Icing trigger condition identification method, device and equipment and readable storage medium

Abstract

The invention relates to an icing trigger condition identification method, device and equipment and a readable storage medium, and the method comprises the steps: obtaining the environment data of each position of a contact network, combining with the icing thickness of each position of the contact network in a historical time period, and based on the three-dimensional feature data and underlying surface feature data of each position of the contact network; and carrying out classified statistics on the meteorological data in the historical time period to obtain a general icing trigger condition. Furthermore, the surrounding area of the overhead line system is divided into a plurality of grids with preset sizes, and the terrain of each grid is identified. And based on the meteorological data of the grid corresponding to each terrain in the historical time period, and in combination with the icing thickness of the grid corresponding to each terrain in the historical time period and the general icing trigger condition, determining the icing feature and icing trigger condition of each terrain. Compared with the prior art, the embodiment of the invention can accurately identify the icing triggering condition of the contact network, better predict the icing condition of the contact network, and guarantee the railway traffic safety.

Description

Technical Field

[0001] The present disclosure relates to the technical field of ice cover monitoring, and in particular to an ice cover trigger condition identification method, device, equipment and readable storage medium. Background Art

[0002] As an important part of railway electrification, the normal operation of the railway contact network is crucial to the stable power supply of trains. The railway contact network is responsible for the important task of directly transmitting the electric energy obtained from the traction substation to the electric locomotive for use. Therefore, the quality and working condition of the contact network will directly affect the transportation capacity of the railway.

[0003] Railway contact network icing is a common natural disaster on electrified railways, which often occurs in early winter and early spring. In low-temperature rainy and snowy weather, the contact network is prone to ice, which not only affects the power supply efficiency, but also may cause train accidents, such as railway train delays, suspension of operation, and even traffic paralysis and traffic safety in serious cases.

[0004] Therefore, timely and accurate identification of the triggering conditions of overhead line icing is of great significance for ensuring railway traffic safety. However, the existing technical solutions can only monitor the icing conditions of the overhead line, but cannot identify the triggering conditions of icing. Summary of the invention

[0005] In order to solve the above technical problems or at least partially solve the above technical problems, the present disclosure provides a method, device, equipment and readable storage medium for identifying ice trigger conditions, so as to timely and accurately identify the trigger conditions of contact network icing, and then predict the contact network icing situation to ensure railway traffic safety.

[0006] In a first aspect, an embodiment of the present disclosure provides a method for identifying an ice-covering trigger condition, the method comprising:

[0007] Obtaining environmental data at each location of the overhead line, the environmental data including three-dimensional feature data, underlying surface feature data, and meteorological data within a historical time period;

[0008] Combined with the ice thickness at each location of the overhead contact network in the historical time period, based on the three-dimensional feature data at each location of the overhead contact network, the underlying surface feature data, and the meteorological data in the historical time period, classification and statistics are performed to obtain the general triggering condition of ice coverage of the overhead contact network;

[0009] Divide the surrounding area of ​​the overhead line into multiple grids of preset sizes and identify the terrain of each grid;

[0010] Based on the meteorological data of the grid corresponding to each terrain in the historical time period, combined with the ice thickness of the grid corresponding to each terrain in the historical time period and the general ice triggering condition, the ice characteristics and ice triggering conditions of each terrain are determined.

[0011] In some embodiments, the obtaining of environmental data of each location of the contact network includes:

[0012] Acquire elevation data of the area where the contact network is located, and acquire three-dimensional feature data of each position of the contact network from the elevation data based on the position distribution data of the contact network;

[0013] Satellite inversion processing is performed based on the image data of the area where the contact network is located taken by satellite to obtain the underlying surface feature data of each location of the contact network;

[0014] Obtain meteorological data for each location of the overhead line over a historical period of time.

[0015] In some embodiments, identifying the terrain of each grid includes:

[0016] The terrain of each grid is identified based on the three-dimensional feature data of each grid and the underlying surface feature data, and the terrain corresponding to each grid is determined from the preset terrain.

[0017] In some embodiments, after determining the ice cover characteristics and ice cover triggering conditions of each terrain based on the meteorological data of the grid corresponding to each terrain in the historical time period and combining the ice cover thickness of the grid corresponding to each terrain in the historical time period, the method further includes:

[0018] Acquire ice coverage monitoring data collected in real time by sensors at various locations of the contact network, and extract ice coverage characteristic parameters at various locations of the contact network from the ice coverage monitoring data and the environmental data;

[0019] Based on the ice coating characteristic parameters at each position of the contact network, ice coating prediction is performed using a target ice coating trigger condition model corresponding to the terrain at each position of the contact network to obtain the predicted ice coating thickness at each position of the contact network.

[0020] In some embodiments, the icing characteristic parameters at each position of the contact network are used to predict icing using a target icing trigger condition model corresponding to the terrain at each position of the contact network to obtain the predicted icing thickness at each position of the contact network, including:

[0021] Based on the terrain at each location of the overhead line, selecting a target icing trigger condition model corresponding to the terrain at each location;

[0022] The ice coating characteristic parameters of each position of the contact network are input into a target ice coating trigger condition model corresponding to the terrain of each position, and the predicted ice coating thickness of each position of the contact network is predicted by the target ice coating trigger condition model.

[0023] In some embodiments, the ice cover characteristic parameters include micro-topographic characteristic parameters and meteorological characteristic parameters;

[0024] Among them, the micro-topography characteristic parameters include at least terrain height parameters, terrain type, terrain direction parameters, and underlying surface characteristic data; the meteorological characteristic parameters include at least wind speed parameters, temperature parameters, precipitation parameters, relative humidity parameters, and air pressure parameters.

[0025] In some embodiments, after performing ice prediction based on ice characteristic parameters at each position of the contact network and using a target ice trigger condition model corresponding to the terrain at each position of the contact network to obtain the predicted ice thickness at each position of the contact network, the method further includes:

[0026] For any location of the overhead line, if the predicted ice thickness at the target location is greater than the preset threshold, the warning information of the target location will be issued;

[0027] The icing meteorological conditions of the terrain corresponding to the target location are determined based on the preset threshold, and the current meteorological characteristic parameters of the target location are compared with the icing meteorological conditions of the terrain corresponding to the target location. If the current meteorological characteristic parameters of the target location match the icing meteorological conditions of the terrain corresponding to the target location, it is determined that the warning information of the target location is accurate, and the relevant departments are notified to take countermeasures.

