Charging pile protection method and system for coping with extreme weather

Abstract

The invention relates to the technical field of charging pile protection, and provides a charging pile protection method and system for coping with extreme weather. The method comprises the following steps: constructing a charging pile topology network; constructing a connection equipment topology network; the charging pile topology network and the connection equipment topology network are connected to generate a double-layer topology network; performing real-time monitoring by using a double-layer topology network to obtain extreme weather information and a double-layer operation monitoring data set; inputting the extreme weather information and the double-layer operation monitoring data set into a grading protection model for analysis, and generating a grading protection strategy; and performing hierarchical protection on each charging pile of the charging pile topology network according to the hierarchical protection strategy. The technical problem that the charging pile is damaged due to the fact that the charging pile is not protected in time in extreme weather is solved, and the technical effects that extreme weather information is monitored in real time through a double-layer topology network, a grading protection strategy is formulated, and normal operation of the charging pile under the extreme weather condition is effectively protected are achieved.

Description

Technical Field

[0001] The present application relates to the technical field of charging pile protection, and specifically to a charging pile protection method and system for dealing with extreme weather. Background Art

[0002] As an important part of the charging infrastructure for electric vehicles (EVs), charging piles are widely used in cities, rural areas, highways and other scenarios. However, with the rapid development of the electric vehicle market, the deployment of charging piles is also increasing. Under extreme weather conditions (such as storms, lightning, blizzards, high temperatures, etc.), charging piles face severe challenges, including equipment damage, power outages, communication failures, environmental pollution and other problems. Existing technologies mainly focus on the basic protection of charging piles, such as waterproofing, dustproofing, and wind resistance. However, most of these protection measures are based on fixed standards and experience, and it is difficult to dynamically adjust according to actual weather changes, and it is impossible to provide a comprehensive protection strategy in extreme weather, and it is difficult to ensure that charging piles can maintain stable operation in all weather conditions. Summary of the invention

[0003] This application aims to solve the technical problem that charging piles are damaged due to untimely protection of charging piles in extreme weather by providing a charging pile protection method and system for dealing with extreme weather.

[0004] In view of the above problems, the present application provides a charging pile protection method and system for dealing with extreme weather.

[0005] The first aspect disclosed in the present application provides a charging pile protection method for extreme weather, the method comprising: constructing a charging pile topology network, wherein each node of the charging pile topology network corresponds to a charging pile; constructing a connection device topology network, wherein each node of the connection device topology network corresponds to a connection device, and the connection device is a device that has a connection relationship with the charging pile; connecting the charging pile topology network and the connection device topology network to generate a double-layer topology network; using the double-layer topology network to perform real-time monitoring to obtain current extreme weather information and a double-layer operation monitoring data set; inputting the extreme weather information and the double-layer operation monitoring data set into a charging pile hierarchical protection model to perform an impact indicator analysis and generate a charging pile hierarchical protection strategy; and performing hierarchical protection on each charging pile in the charging pile topology network using the charging pile hierarchical protection strategy.

[0006] Another aspect disclosed in the present application provides a charging pile protection system for responding to extreme weather, the system comprising: a charging pile topology network construction module: constructing a charging pile topology network, wherein each node of the charging pile topology network corresponds to a charging pile; a connection device topology network construction module: constructing a connection device topology network, wherein each node of the connection device topology network corresponds to a connection device, and the connection device is a device that has a connection relationship with the charging pile; a topology network connection module: connecting the charging pile topology network and the connection device topology network to generate a double-layer topology network; a real-time monitoring module: using the double-layer topology network to perform real-time monitoring to obtain current extreme weather information and a double-layer operation monitoring data set; an impact index analysis module: inputting the extreme weather information and the double-layer operation monitoring data set into a charging pile hierarchical protection model to perform impact index analysis and generate a charging pile hierarchical protection strategy; a hierarchical protection module: performing hierarchical protection on each charging pile in the charging pile topology network using the charging pile hierarchical protection strategy.

[0007] One or more technical solutions provided in this application have at least the following technical effects or advantages: The above-mentioned charging pile protection method for extreme weather constructs a charging pile topology network, regards each charging pile as a node in the network, and forms a network structure covering all charging piles. This enables the status of each charging pile to be monitored and managed in real time. At the same time, a connected device topology network is constructed, in which each node represents a device connected to the charging pile, providing a basis for subsequent protection decisions. Subsequently, the two topology networks are connected to generate a double-layer topology network. When extreme weather comes, the double-layer topology network can synchronously obtain the current weather information and the operation data of the charging pile, and provide real-time feedback on the impact of extreme weather on the charging pile and its connected devices, providing reliable data support for the protection of the charging pile under extreme weather conditions. Afterwards, the acquired extreme weather information and operation monitoring data set are input into the charging pile hierarchical protection model for impact indicator analysis, identifying the risks that the charging pile and connected devices may face under the current extreme weather conditions, and generating a comprehensive charging pile hierarchical protection strategy. Finally, the charging pile hierarchical protection strategy dynamically and accurately hierarchically protects each charging pile in the charging pile topology network according to the risk level and protection needs of each charging pile, ensuring that risks of different degrees can be responded to and handled in a timely manner, thereby improving the stability and safety of the charging pile in extreme weather.

[0008] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0009] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0010] Figure 1 The figure is a flow chart of a charging pile protection method for extreme weather in one embodiment.

