A power charging pile data security protection risk assessment method

Abstract

The application relates to a power charging pile data security protection risk assessment method, which comprises the following steps: determining the working state of a charging pile as a charging test mode, testing and charging the charging pile, and obtaining test power data; dividing a preset historical time period into a first historical time period and a second historical time period, and respectively obtaining charging power data in the first historical time period and the second historical time period; obtaining historical power data according to the charging power data in the first historical time period and the second historical time period; obtaining a historical difference factor according to the difference between the test power data and the historical power data, obtaining a rated difference factor according to the ratio of the test power data to preset rated power data of the charging pile, and obtaining a risk assessment value according to the historical difference factor and the rated difference factor; and determining the danger level of the charging pile according to the risk assessment value and a preset risk interval. Therefore, the safety and reliability of the charging pile are more comprehensively improved according to differentiated historical data and rated data.

Description

Technical Field

[0001] This invention relates to the field of vehicle charging pile technology, and more specifically to a method for risk assessment of data security protection of electric charging piles. Background Technology

[0002] Ensuring the safety of electric vehicle charging stations is of profound significance to the development of new energy vehicles. Specifically, the safety of charging stations is crucial in three aspects: firstly, ensuring stable charging for electric vehicles to guarantee their range; secondly, preventing damage to electric vehicles to ensure vehicle and driving safety for users; and thirdly, ensuring the safety of charging station use to prevent users from being injured, resulting in property damage or even death. Therefore, both car manufacturers and professional charging station R&D and manufacturing companies need to conduct regular safety inspections of users' charging stations.

[0003] Existing methods for testing electric vehicle charging stations sometimes involve remote monitoring to read relevant power data from the charging stations and using this data as the basis for safety testing. While this saves on the cost of on-site personnel visits, there are many uncertainties in data transmission, data collection, and actual judgment. Therefore, the reliability of the final test results is questionable, and if the test results are incorrect, it could lead to serious harm. Summary of the Invention

[0004] This invention addresses the technical problems existing in the prior art by providing a method for assessing the data security protection risks of electric charging piles. Based on differentiated historical data and rated data, it comprehensively improves the safety and reliability of charging piles.

[0005] The technical solution of this invention to solve the above-mentioned technical problems is as follows: A method for risk assessment of data security protection of power charging piles, the method comprising:

[0006] S101, the working status of the charging pile is set to charging test mode, the charging pile is tested and charged, and test power data is obtained.

[0007] S102, the preset historical time period is divided into a first historical time period and a second historical time period, and the charging power data in the first historical time period and the second historical time period are obtained respectively;

[0008] S103, obtain historical power data based on the charging power data in the first historical period and the second historical period;

[0009] S104. The historical difference factor is obtained based on the difference between the test power data and the historical power data. The rated difference factor is obtained based on the ratio between the test power data and the rated power data preset by the charging pile. The risk assessment value is obtained based on the historical difference factor and the rated difference factor.

[0010] S105. Based on the risk assessment value and the preset risk range, determine the hazard level of the charging pile. If the risk assessment value is greater than the upper limit of the risk range, the hazard level is determined to be high-risk; if the risk assessment value is less than the lower limit of the risk range, the hazard level is determined to be safe; otherwise, the hazard level is determined to be medium-risk.

[0011] Preferably, the charging pile is equipped with a charging test mode, which is used to test the charging pile within a preset test time period, and to obtain the power data within the test time period. The average value of all the power data is then taken to obtain the test power data corresponding to the test time period.

[0012] The test power data is set to any one of the following: electrical parameters, temperature parameters, and electrical protection operation parameters.

[0013] Preferably, the first historical period is set as a short period within a preset historical time period where the power data has high reference value, and the second historical period is set as a low-time period within a preset historical time period where the power data has low reference value but still has reference value.

[0014] Preferably, step S103 specifically includes: averaging the charging power data within the first historical time period and the second historical time period to obtain first power data and second power data, and calculating the historical power data according to the following formula:

[0015] Q c =e1×Q1+e2×Q2, where Q c The data represents historical electricity data. Q1 is the first electricity data, and Q2 is the second electricity data. e1 and e2 are the weight values ​​of the first and second electricity data on the historical electricity data, respectively. e1 is greater than e2, and e1+e2=1.

