CN112821388B - Line lightning trip-out analysis method, device, equipment and storage medium - Google Patents
Line lightning trip-out analysis method, device, equipment and storage medium Download PDFInfo
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Abstract
The invention discloses a method, a device, equipment and a storage medium for analyzing line lightning stroke tripping, wherein the method comprises the following steps: carrying out longitude and latitude gridding division on the area of the distribution network line to obtain an area grid; acquiring environmental data, historical lightning falling data of a distribution network line corridor and historical tripping data of the distribution network line corridor; determining a lightning strike-out susceptibility coefficient of each unit grid in the area grid according to the historical lightning strike-out data of the distribution network line corridor and the historical trip-out data of the distribution network line corridor; and mapping the environment data and the thunderbolt vulnerability coefficient to each unit grid of the area grid. By carrying out gridding division on the distribution network lines and combining the environmental data and the lightning strike-off susceptibility coefficient in the grid, the mapping relation between the environmental data and the lightning strike-off susceptibility coefficient in the grid is obtained, so that the influence degree of different distribution network line corridor environments on lightning strike tripping is quantitatively expressed, and the accuracy of evaluation is greatly improved.
Description
Technical Field
The invention relates to the technical field of line risk assessment, in particular to a line lightning trip analysis method, a line lightning trip analysis device, line lightning trip analysis equipment and a storage medium.
Background
The difference between the urban power distribution network and the main network is obvious, the line height is low, the insulation level is poor, the trunk lines and the branch lines are complex in complexity, line tripping accidents happen occasionally, and the safety operation of the lines is seriously damaged by lightning trip. At present, protection assessment about lightning trip of a power transmission line is mainly aiming at a main network line, lightning protection aiming at a distribution network line is only limited to simulation analysis, pertinence is not achieved, the characteristics of distribution network line corridor environment are not fully considered, and assessment accuracy is low. Different from the main network, it is everywhere in city that the net distribution line spreads, its corridor environment is more complicated, in the corridor or queue the building of uneven height, or trees of luxuriant branches and leaves, or level Liaoliao farmland, different corridor environment can play different influence to the circuit when falling the thunder, when the corridor uses the building to give first place to, part falls the thunder can be guided by the lightning rod of building top, and then play certain guard action to the circuit, when the corridor uses the farmland to give first place to, because crops highly generally are less than net distribution line, when falling the thunder takes place, the probability that the circuit received the thunderbolt is great.
Disclosure of Invention
The invention mainly aims to provide a line lightning trip analysis method, a line lightning trip analysis device, line lightning trip analysis equipment and a storage medium, and aims to solve the technical problem of low evaluation accuracy.
In order to achieve the above object, a first aspect of the embodiments of the present application provides a method for analyzing a line lightning trip, where the method includes the following steps:
carrying out longitude and latitude gridding division on the area of the distribution network line to obtain an area grid;
acquiring environmental data, historical lightning falling data of a distribution network line corridor and historical tripping data of the distribution network line corridor;
determining a lightning strike-out susceptibility coefficient of each unit grid in the area grid according to the historical lightning strike-out data of the distribution network line corridor and the historical trip-out data of the distribution network line corridor;
and mapping the environment data and the thunderbolt vulnerability coefficient to each unit grid of the area grid.
In an implementation manner of the first aspect, the determining, according to the historical lightning strike data of the distribution network line corridor and the historical trip data of the distribution network line corridor, a lightning strike susceptibility coefficient of each unit grid in the area grid includes:
according to the historical lightning falling data of the distribution network line corridor, counting the number of lightning falling times of each unit grid in the area grid within a preset time interval;
according to the historical trip data of the distribution network line corridor, the trip times of each unit grid in the area grid within a preset time interval are counted;
and determining the lightning strike-off susceptibility coefficient of each unit grid according to the lightning strike-off times and the trip-out times.
In one embodiment of the first aspect, the lightning strike susceptibility coefficient is a ratio of the trip times to the lightning strike times.
In one embodiment of the first aspect, the mapping the environmental data and the thunderbolt susceptibility coefficient into each unit grid of the area grid includes:
determining a building grid in the area grid according to the building data;
extracting a building floor space proportion, a highest building height and an average building height in a grid from the building data;
fitting the building floor proportion, the highest building height and the average building height in the grid with the lightning strike-out coefficient through multiple linear regression to determine a relational expression of the building floor proportion, the highest building height and the average building height in the grid with the lightning strike-out coefficient;
and according to the building data of the unit grids in the building grids, calculating the building lightning strike-out susceptibility coefficient of each unit grid through the relational expression, and mapping the building lightning strike-out susceptibility coefficient into the corresponding unit grid.