[0028] In a second aspect, an embodiment of the present disclosure provides an ice-covering trigger condition identification device, the device comprising:

[0029] An acquisition module is used to acquire environmental data at each location of the overhead line, wherein the environmental data includes three-dimensional feature data, underlying surface feature data, and meteorological data within a historical time period;

[0030] A module is used to obtain the general triggering condition of icing of the contact network by combining the ice thickness of each position of the contact network in the historical time period, classifying and counting the three-dimensional feature data of each position of the contact network, the feature data of the underlying surface, and the meteorological data in the historical time period;

[0031] A division module, used for dividing the surrounding area of ​​the contact network into a plurality of grids of preset sizes and identifying the terrain of each grid;

[0032] The determination module is used to determine the ice cover characteristics and ice cover triggering conditions of each terrain based on the meteorological data of the grid corresponding to each terrain in the historical time period, combined with the ice cover thickness of the grid corresponding to each terrain in the historical time period and the general ice cover triggering conditions.

[0033] In a third aspect, an embodiment of the present disclosure provides an electronic device, including:

[0034] Memory;

[0035] Processor; and

[0036] Computer programs;

[0037] The computer program is stored in the memory and is configured to be executed by the processor to implement the method as described in the first aspect.

[0038] In a fourth aspect, an embodiment of the present disclosure provides a computer-readable storage medium having a computer program stored thereon, wherein the computer program is executed by a processor to implement the method as described in the first aspect.

[0039] In a fifth aspect, an embodiment of the present disclosure further provides a computer program product, which includes a computer program or instructions, and when the computer program or instructions are executed by a processor, the method described in the first aspect is implemented.

[0040] The ice-covering trigger condition identification method, device, equipment and readable storage medium provided by the embodiments of the present disclosure obtain environmental data of each position of the contact network, wherein the environmental data includes three-dimensional feature data, underlying surface feature data, and meteorological data in a historical time period, and combines the ice-covering thickness of each position of the contact network in a historical time period, and classifies and counts the three-dimensional feature data, underlying surface feature data, and meteorological data in a historical time period at each position of the contact network, so as to obtain a general ice-covering trigger condition of the contact network. Further, the surrounding area of ​​the contact network is divided into multiple grids of a preset size, and the terrain of each grid is identified. Then, based on the meteorological data of the grid corresponding to each terrain in a historical time period, combined with the ice-covering thickness of the grid corresponding to each terrain in a historical time period and the general ice-covering trigger condition, the ice-covering characteristics and ice-covering trigger conditions of each terrain are determined. Compared with the prior art which only monitors ice but cannot identify the ice triggering conditions, the disclosed embodiment obtains more accurate ice triggering conditions through terrain data, underlying surface data and meteorological data, thereby improving the accuracy of ice judgment. It can timely and accurately identify the triggering conditions of contact network ice, and thus better predict the contact network ice situation, which is of great significance for ensuring railway traffic safety. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and, together with the description, serve to explain the principles of the present disclosure.

[0042] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0043] Figure 1 A flow chart of an ice-trigger condition identification method provided in an embodiment of the present disclosure;

[0044] Figure 2 A flow chart of an ice trigger condition identification method provided by another embodiment of the present disclosure;

[0045] Figure 3 A flow chart of an ice trigger condition identification method provided by another embodiment of the present disclosure;

[0046] Figure 4 A schematic diagram of dividing the surrounding area of ​​the overhead contact network into multiple grids according to an embodiment of the present disclosure;

[0047] Figure 5 An ice cover identification and warning flow chart provided in an embodiment of the present disclosure;

[0048] Figure 6 A schematic diagram of the structure of an ice-covering trigger condition identification device provided in an embodiment of the present disclosure;

[0049] Figure 7 A schematic diagram of the structure of an electronic device provided in an embodiment of the present disclosure. DETAILED DESCRIPTION

[0050] In order to more clearly understand the above-mentioned objectives, features and advantages of the present disclosure, the scheme of the present disclosure will be further described below. It should be noted that the embodiments of the present disclosure and the features in the embodiments can be combined with each other without conflict.

[0051] In the following description, many specific details are set forth to facilitate a full understanding of the present disclosure, but the present disclosure may also be implemented in other ways different from the description; it is obvious that the embodiments in the specification are only part of the embodiments of the present disclosure, rather than all of the embodiments.

[0052] As an important part of railway electrification, the normal operation of the railway contact network is crucial to the stable power supply of trains. The railway contact network is responsible for the important task of directly transmitting the electric energy obtained from the traction substation to the electric locomotive for use. Therefore, the quality and working condition of the contact network will directly affect the transportation capacity of the railway.

[0053] Railway contact network icing is a common natural disaster on electrified railways, which often occurs in early winter and early spring. In low-temperature rainy and snowy weather, the contact network is prone to ice, which not only affects the power supply efficiency, but also may cause train accidents, such as railway train delays, suspension of operation, and even traffic paralysis and traffic safety in serious cases.

[0054] Therefore, timely and accurate identification of the triggering conditions of overhead line icing is of great significance for ensuring railway traffic safety. However, the existing technical solutions can only monitor the icing conditions of the overhead line, but cannot identify the icing triggering conditions. To address this problem, the embodiments of the present disclosure provide a method for identifying icing triggering conditions, which is introduced below in conjunction with specific embodiments.

[0055] Figure 1 A flow chart of the method for identifying ice-covered trigger conditions provided in the embodiment of the present disclosure. The method can be applied to electronic devices, which may be portable mobile devices such as smart phones, tablet computers, laptop computers, vehicle-mounted navigation devices, and smart sports equipment; they may also be fixed devices such as personal computers, smart home appliances, and servers, wherein the server may be a single server or a server cluster, and the server cluster may be a distributed cluster or a centralized cluster. The method can be applied to scenarios for identifying contact network ice-covered trigger conditions, and can timely and accurately identify contact network ice-covered trigger conditions, and then predict contact network ice-covered conditions to ensure railway traffic safety. It is understandable that the method for identifying ice-covered trigger conditions provided in the embodiment of the present disclosure may also be applied in other scenarios.

[0056] Below Figure 1 The method for identifying ice trigger conditions is described below. The method includes the following specific steps:

[0057] S101. Acquire environmental data of each location of the overhead line, wherein the environmental data includes three-dimensional feature data, underlying surface feature data, and meteorological data in a historical time period.