[0016] Preferably, the risk assessment value obtained based on the historical difference value and the nominal difference value is specifically obtained according to the following formula:

[0017] K = x1 × k1 + x2 × k2, Where K is the risk assessment value, Q is the test power data, and Q c For historical electricity data, Q e The data is the rated power data, k1 is the historical difference factor, k2 is the rated difference factor, x1 and x2 are the weight values ​​of the impact of historical difference value and rated difference value on the risk assessment value, respectively, x1 is less than x2, and x1+x2=1.

[0018] Preferably, the method for acquiring charging power data in S102 further includes:

[0019] Based on the time attributes corresponding to the pre-set time interval, the time attributes of the test time period are obtained, and charging power data with the same time attributes as the test time period are filtered out from the first historical time period and the second historical time period respectively.

[0020] Based on the historical operating time patterns of charging piles and the time characteristics of the natural environment, several time intervals are obtained, each time interval corresponding to a time attribute. The time attributes include operating time attributes and seasonal time attributes. The operating time attributes include peak charging period and off-peak charging period, and the seasonal time attributes include summer, winter, and other. The time attributes are divided into: summer peak charging period, summer off-peak charging period, winter peak charging period, winter off-peak charging period, other peak charging period, and other off-peak charging period.

[0021] Preferably, in step S104, obtaining the historical difference factor based on the difference between the test power data and historical power data further includes:

[0022] S201, based on the charging power data selected in the first historical period and the second historical period, calculate the first fluctuation characteristic value of the first historical period and the second fluctuation characteristic value of the second historical period, and based on all power data in the test period, calculate the test fluctuation characteristic value of the test period.

[0023] S202, the first and second fluctuation characteristic values ​​are weighted and summed to obtain the associated fluctuation characteristic value of the test fluctuation characteristic value;

[0024] S203, based on the test volatility characteristic value and the associated volatility characteristic value, the adjustment coefficient of the historical difference factor is calculated according to the following formula:

[0025]

[0026] Where r is the adjustment coefficient, w c To test the fluctuation characteristic value, w s These are the associated fluctuation characteristic values;

[0027] S204. Multiply the historical difference factor by the corresponding adjustment coefficient to obtain a new historical difference factor, which replaces the original historical difference factor.

[0028] Preferably, step S201 further includes:

[0029] The power data from the first historical period, the second historical period, and the test period are sorted according to the chronological order of their corresponding detection time nodes, and the test fluctuation characteristic value is obtained according to the following calculation formula:

[0030]

[0031] Among them, w c To test the fluctuation characteristic value, N is the total number of time points detected within the test period, and Q is... t Let Q be the power data at the t-th detection time point. t-1 This represents the power data at the (t-1)th detection time point.

[0032] Preferably, after step S105, the method further includes:

[0033] S106, Adjust the working status of the charging pile according to the hazard level of the charging pile;

[0034] The charging station's operating status also includes idle mode and active charging mode. The operating status of the charging station is adjusted according to its hazard level, specifically including:

[0035] S301 If the hazard level is high, a maintenance or repair notice will be sent and the charging station will be placed in idle mode; if the hazard level is medium or safe, the working status will be adjusted to the formal charging mode when a charging application is received, and placed in idle mode when no charging application is received.

[0036] S302, when the charging pile is in the formal charging mode, the actual power data is periodically acquired every preset time period, and steps S102 to S104 are executed to replace the test power data and test time period with the actual power data and the preset time period corresponding to the cycle, so as to obtain the actual risk assessment value within the cycle.

[0037] S303 If the actual risk assessment value within a certain period is detected to be greater than the risk threshold or if the duration of the formal charging mode is detected to reach the maximum charging time preset by the charging pile, then the formal charging mode is paused, the working state of the charging pile is switched to the test charging mode, and steps S101 to S106 are repeated.