[0011] Figure 2 This is a diagram of the architecture of a charging pile protection system for dealing with extreme weather in one embodiment.

[0012] Explanation of the accompanying drawings: charging pile topology network construction module 1, connection device topology network construction module 2, topology network connection module 3, real-time monitoring module 4, impact index analysis module 5, hierarchical protection module 6. DETAILED DESCRIPTION

[0013] The embodiments of the present application provide a charging pile protection method and system for coping with extreme weather, thereby solving the technical problem that the charging piles are damaged due to untimely protection of the charging piles in extreme weather.

[0014] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of this application.

[0015] It should be noted that the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or server that includes a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or modules that are not explicitly listed or inherent to these processes, methods, products or devices.

[0016] Embodiment 1, as Figure 1 As shown, the present application provides a charging pile protection method for dealing with extreme weather, the method comprising: A charging pile topology network is constructed, wherein each node of the charging pile topology network corresponds to a charging pile.

[0017] In the embodiment of the present application, the construction of the charging pile topology network is one of the basic components of the entire charging pile protection. The charging pile topology network is a network structure composed of multiple nodes, each node represents an independent charging pile, and each charging pile node not only contains the basic information of the charging pile, such as the model, installation location, charging power, etc. of the charging pile, but also includes real-time monitoring operation data, such as charging status, operating voltage, temperature, load conditions, etc.; this charging pile topology network is used to monitor the operating status of each charging pile, and by aggregating various real-time data of the charging piles, it provides an accurate basis for subsequent extreme weather protection decisions, ensuring the safety and stability of the charging piles under extreme weather conditions.

[0018] A connection device topology network is constructed, wherein each node of the connection device topology network corresponds to a connection device, and the connection device is a device that has a connection relationship with the charging pile.

[0019] In one embodiment, the construction of a connection device topology network is also one of the basic components of the entire charging pile protection. The connection device topology network is composed of multiple nodes, each node represents a device that has a connection relationship with the charging pile. These connection devices work closely with the charging pile to ensure that the charging pile can operate normally and provide services. The connection devices include but are not limited to power supply equipment, communication and control equipment, stabilization equipment, and auxiliary equipment; among them, the power supply equipment is responsible for providing a stable power supply for the charging pile, such as a grid transformer, a power distribution device, etc.; the communication and control equipment includes wireless communication equipment, network routers, data exchange equipment, etc., which are used to connect the charging pile with a remote monitoring system, a cloud platform or a user. Interface connection; stabilization equipment is used to protect the charging pile from power fluctuations or external environmental changes, such as UPS power supply, overvoltage protection device, lightning arrester, etc.; auxiliary equipment is additional equipment that supports the normal operation of the charging pile, such as cooling system, sensor, cleaning equipment, etc.; by building a topological network of connected devices, these different types of equipment can be organized into a multi-level, multi-dimensional monitoring system. The node of each device not only contains its basic information (such as model, status, location, etc.), but also includes real-time operation data, such as voltage, current, communication status, temperature, pressure, etc., as well as monitored data, such as temperature, humidity, wind speed, etc., to ensure the stability and synergy between the charging pile and these devices.

[0020] The charging pile topology network and the connection device topology network are connected to generate a double-layer topology network.

[0021] In one embodiment, in the charging pile topology network, each node represents a charging pile, and in the connection device topology network, each node represents a connection device associated with the charging pile, such as power equipment, communication equipment, etc., by connecting the two networks, that is, corresponding the connection device nodes in the connection device topology network and the charging pile nodes in the charging pile topology network, a two-layer topology network is formed, the upper layer of this network is the charging pile topology network, which represents the state of the charging pile itself, and the lower layer is the connection device topology network, which represents the external device connected to the charging pile and its operating state; in the two-layer topology network, the upper and lower layers are not only simply physically connected, but also can realize information sharing and interaction through data flow. For example, the charging pile node can receive the operating data (such as the voltage, temperature and other status information of the power equipment) from the lower layer connection device in real time, and at the same time, the connection device node can also obtain the operating status data of the upper layer charging pile (such as the current load and charging status of the charging pile); this two-way data transmission ensures that the status of each charging pile and its connected device can be fully understood, thereby providing a more accurate decision-making basis for protective measures.

[0022] The double-layer topology network is used for real-time monitoring to obtain current extreme weather information and a double-layer operation monitoring data set.

[0023] In one embodiment, a dual-layer topology network is used to access external weather monitoring data sources, such as weather stations, satellite data, environmental monitoring equipment, etc., to obtain current extreme weather data, such as storms, lightning, strong winds, blizzards and other weather conditions, as well as the temperature, humidity, wind speed, etc. of the surrounding environment; real-time monitoring is performed through the dual-layer topology network, and extreme weather information can be continuously updated to ensure the accuracy and timeliness of the monitoring data. Extreme weather information will be used as input to the model to help timely identify environmental factors that may pose a threat to the charging pile and connected devices; in addition to external extreme weather information, the operating status of the charging pile itself and all connected devices is also collected through the dual-layer topology network. The dual-layer topology network The charging pile topology network in the network will continuously collect the operating data of each charging pile node, such as the current, voltage, temperature, load condition, etc. of the charging pile, and simultaneously collect the information of the connected device nodes connected to the charging pile nodes through the connected device topology network, such as the current and voltage of the power equipment, the signal strength of the communication equipment, the working status of the stable equipment, etc. All the collected data will be summarized through the connection relationship between the two topology networks and output through the double-layer topology network to form a comprehensive double-layer operation monitoring data set. This double-layer operation monitoring data set will also be used as the input of the model to generate a protection strategy that meets the current environment to ensure the stable operation of the charging pile in a complex environment.