[0058] In this step, the electronic device obtains environmental data of each location of the contact network, and the environmental data includes three-dimensional feature data, underlying surface feature data, and meteorological data in the historical time period. Among them, the three-dimensional feature data includes longitude, latitude, and altitude; the underlying surface feature data is used to characterize vegetation information, including grassland, water, shrubs, pine, mountain forest, Gobi, etc.; meteorological data includes wind speed, temperature, precipitation, relative humidity, air pressure and other meteorological data.

[0059] S102. Combining the ice thickness at each location of the contact network in a historical time period, classifying and counting the three-dimensional feature data at each location of the contact network, the underlying surface feature data, and the meteorological data in the historical time period, to obtain a general trigger condition for icing of the contact network.

[0060] After obtaining the environmental data of each position of the contact network, the electronic device can combine the ice thickness of each position of the contact network in the historical time period, and classify and count the three-dimensional feature data of each position of the contact network, the underlying surface feature data, and the meteorological data in the historical time period to obtain the general trigger condition for ice coverage of the contact network. The general trigger condition for ice coverage means that under this condition, the probability of ice coverage is extremely high, greater than ninety percent. Specifically, the electronic device can perform feature induction based on the three-dimensional feature data of each position of the contact network, the underlying surface feature data, and the meteorological data in the historical time period to obtain the general trigger condition for ice coverage of the contact network. Optionally, the general trigger condition for ice coverage can be conditions such as the temperature is within a certain range, the relative humidity is within a certain range, etc.

[0061] S103: Divide the surrounding area of ​​the contact network into a plurality of grids of preset sizes, and identify the terrain of each grid.

[0062] In this step, if Figure 4 As shown in (a), the dotted line in (a) represents the overhead contact network. The electronic device can divide the surrounding area of ​​the overhead contact network into multiple grids of preset sizes and identify the terrain of each grid. Figure 4 (b) shows a variety of terrains. Optionally, the terrain may include but is not limited to a climbing shape, a river valley shape, a gully shape, a flat land, etc. For example, an area within a range of N kilometers near a railway contact network is divided into multiple grids.

[0063] In some embodiments, identifying the terrain of each grid includes: identifying the terrain of each grid based on three-dimensional feature data of each grid and underlying surface feature data, and determining the terrain corresponding to each grid from preset terrains.

[0064] In this embodiment, the electronic device identifies the terrain of each grid according to the three-dimensional feature data of each grid and the underlying surface feature data, and determines the terrain corresponding to each grid from the preset terrain. For example, the terrain recognition algorithm can be used for recognition, or the terrain recognition model can be used for recognition, which is not specifically limited here.

[0065] S104, based on the meteorological data of the grid corresponding to each terrain in the historical time period, combined with the ice thickness of the grid corresponding to each terrain in the historical time period and the general ice triggering condition, determine the ice characteristics and ice triggering conditions of each terrain.

[0066] After identifying the terrain of each grid, the electronic device can determine the ice cover characteristics and ice cover triggering conditions of each terrain according to the meteorological data of the grid corresponding to each terrain in the historical time period, combined with the ice cover thickness of the grid corresponding to each terrain in the historical time period and the general ice cover triggering conditions. Specifically, the electronic device can perform feature extraction based on the meteorological data of the grid corresponding to each terrain in the historical time period, combined with the ice cover thickness of the grid corresponding to each terrain in the historical time period and the general ice cover triggering conditions, and extract the ice cover characteristics and ice cover triggering conditions of each terrain.

[0067] The embodiment of the present disclosure obtains environmental data of each position of the contact network, the environmental data includes three-dimensional feature data, underlying surface feature data, and meteorological data in the historical time period, and combines the ice thickness of each position of the contact network in the historical time period, and classifies and counts the three-dimensional feature data, underlying surface feature data, and meteorological data of each position of the contact network in the historical time period to obtain the general triggering condition of ice covering the contact network. Further, the surrounding area of ​​the contact network is divided into multiple grids of preset size, and the terrain of each grid is identified. Then, based on the meteorological data of the grid corresponding to each terrain in the historical time period, combined with the ice thickness of the grid corresponding to each terrain in the historical time period and the general triggering condition of ice covering, the ice covering characteristics and ice covering triggering conditions of each terrain are determined. Compared with the solution in the prior art that only performs ice covering monitoring and cannot identify the triggering condition of ice covering, the embodiment of the present disclosure obtains more accurate ice covering triggering conditions through terrain data, underlying surface data, and meteorological data, improves the accuracy of ice covering judgment, can timely and accurately identify the triggering conditions of contact network ice covering, and thus better predict the ice covering situation of the contact network, which is of great significance for ensuring railway traffic safety.

[0068] Figure 2 A flow chart of an ice trigger condition identification method provided by another embodiment of the present disclosure is as follows: Figure 2 As shown, the method includes the following steps:

[0069] S201, obtaining elevation data of an area where a contact network is located, and obtaining three-dimensional feature data of each position of the contact network from the elevation data based on position distribution data of the contact network.

[0070] In this step, if Figure 5 As shown, the electronic device obtains the elevation data (Digital Elevation Model, DEM) of the area where the contact network is located. The location distribution data of the contact network is used to characterize the geographical location of the contact network, that is, the longitude and latitude. According to the geographical location of the contact network, the three-dimensional feature data of each position of the contact network is obtained from the elevation data. The three-dimensional feature data includes longitude, latitude, and altitude.

[0071] S202, performing satellite inversion processing based on the image data of the area where the contact network is located taken by the satellite, to obtain the underlying surface feature data of each position of the contact network.

[0072] The electronic device performs satellite inversion processing on the image data of the area where the contact network is located taken by the satellite, and obtains the underlying surface feature data of each position of the contact network. Specifically, the electronic device performs satellite inversion processing on the parameters in the image data of the area where the contact network is located taken by the satellite, and obtains the underlying surface feature data of each position of the contact network, and the underlying surface feature data includes grassland, water, shrubs, pine trees, mountains, forests, Gobi, etc.

[0073] S203: Obtain meteorological data for each location of the overhead line in a historical period of time.

