Freezing rain day number distribution diagram drawing method and device based on power grid icing monitoring data, equipment and medium

Abstract

The invention relates to a freezing rain day number distribution diagram drawing method and device based on power grid icing monitoring data, icing monitoring equipment and a computer readable storage medium. The method comprises the following steps: aiming at a plurality of different geographic areas, respectively acquiring a plurality of groups of icing monitoring data monitored by icing monitoring points of each geographic area in a preset time period; according to the icing monitoring data of each geographic area, determining the number of freezing rain days of each geographic area in the preset time period; and according to each freezing rain day number and the geographic position information of each geographic area, drawing a freezing rain day number distribution diagram. Because each power transmission line is basically provided with the icing monitoring device, the freezing rain of each geographic area is inversed based on the power grid icing monitoring data, a large amount of freezing rain observation data can be provided, the problem that the meteorological industry lacks freezing rain sensing data is solved, and the processing operation process is simple compared with modes such as machine learning.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of ice monitoring, in particular to a method and device for drawing a frozen rain day distribution map based on power grid ice monitoring data, an ice monitoring device and a computer readable storage medium. BACKGROUND

[0002] Frozen rain usually occurs in provinces such as Guizhou, Hunan and Jiangxi in southern China. In recent years, with the intensification of climate change, the influence range of frozen rain tends to shift. Frozen rain weather is closely related to the ice strength of the power grid, and is prone to cause frequent accidents such as line tripping, wire breaking and tower collapse.

[0003] The method for studying the law of frozen rain day distribution includes statistical experience model, semi-empirical-physical model, numerical model and machine learning model. Among them, the experience statistical model mainly establishes an empirical relationship between historical meteorological observation data and precipitation types, and studies the law of frozen rain by statistical methods; the semi-empirical-physical model screens numerical model parameters according to the freezing and thawing mechanism of frozen rain, provides atmospheric temperature and humidity profile, and combines a large number of observation samples to construct a statistical model, which has the advantage of high calculation efficiency; the numerical model combines meteorological numerical model with statistical model or semi-empirical-physical model of frozen rain to numerically predict frozen rain, which makes up for the shortcoming of traditional numerical weather model that cannot directly output frozen rain precipitation. Machine learning model usually uses neural network (DNN), support vector machine (SVM) and extreme gradient boosting (XGBoost) to mine the internal relationship between meteorological elements and frozen rain, and construct an inversion model.

[0004] The statistical law model may not simply follow the distribution principle of statistical law for the meteorological conditions of the low-probability frozen rain event due to the small sample size. The numerical model method has different focuses for different cloud microphysical schemes, and some schemes usually ignore the phase evolution process of mixed-phase precipitation, the change process of raindrop temperature or the detailed melting and refreezing process of precipitation particles, resulting in large errors in forecasting frozen rain for each scheme. Machine learning model usually relies on large sample observation data, but meteorological industry lacks frozen rain observation data, especially in remote mountainous areas where there are basically no frozen rain observation sites, which leads to non-convergence or ineffective error reduction of machine learning model. SUMMARY

[0005] Therefore, it is necessary to provide a method and device for drawing a frozen rain day distribution map based on power grid ice monitoring data, an ice monitoring device and a computer readable storage medium to solve the above technical problems.

[0006] In a first aspect, the present application provides a method for drawing a frozen rain day distribution map based on power grid ice monitoring data, which comprises:

[0007] The method comprises: acquiring a plurality of groups of icing monitoring data monitored by icing monitoring points in a plurality of different geographical regions within a preset time period;

[0008] The method comprises: acquiring a plurality of groups of icing monitoring data monitored by icing monitoring points in a plurality of different geographical regions within a preset time period;

[0009] The method comprises: acquiring a plurality of groups of icing monitoring data monitored by icing monitoring points in a plurality of different geographical regions within a preset time period;