[0038] Preferably, the charging piles are all set with initial safety parameters at the factory, including a preset maximum charging time and preset rated power data. The method further includes:

[0039] After each charging mode test at the charging station is completed, the initial safety parameters are multiplied by the corresponding adjustment index according to the preset hazard level-adjustment index relationship to obtain new safety parameters that replace the original initial safety parameters.

[0040] The relationship between hazard level and adjustment index includes: when the hazard level is medium, the adjustment index is 0.8; when the hazard level corresponding to the next test charging mode is safe, the initial safety parameters of the charging pile will be switched to the initial safety parameters corresponding to the factory settings.

[0041] The S303 further includes:

[0042] S401, obtain the actual risk assessment value of the charging pile during all cycles in the continuous formal charging mode, and obtain the risk situation value according to the following formula:

[0043]

[0044] Where L is the risk status value, and M is the total number of cycles in the continuous formal charging mode of the charging pile. m L represents the actual risk assessment value in the m-th period. m-1 This represents the actual risk assessment value within the (m-1)th period;

[0045] S402, multiply the risk situation value by the current initial safety parameters of the charging pile to obtain new safety parameters to replace the original initial safety parameters.

[0046] The beneficial effects of this invention are:

[0047] This avoids the problem of relying solely on test power data to judge the safety risks of charging piles, which leads to a single criterion and poor reliability. It comprehensively considers the differences between actual test data, historical power data, and rated power data, thereby quantifying the current risk assessment value of the charging pile. This allows for a more comprehensive evaluation of the charging performance of the charging pile. The classification of hazard levels provides a more intuitive safety assessment result, which helps to promptly identify and address potential safety hazards of the charging pile, further ensuring the reliability and accuracy of the safety test results.

[0048] By introducing time attributes and fluctuation characteristic values, the charging performance of charging piles is differentiated according to their historical data for different charging periods, thereby improving the matching degree between the current actual power data and the historical power data measurement standards. The difference between the fluctuation of historical power data and the fluctuation of the current test period is considered, and the historical difference factor is dynamically adjusted to make the risk assessment more comprehensive and accurate.

[0049] By testing the appropriate switching between charging mode, regular charging mode, and idle mode, it can be ensured that the test charging mode is only used when safety testing is required, and that the test charging mode will not cause substantial damage to new energy vehicles. At the same time, it verifies the performance and safety reliability of the charging pile, providing strong safety assurance for the operation of the regular charging mode.

[0050] It not only relies on the fixed initial safety parameters at the factory, but also takes into account the actual risk assessment values ​​and changes in the charging environment during actual formal charging mode operation, providing a stronger guarantee for the safe operation of charging piles. Attached Figure Description

[0051] Figure 1 This is a flowchart illustrating the risk assessment method for data security protection of electric charging piles according to an embodiment of the present invention. Detailed Implementation

[0052] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0053] In the description of this application, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the stated features. In the description of this application, "multiple" means two or more, unless otherwise explicitly specified.

[0054] In the description of this application, the term "for example" is used to mean "used as an example, illustration, or description." Any embodiment described as "for example" in this application is not necessarily to be construed as being more preferred or advantageous than other embodiments. The following description is provided to enable any person skilled in the art to make and use the invention. Details are set forth in the following description for purposes of explanation. It should be understood that those skilled in the art will recognize that the invention can be made without using these specific details. In other instances, well-known structures and processes will not be described in detail to avoid obscuring the description of the invention with unnecessary detail. Therefore, the invention is not intended to be limited to the embodiments shown, but is consistent with the broadest scope of the principles and features disclosed in this application.

[0055] Example 1: Figure 1 This is a flowchart illustrating the risk assessment method for data security protection of power charging piles according to an embodiment of the present invention.

[0056] like Figure 1 As shown, a method for assessing the data security protection risks of electric charging piles includes the following steps:

[0057] S101, the working state of the charging pile is set to charging test mode, the charging pile is tested and charged, and test power data is obtained.

[0058] Specifically, the charging pile is equipped with a charging test mode, which is used to test the charging pile within a preset test time period (which can be set according to the actual situation, for example, 15 minutes) and obtain the power data within the test time period. The average value of all power data can be taken to obtain the test power data corresponding to the test time period, or the power data detected at the last time node in the test time period can be determined as the test power data corresponding to the test time period.