[0074] In this step, if Figure 5 As shown, the electronic device obtains the meteorological data of the historical time period of each location of the contact network. Specifically, the meteorological data of the historical time period of each location of the contact network can be stored in the storage medium of the electronic device, or can be stored in the server, which is not limited here. The electronic device reads the meteorological data of the historical time period of each location of the contact network from the storage medium of the electronic device, or obtains the meteorological data of the historical time period of each location of the contact network from the server. The historical time period can be within the past week, the past twenty days, the past month, or the past two months. The historical time period is set manually and is not specifically limited.

[0075] S204. Combining the ice thickness at each location of the contact network in a historical time period, classifying and counting the three-dimensional feature data at each location of the contact network, the underlying surface feature data, and the meteorological data in the historical time period, to obtain a general trigger condition for icing of the contact network.

[0076] Specifically, the implementation process and principle of S204 and S102 are the same, and will not be repeated here.

[0077] S205: Divide the surrounding area of ​​the contact network into a plurality of grids of preset sizes, and identify the terrain of each grid.

[0078] Specifically, the implementation process and principle of S205 and S103 are the same, and will not be repeated here.

[0079] S206, based on the meteorological data of the grid corresponding to each terrain in the historical time period, combined with the ice thickness of the grid corresponding to each terrain in the historical time period and the general ice triggering condition, determine the ice characteristics and ice triggering conditions of each terrain.

[0080] Specifically, the implementation process and principle of S206 and S104 are the same, and will not be repeated here.

[0081] S207, obtaining ice coverage monitoring data collected in real time by sensors at various locations of the contact network, and extracting ice coverage characteristic parameters at various locations of the contact network from the ice coverage monitoring data and the environmental data.

[0082] In this step, the electronic device obtains ice monitoring data collected in real time by sensors at various locations of the overhead line. For example, sensors installed along the overhead line are used to collect ice monitoring data in real time, including ambient temperature, humidity, wind speed and direction, precipitation, and other data. Figure 5 As shown, the electronic device obtains real-time information collected in real time. Further, the ice characteristic parameters of each position of the contact network are extracted from the ice monitoring data and the environmental data, which is essentially to extract the characteristic parameters related to ice and filter out the characteristic parameters unrelated to ice. In some embodiments, the electronic device can extract the ice characteristic parameters of each position of the contact network from the ice monitoring data and the environmental data based on the characteristic parameters involved in the ice triggering conditions corresponding to the terrain at each position of the contact network, and filter out the characteristic parameters not involved.

[0083] Optionally, the ice cover characteristic parameters include micro-topography characteristic parameters and meteorological characteristic parameters; wherein the micro-topography characteristic parameters include at least terrain height parameters, terrain type, terrain direction parameters, and underlying surface characteristic data; and the meteorological characteristic parameters include at least wind speed parameters, temperature parameters, precipitation parameters, relative humidity parameters, and air pressure parameters.

[0084] S208. Based on the ice coating characteristic parameters at each position of the contact network, ice coating prediction is performed using a target ice coating trigger condition model corresponding to the terrain at each position of the contact network to obtain a predicted ice coating thickness at each position of the contact network.

[0085] After extracting the ice coating characteristic parameters of each position of the contact network, the electronic device can predict ice coating based on the ice coating characteristic parameters of each position of the contact network and use the target ice coating trigger condition model corresponding to the terrain of each position of the contact network to obtain the predicted ice coating thickness of each position of the contact network. Specifically, the ice coating characteristic parameters of each position of the contact network are input into the target ice coating trigger condition model corresponding to the terrain of each position of the contact network to predict the predicted ice coating thickness of each position of the contact network.

[0086] In some embodiments, ice cover prediction may be achieved by:

[0087]

[0088] In the above formula, δ represents the ice thickness in the historical period, which is a quantity related to microtopography MT and meteorology M. Among them, microtopography MT is related to terrain height h, terrain ξ, direction d, vegetation lc, etc.; meteorology M is related to wind speed u,v, temperature T, precipitation P, relative humidity rh, air pressure Pt, etc.

[0089] By measuring the micro-topographic characteristic parameters and the meteorological characteristic parameters in the historical time period, the ice thickness δ can be obtained. By measuring the current micro-topographic characteristic parameters and the current meteorological characteristic parameters, the current ice thickness δ' can be predicted.

[0090] In some embodiments, the target icing trigger condition model is trained through the following steps, including but not limited to S2081, S2082, S2083, S2084, and S2085:

[0091] S2081. Acquire multiple groups of sample data and corresponding actual ice thickness, wherein each group of sample data includes meteorological characteristic parameters and micro-topographic characteristic parameters of each position of the contact network.

[0092] The electronic device obtains multiple sets of sample data and the corresponding actual ice thickness. Each set of sample data in the multiple sets of sample data includes meteorological characteristic parameters and micro-topographic characteristic parameters at each location of the overhead line. The sample data can be collected based on big data or ice data collected by users in the past few years. The source of the sample data is not limited.

[0093] S2082: Training a target icing trigger condition model based on the multiple groups of sample data to obtain a prediction result for each group of sample data.

[0094] The electronic device trains the target icing trigger condition model based on multiple sets of sample data to obtain the prediction results for each set of sample data. Since the parameters of the model are not optimal, the prediction results during the training process may not be close to the actual ice thickness. The model is trained based on enough sample data to improve the accuracy of the target icing trigger condition model in predicting ice.

[0095] S2083. Perform loss calculation on the prediction result of each group of sample data based on the actual ice thickness corresponding to each group of sample data to obtain the loss calculation result of the target ice trigger condition model.

[0096] After obtaining the prediction results of each set of sample data, the electronic device performs loss calculation on the prediction results of each set of sample data according to the actual ice thickness corresponding to each set of sample data, and obtains the loss calculation results of the target ice trigger condition model. The smaller the loss calculation result, the closer the prediction result is to the actual ice thickness.

[0097] S2084: Update model parameters of the target icing trigger condition model based on the loss calculation result of the target icing trigger condition model.

[0098] The electronic device updates the model parameters of the target icing trigger condition model based on the loss calculation results of the target icing trigger condition model, thereby improving the prediction accuracy of the target icing trigger condition model. As the number of training times increases, the parameters of the model are continuously adjusted, making the prediction results closer and closer to the actual ice thickness.

[0099] S2085: If the accuracy of the target icing trigger condition model is greater than a preset threshold, the training of the target icing trigger condition model is completed.

[0100] When the accuracy of the target icing trigger condition model is greater than a preset threshold, the training of the target icing trigger condition model is completed, that is, the target icing trigger condition model can be used to predict the icing conditions at various locations of the contact network.