[0024] The extreme weather information and the double-layer operation monitoring data set are input into the charging pile hierarchical protection model to perform impact index analysis and generate a charging pile hierarchical protection strategy.

[0025] In one embodiment, after obtaining extreme weather information and a two-layer operation monitoring data set, the extreme weather information and the two-layer operation monitoring data set are processed, and the environmental factors that have a greater impact on the charging pile, such as wind speed, precipitation, temperature, lightning, etc., are extracted by comparing and analyzing the extreme weather information with the factor matching library. Then, the operation monitoring data of the charging pile and the operation monitoring data of the connection device are extracted from the two-layer operation monitoring data set respectively; then, all the extracted data are input into the charging pile hierarchical protection model, and the impact index analysis is performed through the charging pile impact analysis channel and the connection device impact analysis channel in the model; then, the two are combined. The analysis results of each channel are integrated to generate a comprehensive charging pile impact index. Each charging pile corresponds to a comprehensive charging pile impact index. Through these comprehensive charging pile impact indicators, the corresponding charging pile hierarchical protection strategy is matched from the multi-level protection level to take the most suitable protection measures for each charging pile node, such as adjusting the charging power, reducing the load, cutting off the power supply of non-critical equipment, enabling backup power equipment, enhancing communication redundancy, etc.; these measures will be dynamically adjusted according to real-time monitoring data to ensure that the charging pile can maintain normal operation in extreme weather or equipment failure, and avoid shutdown or damage due to overload, equipment failure or safety issues.

[0026] Furthermore, the present application provides inputting the extreme weather information and the double-layer operation monitoring data set into the charging pile hierarchical protection model to perform impact index analysis, the method comprising: The extreme weather information and the two-layer operation monitoring data set are analyzed according to the charging pile hierarchical protection model to obtain the first charging pile impact index and the second charging pile impact index corresponding to each charging pile node; wherein the first charging pile impact index is the degree to which the charging pile itself is affected by extreme weather, and the second charging pile impact index is the accompanying impact index on the charging pile after the connected device is affected by extreme weather; based on the first charging pile impact index and the second charging pile impact index, a comprehensive charging pile impact index is generated; based on the comprehensive charging pile impact index, a charging pile hierarchical protection strategy is generated.

[0027] Preferably, when performing the impact index analysis, the charging pile hierarchical protection model will transmit the received environmental factors with greater impact and the operation monitoring data of the charging pile to the internal charging pile impact analysis channel, and transmit the operation monitoring data of the connected device to the internal connection device impact analysis channel; the charging pile impact analysis channel analyzes the received environmental factors and the charging pile operation monitoring data through the learned mapping relationship, obtains multiple operation impact indicators of the charging pile, such as voltage fluctuation index, current load index, electrical loss index, etc., and then calculates the information entropy of these indicators to obtain the first charging pile impact index. This charging pile impact analysis channel can be constructed based on neural networks, support vector machines, random forests, etc. This first charging pile impact index is used to quantify the degree of impact of extreme weather on the charging pile itself; the connection device impact analysis channel analyzes the received connection device operation monitoring data through the learned mapping relationship, obtains multiple device impact indicators of the charging pile, such as power supply capacity index, equipment safety index, etc., and then summarizes and integrates these indicators to obtain the second charging pile impact index. This second charging pile impact index is used to quantify the impact of the connection device on the charging pile after being affected by extreme weather. With the impact, for example, the power equipment or communication equipment is affected by lightning, power outage or temperature change, which may cause unstable power supply or communication interruption of the charging pile, thereby affecting the normal operation of the charging pile; once the first charging pile impact index and the second charging pile impact index are obtained, the two indicators will be processed comprehensively, and weighted calculation will be performed through the preset weight of each indicator (determined based on business needs and expert advice) to generate a comprehensive charging pile impact index. This indicator combines all potential risks of the charging pile itself and the connected equipment, and can fully reflect the comprehensive risk level of the charging pile under the current extreme weather, thereby providing a more accurate risk assessment; Based on this comprehensive charging pile impact index, by matching with multiple levels of protection, a hierarchical protection strategy for the charging pile is generated. For example, charging piles with higher risks may need to take more stringent protection measures, such as limiting charging power, temporarily stopping operation or switching to backup power supply, while charging piles with lower risks may only need to make minor adjustments, such as monitoring their operating data, adjusting temperature, etc. Through this hierarchical protection strategy, each charging pile can obtain the most suitable protection measures according to its current risk status, thereby minimizing the potential threat of extreme weather to the charging pile.

[0028] Furthermore, the present application provides a method for obtaining a first charging pile impact indicator corresponding to each charging pile node, including: The extreme weather information is input into a factor matching library for analysis to determine a set of influencing factors, wherein the set of influencing factors is the factors corresponding to the impact of extreme weather on the charging piles; based on the two-layer operation monitoring data set, the operation monitoring data set of each charging pile is extracted; based on the set of influencing factors, the operation monitoring data set of each charging pile is analyzed to obtain a set of operation influencing indicators corresponding to each charging pile and the set of influencing factors; information entropy is calculated according to the set of operation influencing indicators, and a first charging pile influencing indicator corresponding to each charging pile node is output.