[0010] The method comprises: acquiring a plurality of groups of icing monitoring data monitored by icing monitoring points in a plurality of different geographical regions within a preset time period;

[0011] The method comprises: acquiring a plurality of groups of icing monitoring data monitored by icing monitoring points in a plurality of different geographical regions within a preset time period;

[0012] The method comprises: acquiring a plurality of groups of icing monitoring data monitored by icing monitoring points in a plurality of different geographical regions within a preset time period;

[0013] The method comprises: acquiring a plurality of groups of icing monitoring data monitored by icing monitoring points in a plurality of different geographical regions within a preset time period;

[0014] The method comprises: acquiring a plurality of groups of icing monitoring data monitored by icing monitoring points in a plurality of different geographical regions within a preset time period;

[0015] The method comprises: acquiring a plurality of groups of icing monitoring data monitored by icing monitoring points in a plurality of different geographical regions within a preset time period;

[0016] The method comprises: acquiring a plurality of groups of icing monitoring data monitored by icing monitoring points in a plurality of different geographical regions within a preset time period;

[0017] The method comprises: acquiring a plurality of groups of icing monitoring data monitored by icing monitoring points in a plurality of different geographical regions within a preset time period;

[0018] The method comprises: acquiring a plurality of groups of icing monitoring data monitored by icing monitoring points in a plurality of different geographical regions within a preset time period;

[0019] The method comprises: acquiring a plurality of groups of icing monitoring data monitored by icing monitoring points in a plurality of different geographical regions within a preset time period;

[0020] In one of the embodiments, the calculation of the icing growth rate in the current time window according to the plurality of icing thicknesses and the plurality of monitoring times in the icing data sequence, the average icing thickness and the average monitoring time comprises:

[0021] respectively obtaining the thickness difference between each icing thickness in the same icing data sequence and the average icing thickness, and the time difference between each monitoring time and the average monitoring time;

[0022] obtaining the sum of the product of each thickness difference and the corresponding time difference, and the sum of the squares of each time difference;

[0023] determining the icing growth rate in the current time window according to the ratio of the sum of the product and the sum of the squares.

[0024] In one of the embodiments, the icing monitoring data sequence comprises a plurality of groups of icing data, and the icing data comprises icing thickness, monitoring time and air temperature;

[0025] The outlier removal processing of the icing monitoring data sequence comprises:

[0026] sorting the plurality of groups of icing data based on the size relationship of the icing thickness;

[0027] determining the screening interval according to the icing thickness of the icing data in the middle of the preset position after sorting;

[0028] in the case that the icing thickness of the target data is in the screening interval, retaining the target data; the target data is the first preset number of icing data in the front of the sorting and the second preset number of icing data in the back of the sorting;

[0029] in the case that the icing thickness of the target data is out of the screening interval, removing the target data;

[0030] sorting the remaining icing data according to the chronological order of the monitoring time to obtain the icing data sequence.

[0031] In one of the embodiments, the drawing of the icing day distribution map according to the plurality of icing days and the geographical position information of the plurality of geographical regions comprises:

[0032] determining the average icing day of each geographical region according to the ratio of each icing day and the preset time period;

[0033] drawing the icing day distribution map according to the average icing day of each geographical region and the geographical position information of each geographical region.

[0034] In one of the embodiments, the drawing of the freezing rain day number distribution map according to the average freezing rain days and the geographical position information of each geographical region comprises:

[0035] The geographical position information of each geographical region is raster processed to obtain raster data, and the raster data is color rendered according to the average freezing rain days to obtain an initial distribution map.

[0036] Based on a preset resolution sliding window, the raster in the initial distribution map is regionally smoothed to obtain the freezing rain day number distribution map.