[0059] The test power data is set to any one of the following: electrical parameters, temperature parameters, and electrical protection operation parameters. The electrical parameters are any one of current, voltage, and power.

[0060] S102, the preset historical time period is divided into a first historical time period and a second historical time period, and the charging power data in the first historical time period and the second historical time period are obtained respectively.

[0061] Specifically, the preset historical time period can be set to the past 6 months, and its length can be adjusted according to actual conditions. The first historical time period is set as a short period with high reference value for power data, i.e., a high-timeliness period. The second historical time period is set as a low-timeliness period with low but still relevant power data. The closer the power data is to the current time, the higher its reference value. Therefore, the first historical time period is determined by starting from the end of the historical time period and working backwards. For example, if the length of the first historical time period is set to one month, then the remaining part of the historical time period is determined as the second historical time period, with a length of five months. It should be noted that the lengths of the historical time period, the first historical time period, and the second historical time period can be adjusted according to actual conditions; the above is just an example.

[0062] S103, obtain historical power data based on the charging power data in the first historical period and the second historical period.

[0063] Specifically, the charging power data for the first historical period and the second historical period are averaged to obtain the first power data and the second power data, respectively. The historical power data is then calculated using the following formula:

[0064] Q c =e1×Q1+e2×Q2, where Q c The data is historical electricity data, Q1 is the first electricity data, Q2 is the second electricity data, e1 and e2 are the influence weight values ​​of the first electricity data and the second electricity data on the historical electricity data, respectively, and e1 is greater than e2, e1+e2=1. For example, e1 is set to 0.8 and e2 is set to 0.2.

[0065] Therefore, by comprehensively considering and differentiating power data from different time periods within a historical timeframe, more comprehensive historical power data can be obtained, thereby improving the accuracy of subsequent risk assessments.

[0066] S104. The historical difference factor is obtained based on the difference between the test power data and the historical power data. The rated difference factor is obtained based on the ratio between the test power data and the rated power data preset by the charging pile. The risk assessment value is obtained based on the historical difference factor and the rated difference factor.

[0067] The risk assessment value is obtained based on the historical difference value and the nominal difference value, specifically as follows:

[0068] K = x1 × k1 + x2 × k2, Where K is the risk assessment value, Q is the test power data, and Q c For historical electricity data, Q e The data is the rated power data, k1 is the historical difference factor, k2 is the rated difference factor, and x1 and x2 are the weight values ​​of the impact of historical difference value and rated difference value on the risk assessment value, respectively. These values ​​can be set according to the actual safety of the charging pile. Historical difference value may reflect potential safety risks, so it is given a lower impact weight value. Rated difference value may reflect the performance problems of the charging pile or equipment aging, so it is given a higher impact weight value. x1 is less than x2, and x1+x2=1.

[0069] S105 determines the hazard level of the charging pile based on the risk assessment value and the preset risk range.

[0070] Specifically, if the risk assessment value is greater than the upper limit of the risk range, the charging pile is determined to be high-risk; if the risk assessment value is less than the lower limit of the risk range, the charging pile is determined to be safe; otherwise, the charging pile is determined to be medium-risk.

[0071] This avoids the problem of relying solely on test power data to judge the safety risks of charging piles, which leads to a single criterion and poor reliability. By comprehensively considering the differences between actual test data, historical power data, and rated power data, the current risk assessment value of the charging pile is quantified, enabling a more comprehensive evaluation of the charging performance. The classification of hazard levels provides a more intuitive safety assessment result, which helps to promptly identify and address potential safety hazards in charging piles, further ensuring the reliability and accuracy of safety test results.

[0072] Example 2: In Example 1, although actual test data, historical power data, and rated power data were comprehensively considered, there is a certain fluctuation pattern in all power data within a certain time period. That is, the fluctuation pattern of power data during the charging process. A well-functioning charging pile will inevitably have a healthy fluctuation pattern. Therefore, when comparing test power data with historical power data, simply averaging all power data will inevitably have obvious defects. On the other hand, the charging power data of a charging pile will inevitably be affected by various factors, resulting in different measurement standards, such as seasonal changes and working time patterns, all of which will affect the performance of the charging pile. Therefore, the charging pattern of differentiated charging piles is extremely important, and different measurement standards will inevitably lead to different determinations of risk assessment values.