In an embodiment of the first aspect, the mapping the environmental data and the thunderbolt susceptibility coefficient into each unit grid of the area grid includes:
determining a woodland grid in the area grid according to the woodland data;
determining the woodland type of the woodland grid according to the woodland data;
according to the forest land type, carrying out averaging processing on the lightning strike-easily coefficient corresponding to each unit grid in the same forest land type, and determining the lightning strike-easily coefficient of the forest land;
and mapping the forest land thunderbolt vulnerability coefficient to a corresponding unit grid.
In one embodiment of the first aspect, the mapping the environmental data and the thunderbolt susceptibility coefficient into each unit grid of the area grid includes:
determining farmland grids in the region grids according to the farmland data;
carrying out averaging and standardization processing on the lightning strike-through coefficients corresponding to each unit grid in the farmland grids to determine the lightning strike-through coefficients of the farmland;
and mapping the farmland thunderstrike vulnerability coefficient to a corresponding unit grid.
A second aspect of the embodiments of the present application provides a line lightning trip analysis device, which includes:
the dividing unit is used for gridding and dividing to obtain a region grid;
the system comprises an acquisition unit, a control unit and a control unit, wherein the acquisition unit is used for acquiring environmental data, historical lightning falling data of a distribution network line corridor and historical tripping data of the distribution network line corridor;
the determining unit is used for determining the lightning strike-off susceptibility coefficient of each unit grid in the area grid according to the historical lightning strike-off data of the distribution network line corridor and the historical trip-out data of the distribution network line corridor;
and the mapping unit is used for mapping the environment data and the thunderbolt vulnerability coefficient to each unit grid of the area grid.
In one embodiment of the second aspect, the determining unit comprises:
the first statistical unit is used for counting the lightning falling times of each unit grid in the area grid within a preset time interval according to the historical lightning falling data of the distribution network line corridor;
the second statistical unit is used for counting the trip times of each unit grid in the area grid within a preset time interval according to the historical trip data of the distribution network line corridor;
and the coefficient determining unit is used for determining the lightning strike-off susceptibility coefficient of each unit grid according to the lightning strike-off times and the trip times.
A third aspect of embodiments of the present application provides an electronic device, including: a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein: the computer program when executed by the processor implements the steps of the line lightning trip analysis method according to the first aspect.
A fourth aspect of embodiments of the present application provides a computer storage medium having a computer program stored thereon, where the computer program, when executed by a processor, implements the steps of the line lightning trip analysis method according to the first aspect.
The scheme of the invention at least comprises the following beneficial effects:
according to the method, the distribution network lines are divided in a gridding mode, and the mapping relation between the environmental data in the grid and the lightning strike-out easiness coefficient is obtained by combining the environmental data in the grid and the lightning strike-out easiness coefficient, so that the influence degree of different distribution network line corridor environments on lightning strike tripping is quantitatively expressed, and the accuracy of evaluation is greatly improved.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a flow chart of the steps of a method for analyzing a line lightning trip-out according to the present invention;
fig. 2 is a block diagram of a circuit lightning trip analysis device according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that all the directional indicators (such as upper, lower, left, right, front, and rear … …) in the embodiment of the present invention are only used to explain the relative position relationship between the components, the motion situation, and the like in a specific posture (as shown in the drawing), and if the specific posture is changed, the directional indicator is changed accordingly.
In addition, the descriptions related to "first", "second", etc. in the present invention are only for descriptive purposes and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. In the description of the present invention, "a plurality" means at least two, e.g., two, three, etc., unless explicitly specified otherwise.
In the present invention, unless otherwise expressly stated or limited, the terms "connected," "secured," and the like are to be construed broadly, and for example, "secured" may be a fixed connection, a removable connection, or an integral part; can be mechanically or electrically connected; they may be directly connected or indirectly connected through intervening media, or they may be connected internally or in any other suitable relationship, unless expressly stated otherwise. The specific meanings of the above terms in the present invention can be understood by those skilled in the art according to specific situations.
In addition, the technical solutions in the embodiments of the present invention may be combined with each other, but it must be based on the realization of those skilled in the art, and when the technical solutions are contradictory or cannot be realized, such a combination of technical solutions should not be considered to exist, and is not within the protection scope of the present invention. It should be noted that the strong current hook and the weak current hook mentioned in the following embodiments are not provided for the type of wire to which the hooks can be attached, and are only for convenience of description.