[0037] In a second aspect, the present application further provides a freezing rain day number distribution map drawing device, and the device comprises:

[0038] An icing data acquisition module is configured to acquire, for a plurality of different geographical regions, a plurality of groups of icing monitoring data monitored by an icing monitoring point of each geographical region within a preset time period;

[0039] A freezing rain day number acquisition module is configured to determine, according to the icing monitoring data of each geographical region, a freezing rain day number of each geographical region within the preset time period;

[0040] A distribution map drawing module is configured to draw a freezing rain day number distribution map according to the freezing rain day number and the geographical position information of each geographical region.

[0041] In a third aspect, the present application further provides an icing monitoring device comprising a memory and a processor, wherein the memory stores a computer program, and the processor implements the freezing rain day number distribution map drawing method provided in any of the above embodiments when executing the computer program.

[0042] In a fourth aspect, the present application further provides a computer readable storage medium having a computer program stored thereon, and the computer program is executed by a processor to implement the freezing rain day number distribution map drawing method provided in any of the above embodiments.

[0043] In the method and device for drawing a distribution map of freezing rain days based on power grid icing monitoring data, the icing monitoring data monitored by the icing monitoring points in each geographical region in a preset time period is obtained for a plurality of different geographical regions, and the freezing rain days of each geographical region in the preset time period are determined according to the icing monitoring data of each geographical region. Since icing monitoring devices are basically arranged on each power transmission line, the freezing rain of each geographical region is inversed based on the power grid icing monitoring data, a large amount of freezing rain observation data can be provided, the problem that the meteorological industry lacks freezing rain sensing data is solved, and the processing operation process is simple compared with machine learning and the like. Further, the distribution map of freezing rain days is drawn according to the freezing rain days and the geographical position information of each geographical region, the freezing rain frequency of each region can be directly observed, and the deicing device can be reasonably arranged according to the freezing rain frequency of each region to avoid the occurrence of power transmission line tripping, wire breaking and the like caused by freezing rain. BRIEF DESCRIPTION OF DRAWINGS

[0044] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the related art, the drawings needed to be used in the description of the embodiments of the present application or the related art will be briefly introduced. Obviously, the drawings in the following description are only some embodiments of the present application, and other related drawings can be obtained by those skilled in the art without creative labor.

[0045] Figure 1 A flowchart of a method for drawing a distribution map of freezing rain days in an embodiment;

[0046] Figure 2 A flowchart of determining the freezing rain days of each geographical region in a preset time period according to the icing monitoring data of each geographical region in an embodiment;

[0047] Figure 3 A flowchart of removing outliers from the icing monitoring data sequence to obtain an icing data sequence in an embodiment;

[0048] Figure 4 A flowchart of drawing a distribution map of freezing rain days according to the freezing rain days and the geographical position information of each geographical region in an embodiment;

[0049] Figure 5 A block diagram of a device for drawing a distribution map of freezing rain days in an embodiment;

[0050] Figure 6 An internal structure diagram of an icing monitoring device in an embodiment. DETAILED DESCRIPTION

[0051] In order to make the purposes, technical solutions and advantages of the present application clearer, the present application will be further described in detail below with reference to the drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and not intended to limit the present application.

[0052] In one embodiment, the present application provides a method for drawing a distribution map of freezing rain days based on power grid icing monitoring data, which can be applied to a power equipment. The power equipment can be an industrial computer, an icing monitoring device, etc. As shown in Figure 1 The method for drawing a distribution map of freezing rain days based on power grid icing monitoring data includes steps 102-106.

[0053] In step 102, for a plurality of different geographical areas, a plurality of groups of icing monitoring data monitored by icing monitoring points in each geographical area within a preset time period are acquired respectively.

[0054] Exemplarily, the geographical areas can be counties, towns, etc. The preset time period can be several months or several years, etc. The icing monitoring points are monitoring sites for monitoring the ice accumulation on the power lines in the geographical areas, and the icing monitoring data can include the ice thickness on the power lines, the monitoring time, the air temperature, etc.

[0055] In step 104, the freezing rain days of each geographical area within the preset time period are determined according to the icing monitoring data of each geographical area respectively.