[0073] In some embodiments, the method for obtaining charging power data in step S102 further includes:

[0074] Based on the time attributes corresponding to the pre-set time interval, the time attributes of the test time period are obtained, and charging power data with the same time attributes as the test time period are filtered out from the first historical time period and the second historical time period respectively.

[0075] Specifically, based on the historical operating time patterns of charging piles and the time characteristics of the natural environment, several time intervals are obtained, each corresponding to a time attribute. These time attributes include operating time period attributes and seasonal time attributes. The operating time period attribute includes peak charging periods and off-peak charging periods, while the seasonal time attribute includes summer, winter, and other. Therefore, the time attributes are divided into: Summer Peak Charging Period, Summer Off-Peak Charging Period, Winter Peak Charging Period, Winter Off-Peak Charging Period, Other Peak Charging Periods, and Other Off-Peak Charging Periods.

[0076] It should be noted that the pre-set time intervals and their corresponding time attribute labels are determined based on the historical charging data of the charging piles and their corresponding historical charging time periods. For example, nearly a year's worth of historical charging data is labeled with time attributes. Based on all the time attributes within that year, the year is divided into several time intervals, with each time interval corresponding to a time attribute. For example, the time interval with the time attribute "summer charging peak period" can be set to 6 PM to 11 PM in July and August.

[0077] Specifically, the time interval into which the test period falls is determined, and the time attributes of the test period are obtained, so as to more accurately match the test power data with historical power data.

[0078] In some embodiments, step S104, which obtains the historical difference factor based on the difference between the test power data and the historical power data, further includes:

[0079] S201, based on the charging power data selected in the first historical period and the second historical period, calculate the first fluctuation characteristic value of the first historical period and the second fluctuation characteristic value of the second historical period, and based on all power data in the test period, calculate the test fluctuation characteristic value of the test period.

[0080] Specifically, the power data within the first historical period, the second historical period, and the test period are sorted according to the chronological order of their corresponding detection time nodes. Taking the test period as an example, the test fluctuation characteristic value is obtained according to the following calculation formula:

[0081]

[0082] Among them, w c To test the fluctuation characteristic value, N is the total number of time points detected within the test period, and Q is... t Let Q be the power data at the t-th detection time point. t-1 This represents the power data at the (t-1)th detection time point.

[0083] Similarly, the calculation methods for the first and second fluctuation characteristic values ​​of the first and second historical periods can refer to the above formula, and will not be elaborated upon in this invention.

[0084] S202, the first and second fluctuation characteristic values ​​are weighted and summed to obtain the associated fluctuation characteristic value of the test fluctuation characteristic value.

[0085] It should be noted that the influence weight values ​​corresponding to the first fluctuation characteristic value and the second fluctuation characteristic value are set to e1 and e2, respectively.

[0086] S203, based on the test volatility characteristic value and the associated volatility characteristic value, the adjustment coefficient of the historical difference factor is calculated according to the following formula:

[0087]

[0088] Where r is the adjustment coefficient, w c To test the fluctuation characteristic value, w s These are the associated fluctuation characteristic values.

[0089] S204. Multiply the historical difference factor by the corresponding adjustment coefficient to obtain a new historical difference factor, which replaces the original historical difference factor.

[0090] In summary, by introducing time attributes, historical power data with the same time attributes as the test period are selected, improving the accuracy and relevance of data matching; by calculating fluctuation characteristic values, the fluctuation of power data over time series is quantified, making risk assessment more comprehensive and accurate; by adjusting coefficients to correct historical difference factors, the difference between the fluctuation of historical power data and the fluctuation of the current test period is considered, and the risk assessment standards are dynamically adjusted.