[0029] Optionally, extreme weather information (such as temperature, humidity, wind speed, precipitation, etc.) is input into a pre-constructed factor matching library, which contains a large number of factors that can have a great impact on the operation of the charging pile and is constructed based on sample testing. By comparing the environmental factors involved in the extreme weather information with the factors in the factor matching library, a set of influencing factors related to the operating status of the charging pile is extracted, that is, the environmental factors involved in the extreme weather information and the samples in the factor matching library are similarly calculated by Euclidean distance, and the calculated similarity distance is compared with the environmental similarity limit, and samples with a similarity distance less than or equal to the environmental similarity limit are screened out, and the influencing factor set corresponding to a sample with the smallest similarity distance is selected from the screened samples as the influencing factor set of the current extreme weather information. The environmental factors in this influencing factor set represent the potential impact of weather changes on the charging pile and its connected devices. Subsequently, based on the double-layer operation monitoring data set, an operation monitoring data set for each charging pile is extracted. These data include the actual working status of the charging pile, for example, the voltage, current, temperature, Load, power factor and other information, these data can reflect the operating status of the charging pile under the current environmental conditions; then, the influencing factor set of the current extreme weather information and the operation monitoring data set of each charging pile are input into the charging pile impact analysis channel in the charging pile hierarchical protection model, and the operation impact index set of each charging pile is calculated through the analysis of the charging pile impact analysis channel. This operation impact index set includes but is not limited to voltage fluctuation index, current load index, power factor index, electrical loss index, charging pile temperature index, and signal strength index; in order to quantify the total impact of the influencing factors, the data in the operation impact index set will be combined with the historical data and sample data, and the operation impact index set, historical data and sample data will be standardized by z-score standardization, so that each indicator is between 0 and 1, eliminating the impact of the dimension; then, by statistically analyzing the standard operation impact index set, standard historical data and standard sample data of each charging pile node, the probability of each value of each operation impact index is determined, and the probability distribution of each operation impact index is constructed; then, combined with the information entropy calculation formula The information entropy of the probability distribution of each operation influencing indicator is calculated to obtain the information entropy of each operation influencing indicator, where: The information entropy of the operating impact indicator is Is a value of the running impact indicator The probability of n is the number of all possible values ​​of the operation influencing index; finally, the information entropy of each operation influencing index in the operation influencing index set of each charging pile is added to obtain the first charging pile influencing index of each charging pile. This first charging pile influencing index integrates all potential risks of the charging pile under extreme weather conditions. It is obtained through quantitative analysis and can provide a key basis for the formulation of subsequent protection strategies.

[0030] For the charging pile impact analysis channel, taking the deep neural network (DNN) as an example, the DNN is used to construct the charging pile impact analysis channel structure, including input layer, hidden layer, output layer, etc.; first, the input layer is defined, and the input layer receives the sample impact factor set and the charging pile sample operation monitoring data set. These input data include extreme weather information (such as temperature, humidity, wind speed, etc.), as well as the real-time operation data of the charging pile (such as voltage, current, temperature, power, etc.); then, the network weights are initialized using the random initialization method, and the training data is input into the initialized network for forward propagation. Through the input layer, the data is passed to multiple hidden layers. Each hidden layer performs nonlinear transformation through activation functions (such as ReLU, Sigmoid, etc.) to extract high-order features in the data. These hidden layers can automatically learn the relevant impact patterns according to the input weather conditions and charging pile operation status, and pass them layer by layer. Construct the impact features of charging piles. After feature extraction and nonlinear mapping of the hidden layer, the data will generate a set of operation impact indicators through the output layer. Then, use the mean square error loss function (MSE) to calculate the loss value between the predicted operation impact indicator set and the sample operation impact indicator set, and use the back propagation algorithm to calculate the gradient of the loss to each layer of weights layer by layer, update the weight value, and then use the Adam optimizer to adjust the network parameters to minimize the loss function value. Repeat this process until the loss value converges or the maximum number of iterations is reached. After training, use data that has not been used for training to test the model performance and evaluate the accuracy of the model in predicting the impact indicators of charging piles. If the model accuracy meets the expected goal, the currently trained network model will be used as the final charging pile impact analysis channel. If the model performance does not meet the standard, adjust the learning rate, training batch size and other hyperparameters to further improve the prediction ability.

[0031] Furthermore, the present application provides a method for constructing the factor matching library, the method comprising: Acquire multiple extreme weather test samples; acquire healthy operation data change samples of the charging pile to be tested; perform an impact test on the charging pile under each extreme weather test sample in the multiple extreme weather test samples to acquire a test operation data change sample; compare the healthy operation data change sample with the test operation data change sample, and use the factor with a change rate greater than a preset change rate as an impact factor set corresponding to the extreme weather test sample, and output multiple impact factor sets corresponding to the multiple extreme weather test samples respectively; construct the factor matching library according to the correspondence between the multiple extreme weather test samples and the multiple impact factor sets.