[0056] The weather conditions of each geographical area can be inversed according to the icing monitoring data of each geographical area, and then the freezing rain days of each geographical area within the preset time period are counted.

[0057] In step 106, a distribution map of freezing rain days is drawn according to the freezing rain days and the geographical position information of each geographical area.

[0058] The distribution map of freezing rain days can be drawn according to the geographical position information and the freezing rain days of each geographical area in combination with a map. Different colors in the distribution map of freezing rain days can represent different degrees of freezing rain days.

[0059] In the embodiment of the present application, for a plurality of different geographical areas, a plurality of groups of icing monitoring data monitored by the icing monitoring points in the geographical areas within a preset time period are respectively acquired, and the number of freezing rain days in the preset time period of each geographical area is determined according to the icing monitoring data of each geographical area. Since icing monitoring devices are basically provided on each power transmission line, the freezing rain of each geographical area can be inversed based on the power grid icing monitoring data to provide a large amount of freezing rain observation data, solve the problem of lack of freezing rain sensing data in the meteorological industry, and the processing operation process is simple compared with machine learning and the like. Further, according to the number of freezing rain days and the geographical position information of each geographical area, a freezing rain day distribution map is drawn, and the freezing rain frequency of each area can be directly observed to reasonably set the deicing device according to the freezing rain frequency of each area to avoid the occurrence of power transmission line tripping, wire breaking and the like caused by freezing rain.

[0060] In one embodiment, as shown in Figure 2 , the number of freezing rain days in the preset time period of each geographical area is determined according to the icing monitoring data of each geographical area, including steps 202-208.

[0061] Step 202, based on a preset time window, a plurality of groups of icing monitoring data monitored by the same icing monitoring point are divided into a plurality of icing monitoring data sequences.

[0062] The preset time window is less than or equal to one day. Illustratively, the preset time window can be 1 hour. Taking 1 hour as an example, the icing monitoring data detected by the same icing monitoring point is shown in Table 1:

[0063] Table 1-icing monitoring data monitored by one icing monitoring point within 1 hour

[0064]

[0065] The plurality of groups of icing monitoring data within one preset time window are arranged in the order of monitoring time to obtain the icing monitoring data sequence, which can be represented as , N represents the position index.

[0066] Step 204, the abnormal value removal processing is performed on the icing monitoring data sequence to obtain the icing data sequence.

[0067] The icing monitoring data with abnormal icing thickness in the icing monitoring data sequence can be removed to obtain the icing data sequence , M is less than or equal to N.

[0068] Step 206, according to each icing data sequence, the weather condition of each geographical area in the current time window is determined.

[0069] The weather condition includes freezing rain weather and non-freezing rain weather.

[0070] You can first calculate the ice cover data series The average ice thickness of multiple sets of ice data , monitoring time average and average temperature According to the multiple ice thicknesses in the ice data series and multiple monitoring times , average ice thickness and monitoring time average , calculate the ice cover growth rate in the current time window For example, based on formula (1), the ice thickness of each ice cover in the same ice cover data sequence can be obtained respectively. Average ice thickness Thickness difference , and each monitoring time Average value of monitoring time Time difference , obtain the sum of the products of each thickness difference and the corresponding time difference , and the sum of squares of the time differences , according to the ratio of the sum of products to the sum of squares, determine the ice cover growth rate in the current time window .

[0071]

[0072] The ice cover growth rate Greater than the preset growth value, and the average temperature In the case of a preset temperature range, it is determined that the geographical area has freezing rain weather in the current time window. In other cases, it is determined that the geographical area has non-freezing rain weather in the current time window.

[0073] For example, the preset growth value may be 1, and the preset temperature range may be [-2, 0) degrees Celsius.

[0074] Step 208: When the geographical area has freezing rain weather within a certain time window in a day, the number of freezing rain days in the geographical area is increased by 1.