[0091] Therefore, by introducing time attributes and fluctuation characteristic values, the charging performance corresponding to different charging periods is differentiated based on the historical data of the charging pile, thereby improving the matching degree between the current actual power data and the historical power data measurement standards. The difference between the fluctuation of historical power data and the fluctuation of the current test period is taken into account, and the historical difference factor is dynamically adjusted, making the risk assessment more comprehensive and accurate.

[0092] Example 3: In the aforementioned examples, there was no reliable decision-making basis for determining the working state of the test charging mode. An automated control system for the charging pile to perform test charging was lacking. Furthermore, the charging pile was not integrated with the test charging mode during the actual charging process. Relying solely on a single test result inevitably poses safety hazards during subsequent long-term charging. The charging pile may encounter various abnormal situations during prolonged charging, such as abnormal power data fluctuations or excessively long charging times. These situations could lead to damage to the charging pile or cause safety accidents. Therefore, it is necessary to manage the working state of the charging pile in real time and switch to the test charging mode for further testing and evaluation when necessary.

[0093] In some embodiments, after step S105, the method further includes:

[0094] S106, Adjust the working status of the charging pile according to the hazard level of the charging pile.

[0095] Specifically, the operating states of charging piles also include idle mode and active charging mode. The operating state of the charging pile is adjusted according to its hazard level, including:

[0096] S301 If the hazard level is high, a maintenance or repair notification will be sent, and the charging station will be placed in idle mode; if the hazard level is medium or safe, the working status will be adjusted to the formal charging mode when a charging application is received, and placed in idle mode when no charging application is received.

[0097] S302, when the charging pile is in the formal charging mode, the actual power data is periodically acquired every preset time period, and steps S102 to S104 are executed to replace the test power data and test time period with the actual power data and the preset time period corresponding to the cycle, so as to obtain the actual risk assessment value within the cycle.

[0098] Therefore, by conducting real-time monitoring and periodic risk assessment of charging piles in the formal charging mode, a reliable control basis is provided for the subsequent linkage control switching between the test charging mode and the formal charging mode and idle mode.

[0099] S303 If the actual risk assessment value within a certain period is detected to be greater than the risk threshold or if the duration of the formal charging mode is detected to reach the maximum charging time preset by the charging pile, then the formal charging mode is paused, the working state of the charging pile is switched to the test charging mode, and steps S101 to S106 are repeated.

[0100] It should be noted that the implementation of the charging test mode of the charging pile may include: using a dedicated test line to connect the charging pile for testing, or using a software simulation tool to connect the charging pile for testing, or using specially configured test equipment to connect the charging pile for testing. This invention does not limit or elaborate on these methods.

[0101] Therefore, by appropriately switching between test charging mode, formal charging mode, and idle mode, it can be ensured that test charging mode is only used when safety testing is required, and that test charging mode will not cause substantial damage to new energy vehicles. At the same time, the performance and safety reliability of the charging pile are verified, providing strong safety assurance for the operation of formal charging mode.

[0102] By introducing a switching mechanism for different working states of charging piles, as well as a periodic monitoring mechanism based on actual risk assessment values, the working states can be switched in a timely manner to avoid potential risks, significantly improving the safety and reliability of charging piles.

[0103] Example 4: In Example 3, the performance of a charging pile may change depending on the charging environment during long-term use. If the fixed safety parameters (rated power data, maximum charging time) are used continuously, they may not be suitable for the current actual performance of the charging pile, thus creating potential risks.

[0104] In some embodiments, each charging pile is equipped with initial safety parameters at the factory, including a preset maximum charging time and preset rated power data. The method further includes:

[0105] After each charging mode test at the charging station is completed, the initial safety parameters are multiplied by the corresponding adjustment index according to the preset hazard level-adjustment index relationship to obtain new safety parameters that replace the original initial safety parameters.

[0106] The relationship between hazard level and adjustment index includes: when the hazard level is medium, the adjustment index is 0.8. Additionally, when the hazard level corresponding to the next test charging mode is safe, the initial safety parameters of the charging station will be switched to the factory-set initial safety parameters.

