing sampling module according to the icing volume and the surface area of the sampling piece, and finally converting the theoretical ice thickness into the icing thickness of the target power transmission line through a conversion function.
And storing weight change data and actual ice coating thickness in the same period in a historical database, taking the theoretical ice thickness calculated based on the weight change data as an independent variable, and carrying out data fitting on the actual ice coating thickness as the dependent variable to obtain a conversion function.
And S4, confirming that the thickness of the ice coating reaches a set alarm threshold value, and collecting weather forecast data of an area where the target line is located.
And presetting a thickness threshold value for starting alarm, judging whether the thickness of the ice coating reaches the thickness threshold value, generating an ice coating alarm of the target line if the thickness threshold value is reached, and collecting weather forecast data of an area where the target line is located, wherein the weather forecast data comprise temperature, humidity, wind speed and the like.
And S5, estimating the ice coating thickness based on the weather forecast data and a corresponding function of the prestored weather data and the ice coating thickness, and outputting the estimated ice coating thickness as an early warning value.
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.
For example, five levels are divided for temperature from low to high, 5 levels are divided for humidity from low to high, and 5 levels are divided for wind speed. Summarizing historical data, generating a matched maximum icing thickness for each collocation scheme, for example, searching the maximum icing thickness for a temperature level, a humidity level 2 and a wind speed level 4. The generated piecewise function is as follows:
wherein x represents temperature, y represents humidity, z represents wind speed, h1 represents temperature at first level, humidity at first level, maximum icing thickness when wind speed is at first level, and other parameters are the same.
And matching the weather forecast data with the grade, further generating a matched maximum icing thickness, and outputting the maximum icing thickness as an early warning value.
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; if the early warning value does not reach the set early warning threshold value, judging that the emergency degree of the corresponding alarm is low, and processing the alarm with high priority after processing the alarm.
And receiving the actual icing thickness uploaded by the maintenance management terminal, and correcting the conversion function based on the actual icing thickness. For example, a maintainer maintaining the management terminal performs field icing detection and processing based on a maintenance task to obtain the actual icing thickness of the target line, and stores the actual icing thickness and corresponding weight change data into a historical database.
As shown in fig. 2, the system 200 includes:
a first acquisition module 210 for acquiring weight change data from a sampling device provided to a target line;
the second obtaining module 220 is configured to obtain environmental data of the target line, perform threshold comparison on the environmental data, and determine validity of the weight change data based on a threshold comparison result;
the data processing module 230 is configured to calculate the ice thickness based on the weight change data, the ice density and the sampling area of the sampling device if the weight change data is valid;
a third obtaining module 240, configured to confirm that the ice thickness reaches a set alarm threshold, and collect weather forecast data of an area where the target line is located;
the icing prediction module 250 is configured to estimate an icing thickness based on the weather prediction data and a corresponding function of the pre-stored weather data and the icing thickness, and output the estimated icing thickness as an early warning value.
Alternatively, as an embodiment of the present invention, acquiring weight change data from a sampling device provided to a target line includes:
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.
Optionally, as an embodiment of the present invention, after acquiring weight change data from a sampling device provided to the target line, the system further performs:
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.
Optionally, as an embodiment of the present invention, obtaining environmental data of a target line and comparing the environmental data with a threshold, and determining the validity of weight change data based on the threshold comparison result includes:
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.
Optionally, as an embodiment of the present invention, if the weight change data is valid, calculating the ice coating thickness based on the weight change data, the ice density, and the sampling area of the sampling device includes:
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.
Optionally, as an embodiment of the present invention, estimating the thickness of the ice coating based on the weather prediction data and a corresponding function of the pre-stored weather data and the thickness of the ice coating, and outputting the estimated thickness of the ice coating as the early warning value, including:
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.
Optionally, as an embodiment of the present invention, 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 early warning value, the system further performs:
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.
Fig. 3 is a schematic structural diagram of a terminal 300 according to an embodiment of the present invention, where the terminal 300 may be used to execute the line icing monitoring method according to the embodiment of the present invention.
The terminal 300 may include: a processor 310, a memory 320 and a communication unit 330. The components may communicate via one or more buses, and it will be appreciated by those skilled in the art that the configuration of the server as shown in the drawings is not limiting of the invention, as it may be a bus-like structure, a star-like structure, or include more or fewer components than shown, or may be a combination of certain components or a different arrangement of components.
The memory 320 may be used to store instructions for execution by the processor 310, and the memory 320 may be implemented by any type of volatile or non-volatile memory terminal or combination thereof, such as Static Random Access Memory (SRAM), electrically 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 disk, or optical disk. The execution of the instructions in memory 320, when executed by processor 310, enables terminal 300 to perform some or all of the steps in the method embodiments described below.
The processor 310 is a control center of the storage terminal, connects various parts of the entire electronic terminal using various interfaces and lines, and performs various functions of the electronic terminal and/or processes data by running or executing software programs and/or modules stored in the memory 320, and invoking data stored in the memory. The processor may be comprised of an integrated circuit (Integrated Circuit, simply referred to as an IC), for example, a single packaged IC, or may be comprised of a plurality of packaged ICs connected to the same function or different functions. For example, the processor 310 may include only a central processing unit (Central Processing Unit, simply CPU). In the embodiment of the invention, the CPU can be a single operation core or can comprise multiple operation cores.
And a communication unit 330 for establishing a communication channel so that the storage terminal can communicate with other terminals. Receiving user data sent by other terminals or sending the user data to other terminals.
The present invention also provides a computer storage medium in which a program may be stored, which program may include some or all of the steps in the embodiments provided by the present invention when executed. The storage medium may be a magnetic disk, an optical disk, a read-only memory (ROM), a random-access memory (random access memory, RAM), or the like.