Referring to fig. 1, an embodiment of the present application provides a method for analyzing a line lightning trip, where the method includes the following steps:
s1, carrying out longitude and latitude gridding division on the area of the distribution network line to obtain an area grid.
In this embodiment, the width of the distribution network line corridor is about 1000 meters, and then 0.01 ° by 0.01 ° (about 1 square kilometer) can be selected with reference to the size of the grid of the main network line grid region, and the latitude and longitude range is set so as to ensure that the assessed city is fully covered by the grid of the region.
S2, obtaining environmental data, historical lightning falling data of the distribution network line corridor and historical tripping data of the distribution network line corridor.
Considering that it is impossible for all regional grids to have line tripping, that is, the lightning strike-prone coefficient of a large number of grids is 0, environmental data needs to be extracted so as to analyze the influence of different environments on line corridors.
And S3, determining the lightning strike-out susceptibility coefficient of each unit grid in the area grid according to the historical lightning strike-out data of the distribution network line corridor and the historical trip-out data of the distribution network line corridor.
And S4, mapping the environment data and the thunderbolt susceptibility coefficient to each unit grid of the area grid.
In an embodiment, the determining, according to the historical lightning strike data of the distribution network line corridor and the historical trip data of the distribution network line corridor, a lightning strike susceptibility coefficient of each unit grid in the area grid includes:
and S31, counting the lightning falling times of each unit grid in the area grid within a preset time interval according to the historical lightning falling data of the distribution network line corridor.
And S32, counting the trip times of each unit grid in the area grid within a preset time interval according to the historical trip data of the distribution network line corridor.
And S33, determining the lightning strike-off susceptibility coefficient of each unit grid according to the lightning strike-off times and the trip-out times.
In this embodiment, the lightning strike susceptibility coefficient is a ratio of the trip frequency to the lightning strike frequency. The lightning falling frequency t1 in each grid within a certain time interval is counted according to historical lightning falling data of the distribution network line corridor, the trip frequency t2 of each grid is counted by taking the grid as a unit in the same time interval according to historical trip data of the distribution network line corridor, and the trip frequency t2 are compared to obtain a lightning falling impact-prone coefficient alpha = t2/t1 taking the grid as a unit, so that the shielding effect of the distribution network line corridor environment on lightning, namely the protection effect on the line, is represented. The number of the distribution network line insulation configurations and the number of the tower line types are small and relatively uniform, so that the difference of the line insulation levels is not considered.
In one embodiment, the mapping the environmental data and the thunderbolt susceptibility coefficient into each unit grid of the area grid includes:
s411, determining the building grids in the area grids according to the building data.
And S412, extracting the floor space proportion of the building, the highest building height and the average building height in the grid from the building data.
S413, fitting the building floor occupation proportion, the highest building height and the average building height in the grid with the lightning strike-off coefficient through multiple linear regression, and determining a relational expression of the building floor occupation proportion, the highest building height and the average building height in the grid with the lightning strike-off coefficient.
And S414, according to the building data of the unit grids in the building grids, calculating the building lightning strike-out susceptibility coefficient of each unit grid through the relational expression, and mapping the building lightning strike-out susceptibility coefficient to the corresponding unit grid.
In one embodiment, the mapping the environmental data and the thunderbolt susceptibility coefficient into each unit grid of the area grid includes:
s421, determining a forest land grid in the area grid according to the forest land data;
s422, determining the woodland type of the woodland grid according to the woodland data;
s423, according to the forest land type, carrying out average number processing on the lightning strike-off susceptibility coefficient corresponding to each unit grid in the same forest land type, and determining the lightning strike-off susceptibility coefficient of the forest land;
and S424, mapping the forest land thunderbolt easily-hit coefficient to a corresponding unit grid.
In this embodiment, the types of forest lands include brush forests, forest lands and the like, and since the influence of different types of forest lands on lightning trip-out is definitely different, the lightning strike vulnerability coefficient needs to be processed for unit grids of different forest land types, so that the accuracy of lightning strike trip-out analysis in the range of forest lands can be further improved.
In one embodiment, the mapping the environmental data and the thunderbolt susceptibility coefficient into each unit grid of the area grid includes:
and S431, determining the farmland grids in the region grids according to the farmland data.
S432, carrying out averaging and standardization processing on the lightning strike-through coefficients corresponding to each unit grid in the farmland grids, and determining the lightning strike-through coefficients of the farmland.
And S433, mapping the farmland thunderfall easy-hit coefficient to a corresponding unit grid.