[0032] Optionally, collect and obtain multiple extreme weather test samples. These test samples represent the environmental conditions that the charging pile may face under different extreme weather conditions (such as storms, lightning, low temperature, high temperature, humidity changes, etc.). Each test sample contains meteorological data under different weather factors (such as temperature, humidity, wind speed, precipitation, etc.) and related environmental variables. Subsequently, collect healthy operation data change samples of the charging pile to be tested under normal conditions. These data reflect the various states of normal operation of the charging pile under standard conditions (without the influence of extreme weather), such as current, voltage, load, charging rate, temperature, etc. These data are used as a basis for comparison to measure the changes that may occur in the charging pile under extreme weather conditions. Afterwards, for each extreme weather test sample, perform an impact test on the charging pile, simulate the operating state of the charging pile under these extreme weather conditions through simulation software, and collect operating data change samples of the charging pile under these extreme weather conditions, such as current fluctuations, voltage changes, equipment temperature, power changes, etc. of the charging pile during the test. These test samples show the actual response of the charging pile under extreme weather conditions and reflect the specific impact of weather factors on the working state of the charging pile. After obtaining the healthy operation data, the charging pile is tested. After the data change sample and the test operation data change sample are obtained, the two sets of data are compared, and the degree of performance change of the charging pile under extreme weather conditions is determined by calculating the change rate of the two sets of data; if the change rate of the test operation data is greater than the preset change rate threshold, it is considered that the change is due to the influence of extreme weather, and then the change factor is determined as the influencing factor. For example, if the temperature of the charging pile is significantly higher than the healthy operation state in the test sample, this change can be calibrated as the influencing factor of temperature change; then, the compared and screened influencing factor set is output, and each extreme weather test sample corresponds to an influencing factor set, which represents the influencing factors of extreme weather on the charging pile; finally, according to the correspondence between multiple extreme weather test samples and the corresponding multiple influencing factor sets, a factor matching library is constructed. This factor matching library will store each extreme weather test sample and its corresponding influencing factor set, which will be used for the subsequent charging pile in actual operation to match and predict the risks that the charging pile may face based on the current environmental conditions (such as actual weather). The factor matching library not only helps to identify the correspondence between weather factors and charging pile performance, but also provides data support for future protection decisions and risk assessments.

[0033] Furthermore, the present application provides a method for obtaining a second charging pile impact indicator corresponding to each charging pile node, including: According to the connection relationship of the two-layer topology network, identify the device subnetwork directly connected to each charging pile node, wherein each node of the device subnetwork corresponds to a directly connected device; according to the two-layer operation monitoring data set, extract the operation monitoring data set of each connected device; perform an impact analysis on the operation monitoring data set of each connected device, and output the device impact index of each connected device; perform a concomitant impact analysis on each charging pile node according to the device impact index of each connected device, and obtain the second charging pile impact index corresponding to each charging pile node.

[0034] Optionally, in a two-layer topology network, the charging pile topology network and the connection device topology network are two independent networks, but there is a connection relationship between them. Based on this connection relationship, the device sub-network directly connected to each charging pile node is identified. Each charging pile node is connected to multiple connection devices (such as power supply equipment, communication equipment, UPS power supply, etc.), and these devices jointly support the normal operation of the charging pile. Therefore, by analyzing the connection relationship between the charging pile topology network and the connection device topology network, each charging pile node and the device directly connected to it are divided into a sub-network, namely the device sub-network, and each node in the device sub-network represents a device directly connected to the charging pile; then, the operation monitoring data set of each connection device is extracted from the two-layer operation monitoring data set, such as voltage, current, temperature, load, communication signal strength, etc. These data will be used to analyze the current operation status of the device and the potential risks in extreme weather conditions; then, the operation monitoring data set of each connection device is input into the connection device impact analysis In the analysis channel, the device impact index of each connected device is obtained. This device impact index includes but is not limited to power supply capacity index, communication stability index and device safety index. The construction method of this connection device impact analysis channel is the same as the above, and is also obtained by training with the connection device sample operation monitoring data set and sample device impact index through forward propagation, loss calculation, back propagation, parameter optimization and other steps; after obtaining the device impact index of each connected device, these indicators will be used to perform concomitant impact analysis on each charging pile node. The purpose of concomitant impact analysis is to evaluate the indirect impact on the charging pile caused by the connected device. In this process, according to the correspondence between the charging pile and the device sub-network, the device impact indicators of the connected devices belonging to the same charging pile will be gathered in one, and the concomitant impact of the connected device on each charging pile will be analyzed. The analysis results are weighted and calculated to obtain the second charging pile impact index of each charging pile node, which reflects the degree of influence of the connected device under extreme weather conditions.

[0035] Furthermore, the present application provides an accompanying impact analysis of each charging pile node based on the device impact index of each connected device, including power supply capacity impact, communication stability impact and device safety impact; calculations are performed based on the power supply capacity impact, communication stability impact and device safety impact, and a second charging pile impact index corresponding to each charging pile node is output.