[0107] In some embodiments, step S303 further includes:

[0108] S401, obtain the actual risk assessment value of the charging pile during all cycles in the continuous formal charging mode, and obtain the risk situation value according to the following formula:

[0109]

[0110] Where L is the risk status value, and M is the total number of cycles in the continuous formal charging mode of the charging pile. m L represents the actual risk assessment value in the m-th period. m-1 This represents the actual risk assessment value within the (m-1)th period.

[0111] S402, multiply the risk situation value by the current initial safety parameters of the charging pile to obtain new safety parameters to replace the original initial safety parameters.

[0112] Therefore, in addition to relying on the fixed initial safety parameters at the factory, the system also incorporates actual risk assessment values ​​and changes in the charging environment during actual formal charging operation, providing stronger guarantees for the safe operation of charging piles. By introducing a dynamic adjustment mechanism for safety parameters, it ensures that the safety operating parameters of the charging pile can be adjusted in a timely manner according to its performance status. The adjusted safety parameters are then used for subsequent calculations and charging control, improving the safety and adaptability of the charging pile. This allows for a more comprehensive consideration of the charging pile's performance status and safety requirements, providing stronger guarantees for its safe operation.

[0113] It should be noted that the descriptions of each embodiment in the above embodiments have different focuses. For parts that are not described in detail in a certain embodiment, please refer to the relevant descriptions in other embodiments.

[0114] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0115] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0116] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0117] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0118] Although preferred embodiments of the invention have been described, those skilled in the art, upon learning the basic inventive concept, can make other changes and modifications to these embodiments. Therefore, the appended claims are intended to be interpreted as including both the preferred embodiments and all changes and modifications falling within the scope of the invention.

[0119] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims of this invention and their equivalents, this invention also intends to include these modifications and variations.

Claims

1. A power charging pile data security protection risk assessment method, characterized in that, The method includes: S101, Set the charging pile's working state to charging test mode, perform test charging on the charging pile, and obtain test power data; S102, Divide the preset historical time period into a first historical period and a second historical period, and obtain the charging power data within the first historical period and the second historical period respectively; Obtain the time attribute of the test period according to the time attribute corresponding to the preset time interval, and filter out the charging power data with the same time attribute as the test period from the first historical period and the second historical period respectively; S103, Obtain historical power data based on the charging power data within the first historical period and the second historical period; S104, Based on... The difference between test power data and historical power data is used to obtain the historical difference factor, which also includes: S201, calculating the first fluctuation characteristic value of the first historical period and the second fluctuation characteristic value of the second historical period based on the charging power data selected in the first and second historical periods, and calculating the test fluctuation characteristic value of the test period based on all power data in the test period; S202, performing a weighted summation of the first and second fluctuation characteristic values ​​to obtain the associated fluctuation characteristic value of the test fluctuation characteristic value; S203, calculating the adjustment coefficient of the historical difference factor based on the test fluctuation characteristic value and the associated fluctuation characteristic value according to the following formula: r is the adjustment factor. To test the fluctuation characteristic value, For the correlation fluctuation characteristic value; S204, multiply the historical difference factor by the corresponding adjustment coefficient to obtain a new historical difference factor, replacing the original historical difference factor; obtain the rated difference factor based on the ratio of the test power data to the preset rated power data of the charging pile, and obtain the risk assessment value based on the historical difference factor and the rated difference factor: K=x1×k1+x2× k1= k2= Where K is the risk assessment value. To test power data, Historical electricity data, For rated power data, k1 is the historical difference factor, k2 is the rated difference factor, and x1 and x2 are the weight values ​​of the impact of historical difference value and rated difference value on the risk assessment value, respectively. x1 is less than x2, and x1+x2=1; S105, based on the risk assessment value and the preset risk range, determine the danger level of the charging pile. If the risk assessment value is greater than the upper limit of the risk range, the danger level is determined to be high-risk; if the risk assessment value is less than the lower limit of the risk range, the danger level is determined to be safe; otherwise, the danger level is determined to be medium-risk.