[0101] The embodiment of the present disclosure obtains the elevation data of the area where the contact network is located, obtains the three-dimensional feature data of each position of the contact network from the elevation data based on the position distribution data of the contact network, performs satellite inversion processing based on the image data of the area where the contact network is located taken by the satellite, obtains the underlying surface feature data of each position of the contact network, and obtains the meteorological data of each position of the contact network in the historical time period. Further, combined with the ice thickness of each position of the contact network in the historical time period, classification and statistics are performed based on the three-dimensional feature data of each position of the contact network, the underlying surface feature data, and the meteorological data in the historical time period to obtain the general triggering condition of ice coverage of the contact network. Then, the surrounding area of ​​the contact network is divided into multiple grids of preset sizes, and the terrain of each grid is identified. Based on the meteorological data of the grid corresponding to each terrain in the historical time period, combined with the ice thickness of the grid corresponding to each terrain in the historical time period and the general triggering condition of ice coverage, the ice coverage characteristics and ice coverage triggering conditions of each terrain are determined. Then, ice monitoring data collected in real time by sensors at various locations of the contact network are obtained, and ice characteristic parameters at various locations of the contact network are extracted from the ice monitoring data and the environmental data. Based on the ice characteristic parameters at various locations of the contact network, a target ice trigger condition model corresponding to the terrain at various locations of the contact network is used to predict ice, and the predicted ice thickness at various locations of the contact network is obtained. Compared with the prior art solution that only monitors ice but cannot identify ice trigger conditions, the disclosed embodiment can timely and accurately identify the trigger conditions for contact network ice, and thus better predict the contact network ice situation, which is of great significance for ensuring railway traffic safety. It can accurately predict the ice thickness at various locations of the contact network, improve the pertinence and efficiency of disaster prevention and mitigation of electrified railway contact networks, ensure the safe operation of contact network line equipment, and can monitor and warn in real time, providing a valuable time window for ice prevention and de-icing work.

[0102] Figure 3 A flow chart of an ice trigger condition identification method provided by another embodiment of the present disclosure is as follows: Figure 3 As shown, the method includes the following steps:

[0103] S301. Acquire environmental data of each location of the overhead line, wherein the environmental data includes three-dimensional feature data, underlying surface feature data, and meteorological data within a historical time period.

[0104] Specifically, the implementation process and principle of S301 and S101 are the same, and will not be repeated here.

[0105] S302. Combining the ice thickness at each location of the contact network in a historical time period, classifying and counting the three-dimensional feature data at each location of the contact network, the underlying surface feature data, and the meteorological data in the historical time period, to obtain a general trigger condition for icing of the contact network.

[0106] Specifically, the implementation process and principle of S302 and S102 are the same, and will not be repeated here.

[0107] S303: Divide the surrounding area of ​​the contact network into a plurality of grids of preset sizes, and identify the terrain of each grid.

[0108] Specifically, the implementation process and principle of S303 and S103 are the same, and will not be repeated here.

[0109] S304: Based on the meteorological data of the grid corresponding to each terrain in the historical time period, combined with the ice thickness of the grid corresponding to each terrain in the historical time period and the general ice triggering condition, determine the ice characteristics and ice triggering conditions of each terrain.

[0110] Specifically, the implementation process and principle of S304 and S104 are the same, and will not be repeated here.

[0111] S305, obtaining ice coverage monitoring data collected in real time by sensors at various locations of the contact network, and extracting ice coverage characteristic parameters at various locations of the contact network from the ice coverage monitoring data and the environmental data.

[0112] Specifically, the implementation process and principle of S305 and S207 are the same, and will not be repeated here.

[0113] S306: Based on the ice coating characteristic parameters at each position of the contact network, ice coating prediction is performed using a target ice coating trigger condition model corresponding to the terrain at each position of the contact network to obtain a predicted ice coating thickness at each position of the contact network.

[0114] Specifically, the implementation process and principle of S306 and S208 are the same, and will not be repeated here.

[0115] In some embodiments, S306 may include but is not limited to S3061 and S3062:

[0116] S3061. Based on the terrain at each location of the overhead line, select a target icing trigger condition model corresponding to the terrain at each location;

[0117] For example, if the terrain at the overhead line position A is a valley, the target icing trigger condition model corresponding to the valley is selected. Each terrain has a target icing trigger condition model corresponding to the terrain. Using the corresponding model for prediction according to different terrains can improve the accuracy of icing prediction.

[0118] S3062. Input the ice coating characteristic parameters of each position of the contact network into a target ice coating trigger condition model corresponding to the terrain of each position, and predict the predicted ice coating thickness of each position of the contact network through the target ice coating trigger condition model.

[0119] S307. For any location of the overhead line, if the predicted ice thickness of the target location is greater than a preset threshold, a warning message of the target location is issued.

[0120] For any position of the overhead line, the electronic device determines whether the predicted ice thickness at the target position is greater than the preset threshold. If the predicted ice thickness at the target position is greater than the preset threshold, the warning information of the target position is issued. Figure 5 As shown, the electronic device performs ice cover recognition and warning. Specifically, based on the predicted ice cover thickness, when the predicted ice cover thickness exceeds a preset threshold, the warning system alarm can be triggered, thereby issuing warning information.

[0121] S308. Determine the icing meteorological conditions of the terrain corresponding to the target location based on the preset threshold, and compare the current meteorological characteristic parameters of the target location with the icing meteorological conditions of the terrain corresponding to the target location. If the current meteorological characteristic parameters of the target location match the icing meteorological conditions of the terrain corresponding to the target location, it is determined that the warning information of the target location is accurate, and notify the relevant departments to take countermeasures.

[0122] In this step, the electronic device can infer the icing weather conditions of the terrain corresponding to the target location based on the preset threshold. For example, for a given threshold θ, the weather conditions M=f under different terrain conditions can be obtained. -1 (θ), meteorological conditions include wind speed parameters, temperature parameters, precipitation parameters, relative humidity parameters, air pressure parameters, etc. Further, the current meteorological characteristic parameters of the target location can be compared with the icing meteorological conditions of the terrain corresponding to the target location. If the matching degree between the current meteorological characteristic parameters of the target location and the icing meteorological conditions of the terrain corresponding to the target location is greater than the preset matching degree threshold, that is, the current meteorological characteristic parameters of the target location and the icing meteorological conditions of the terrain corresponding to the target location are successfully matched, then the warning information of the target location is determined to be accurate, and the relevant departments are notified to take countermeasures, which further improves the accuracy of the icing prediction.