[0075] In some embodiments, there may be multiple ice monitoring points in some geographical areas. If the geographical area is determined to have freezing rain weather within a certain time window based on the ice monitoring data monitored by a certain ice monitoring point within one day, the number of freezing rain days in the geographical area is increased by 1.

[0076] In this embodiment, the weather conditions of the geographical area are inverted by ice thickness, monitoring time and temperature to determine whether it is freezing rain weather, and the calculation is simple.

[0077] In one embodiment, as shown in Figure 3 The abnormal value removal processing is performed on the icing monitoring data sequence to obtain an icing data sequence, including steps 302-310.

[0078] In step 302, the multiple groups of icing data are sorted based on the size relationship of the icing thickness.

[0079] For example, the multiple groups of icing data can be sorted in the order of the icing thickness from small to large, to obtain , where the icing thickness of each group of icing data has a relationship of .

[0080] In step 304, the screening interval is determined according to the icing thickness of the icing data at the middle preset position after sorting.

[0081] For example, assuming that the icing monitoring data sequence includes 7 groups of icing data, the screening interval can be determined as based on the values of .

[0082] In step 306, the target data is retained in the case where the icing thickness of the target data is in the screening interval.

[0083] The target data is the first preset number of icing data at the front of the sorting and the second preset number of icing data at the back of the sorting. For example, the first preset number can be two, and the second preset number can be two.

[0084] In step 308, the target data is removed in the case where the icing thickness of the target data is out of the screening interval.

[0085] In step 310, the remaining icing data is sorted in the order of the monitoring time to obtain the icing data sequence.

[0086] In this embodiment, by removing the data with abnormal icing thickness, the accuracy of the icing growth rate obtained according to the icing monitoring data sequence can be improved.

[0087] In one embodiment, as shown in Figure 4 , the freezing rain day distribution map is drawn according to the freezing rain days and the geographic location information of each geographic region, including steps 402-404.

[0088] In step 402, the average freezing rain days of each geographic region are determined according to the ratio of the freezing rain days to the preset time period.

[0089] In step 404, the freezing rain day distribution map is drawn according to the average freezing rain days and the geographic location information of each geographic region.​

[0090] Specifically, the geographical position information of each geographical region can be rasterized to obtain raster data by using a geographical information processing tool, and the raster data can be color rendered according to the average number of freezing rain days to obtain an initial distribution map. For example, the size of the raster data can be 90m*90m. During the rasterization, the NODATA data can be assigned as 0. Then, the raster in the initial distribution map can be regionally smoothed based on a preset resolution sliding window to obtain the freezing rain day distribution map. For example, the preset resolution can be 0.3°*0.3°.

[0091] It should be understood that, although each step in the flowchart involved in each of the above embodiments is displayed in sequence according to the illustration, these steps are not necessarily executed in sequence according to the illustration. Unless explicitly stated herein, the execution of these steps is not strictly limited in sequence, and these steps can be executed in other orders. Moreover, at least part of the steps in the flowchart involved in each of the above embodiments can include multiple steps or stages, which are not necessarily executed at the same time, but can be executed at different times, and the execution sequence of these steps or stages is not necessarily sequential, but can be executed in rotation or alternation with at least part of other steps or stages in other steps.

[0092] Based on the same inventive concept, the present embodiment also provides a freezing rain day distribution map drawing device for implementing the above-mentioned freezing rain day distribution map drawing method. The problem-solving implementation scheme provided by the device is similar to the implementation scheme described in the above method, so the specific limitations in one or more freezing rain day distribution map drawing device embodiments provided below can refer to the limitations of the freezing rain day distribution map drawing method in the above text, which will not be repeated here.