2. The method for risk assessment of data security protection of power charging piles according to claim 1, characterized in that, The charging pile is equipped with a charging test mode, which is used to test the charging pile within a preset test time period, and to obtain the power data within the test time period. The average value of all the power data is then taken to obtain the test power data corresponding to the test time period. The test power data is set to any one of the following: electrical parameters, temperature parameters, and electrical protection operation parameters. 3.The method of claim 1, wherein, The first historical period is set as a short period within a preset historical time period where the power data has high reference value, and the second historical period is set as a low-time period within a preset historical time period where the power data has low reference value but still has reference value.

4. The power charging pile data security protection risk assessment method according to claim 1, characterized in that, S103 specifically includes: averaging the charging power data in the first historical time period and the second historical time period respectively to obtain the first power data and the second power data, and calculating the historical power data according to the following formula: =e1×Q1+e2×Q2, where, The data represents historical electricity data. Q1 is the first electricity data, and Q2 is the second electricity data. e1 and e2 are the weight values ​​of the first and second electricity data on the historical electricity data, respectively. e1 is greater than e2, and e1+e2=1.

5. The power charging pile data security protection risk assessment method according to claim 4, characterized in that, The method for acquiring charging power data in S102 also include: Based on the historical operating time patterns of charging piles and the time characteristics of the natural environment, several time intervals are obtained, each time interval corresponding to a time attribute. The time attributes include operating time attributes and seasonal time attributes. The operating time attributes include peak charging period and off-peak charging period, and the seasonal time attributes include summer, winter, and other. The time attributes are divided into: summer peak charging period, summer off-peak charging period, winter peak charging period, winter off-peak charging period, other peak charging period, and other off-peak charging period.

6. The power charging pile data security protection risk assessment method according to claim 5, characterized in that, S201 further includes: The power data from the first historical period, the second historical period, and the test period are sorted according to the chronological order of their corresponding detection time nodes, and the test fluctuation characteristic value is obtained according to the following calculation formula: in, To test the fluctuation characteristic value, This represents the total number of time nodes detected within the test period. For the power data at the t-th detection time point, This represents the power data at the (t-1)th detection time point.

7. The power charging pile data security protection risk assessment method according to claim 1, characterized in that, Following S105, the method further includes: S106, Adjust the working status of the charging pile according to the hazard level of the charging pile; The charging station's operating status also includes idle mode and active charging mode. The operating status of the charging station is adjusted according to its hazard level, specifically including: S301 If the hazard level is high, a maintenance or repair notice will be sent and the charging station will be placed in idle mode; if the hazard level is medium or safe, the working status will be adjusted to the formal charging mode when a charging application is received, and placed in idle mode when no charging application is received. S302, when the charging pile is in the formal charging mode, the actual power data is periodically acquired every preset time period, and steps S102 to S104 are executed to replace the test power data and test time period with the actual power data and the preset time period corresponding to the cycle, so as to obtain the actual risk assessment value within the cycle. S303 If the actual risk assessment value within a certain period is detected to be greater than the risk threshold or if the duration of the formal charging mode is detected to reach the maximum charging time preset by the charging pile, then the formal charging mode is paused, the working state of the charging pile is switched to the test charging mode, and steps S101 to S106 are repeated.

8. The power charging pile data security protection risk assessment method according to claim 7, characterized in that, The charging piles are all set with initial safety parameters at the factory, including preset maximum charging time and preset rated power data. The method also includes: After each charging mode test at the charging station is completed, the initial safety parameters are multiplied by the corresponding adjustment index according to the preset hazard level-adjustment index relationship to obtain new safety parameters that replace the original initial safety parameters. The relationship between hazard level and adjustment index includes: when the hazard level is medium, the adjustment index is 0.8; when the hazard level corresponding to the next test charging mode is safe, the initial safety parameters of the charging pile will be switched to the initial safety parameters corresponding to the factory settings. The S303 further includes: S401, obtain the actual risk assessment value of the charging pile during all cycles in the continuous formal charging mode, and obtain the risk situation value according to the following formula: Wherein, L is a risk situation value, M is the total number of all periods in the continuous formal charging mode of the charging pile, is an actual risk assessment value in the mth period, is an actual risk assessment value in the m-1th period; S402, multiply the risk situation value by the current initial safety parameters of the charging pile to obtain new safety parameters to replace the original initial safety parameters.

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