[0123] The disclosed embodiment obtains environmental data of each position of the contact network, the environmental data includes three-dimensional feature data, underlying surface feature data, and meteorological data in a historical time period, and combines the ice thickness of each position of the contact network in a historical time period, and classifies and counts the three-dimensional feature data, underlying surface feature data, and meteorological data of each position of the contact network in a historical time period to obtain the general triggering condition of ice coverage of the contact network. Then, the surrounding area of ​​the contact network is divided into multiple grids of a preset size, and the terrain of each grid is identified. Based on the meteorological data of the grid corresponding to each terrain in a historical time period, combined with the ice thickness of the grid corresponding to each terrain in a historical time period and the general triggering condition of ice coverage, the ice coverage characteristics and ice coverage triggering conditions of each terrain are determined. Further, ice coverage monitoring data collected in real time by sensors at each position of the contact network is obtained, and ice coverage characteristic parameters of each position of the contact network are extracted from the ice coverage monitoring data and the environmental data. Based on the ice coverage characteristic parameters of each position of the contact network, ice coverage prediction is performed using the target ice coverage triggering condition model corresponding to the terrain of each position of the contact network to obtain the predicted ice coverage thickness of each position of the contact network. Furthermore, for any position of the contact network, if the predicted ice thickness of the target position is greater than a preset threshold, the warning information of the target position is issued, and the ice meteorological conditions of the terrain corresponding to the target position are determined based on the preset threshold. The current meteorological characteristic parameters of the target position are compared with the ice meteorological conditions of the terrain corresponding to the target position. If the current meteorological characteristic parameters of the target position match the ice meteorological conditions of the terrain corresponding to the target position, it is determined that the warning information of the target position is accurate, and the relevant departments are notified to take countermeasures. Compared with the scheme in the prior art that only monitors ice but cannot identify the triggering conditions of ice, the embodiment of the present disclosure can timely and accurately identify the triggering conditions of contact network ice, and thus better predict the ice situation of the contact network, which is of great significance for ensuring railway traffic safety. It can accurately predict and warn the ice thickness of each position of the contact network, improve the pertinence and efficiency of disaster prevention and mitigation of the contact network of electrified railways, and ensure the safe operation of the contact network line equipment.

[0124] Figure 6 A schematic diagram of the structure of an ice-covering trigger condition recognition device provided in an embodiment of the present disclosure. The ice-covering trigger condition recognition device may be an electronic device as described in the above embodiment, or the ice-covering trigger condition recognition device may be a component or assembly in the electronic device. The ice-covering trigger condition recognition device provided in an embodiment of the present disclosure may execute the processing flow provided in an embodiment of the ice-covering trigger condition recognition method, such as Figure 6As shown, the icing trigger condition identification device 40 includes: an acquisition module 41, a obtaining module 42, a division module 43, and a determination module 44; wherein the acquisition module 41 is used to obtain environmental data of each position of the contact network, and the environmental data includes three-dimensional feature data, underlying surface feature data, and meteorological data in a historical time period; the acquisition module 42 is used to combine the ice thickness of each position of the contact network in the historical time period, and classify and count based on the three-dimensional feature data of each position of the contact network, the underlying surface feature data, and the meteorological data in the historical time period to obtain the general icing trigger condition of the contact network; the division module 43 is used to divide the surrounding area of ​​the contact network into multiple grids of a preset size, and identify the terrain of each grid; the determination module 44 is used to determine the icing characteristics and icing trigger conditions of each terrain based on the meteorological data of the grid corresponding to each terrain in the historical time period, combined with the ice thickness of the grid corresponding to each terrain in the historical time period and the general icing trigger condition.

[0125] Optionally, when the acquisition module 41 acquires the environmental data of each position of the contact network, it is specifically used to: acquire the elevation data of the area where the contact network is located, and acquire the three-dimensional feature data of each position of the contact network from the elevation data based on the position distribution data of the contact network; perform satellite inversion processing on the image data of the area where the contact network is located taken by satellite to obtain the underlying surface feature data of each position of the contact network; and acquire the meteorological data of each position of the contact network within a historical time period.

[0126] Optionally, when the division module 43 identifies the terrain of each grid, it is specifically used to: identify the terrain of each grid based on the three-dimensional feature data of each grid and the underlying surface feature data, and determine the terrain corresponding to each grid from the preset terrain.

[0127] Optionally, after determining the ice characteristics and ice triggering conditions of each terrain based on the meteorological data in the historical time period of the grid corresponding to each terrain in combination with the ice thickness of the grid corresponding to each terrain in the historical time period, the device 40 also includes: an extraction module 45 and a prediction module 46; the extraction module 45 is used to obtain ice monitoring data collected in real time by sensors at various positions of the contact network, and extract ice characteristic parameters at various positions of the contact network from the ice monitoring data and the environmental data; the prediction module 46 is used to predict ice based on the ice characteristic parameters at various positions of the contact network, using a target ice trigger condition model corresponding to the terrain at various positions of the contact network, to obtain the predicted ice thickness at various positions of the contact network.

[0128] Optionally, the prediction module 46 performs icing prediction based on the icing characteristic parameters of each position of the contact network and adopts a target icing trigger condition model corresponding to the terrain of each position of the contact network to obtain the predicted ice thickness of each position of the contact network. It is specifically used for: selecting a target icing trigger condition model corresponding to the terrain of each position based on the terrain of each position of the contact network; inputting the icing characteristic parameters of each position of the contact network into the target icing trigger condition model corresponding to the terrain of each position, and predicting the predicted ice thickness of each position of the contact network by using the target icing trigger condition model.

[0129] Optionally, the ice cover characteristic parameters include micro-topography characteristic parameters and meteorological characteristic parameters; wherein the micro-topography characteristic parameters include at least terrain height parameters, terrain type, terrain direction parameters, and underlying surface characteristic data; and the meteorological characteristic parameters include at least wind speed parameters, temperature parameters, precipitation parameters, relative humidity parameters, and air pressure parameters.