[0093] In one exemplary embodiment, as shown in Figure 5 a freezing rain day distribution map drawing device is provided, comprising: an icing data acquisition module 502, a freezing rain day acquisition module 504, and a distribution map drawing module 506, wherein:

[0094] The icing data acquisition module 502 is configured to acquire, for a plurality of different geographical regions, a plurality of sets of icing monitoring data monitored by icing monitoring points of each geographical region within a preset time period, respectively;

[0095] The freezing rain day acquisition module 504 is configured to determine, according to the icing monitoring data of each geographical region, the number of freezing rain days of each geographical region within the preset time period, respectively;

[0096] The distribution map drawing module 506 is configured to draw a distribution map of the freezing rain days according to the freezing rain days and geographical position information of the geographical regions.

[0097] In one embodiment, the freezing rain day obtaining module is further configured to: divide a plurality of groups of icing monitoring data monitored by the same icing monitoring point into a plurality of icing monitoring data sequences based on a preset time window, the preset time window being less than or equal to one day; perform outlier removal processing on the icing monitoring data sequences to obtain icing data sequences; determine weather conditions of the geographical regions in the current time window according to the icing data sequences; and in a case where the geographical region is in freezing rain weather in a certain time window within one day, increase the freezing rain days of the geographical region by 1.

[0098] In one embodiment, the freezing rain day obtaining module is further configured to: calculate an average value of icing thickness, an average value of monitoring time, and an average value of air temperature of the plurality of groups of icing data in the icing data sequence; calculate an icing growth rate in the current time window according to the plurality of icing thicknesses and the plurality of monitoring times in the icing data sequence, the average value of icing thickness, and the average value of monitoring time; and determine that the geographical region is in freezing rain weather in the current time window in a case where the icing growth rate is greater than a preset growth value and the average value of air temperature is in a preset air temperature range.

[0099] In one embodiment, the freezing rain day obtaining module is further configured to: respectively obtain a thickness difference value of each icing thickness and the average value of icing thickness, and a time difference value of each monitoring time and the average value of monitoring time in the same icing data sequence; obtain a sum of products of the thickness difference values and corresponding time difference values, and a square sum of the time difference values; and determine the icing growth rate in the current time window according to a ratio of the sum of products to the square sum.

[0100] In one embodiment, the freezing rain day obtaining module is further configured to: perform sorting processing on the plurality of groups of icing data based on a size relationship of the icing thicknesses; determine a screening interval according to the icing thickness of the icing data in a middle preset position after sorting; retain the target data in a case where the icing thickness of the target data is in the screening interval; the target data being the first preset number of icing data at the front of the sorting and the second preset number of icing data at the back of the sorting; remove the target data in a case where the icing thickness of the target data is out of the screening interval; and perform sorting processing on the remaining icing data according to the monitoring time in chronological order to obtain the icing data sequence.

[0101] In one embodiment, the distribution map drawing module is further configured to: determine average freezing rain days of the geographical regions according to the freezing rain days and a preset time period; and draw a distribution map of the freezing rain days according to the average freezing rain days and the geographical position information of the geographical regions.

[0102] In one embodiment, the distribution map drawing module is also used to: perform raster processing on the geographical location information of each geographical area to obtain raster data, and color render the raster data according to the average number of freezing rain days to obtain an initial distribution map; based on a sliding pane with a preset resolution, perform regional smoothing on the grid in the initial distribution map to obtain a freezing rain day distribution map.

[0103] Each module in the freezing rain day distribution map generating apparatus can be implemented in whole or in part through software, hardware, or a combination thereof. Each module can be embedded in or independent of the processor of the icing monitoring device in hardware form, or can be stored in the memory of the icing monitoring device in software form, so that the processor can call and execute the corresponding operations of each module.