In the embodiment, woodland grids and building grids are generally removed, the rest grids have no high shields and can be uniformly classified into farmland grids, mean values are also adopted for carrying out lightning strike-off factor mapping and are applied to all farmland grids, after the lightning strike-off factors of all farmland grids are obtained, the mean values and the standardization processing are carried out on the lightning strike-off factors, and finally the influence degree of corridor environments in different areas on lightning strike tripping can be inquired through position coordinates.
Referring to fig. 2, in an implementation of the present application, there is provided a line lightning trip analysis device, including:
the dividing unit is used for gridding and dividing to obtain a region grid;
the system comprises an acquisition unit, a control unit and a control unit, wherein the acquisition unit is used for acquiring environmental data, historical lightning falling data of a distribution network line corridor and historical tripping data of the distribution network line corridor;
the determining unit is used for determining the lightning strike-off susceptibility coefficient of each unit grid in the area grid according to the historical lightning strike-off data of the distribution network line corridor and the historical trip-out data of the distribution network line corridor;
and the mapping unit is used for mapping the environment data and the thunderbolt vulnerability coefficient to each unit grid of the area grid.
In one embodiment, the determining unit includes:
the first statistical unit is used for counting the lightning falling times of each unit grid in the area grid within a preset time interval according to the historical lightning falling data of the distribution network line corridor;
the second statistical unit is used for counting the trip times of each unit grid in the area grid within a preset time interval according to the historical trip data of the distribution network line corridor;
and the coefficient determining unit is used for determining the lightning strike-off susceptibility coefficient of each unit grid according to the lightning strike-off times and the trip times.
The steps implemented by each functional module of the device can refer to each embodiment of the line lightning trip analysis method, and are not described herein again.
In addition, an embodiment of the present invention further provides an electronic device, where the electronic device includes: a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein:
the computer program, when executed by the processor, implements the steps of the line lightning trip analysis method described in the various embodiments above.
In addition, the embodiment of the invention also provides a computer storage medium.
The computer storage medium stores thereon a computer program, which when executed by a processor, implements the operations of the line lightning trip analysis method provided by the above embodiments.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity/action/object from another entity/action/object without necessarily requiring or implying any actual such relationship or order between such entities/actions/objects; the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element described by the phrase "comprising" does not exclude the presence of other identical elements in processes, methods, articles, or devices that comprise the element.
For the apparatus embodiment, since it is substantially similar to the method embodiment, it is described relatively simply, and reference may be made to some descriptions of the method embodiment for relevant points. The above-described apparatus embodiments are merely illustrative, in that elements described as separate components may or may not be physically separate. Some or all of the modules can be selected according to actual needs to achieve the purpose of the scheme of the invention. One of ordinary skill in the art can understand and implement it without inventive effort.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium (e.g., ROM/RAM, magnetic disk, optical disk) as described above and includes instructions for enabling a terminal device (e.g., a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method according to the embodiments of the present invention.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (7)
1. A method for analyzing a line lightning trip, characterized by comprising the steps of: carrying out longitude and latitude gridding division on the area of the distribution network line to obtain an area grid;
acquiring environmental data, historical lightning falling data of a distribution network line corridor and historical tripping data of the distribution network line corridor;
determining a lightning strike-out susceptibility coefficient of each unit grid in the area grid according to the historical lightning strike-out data of the distribution network line corridor and the historical trip-out data of the distribution network line corridor;
mapping the environment data and the thunderbolt vulnerability coefficient to each unit grid of the area grid;
the environment data includes building data, and the mapping the environment data and the thunderbolt susceptibility coefficient into each unit grid of the area grid includes:
determining a building grid in the area grid according to the building data;
extracting a building floor space proportion, a highest building height and an average building height in a grid from the building data;
fitting the building floor proportion, the highest building height and the average building height in the grid with the lightning strike-out coefficient through multiple linear regression to determine a relational expression of the building floor proportion, the highest building height and the average building height in the grid with the lightning strike-out coefficient;
according to the building data of unit grids in the building grids, calculating building lightning strike-out susceptibility coefficients of the unit grids through the relational expression, and mapping the building lightning strike-out susceptibility coefficients into corresponding unit grids;
the environment data includes woodland data, and the mapping of the environment data and the thunderbolt susceptibility coefficient to each unit grid of the area grid includes:
determining a woodland grid in the area grid according to the woodland data;
determining the woodland type of the woodland grid according to the woodland data; according to the forest land type, carrying out averaging processing on the lightning strike-through coefficients corresponding to each unit grid in the same forest land type, and determining the lightning strike-through coefficients of the forest land;
mapping the forest land thunderbolt strike-prone coefficient to a corresponding unit grid;
the environment data includes farmland data, and the mapping of the environment data and the thunderbolt susceptibility coefficient to each unit grid of the area grid includes:
determining farmland grids in the region grids according to the farmland data;
carrying out averaging and standardization processing on the lightning strike-through coefficients corresponding to each unit grid in the farmland grids to determine the lightning strike-through coefficients of the farmland;
and mapping the farmland thunderstrike vulnerability coefficient to a corresponding unit grid.