[0036] Optionally, after obtaining the device impact index of each connected device, the device impact index of the connected devices belonging to the same charging pile node is extracted through the device subnetwork to construct an accompanying impact node set for each charging pile node; then, an accompanying impact analysis is performed based on the charging pile nodes corresponding to each accompanying impact node set, including power supply capacity impact analysis, communication stability impact analysis and device safety impact analysis; for the power supply capacity impact analysis, the power supply capacity index of the accompanying impact node set of each charging pile node is summed to obtain the power supply capacity impact of each charging pile node; for the communication stability impact analysis, the communication stability index of the accompanying impact node set of each charging pile node is summed to obtain the communication stability impact of each charging pile node; for the device safety impact analysis, the device safety index of the accompanying impact node set of each charging pile node is summed to obtain the device safety index of the accompanying impact node set of each charging pile node The impact of equipment safety on the charging pile node; after the accumulation of impact indicators, a weighted calculation is performed on the power supply capacity impact, communication stability impact and equipment safety impact of each charging pile node. The purpose of weighting is to adjust the proportion of each impact in the comprehensive calculation according to its importance. The weight of each impact is set based on business needs and expert advice. For example, power supply capacity may be more important than communication stability, so a higher weight is assigned to the power supply capacity indicator; finally, based on the weighted calculation of the power supply capacity impact, communication stability impact and equipment safety impact, the second charging pile impact index of each charging pile node can be obtained. This index integrates the impact of all connected devices on the charging pile operation, and reflects the risks that the charging pile may face under current extreme weather conditions. The higher the second charging pile impact index, the greater the risk that the charging pile may face under extreme weather conditions, and the stricter the protection strategy needs to be.

[0037] Further, the present application provides a method for identifying a device sub-network directly connected to each charging pile node, and the method further includes: According to the connection relationship of the two-layer topology network, an indirect device indirectly connected to each charging pile node is identified, wherein the step length of the indirect connection is 1; and the device subnetwork directly connected to each charging pile node is updated according to the indirect device.

[0038] Optionally, the influence range of the charging pile node is further expanded through the connection relationship of the double-layer topology network, the devices indirectly connected to the charging pile node are identified, and the device sub-network of the charging pile node is updated based on these indirect devices; specifically, in the double-layer topology network, the charging pile node is not only associated with the directly connected device, but may also be indirectly connected to other devices through other devices. Through connection relationship analysis, the devices indirectly connected to each charging pile node are identified, wherein the step length of the indirect connection is 1, that is, there is only one device as an intermediary between the charging pile node and the indirect device; after identifying the devices indirectly connected to each charging pile node, the device sub-network of the charging pile node is updated based on these indirectly connected devices, because these indirectly connected devices may also affect the operation of the charging pile, especially in extreme weather conditions, the indirect devices may indirectly affect the stability and safety of the charging pile through their connection with the charging pile, and the updated device sub-network will include the directly connected devices and indirectly connected devices of the charging pile node, ensuring that the device network structure of the entire charging pile node is fully reflected.

[0039] Furthermore, the present application provides a method for generating a charging pile hierarchical protection strategy according to the comprehensive charging pile impact index, and the method further includes: Configure multiple protection levels, each protection level corresponds to an impact interval; analyze the comprehensive charging pile impact index of each charging pile according to the multiple protection levels to determine the matching protection level of each charging pile; and perform protection processing in order from large to small according to the matching protection level of each charging pile.

[0040] Optionally, in the charging pile protection, a multi-level protection level is configured. These protection levels are divided into different impact intervals according to the comprehensive charging pile impact index of the charging pile. For example, the high risk level (red) corresponds to a higher impact interval, indicating that the charging pile faces a greater risk and needs to take the strongest protection measures. The medium risk level (yellow) corresponds to a medium range of impact intervals, indicating that the charging pile faces a certain risk and needs medium-intensity protection. The low risk level (green) corresponds to a lower impact interval, indicating that the charging pile faces a smaller risk and the protection measures can be relatively loose. The division of these protection levels and impact intervals can help flexibly adjust the intensity of the protection measures according to the specific situation of each charging pile; then, based on the specific situation of each charging pile, the protection level can be adjusted according to the specific situation of each charging pile. According to the comprehensive charging pile impact index of each charging pile, it is analyzed and compared with the multi-level impact interval to determine which protection level the charging pile should belong to; once the matching protection level of each charging pile is determined, the corresponding protection treatment will be performed in sequence from large to small according to the protection level, that is, first deal with those charging piles with higher risks and matched to high risk levels. These charging piles may face greater risks, so strong protection measures need to be taken as soon as possible, such as suspending charging, switching to backup power supplies, strengthening temperature control, etc., then deal with charging piles with medium risk levels, implement appropriate protection measures, and finally deal with charging piles with low risk levels, implement more relaxed protection measures, such as only monitoring or adjusting some non-critical parameters.

[0041] The charging pile hierarchical protection strategy is used to perform hierarchical protection on each charging pile in the charging pile topology network.

[0042] In one embodiment, after obtaining the charging pile hierarchical protection strategy, the charging pile hierarchical protection strategy will be sorted according to the risk level, and the corresponding charging piles will be graded and protected in sequence from high to low risk levels using the charging pile hierarchical protection strategy to ensure the operating stability of the charging piles.

[0043] In summary, the embodiments of the present application have at least the following technical effects: The embodiment of the present application forms a double-layer topology structure by constructing a charging pile topology network and a connection device topology network, and uses the network to monitor extreme weather information and the operating status of the charging pile in real time; by inputting this information into the charging pile hierarchical protection model, analyzing the self-influence of the charging pile and the accompanying influence of the connection device, generating a comprehensive impact index of the charging pile, and then formulating a hierarchical protection strategy for the charging pile; in addition, according to the comprehensive impact index of the charging pile, multiple levels of protection are configured to ensure that the charging pile implements corresponding protection measures according to different risk levels. These technical effects jointly solve the technical problem that the charging pile is damaged due to untimely protection of the charging pile in extreme weather, and realize the technical effect of real-time monitoring of extreme weather information through a double-layer topology network, formulating a hierarchical protection strategy, and effectively protecting the normal operation of the charging pile under extreme weather conditions.