[0104] In an exemplary embodiment, an ice covering monitoring device is provided. The ice covering monitoring device may be a terminal, and its internal structure diagram may be as shown in FIG. Figure 6 As shown. The icing monitoring device includes a processor, memory, an input / output interface, a communication interface, a display unit, and an input device. The processor, memory, and input / output interface are connected via a system bus, and the communication interface, display unit, and input device are connected to the system bus via the input / output interface. The processor of the icing monitoring device is used to provide computing and control capabilities. The memory of the icing monitoring device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and computer programs. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage medium. The input / output interface of the icing monitoring device is used to exchange information between the processor and external devices. The communication interface of the icing monitoring device is used to communicate with external terminals via wired or wireless means. The wireless means can be implemented via Wi-Fi, mobile cellular networks, near field communication (NFC), or other technologies. When executed by the processor, the computer program implements a method for drawing a freezing rain day distribution map. The display unit of the icing monitoring device is used to form a visually visible image and can be a display screen, a projection device, or a virtual reality imaging device. The display screen can be a liquid crystal display screen or an electronic ink display screen, and the input device of the ice monitoring device can be a touch layer covering the display screen, or a button, trackball or touchpad set on the outer shell of the ice monitoring device, or an external keyboard, touchpad or mouse.

[0105] Those skilled in the art will understand that Figure 6 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the ice monitoring equipment to which the solution of the present application is applied. The specific ice monitoring equipment may include more or fewer components than shown in the figure, or combine certain components, or have a different component arrangement.

[0106] In an exemplary embodiment, there is provided an icing monitoring device comprising a memory and a processor, the memory having stored therein a computer program, the processor implementing the method for drawing a distribution map of freezing rain days according to any one of the above embodiments when executing the computer program.

[0107] In an embodiment, there is provided a computer readable storage medium having stored thereon a computer program, the computer program, when executed by a processor, implementing the method for drawing a distribution map of freezing rain days according to any one of the above embodiments.

[0108] In an embodiment, there is provided a computer program product comprising a computer program, the computer program, when executed by a processor, implementing the method for drawing a distribution map of freezing rain days according to any one of the above embodiments.

[0109] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a non-volatile computer readable storage medium, and when executed, can include the processes of the above-mentioned embodiment methods. Any reference to memory, database or other medium used in the embodiments provided in the present application can include at least one of non-volatile memory and volatile memory. The non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical storage, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. The volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration but not limitation, the RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM), etc. The database involved in the embodiments provided in the present application can include at least one of a relational database and a non-relational database. The non-relational database can include a distributed database based on a block chain, etc., without being limited thereto. The processor involved in the embodiments provided in the present application can be a general-purpose processor, a central processing unit, a graphics processing unit, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, an artificial intelligence (AI) processor, etc., without being limited thereto.

[0110] The technical features of the above embodiments can be combined in any manner. To make the description concise, all possible combinations of the technical features in the above embodiments are not described, but as long as the combinations of the technical features do not exist, they should be considered as the scope of the present application.

[0111] The above-described embodiments merely represent several implementation methods of the present application. While the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the present application. It should be noted that a person of ordinary skill in the art may make various modifications and improvements without departing from the spirit of the present application, and these modifications and improvements fall within the scope of protection of the present application. Therefore, the scope of protection of the present application shall be determined by the appended claims.

Claims

1. A method for drawing a freezing rain day distribution map based on power grid icing monitoring data, characterized in that: The method comprises: For a plurality of different geographical areas, a plurality of groups of ice coverage monitoring data monitored by ice coverage monitoring points in each geographical area within a preset time period are obtained respectively; Determining the number of freezing rain days in each geographical area within the preset time period based on the ice cover monitoring data of each geographical area; A distribution map of the number of freezing rain days is drawn based on the number of freezing rain days and the geographical location information of each geographical area.

2. The method according to claim 1, characterized in that Determining the number of freezing rain days in each geographical area within the preset time period based on the ice coverage monitoring data of each geographical area includes: Based on a preset time window, the multiple groups of ice coverage monitoring data monitored at the same ice coverage monitoring point are divided into multiple ice coverage monitoring data sequences; the preset time window is less than or equal to one day; performing outlier removal processing on the ice cover monitoring data sequence to obtain an ice cover data sequence; determining the weather conditions of each of the geographical areas in a current time window based on each of the ice cover data sequences; In the case that the geographical area experiences freezing rain weather within a certain time window in one day, the number of freezing rain days in the geographical area is increased by 1.

3. The method according to claim 2, characterized in that The ice cover data sequence includes multiple sets of ice cover data, and the ice cover data includes ice cover thickness, monitoring time and temperature; Determining the weather conditions of each of the geographical areas in the current time window according to each of the ice cover data sequences includes: Calculating the average ice thickness, the average monitoring time and the average temperature of multiple groups of ice data in the ice data sequence; Calculating an ice growth rate in a current time window according to a plurality of ice thicknesses and a plurality of monitoring times in the ice data sequence, an average ice thickness, and an average monitoring time; When the ice coverage growth rate is greater than a preset growth value and the average temperature is within a preset temperature range, it is determined that the geographical area is experiencing freezing rain weather within the current time window.

4. The method according to claim 3, characterized in that Calculating the ice growth rate in the current time window based on the multiple ice thicknesses and multiple monitoring times in the ice data sequence, the average ice thickness, and the average monitoring time includes: Obtaining the thickness difference between each ice thickness and the average ice thickness in the same ice data sequence, and the time difference between each monitoring time and the average monitoring time; Obtaining the sum of the products of each thickness difference and the corresponding time difference, and the sum of the squares of each time difference; An ice coverage growth rate in a current time window is determined according to a ratio of the sum of the products to the sum of the squares.

5. The method according to claim 2, characterized in that The ice cover monitoring data sequence includes multiple sets of ice cover data, and the ice cover data includes ice cover thickness, monitoring time and temperature; The performing outlier removal processing on the ice cover monitoring data sequence to obtain the ice cover data sequence includes: Sorting the plurality of groups of ice cover data based on the size relationship of the ice cover thickness; Determine the screening interval according to the ice thickness of the ice data at the middle preset position after sorting; When the ice thickness of the target data is within the screening interval, retaining the target data; the target data is a first preset number of ice thickness data ranked higher and a second preset number of ice thickness data ranked lower; If the ice thickness of the target data exceeds the screening interval, removing the target data; The remaining ice cover data are sorted in the order of monitoring time to obtain the ice cover data sequence.

6. The method according to any one of claims 1 to 5, characterized in that Drawing a freezing rain day distribution map based on the number of freezing rain days and the geographical location information of each geographical area includes: determining an average number of freezing rain days in each of the geographical areas according to a ratio of each of the freezing rain days to the preset time period; A distribution map of the number of freezing rain days is drawn based on the average number of freezing rain days and the geographical location information of each geographical area.

7. The method according to claim 6, characterized in that Drawing a freezing rain days distribution map based on the average number of freezing rain days and the geographical location information of each geographical area includes: Performing raster processing on the geographical location information of each of the geographical areas to obtain raster data, and performing color rendering on the raster data according to the average number of freezing rain days to obtain an initial distribution map; Based on a sliding pane of a preset resolution, regional smoothing processing is performed on the grids in the initial distribution map to obtain the freezing rain day distribution map.

8. A device for drawing a freezing rain day distribution map, characterized in that: The device comprises: An ice cover data acquisition module is used to acquire, for a plurality of different geographical areas, a plurality of sets of ice cover monitoring data monitored by ice cover monitoring points in each geographical area within a preset time period; a freezing rain days acquisition module, configured to determine the number of freezing rain days in each geographical area within the preset time period based on the ice cover monitoring data of each geographical area; The distribution map drawing module is used to draw a distribution map of the number of freezing rain days according to the number of freezing rain days and the geographical location information of each geographical area.

9. An ice monitoring device, comprising a memory and a processor, wherein the memory stores a computer program, characterized in that: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 6 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

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