2. The method of claim 1, wherein the determining the lightning strike susceptibility coefficient of each unit grid in the area grid according to the historical lightning strike data of the distribution network line corridor and the historical trip data of the distribution network line corridor comprises:
according to the historical lightning strike data of the distribution network line corridor, the number of lightning strike times of each unit grid in the area grid in a preset time interval is counted;
according to the historical trip data of the distribution network line corridor, the trip times of each unit grid in the area grid within a preset time interval are counted;
and determining the lightning strike-off susceptibility coefficient of each unit grid according to the lightning strike-off times and the trip-out times.
3. The method for analyzing the line lightning trip-out according to claim 2, wherein the lightning strike vulnerability coefficient is a ratio of the trip-out times to the lightning strike times.
4. A line lightning trip analysis device, characterized in that, line lightning trip analysis device includes: the dividing unit is used for gridding and dividing to obtain a region grid;
the system comprises an acquisition unit, a control unit and a control unit, wherein the acquisition unit is used for acquiring environmental data, historical lightning falling data of a distribution network line corridor and historical tripping data of the distribution network line corridor;
the determining unit is used for determining the lightning strike-off susceptibility coefficient of each unit grid in the area grid according to the historical lightning strike-off data of the distribution network line corridor and the historical trip-out data of the distribution network line corridor;
a mapping unit, configured to map the environment data and the thunderbolt susceptibility coefficient to each unit grid of the area grid;
the environment data includes building data, and the mapping the environment data and the thunderbolt susceptibility coefficient into each unit grid of the area grid includes:
determining a building grid in the area grid according to the building data;
extracting a building floor space proportion, a highest building height and an average building height in a grid from the building data;
fitting the building floor proportion, the highest building height and the average building height in the grid with the lightning strike-out coefficient through multiple linear regression to determine a relational expression of the building floor proportion, the highest building height and the average building height in the grid with the lightning strike-out coefficient;
according to the building data of unit grids in the building grids, calculating building lightning strike-out susceptibility coefficients of the unit grids through the relational expression, and mapping the building lightning strike-out susceptibility coefficients into corresponding unit grids;
the environment data includes woodland data, and the mapping of the environment data and the thunderbolt susceptibility coefficient to each unit grid of the area grid includes:
determining a woodland grid in the area grid according to the woodland data;
determining the woodland type of the woodland grid according to the woodland data; according to the forest land type, carrying out averaging processing on the lightning strike-through coefficients corresponding to each unit grid in the same forest land type, and determining the lightning strike-through coefficients of the forest land;
mapping the forest land thunderbolt strike-prone coefficient to a corresponding unit grid;
the environment data includes farmland data, and the mapping of the environment data and the thunderbolt susceptibility coefficient to each unit grid of the area grid includes:
determining farmland grids in the region grids according to the farmland data;
carrying out averaging and standardization processing on the lightning strike-through coefficients corresponding to each unit grid in the farmland grids to determine the lightning strike-through coefficients of the farmland;
and mapping the farmland thunderstrike vulnerability coefficient to a corresponding unit grid.
5. The line lightning trip analysis device of claim 4, wherein the determination unit comprises:
the first statistical unit is used for counting the lightning falling times of each unit grid in the area grid within a preset time interval according to the historical lightning falling data of the distribution network line corridor;
the second statistical unit is used for counting the trip times of each unit grid in the area grid within a preset time interval according to the historical trip data of the distribution network line corridor;
and the coefficient determining unit is used for determining the lightning strike-off susceptibility coefficient of each unit grid according to the lightning strike-off times and the trip times.
6. An electronic device, characterized in that the electronic device comprises: a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein: the computer program when executed by the processor implements the steps of the line lightning trip analysis method according to any of claims 1 to 3.
7. A computer storage medium, characterized in that the computer storage medium has stored thereon a computer program which, when being executed by a processor, carries out the steps of the line lightning trip analysis method according to any one of claims 1 to 3.
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