[0130] Optionally, after the icing characteristic parameters at each position of the contact network are used to predict icing using a target icing trigger condition model corresponding to the terrain at each position of the contact network, and the predicted icing thickness at each position of the contact network is obtained, the device 40 also includes: a publishing module 47 and a notification module 48; the publishing module 47 is used for publishing early warning information of the target position at any position of the contact network if the predicted icing thickness at the target position is greater than a preset threshold; the notification module 48 is used to determine the icing meteorological conditions of the terrain corresponding to the target position based on the preset threshold, and compare the current meteorological characteristic parameters of the target position with the icing meteorological conditions of the terrain corresponding to the target position; if the current meteorological characteristic parameters of the target position match the icing meteorological conditions of the terrain corresponding to the target position, it is determined that the early warning information of the target position is accurate, and the relevant departments are notified to take countermeasures.

[0131] Figure 6 The ice-covering trigger condition identification device of the illustrated embodiment can be used to execute the technical solution of the above-mentioned method embodiment. Its implementation principle and technical effect are similar and will not be described in detail here.

[0132] Figure 7 Schematic diagram of the structure of an electronic device in the embodiment of the present disclosure. Figure 7 , which shows a structural schematic diagram of an electronic device 600 suitable for implementing the embodiments of the present disclosure. Figure 7 The electronic device shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present disclosure.

[0133] like Figure 7As shown, the electronic device 600 may include a processing device (e.g., a central processing unit, a graphics processing unit, etc.) 601, which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 602 or a program loaded from a storage device 608 to a random access memory (RAM) 603 to implement the ice trigger condition identification method of the embodiment described in the present disclosure. Various programs and data required for the operation of the electronic device 600 are also stored in the RAM 603. The processing device 601, the ROM 602, and the RAM 603 are connected to each other via a bus 604. An input / output (I / O) interface 605 is also connected to the bus 604.

[0134] Typically, the following devices may be connected to the I / O interface 605: an input device 606 including, for example, a touch screen, a touch pad, a keyboard, a mouse, a camera, a microphone, an accelerometer, a gyroscope, etc.; an output device 607 including, for example, a liquid crystal display (LCD), a speaker, a vibrator, etc.; a storage device 608 including, for example, a magnetic tape, a hard disk, etc.; and a communication device 609. The communication device 609 may allow the electronic device 600 to communicate with other devices wirelessly or by wire to exchange data. Although Figure 7 The electronic device 600 is shown with various devices, but it should be understood that it is not required to implement or possess all the devices shown. More or fewer devices may be implemented or possessed instead.

[0135] In particular, according to an embodiment of the present disclosure, the process described above with reference to the flowchart can be implemented as a computer software program. For example, an embodiment of the present disclosure includes a computer program product, which includes a computer program carried on a non-transitory computer-readable medium, and the computer program contains a program code for executing the method shown in the flowchart, thereby implementing the ice trigger condition identification method as described above. In such an embodiment, the computer program can be downloaded and installed from the network through the communication device 609, or installed from the storage device 608, or installed from the ROM 602. When the computer program is executed by the processing device 601, the above-mentioned functions defined in the method of the embodiment of the present disclosure are executed.

[0136] It should be noted that the computer-readable medium mentioned above in the present disclosure may be a computer-readable signal medium or a computer-readable storage medium or any combination of the above two. The computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In the present disclosure, a computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in combination with an instruction execution system, device or device. In the present disclosure, a computer-readable signal medium may include a data signal propagated in a baseband or as part of a carrier wave, which carries a computer-readable program code. This propagated data signal may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. The computer readable signal medium may also be any computer readable medium other than a computer readable storage medium, which may send, propagate or transmit a program for use by or in conjunction with an instruction execution system, apparatus or device. The program code contained on the computer readable medium may be transmitted using any suitable medium, including but not limited to: wires, optical cables, RF (radio frequency), etc., or any suitable combination of the above.

[0137] In some embodiments, the client and the server may communicate using any currently known or future developed network protocol such as HTTP (HyperTextTransferProtocol), and may be interconnected with any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include a local area network ("LAN"), a wide area network ("WAN"), an internet (e.g., the Internet), and a peer-to-peer network (e.g., an adhoc peer-to-peer network), as well as any currently known or future developed network.

[0138] The computer-readable medium may be included in the electronic device, or may exist independently without being incorporated into the electronic device.

[0139] The computer-readable medium carries one or more programs. When the one or more programs are executed by the electronic device, the electronic device:

[0140] Obtaining environmental data at each location of the overhead line, the environmental data including three-dimensional feature data, underlying surface feature data, and meteorological data within a historical time period;

[0141] Combined with the ice thickness at each location of the overhead contact network in the historical time period, based on the three-dimensional feature data at each location of the overhead contact network, the underlying surface feature data, and the meteorological data in the historical time period, classification and statistics are performed to obtain the general triggering condition of ice coverage of the overhead contact network;

[0142] Divide the surrounding area of ​​the overhead line into multiple grids of preset sizes and identify the terrain of each grid;

[0143] Based on the meteorological data of the grid corresponding to each terrain in the historical time period, combined with the ice thickness of the grid corresponding to each terrain in the historical time period and the general ice triggering condition, the ice characteristics and ice triggering conditions of each terrain are determined.

[0144] Optionally, when the above one or more programs are executed by the electronic device, the electronic device may also execute other steps described in the above embodiments.

[0145] Computer program code for performing the operations of the present disclosure may be written in one or more programming languages ​​or a combination thereof, including, but not limited to, object-oriented programming languages, such as Java, Smalltalk, C++, and conventional procedural programming languages, such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a separate software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving a remote computer, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., through the Internet using an Internet service provider).

[0146] The flowcharts and block diagrams in the accompanying drawings illustrate the possible implementation architecture, functions and operations of the system, method and computer program product according to various embodiments of the present disclosure. In this regard, each box in the flowchart or block diagram can represent a module, a program segment, or a part of a code, and the module, program segment, or a part of a code contains one or more executable instructions for implementing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a different order from the order marked in the accompanying drawings. For example, two boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram and / or flowchart, as well as the combination of boxes in the block diagram and / or flowchart, can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0147] The units involved in the embodiments described in the present disclosure may be implemented by software or hardware, wherein the name of a unit does not limit the unit itself in some cases.

[0148] The functions described above herein may be performed at least in part by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chip (SOCs), complex programmable logic devices (CPLDs), and the like.

[0149] In the context of the present disclosure, a machine-readable medium may be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, device, or equipment. A machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or device, or any suitable combination of the foregoing. More specific examples of machine-readable storage media may include an electrical connection based on one or more lines, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0150] The above description is only a preferred embodiment of the present disclosure and an explanation of the technical principles used. Those skilled in the art should understand that the scope of disclosure involved in the present disclosure is not limited to the technical solutions formed by a specific combination of the above technical features, but should also cover other technical solutions formed by any combination of the above technical features or their equivalent features without departing from the above disclosed concept. For example, the above features are replaced with the technical features with similar functions disclosed in the present disclosure (but not limited to) by each other to form a technical solution.

[0151] In addition, although each operation is described in a specific order, this should not be understood as requiring these operations to be performed in the specific order shown or in a sequential order. Under certain circumstances, multitasking and parallel processing may be advantageous. Similarly, although some specific implementation details are included in the above discussion, these should not be interpreted as limiting the scope of the present disclosure. Some features described in the context of a separate embodiment can also be implemented in a single embodiment in combination. On the contrary, the various features described in the context of a single embodiment can also be implemented in multiple embodiments individually or in any suitable sub-combination mode.

[0152] Although the subject matter has been described in language specific to structural features and / or methodological logical actions, it should be understood that the subject matter defined in the appended claims is not necessarily limited to the specific features or actions described above. On the contrary, the specific features and actions described above are merely example forms of implementing the claims.

Claims

1. A method for identifying ice trigger conditions, characterized in that: The method comprises: Obtaining environmental data at each location of the overhead line, the environmental data including three-dimensional feature data, underlying surface feature data, and meteorological data within a historical time period; Combined with the ice thickness at each location of the overhead contact network in the historical time period, based on the three-dimensional feature data at each location of the overhead contact network, the underlying surface feature data, and the meteorological data in the historical time period, classification and statistics are performed to obtain the general triggering condition of ice coverage of the overhead contact network; Divide the surrounding area of ​​the overhead line into multiple grids of preset sizes and identify the terrain of each grid; Based on the meteorological data of the grid corresponding to each terrain in the historical time period, combined with the ice thickness of the grid corresponding to each terrain in the historical time period and the general ice triggering condition, the ice characteristics and ice triggering conditions of each terrain are determined.

2. The method according to claim 1, characterized in that The step of obtaining environmental data of each location of the contact network includes: Acquire elevation data of the area where the contact network is located, and acquire three-dimensional feature data of each position of the contact network from the elevation data based on the position distribution data of the contact network; Satellite inversion processing is performed based on the image data of the area where the contact network is located taken by satellite to obtain the underlying surface feature data of each location of the contact network; Obtain meteorological data for each location of the overhead line over a historical period of time.

3. The method according to claim 1, characterized in that The identifying of the terrain of each grid includes: The terrain of each grid is identified based on the three-dimensional feature data of each grid and the underlying surface feature data, and the terrain corresponding to each grid is determined from the preset terrain.

4. The method according to claim 1, characterized in that: After determining the ice cover characteristics and ice cover triggering conditions of each terrain based on the meteorological data of the grid corresponding to each terrain in the historical time period and combining the ice cover thickness of the grid corresponding to each terrain in the historical time period, the method further includes: Acquire ice coverage monitoring data collected in real time by sensors at various locations of the contact network, and extract ice coverage characteristic parameters at various locations of the contact network from the ice coverage monitoring data and the environmental data; Based on the ice coating characteristic parameters at each position of the contact network, ice coating prediction is performed using a target ice coating trigger condition model corresponding to the terrain at each position of the contact network to obtain the predicted ice coating thickness at each position of the contact network.

5. The method according to claim 4, characterized in that The method of predicting ice coverage based on ice coverage characteristic parameters at each position of the contact network and using a target ice coverage trigger condition model corresponding to the terrain at each position of the contact network to obtain predicted ice coverage thickness at each position of the contact network includes: Based on the terrain at each location of the overhead line, selecting a target icing trigger condition model corresponding to the terrain at each location; The ice coating characteristic parameters of each position of the contact network are input into a target ice coating trigger condition model corresponding to the terrain of each position, and the predicted ice coating thickness of each position of the contact network is predicted by the target ice coating trigger condition model.

6. The method according to claim 4 or 5, characterized in that: The ice cover characteristic parameters include micro-topography characteristic parameters and meteorological characteristic parameters; Among them, the micro-topography characteristic parameters include at least terrain height parameters, terrain type, terrain direction parameters, and underlying surface characteristic data; the meteorological characteristic parameters include at least wind speed parameters, temperature parameters, precipitation parameters, relative humidity parameters, and air pressure parameters.

7. The method according to claim 4, characterized in that After performing ice prediction based on the ice characteristic parameters at each position of the contact network and using a target ice trigger condition model corresponding to the terrain at each position of the contact network to obtain the predicted ice thickness at each position of the contact network, the method further includes: For any location of the overhead line, if the predicted ice thickness at the target location is greater than the preset threshold, the warning information of the target location will be issued; The icing meteorological conditions of the terrain corresponding to the target location are determined based on the preset threshold, and the current meteorological characteristic parameters of the target location are compared with the icing meteorological conditions of the terrain corresponding to the target location. If the current meteorological characteristic parameters of the target location match the icing meteorological conditions of the terrain corresponding to the target location, it is determined that the warning information of the target location is accurate, and the relevant departments are notified to take countermeasures.

8. An ice-covering trigger condition recognition device, characterized in that: include: An acquisition module is used to acquire environmental data at each location of the overhead line, wherein the environmental data includes three-dimensional feature data, underlying surface feature data, and meteorological data within a historical time period; A module is used to obtain the general triggering condition of icing of the contact network by combining the ice thickness of each position of the contact network in the historical time period, classifying and counting the three-dimensional feature data of each position of the contact network, the feature data of the underlying surface, and the meteorological data in the historical time period; A division module, used for dividing the surrounding area of ​​the contact network into a plurality of grids of preset sizes and identifying the terrain of each grid; The determination module is used to determine the ice cover characteristics and ice cover triggering conditions of each terrain based on the meteorological data of the grid corresponding to each terrain in the historical time period, combined with the ice cover thickness of the grid corresponding to each terrain in the historical time period and the general ice cover triggering conditions.

9. An electronic device, characterized in that: include: Memory; processor; as well as Computer programs; The computer program is stored in the memory and is configured to be executed by the processor to implement the method according to any one of claims 1 to 7.

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 method according to any one of claims 1 to 7 is implemented.

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