[0044] Embodiment 2 is based on the same inventive concept as the charging pile protection method for extreme weather in the previous embodiment. Figure 2 As shown, the present application provides a charging pile protection system for dealing with extreme weather, and the system includes: a charging pile topology network construction module 1: constructing a charging pile topology network, wherein each node of the charging pile topology network corresponds to a charging pile; a connection device topology network construction module 2: constructing a connection device topology network, wherein each node of the connection device topology network corresponds to a connection device, and the connection device is a device that has a connection relationship with the charging pile; a topology network connection module 3: connecting the charging pile topology network and the connection device topology network to generate a double-layer topology network; a real-time monitoring module 4: using the double-layer topology network to perform real-time monitoring to obtain current extreme weather information and a double-layer operation monitoring data set; an impact index analysis module 5: inputting the extreme weather information and the double-layer operation monitoring data set into a charging pile hierarchical protection model to perform impact index analysis and generate a charging pile hierarchical protection strategy; a hierarchical protection module 6: using the charging pile hierarchical protection strategy to perform hierarchical protection on each charging pile in the charging pile topology network.

[0045] Furthermore, the impact indicator analysis module 5 is also used to perform the following method: The extreme weather information and the two-layer operation monitoring data set are analyzed according to the charging pile hierarchical protection model to obtain the first charging pile impact index and the second charging pile impact index corresponding to each charging pile node; wherein the first charging pile impact index is the degree to which the charging pile itself is affected by extreme weather, and the second charging pile impact index is the accompanying impact index on the charging pile after the connected device is affected by extreme weather; based on the first charging pile impact index and the second charging pile impact index, a comprehensive charging pile impact index is generated; based on the comprehensive charging pile impact index, a charging pile hierarchical protection strategy is generated.

[0046] Furthermore, the impact indicator analysis module 5 is also used to perform the following method: The extreme weather information is input into a factor matching library for analysis to determine a set of influencing factors, wherein the set of influencing factors is the factors corresponding to the impact of extreme weather on the charging piles; based on the two-layer operation monitoring data set, the operation monitoring data set of each charging pile is extracted; based on the set of influencing factors, the operation monitoring data set of each charging pile is analyzed to obtain a set of operation influencing indicators corresponding to each charging pile and the set of influencing factors; information entropy is calculated according to the set of operation influencing indicators, and a first charging pile influencing indicator corresponding to each charging pile node is output.

[0047] Furthermore, the impact indicator analysis module 5 is also used to perform the following method: Acquire multiple extreme weather test samples; acquire healthy operation data change samples of the charging pile to be tested; perform an impact test on the charging pile under each extreme weather test sample in the multiple extreme weather test samples to acquire a test operation data change sample; compare the healthy operation data change sample with the test operation data change sample, and use the factor with a change rate greater than a preset change rate as an impact factor set corresponding to the extreme weather test sample, and output multiple impact factor sets corresponding to the multiple extreme weather test samples respectively; construct the factor matching library according to the correspondence between the multiple extreme weather test samples and the multiple impact factor sets.

[0048] Furthermore, the impact indicator analysis module 5 is also used to perform the following method: According to the connection relationship of the two-layer topology network, identify the device subnetwork directly connected to each charging pile node, wherein each node of the device subnetwork corresponds to a directly connected device; according to the two-layer operation monitoring data set, extract the operation monitoring data set of each connected device; perform an impact analysis on the operation monitoring data set of each connected device, and output the device impact index of each connected device; perform a concomitant impact analysis on each charging pile node according to the device impact index of each connected device, and obtain the second charging pile impact index corresponding to each charging pile node.

[0049] Furthermore, the impact indicator analysis module 5 is also used to perform the following method: According to the device impact index of each connected device, each charging pile node is subjected to accompanying impact analysis, including power supply capacity impact, communication stability impact and device safety impact; according to the power supply capacity impact, communication stability impact and device safety impact, calculations are performed to output the second charging pile impact index corresponding to each charging pile node.

[0050] Furthermore, the impact indicator analysis module 5 is also used to perform the following method: According to the connection relationship of the two-layer topology network, an indirect device indirectly connected to each charging pile node is identified, wherein the step length of the indirect connection is 1; and the device subnetwork directly connected to each charging pile node is updated according to the indirect device.

[0051] Furthermore, the impact indicator analysis module 5 is also used to perform the following method: Configure multiple protection levels, each protection level corresponds to an impact interval; analyze the comprehensive charging pile impact index of each charging pile according to the multiple protection levels to determine the matching protection level of each charging pile; and perform protection processing in order from large to small according to the matching protection level of each charging pile.

[0052] It should be noted that the above-mentioned sequence of the embodiments of the present application is only for description and does not represent the advantages and disadvantages of the embodiments. And the above-mentioned specific embodiments of this specification are described. The processes depicted in the accompanying drawings do not necessarily require the specific order and continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0053] The above description is only a preferred embodiment of the present application and is not intended to limit the present application. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present application shall be included in the protection scope of the present application.

[0054] This specification and drawings are merely exemplary illustrations of the present application and are deemed to cover any and all modifications, variations, combinations or equivalents within the scope of the present application. Obviously, a person skilled in the art may make various modifications and variations to the present application without departing from the scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the present application and its equivalents, the present application intends to include these modifications and variations.

Claims

1. A charging pile protection method for extreme weather, characterized in that: The method comprises: Constructing a charging pile topology network, wherein each node of the charging pile topology network corresponds to a charging pile; Constructing a connection device topology network, wherein each node of the connection device topology network corresponds to a connection device, and the connection device is a device that has a connection relationship with the charging pile; Connecting the charging pile topology network and the connection device topology network to generate a double-layer topology network; Using the double-layer topology network to conduct real-time monitoring, obtain current extreme weather information and double-layer operation monitoring data sets; Inputting the extreme weather information and the double-layer operation monitoring data set into the charging pile hierarchical protection model to perform impact index analysis and generate a charging pile hierarchical protection strategy; The charging pile hierarchical protection strategy is used to perform hierarchical protection on each charging pile in the charging pile topology network.

2. The method according to claim 1, characterized in that The extreme weather information and the double-layer operation monitoring data set are input into the charging pile hierarchical protection model to perform impact index analysis, the method comprising: Analyze the extreme weather information and the double-layer operation monitoring data set according to the charging pile hierarchical protection model to obtain a first charging pile impact index and a second charging pile impact index corresponding to each charging pile node; The first charging pile impact index is the degree to which the charging pile itself is affected by extreme weather, and the second charging pile impact index is the accompanying impact index on the charging pile after the connected device is affected by extreme weather; generating a comprehensive charging pile impact index according to the first charging pile impact index and the second charging pile impact index; A charging pile graded protection strategy is generated based on the comprehensive charging pile impact index.

3. The method according to claim 2, characterized in that Obtaining a first charging pile impact index corresponding to each charging pile node, the method comprising: Input the extreme weather information into a factor matching library for analysis to determine a set of influencing factors, wherein the set of influencing factors is the factors corresponding to the impact of extreme weather on the charging pile; Extracting an operation monitoring data set for each charging pile according to the two-layer operation monitoring data set; Analyze the operation monitoring data set of each charging pile according to the influencing factor set to obtain an operation influencing indicator set corresponding to each charging pile and the influencing factor set; Information entropy calculation is performed according to the operation impact indicator set, and a first charging pile impact indicator corresponding to each charging pile node is output.

4. The method according to claim 3, characterized in that The method for constructing the factor matching library comprises: Obtain multiple extreme weather test samples; Obtain healthy operation data change samples of the charging pile to be tested; Performing an impact test on the charging pile under each extreme weather test sample among the multiple extreme weather test samples to obtain a test operation data change sample; Compare the healthy operation data change sample with the test operation data change sample, take the factor with a change rate greater than a preset change rate as the influencing factor set corresponding to the extreme weather test sample, and output multiple influencing factor sets corresponding to the multiple extreme weather test samples respectively; The factor matching library is constructed according to the correspondence between the multiple extreme weather test samples and the multiple influencing factor sets.

5. The method according to claim 2, characterized in that Obtaining a second charging pile influence index corresponding to each charging pile node, the method comprising: According to the connection relationship of the two-layer topology network, identify the device sub-network directly connected to each charging pile node, wherein each node of the device sub-network corresponds to a directly connected device; Extracting an operation monitoring data set for each connected device according to the two-layer operation monitoring data set; Perform impact analysis on the operation monitoring data set of each connected device and output the device impact index of each connected device; Perform accompanying impact analysis on each charging pile node according to the device impact index of each connected device, and obtain a second charging pile impact index corresponding to each charging pile node.

6. The method according to claim 5, characterized in that Conduct accompanying impact analysis on each charging pile node based on the device impact index of each connected device, including the impact on power supply capacity, communication stability, and device safety; Calculation is performed based on the power supply capacity impact, communication stability impact and equipment safety impact, and a second charging pile impact index corresponding to each charging pile node is output.

7. The method according to claim 5, characterized in that Identifying a device subnetwork directly connected to each charging pile node, the method further comprising: According to the connection relationship of the two-layer topology network, identifying an indirect device indirectly connected to each charging pile node, wherein the step length of the indirect connection is 1; The device sub-network directly connected to each charging pile node is updated according to the indirect device.

8. The method according to claim 2, characterized in that According to the comprehensive charging pile impact index, a charging pile hierarchical protection strategy is generated, and the method includes: Configure multiple protection levels, each level of protection corresponds to an impact range; Analyze the comprehensive charging pile impact index of each charging pile according to the multi-level protection level to determine the matching protection level of each charging pile; The protection treatment is performed in sequence from high to low according to the matching protection level of each charging pile.

9. Charging pile protection system for extreme weather, characterized by: The steps for implementing the charging pile protection method for extreme weather according to any one of claims 1 to 8 include: Charging pile topology network construction module: constructing a charging pile topology network, wherein each node of the charging pile topology network corresponds to a charging pile; A connection device topology network construction module: constructs a connection device topology network, wherein each node of the connection device topology network corresponds to a connection device, and the connection device is a device that has a connection relationship with the charging pile; Topology network connection module: connects the charging pile topology network and the connection device topology network to generate a double-layer topology network; Real-time monitoring module: using the double-layer topology network to perform real-time monitoring, obtain current extreme weather information and double-layer operation monitoring data sets; Impact index analysis module: inputs the extreme weather information and the double-layer operation monitoring data set into the charging pile hierarchical protection model to perform impact index analysis and generate a charging pile hierarchical protection strategy; Hierarchical protection module: hierarchical protection is performed on each charging pile of the charging pile topology network according to the charging pile hierarchical protection strategy.

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