Therefore, weight sampling is introduced, icing monitoring is performed based on sampling data and actually acquired environmental data, so that 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, the data processing speed is improved, and the technical effects achieved by the embodiment can be seen from the description above and are not repeated here.
It will be apparent to those skilled in the art that the techniques of embodiments of the present invention may be implemented in software plus a necessary general purpose hardware platform. Based on such understanding, the technical solution in the embodiments of the present invention may be embodied essentially or in a part contributing to the prior art in the form of a software product stored in a storage medium such as a U-disc, a mobile hard disc, a Read-only Memory (ROM), a random access Memory (RAM, random Ac ce s s Memory), a magnetic disk or an optical disk, etc. various media capable of storing program codes, including several instructions for causing a computer terminal (which may be a personal computer, a server, or a second terminal, a network terminal, etc.) to execute all or part of the steps of the method described in the embodiments of the present invention.
The same or similar parts between the various embodiments in this specification are referred to each other. In particular, for the terminal embodiment, since it is substantially similar to the method embodiment, the description is relatively simple, and reference should be made to the description in the method embodiment for relevant points.
In the several embodiments provided by the present invention, it should be understood that the disclosed systems and methods may be implemented in other ways. For example, the system embodiments described above are merely illustrative, e.g., the division of the elements is merely a logical functional division, and there may be additional divisions when actually implemented, e.g., multiple elements or components may be combined or integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be through some interface, system or unit indirect coupling or communication connection, which may be in electrical, mechanical or other form.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in the embodiments of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit.
Although the present invention has been described in detail by way of preferred embodiments with reference to the accompanying drawings, the present invention is not limited thereto. Various equivalent modifications and substitutions may be made in the embodiments of the present invention by those skilled in the art without departing from the spirit and scope of the present invention, and it is intended that all such modifications and substitutions be within the scope of the present invention/be within the scope of the present invention as defined by the appended claims. Therefore, the protection scope of the present invention shall be subject to 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.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310602711.5A CN116777419A (en) | 2023-05-24 | 2023-05-24 | Line icing monitoring method, system, terminal and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310602711.5A CN116777419A (en) | 2023-05-24 | 2023-05-24 | Line icing monitoring method, system, terminal and storage medium |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN116777419A true CN116777419A (en) | 2023-09-19 |
Family
ID=87990496
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202310602711.5A Pending CN116777419A (en) | 2023-05-24 | 2023-05-24 | Line icing monitoring method, system, terminal and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN116777419A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117131465A (en) * | 2023-10-26 | 2023-11-28 | 中国铁塔股份有限公司 | Single-pipe tower damage identification method and device, electronic equipment and readable storage medium |
-
2023
- 2023-05-24 CN CN202310602711.5A patent/CN116777419A/en active Pending
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117131465A (en) * | 2023-10-26 | 2023-11-28 | 中国铁塔股份有限公司 | Single-pipe tower damage identification method and device, electronic equipment and readable storage medium |
| CN117131465B (en) * | 2023-10-26 | 2024-01-30 | 中国铁塔股份有限公司 | Single-pipe tower damage identification method and device, electronic equipment and readable storage medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US20180316219A1 (en) | System and method for generating a transmission line reliability rating | |
| CN105334551A (en) | Power grid weather predicting and early-warning system based on numerical weather prediction model | |
| CN116777419A (en) | Line icing monitoring method, system, terminal and storage medium | |
| CN117408514A (en) | Intelligent operation and maintenance transformer substation monitoring and early warning system and method based on multi-parameter sensor | |
| CN112766372A (en) | Power equipment state monitoring and early warning method and system based on microclimate perception | |
| CN102288145A (en) | Icing thickness monitoring system of overhead power transmission line and method | |
| CN110390117B (en) | Numerical simulation method and system for thunderstorm electrification process | |
| CN104573340A (en) | Method for calculating time-variable reliability of power transmission line in freezing weather | |
| CN117477558A (en) | Prediction method and system based on power grid load | |
| CN115902700A (en) | Pollution flashover early warning method, device, equipment and medium for insulator of power transmission line | |
| CN116523140A (en) | Method and device for detecting electricity theft, electronic equipment and storage medium | |
| CN116050599A (en) | Line icing fault prediction method, system, storage medium and equipment | |
| CN116780758A (en) | On-line monitoring system and method for multi-sensor data fusion of power transmission line | |
| CN114241292A (en) | Power transmission line icing monitoring method and device based on intelligent gateway | |
| CN117708523A (en) | Electrical insulation characteristic analysis management system of indoor epoxy resin insulation equipment | |
| CN114241734B (en) | Immersion early warning method and device, electronic equipment and storage medium | |
| EP3695253B1 (en) | Method for warning about lightning activity in wind farms | |
| JP3172647B2 (en) | Transmission line snow damage prediction method and device | |
| JP7224640B2 (en) | Abnormality determination method and apparatus for photovoltaic power generation device without using weather information | |
| CN112054594A (en) | Intelligent state monitoring system of power distribution station | |
| CN108761175B (en) | Ground potential rise detection system and power transmission line lightning stroke condition determination method | |
| CN117767578B (en) | Abnormal data discrimination method for dynamic capacity-increasing monitoring terminal of power transmission line | |
| CN113296047A (en) | Intelligent ammeter detection method | |
| CN111443226A (en) | Electricity stealing analysis method utilizing low current record of three-phase intelligent meter | |
| CN114838699B (en) | Deformation monitoring method, device and equipment of power transmission tower and storage medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |