Full-life-cycle monitoring method, system and device for charging facility and storage medium

Abstract

The invention provides a full-life-cycle monitoring method, system and device for a charging facility and a storage medium, and relates to the technical field of charging facility operation and maintenance, and the method comprises the steps: determining the remaining use time of a charging pile according to the used time of the charging pile; according to the use data of the charging pile in the used duration, generating a correction coefficient, and according to the correction coefficient, adjusting the remaining use duration to generate a first remaining use duration; according to the environment parameters of the environment where the charging pile is located, generating an environment adjustment coefficient, and according to the environment adjustment coefficient, adjusting the first remaining use duration to generate a second remaining use duration; according to the operation data of other charging piles in the used duration, calculating a mutual interference coefficient according to the operation data; and according to the mutual interference coefficient, adjusting the second remaining use duration, and generating a target remaining use duration. The method has the technical effect that the deviation between the prediction result and the actual residual life is reduced.

Description

Technical Field

[0001] The present application relates to the technical field of charging facility monitoring and operation and maintenance, and particularly relates to a full life cycle monitoring method, system, device and storage medium for charging facilities. Background Art

[0002] With the rapid development of the new energy vehicle industry, the large-scale deployment of charging facilities has become an important support for the industry development. During the operation of charging facilities, accurately predicting the remaining service life of charging piles is of great significance for equipment maintenance and renewal planning.

[0003] In the prior art, usually based on the standard service life of the charging pile, combined with the operation duration and usage intensity of the charging pile to predict the remaining service life of the charging pile. Although the above method can meet the basic prediction of the remaining service life of the charging pile, it ignores various dynamic influencing factors existing during the use of the charging pile, resulting in a large deviation between the prediction result and the actual remaining life. Summary of the Invention

[0004] The present application provides a full life cycle monitoring method, system, device and storage medium for charging facilities, which is used to reduce the deviation between the prediction result and the actual remaining life.

[0005] In a first aspect, the present application provides a full life cycle monitoring method for charging facilities. The method includes: based on the standard service life of the charging pile, determining the remaining service duration of the charging pile according to the used duration of the charging pile; obtaining the usage data of the charging pile during the used duration, generating a correction coefficient according to the usage data, and adjusting the remaining service duration according to the correction coefficient to generate a first remaining service duration; obtaining the environmental parameters of the environment where the charging pile is located during the used duration, generating an environment adjustment coefficient according to the environmental parameters, and adjusting the first remaining service duration according to the environment adjustment coefficient to generate a second remaining service duration; calculating an interference coefficient according to the operation data of other charging piles during the used duration, where the other charging piles are the charging piles connected to the same distribution transformer as the charging pile; and adjusting the second remaining service duration according to the interference coefficient to generate a target remaining service duration.

[0006] By adopting the above technical solution, on the basis of the standard service life of the charging pile, a correction coefficient is generated by combining the actual usage data of the charging pile, an environmental adjustment coefficient is generated by environmental parameters, and a mutual interference coefficient is calculated based on the operation data of other charging piles under the same distribution transformer, so as to adjust the remaining service life in multiple dimensions and at multiple levels. Finally, a more accurate target remaining service life is obtained, effectively improving the accuracy and reliability of the remaining life prediction of the charging facilities and reducing the deviation between the prediction result and the actual remaining life.

[0007] Optionally, the usage data includes the number of charging times and the average charging amount per charging. The generating of the correction coefficient according to the usage data includes: calculating a first difference between the number of charging times and the standard number of charging times, and generating a first correction coefficient according to the first difference; calculating a second difference between the average charging amount and the rated charging capacity, and generating a second correction coefficient according to the second difference; and performing weighted summation on the first correction coefficient and the second correction coefficient to generate a correction coefficient.

[0008] By adopting the above technical solution, a first correction coefficient and a second correction coefficient are respectively generated by the first difference between the number of charging times and the standard number of charging times and the second difference between the average charging amount and the rated charging capacity, and the correction coefficient is obtained by performing weighted summation on the two correction coefficients, realizing a comprehensive quantitative evaluation of the usage intensity of the charging pile. It not only considers the influence of the charging frequency on the equipment life, but also reflects the effect of the charging load on the equipment loss, making the correction coefficient more objectively reflect the actual usage condition of the charging pile, thereby improving the accuracy of the remaining service life prediction.

[0009] Optionally, the adjusting of the remaining service life according to the correction coefficient to generate a first remaining service life includes: arithmetically multiplying the correction coefficient by the remaining service life to generate a first remaining service life.

[0010] By adopting the above technical solution, a first remaining service life is obtained by arithmetically multiplying the correction coefficient by the remaining service life, realizing a linear adjustment of the usage intensity to the remaining life. The adjustment process of the remaining service life is simple and intuitive, with high calculation efficiency, and can accurately reflect the influence degree of the actual usage intensity of the charging pile on its remaining life.

[0011] Optionally, generating an environment adjustment coefficient according to the environmental parameters includes: determining, according to the environmental parameters, a first duration during which the temperature of the environment where the charging pile is located exceeds a first preset temperature and a second duration during which the temperature is lower than a second preset temperature within the used duration, where the first preset temperature is greater than the second preset temperature; determining a temperature influence coefficient of the charging pile according to the sum of the first duration and the second duration; determining, according to the environmental parameters, a third duration during which the humidity of the environment where the charging pile is located exceeds a third preset humidity and a fourth duration during which the humidity is lower than a fourth preset humidity within the used duration, where the third preset humidity is greater than the fourth preset humidity; determining a humidity influence coefficient of the charging pile according to the sum of the third duration and the fourth duration; determining an influence level of the environment on the charging pile from a preset database according to the magnitudes of the temperature influence coefficient and the humidity influence coefficient, and generating an environment adjustment coefficient according to the influence level.

[0012] By adopting the above technical solution, by counting the durations during which the environmental temperature exceeds the first preset temperature and is lower than the second preset temperature, and the durations during which the environmental humidity exceeds the third preset humidity and is lower than the fourth preset humidity, the temperature influence coefficient and the humidity influence coefficient are respectively determined, and based on these two influence coefficients, the environmental influence level is determined from the preset database, and then the environment adjustment coefficient is generated, realizing the accurate statistics and quantitative evaluation of the operation duration of the charging pile in an extreme temperature and humidity environment, so that the influence of environmental factors on the service life of the charging pile can be more accurately reflected in the calculation of the remaining service duration.

[0013] Optionally, adjusting the first remaining service duration according to the environment adjustment coefficient to generate a second remaining service duration includes: arithmetically multiplying the environment adjustment coefficient by the first remaining duration to generate the second remaining service duration.

[0014] By adopting the above technical solution, by arithmetically multiplying the environment adjustment coefficient by the first remaining service duration to obtain the second remaining service duration, the direct linear adjustment of the environmental factors to the remaining life is realized, so that the environmental influence can be quantified into the calculation of the remaining service duration in a simple and clear manner, ensuring both the high efficiency of the calculation process and the accurate reflection of the influence of environmental factors on the service life of the charging pile.

[0015] Optionally, calculating the mutual interference coefficient according to the operation data includes: obtaining a first charging duration of the other charging piles within the used duration and a second charging duration of the charging pile within the used duration; calculating an overlapping duration between the first charging duration and the second charging duration; obtaining a power ratio of the total charging power of the other charging piles to the rated power of the distribution transformer within the overlapping duration, and determining a power occupancy coefficient according to the power ratio; generating a mutual interference coefficient according to the power occupancy coefficient, where the power occupancy coefficient is positively correlated with the mutual interference coefficient.

[0016] By adopting the above technical solution, by calculating the overlapping situation of the charging durations of the charging pile and other charging piles, and determining the power occupancy coefficient based on the ratio of the total charging power of the other charging piles to the rated power of the distribution transformer within the overlapping duration, and then generating a mutual interference coefficient that is positively correlated with the power occupancy coefficient, the accurate quantification of the load superposition effect during the parallel operation of multiple charging piles under the same distribution transformer is realized, and the actual influence degree of the mutual influence between the charging piles on the equipment life is effectively reflected.

[0017] Optionally, adjusting the second remaining usage duration according to the mutual interference coefficient to generate a target remaining usage duration includes: determining a decay duration corresponding to the mutual interference coefficient; subtracting the decay duration from the second remaining usage duration to obtain the target remaining usage duration.

[0018] By adopting the above technical solution, determining the decay duration based on the mutual interference coefficient and subtracting the decay duration from the second remaining usage duration to obtain the target remaining usage duration realizes the quantitative deduction of the influence of the mutual interference between the charging piles on the equipment life, so that the final remaining life prediction result can accurately reflect the actual loss influence of the load superposition effect during the parallel operation of multiple charging piles on the equipment life.

[0019] In a second aspect, the present application provides a full-life cycle monitoring system for a charging facility, the system including: a determination module, a first adjustment module, a second adjustment module, a calculation module, and a third adjustment module; where, The determining module is configured to determine the remaining service life of the charging pile based on the standard service life of the charging pile and the used duration of the charging pile; the first adjustment module is configured to obtain the usage data of the charging pile during the used duration, generate a correction coefficient according to the usage data, and adjust the remaining service life according to the correction coefficient to generate a first remaining service life; the second adjustment module is configured to obtain the environmental parameters of the environment where the charging pile is located during the used duration, generate an environment adjustment coefficient according to the environmental parameters, and adjust the first remaining service life according to the environment adjustment coefficient to generate a second remaining service life; the calculation module is configured to calculate a mutual interference coefficient according to the operation data of other charging piles during the used duration, where the other charging piles are the charging piles connected to the same distribution transformer as the charging pile; the third adjustment module is configured to adjust the second remaining service life according to the mutual interference coefficient to generate a target remaining service life.

[0020] In a third aspect, the present application provides an electronic device, which adopts the following technical solution: including a processor, a memory, a user interface, and a network interface, where the memory is used to store instructions, the user interface and the network interface are used to communicate with other devices, and the processor is used to execute the instructions stored in the memory so that the electronic device executes a computer program of any one of the above-mentioned full life cycle monitoring methods of charging facilities.

[0021] In a fourth aspect, the present application provides a computer-readable storage medium, which adopts the following technical solution: storing a computer program that can be loaded and executed by a processor to execute any one of the above-mentioned full life cycle monitoring methods of charging facilities.

[0022] In summary, the present application includes at least one of the following beneficial technical effects: Based on the standard service life of the charging pile, a correction coefficient is generated by combining the actual usage data of the charging pile, an environment adjustment coefficient is generated by combining the environmental parameters, and a mutual interference coefficient is calculated based on the operation data of other charging piles under the same distribution transformer, and the remaining service life is adjusted in multiple dimensions and at multiple levels, and finally a more accurate target remaining service life is obtained, effectively improving the accuracy and reliability of the prediction of the remaining life of the charging facility and reducing the deviation between the prediction result and the actual remaining life. Description of the Drawings

[0023] Figure 1 is a schematic flowchart of a full life cycle monitoring method of a charging facility provided by an embodiment of the present application; Figure 2 is a schematic structural diagram of a full life cycle monitoring system of a charging facility provided by an embodiment of the present application; Figure 3 It is a schematic structural diagram of an electronic device provided by an embodiment of the present application.

[0024] Explanation of reference numerals: 1000, electronic device; 1001, processor; 1002, communication bus; 1003, user interface; 1004, network interface; 1005, memory. Specific embodiments

[0025] In order to enable those skilled in the art to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below with reference to the accompanying drawings in the embodiments of this specification. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all of the embodiments.

[0026] In the description of the embodiments of the present application, words such as "exemplary", "for example" or "for illustration" are used to represent examples, illustrations or explanations. Any embodiment or design solution described as "exemplary", "for example" or "for illustration" in the embodiments of the present application should not be construed as being more preferred or having more advantages than other embodiments or design solutions. Rather, the words "exemplary", "for example" or "for illustration" are used to present related concepts in a specific manner.

[0027] Figure 1 It is a schematic flowchart of a full life cycle monitoring method for a charging facility provided by an embodiment of the present application. As Figure 1 shown, the method includes S101 - S105: S101, based on the standard service life of the charging pile, determine the remaining service life of the charging pile according to the used duration of the charging pile.

[0028] As an important part of the electric vehicle charging infrastructure, the service life of the charging pile directly affects the reliability of charging services and operating costs. The standard service life refers to the expected duration during which the charging pile can operate normally under ideal usage environments and standard usage intensities, and is usually determined by the charging pile manufacturer based on design specifications and test data. For example, the standard service life of a certain model of charging pile is 10 years.

[0029] In this embodiment, the standard service life data of the charging pile can be obtained from the device file information of the charging pile. At the same time, the installation time of the charging pile is obtained through the operation management system of the charging pile, and the time difference between the current time and the installation time is determined as the used duration. By subtracting the used duration from the standard service life, the remaining service life of the charging pile can be obtained. For example, the standard service life of a certain charging pile is 10 years (equivalent to 87,600 hours), and the current used duration is 3 years (equivalent to 26,280 hours), then its remaining service life is 61,320 hours. This preliminary assessment based on the standard service life provides a reference value for subsequent life correction according to the actual usage situation, which helps the charging facility operator reasonably plan equipment maintenance and renewal and improve the operation efficiency of the charging infrastructure. However, due to the differences between the actual usage intensity, usage environment, and interference effects of the charging pile and the standard state, the accuracy of the remaining life assessment based solely on the standard service life is limited. Therefore, it is necessary to further adjust it by combining various influencing factors on this basis.

[0030] S102. Obtain the usage data of the charging pile within the used duration, generate a correction coefficient according to the usage data, and adjust the remaining service life according to the correction coefficient to generate the first remaining service life.

[0031] Specifically, first calculate the first difference between the number of charging times and the standard number of charging times. The standard number of charging times refers to the expected number of charging times of the charging pile within the used duration, which can be determined according to the charging pile design specification. For example, a certain charging pile has been used for 3 years, and the actual number of charging times within these 3 years is 4,500 times, and the expected number of charging times is 3,600 times. Then calculate the first difference: actual number of charging times - expected number of charging times = 4,500 - 3,600 = 900 times. In this example, the first difference is positive (900 times), indicating that the usage frequency of the charging pile within the 3 years of use is higher than expected. Therefore, the generated first correction coefficient should be less than 1 and is used to reduce the remaining service life; when the first difference is negative, it indicates that the usage frequency of the charging pile is lower than expected, and the first correction coefficient is greater than 1 and is used to increase the remaining service life.

[0032] At the same time, calculate the second difference between the average charging amount and the rated charging capacity. The rated charging capacity refers to the product of the designed charging power of the charging pile and the standard charging duration. For example, if the actual average charging amount of the charging pile is 80 kWh and the rated charging capacity is 60 kWh, then the second difference is 20 kWh. Generate a second correction coefficient according to the magnitude of the second difference. When the second difference is positive, it indicates that the charging load is higher than the designed value, and the second correction coefficient is less than 1; when the second difference is negative, it indicates that the charging load is lower than the designed value, and the second correction coefficient is greater than 1.

[0033] The first correction coefficient and the second correction coefficient are weighted and summed to generate a final correction coefficient. Among them, the corresponding weight coefficients can be set according to the influence degrees of the charging times and the average charging amount on the charging pile life. For example, if the first correction coefficient is 0.9, the weight is 0.6, the second correction coefficient is 0.8, and the weight is 0.4, then the final correction coefficient is 0.9×0.6 + 0.8×0.4 = 0.86.

[0034] Finally, the correction coefficient is arithmetically multiplied by the remaining service life obtained in S101 to generate a first remaining service life. For example, if the original remaining service life is 84 months and the correction coefficient is 0.86, then the first remaining service life is 72.24 months.

[0035] Based on the above embodiments, as an optional implementation manner, in S102, the usage data includes the charging times and the average charging amount per charge. According to the usage data, generating the correction coefficient specifically includes S21 - S23: S21, calculate the first difference between the charging times and the standard charging times, and generate a first correction coefficient according to the first difference.

[0036] The standard charging times refers to the expected charging times of the charging pile within the used service life, which can be determined according to the charging pile design specifications. For example, a certain charging pile has been used for 3 years, the actual charging times within these 3 years is 4500 times, and the expected charging times is 3600 times. Then calculate the first difference: actual charging times - expected charging times = 4500 - 3600 = 900 times. Since the first difference is 900, the monthly average difference can be obtained as: 900 ÷ 36 months = 25 times / month. Based on the monthly average difference, generate the first correction coefficient according to the preset correction rule: when the monthly average difference is within the range of 0 - 15 times / month, the first correction coefficient takes the value of 1.0; when the monthly average difference is within the range of 16 - 30 times / month, the first correction coefficient takes the value of 0.9; when the monthly average difference is within the range of 31 - 45 times / month, the first correction coefficient takes the value of 0.8; when the monthly average difference exceeds 45 times / month, the first correction coefficient takes the value of 0.7; when the monthly average difference is less than 0 times / month, the first correction coefficient takes the value of 1.1.

[0037] S22, calculate the second difference between the average charging amount and the rated charging capacity, and generate a second correction coefficient according to the second difference.

[0038] The rated charging capacity refers to the designed value of the single - charge amount of the charging pile under standard charging conditions, which is determined by the rated power and the standard charging duration of the charging pile. For example, if the rated charging capacity of a certain charging pile is 60 kWh and the actual average charging amount is 75 kWh, then the second difference is 15 kWh. Similarly, according to the magnitude of the second difference, a second correction factor is generated in a similar segmented manner: when the second difference is within the range of - 10 to 10 kWh, the second correction factor takes a value of 0.95 - 1.05; when the second difference is within the range of 11 to 20 kWh, the second correction factor takes a value of 0.85 - 0.95; when the second difference exceeds 20 kWh, the second correction factor takes a value of 0.7 - 0.85; when the second difference is less than - 10 kWh, the second correction factor takes a value of 1.05 - 1.15.

[0039] S23, perform a weighted sum of the first correction factor and the second correction factor to generate a correction factor.

[0040] The first correction factor and the second correction factor are weighted and summed to generate a final correction factor. The setting of the weights needs to consider the relative importance of the charging frequency and the charging load on the life of the charging pile. Generally speaking, the influence of the charging frequency on the life of the charging pile is slightly greater than that of the charging load. Therefore, the weight of the first correction factor can be set to 0.6, and the weight of the second correction factor can be set to 0.4. The specific method for determining the weight coefficient depends on the actual situation. For example, if the first correction factor is 0.9 and the second correction factor is 0.85, then the final correction factor is 0.9×0.6 + 0.85×0.4 = 0.88.

[0041] Based on the above - mentioned embodiment, as an alternative embodiment, in S102, adjusting the remaining service duration according to the correction factor to generate the first remaining service duration specifically includes: arithmetically multiplying the correction factor by the remaining service duration to generate the first remaining service duration.

[0042] S103, obtain the environmental parameters of the environment where the charging pile is located during the used duration, generate an environmental adjustment factor according to the environmental parameters, and adjust the first remaining service duration according to the environmental adjustment factor to generate the second remaining service duration.

[0043] In this embodiment, since the charging pile is usually installed in an outdoor environment, its working performance and service life will be significantly affected by environmental factors. To accurately evaluate the impact of the environment on the life of the charging pile, it is necessary to obtain the environmental parameters of the environment where the charging pile is located during the used duration through an environmental monitoring system, mainly including temperature and humidity data. These environmental parameters are collected in real - time by sensors installed around the charging pile and recorded and stored regularly.

[0044] In terms of temperature impact assessment, first determine the first duration during which the temperature of the environment where the charging pile is located exceeds the first preset temperature within the used duration, and the second duration during which it is lower than the second preset temperature. Among them, the first preset temperature is usually set at 40°C, and the second preset temperature is usually set at -10°C. These two temperature values are determined based on the temperature tolerance characteristics of the electronic components of the charging pile. For example, during the 36 months of use of a certain charging pile, the cumulative duration (i.e., the first duration) during which the environmental temperature exceeds 40°C is 360 hours, and the cumulative duration (i.e., the second duration) during which it is lower than -10°C is 240 hours. Determine the temperature impact coefficient of the charging pile according to the proportion of the sum of the first duration and the second duration (600 hours in this example) in the used duration.

[0045] In terms of humidity impact assessment, it is also necessary to determine the third duration during which the environmental humidity exceeds the third preset humidity, and the fourth duration during which it is lower than the fourth preset humidity. Among them, the third preset humidity is usually set at 85%RH, and the fourth preset humidity is usually set at 20%RH. These two humidity values are determined based on the protection level of the charging pile and the reliability requirements of the components. For example, during the used duration, the cumulative duration (i.e., the third duration) during which the environmental humidity exceeds 85%RH is 480 hours, and the cumulative duration (i.e., the fourth duration) during which it is lower than 20%RH is 120 hours. Determine the humidity impact coefficient of the charging pile according to the proportion of the sum of the third duration and the fourth duration (600 hours in this example) in the used duration.

[0046] The system will determine the impact level of the environment on the charging pile from the preset database according to the magnitudes of the temperature impact coefficient and the humidity impact coefficient. Different combinations of temperature impact coefficients and humidity impact coefficients and their corresponding impact levels are stored in the preset database. For example, it can be divided into three levels: slight impact, moderate impact, and severe impact. Each impact level corresponds to a preset environmental adjustment coefficient. The more severe the impact degree, the smaller the environmental adjustment coefficient. For example, when it is determined to be a moderate impact, the corresponding environmental adjustment coefficient is 0.9.

[0047] The construction of the preset database is mainly based on the following data sources and analysis methods: First, use the component reliability data provided by the charging pile equipment manufacturer as a basic reference. Key components in the charging pile, such as power modules, control circuits, communication modules, etc., all have their working environment specification requirements. For example, data such as the performance curves of power modules at different temperatures and the failure rates of electronic components in different humidity environments. These data come from the laboratory test results and long-term use statistics of component manufacturers.

[0048] Secondly, statistical analysis is carried out through a large amount of historical data of actually operating charging piles. For example, the corresponding relationship between the failure rate and environmental conditions of charging piles of the same model operating in different climate regions. Specifically, samples of charging piles operating in different environments such as typical cold regions in the north, humid regions in the south, and high-salt coastal regions can be selected, and their operation data and failure records can be collected to analyze the correlation between environmental factors and equipment life.

[0049] Thirdly, data support is obtained through accelerated aging tests. Under laboratory conditions, environmental stress tests such as high temperature, low temperature, high humidity, and temperature-humidity cycling are carried out on the charging piles, and the laws of equipment performance degradation and failure occurrence are recorded. For example, running continuously for 100 hours in a high-temperature environment of 40°C, the conversion relationship of the equivalent running time in a normal-temperature environment is used to establish a quantitative relationship between environmental stress and life loss.

[0050] Based on the above data, the preset database adopts the following structural design: Temperature impact assessment matrix: When the proportion of abnormal temperature duration is less than 5%: Slight impact, the temperature impact coefficient ranges from 0.95 to 1.0; When the proportion of abnormal temperature duration is 5% - 15%: Moderate impact, the temperature impact coefficient ranges from 0.85 to 0.95; When the proportion of abnormal temperature duration is greater than 15%: Severe impact on temperature, the coefficient ranges from 0.7 to 0.85, where the abnormal temperature duration = the first duration + the second duration.

[0051] Humidity impact assessment matrix: When the proportion of abnormal humidity duration is <8%: Slight impact, the humidity impact coefficient ranges from 0.95 to 1.0; When the proportion of abnormal humidity duration is 8% - 20%: Moderate impact, the humidity impact coefficient ranges from 0.85 to 0.95; When the proportion of abnormal humidity duration is >20%: Severe impact, the humidity impact coefficient ranges from 0.7 to 0.85, where the abnormal humidity duration = the third duration + the fourth duration.

[0052] Comprehensive impact level determination table: Combine the impact degrees of temperature and humidity to form a determination matrix of 9 situations. For example: Slight temperature + slight humidity: Comprehensive impact is slight, and the value range of the final environmental adjustment coefficient is 0.95 - 1.0; Severe temperature + severe humidity: Comprehensive impact is severe, and the value range of the final environmental adjustment coefficient is 0.6 - 0.7. The calculation method of the final environmental adjustment coefficient is as follows: First, take the middle values of the respective ranges of the temperature impact coefficient (T) and the humidity impact coefficient (H), and perform weighted calculation according to the temperature weight of 0.6 and the humidity weight of 0.4 to obtain the preliminary weighted value W = T×0.6 + H×0.4; Then, introduce an adjustment coefficient K according to the combination of impact levels: When both temperature and humidity have slight impacts, K = 0; When one is slight and the other is moderate, K = 0.02; When one is slight and the other is severe, K = 0.05; When both are moderate, K = 0.05; When one is moderate and the other is severe, K = 0.08; When both are severe, K = 0.1. The final environmental adjustment coefficient E = W - K, and on the basis of E, it fluctuates up and down by 0.05 to form the value range. For example, when the temperature is slight (T = 0.975) + the humidity is slight (H = 0.975), W = 0.975, K = 0, and finally E = 0.975, and the value range is 0.95 - 1.0; When the temperature is severe (T = 0.775) + the humidity is severe (H = 0.775), W = 0.775, K = 0.1, and finally E = 0.675, and the value range is 0.6 - 0.7. This calculation method fully considers the impact degree of a single environmental factor, the weight difference of different factors, and the synergistic effect of multiple adverse environmental factors, ensuring the scientificity and rationality of the environmental adjustment coefficient.

[0053] Finally, arithmetically multiply the environmental adjustment coefficient by the first remaining usage duration obtained in S102 to generate the second remaining usage duration. For example, if the first remaining usage duration is 72.24 months and the environmental adjustment coefficient is 0.9, then the second remaining usage duration is 65.02 months.

[0054] Based on the above embodiments, as an optional implementation manner, in S103, generating the environmental adjustment coefficient according to the environmental parameters specifically includes S31 - S35: S31, according to the environmental parameters, determine the first duration during which the temperature of the environment where the charging pile is located exceeds the first preset temperature and the second duration during which it is lower than the second preset temperature within the used duration, where the first preset temperature is greater than the second preset temperature.

[0055] The system analyzes the temperature condition of the environment where the charging pile is located within the used duration based on the environmental monitoring data of the charging pile. Among them, the first preset temperature is usually set at 40°C, and the second preset temperature is set at -10°C. These two temperature values are critical values determined according to the working environment adaptability index of the charging pile. The system will count the cumulative duration (i.e., the first duration) when the environmental temperature exceeds 40°C and the cumulative duration (i.e., the second duration) when it is lower than -10°C. For example, within the 36-month duration of a certain charging pile in use, the cumulative time when the environmental temperature exceeds 40°C is 720 hours (the first duration), and the cumulative time when it is lower than -10°C is 480 hours (the second duration).

[0056] S32. Determine the temperature influence coefficient of the charging pile according to the sum of the first duration and the second duration.

[0057] The system determines the temperature influence coefficient according to the proportion of the sum of the first duration and the second duration in the used duration. For example, when the proportion of the total abnormal temperature duration is below 5%, the temperature influence coefficient takes a value of 0.95 - 1.0; when the proportion is between 5% - 15%, the value is 0.85 - 0.95; when the proportion exceeds 15%, the value is 0.7 - 0.85. In the above example, the total abnormal temperature duration is 1200 hours, accounting for about 5.5% of the total 36-month duration, and the corresponding temperature influence coefficient may be 0.92.

[0058] S33. Determine the third duration when the environmental humidity where the charging pile is located exceeds the third preset humidity and the fourth duration when it is lower than the fourth preset humidity within the used duration according to the environmental parameters, where the third preset humidity is greater than the fourth preset humidity.

[0059] The system also needs to analyze the environmental humidity condition. The third preset humidity is usually set at 85%RH, and the fourth preset humidity is set at 20%RH. These two humidity values are also determined based on the working environment adaptability index of the charging pile. The system will count the cumulative duration (i.e., the third duration) when the environmental humidity exceeds 85%RH and the cumulative duration (i.e., the fourth duration) when it is lower than 20%RH. For example, within the same period, the cumulative time when the environmental humidity exceeds 85%RH is 960 hours (the third duration), and the cumulative time when it is lower than 20%RH is 360 hours (the fourth duration).

[0060] S34. Determine the humidity influence coefficient of the charging pile according to the sum of the third duration and the fourth duration.

[0061] The system determines the humidity impact coefficient based on the total proportion of the third duration and the fourth duration. The correspondence between the proportion of abnormal humidity duration and the impact coefficient is similar to the case of temperature: when the proportion is below 8%, the humidity impact coefficient takes a value of 0.95 - 1.0; when the proportion is between 8% - 20%, the value is 0.85 - 0.95; when the proportion exceeds 20%, the value is 0.7 - 0.85. In the above example, the total abnormal humidity duration is 1320 hours, accounting for about 6.1%, and the corresponding humidity impact coefficient may be 0.96.

[0062] S35. According to the magnitudes of the temperature impact coefficient and the humidity impact coefficient, determine the environmental impact level on the charging pile from a preset database, and generate an environmental adjustment coefficient based on the impact level.

[0063] The system determines the environmental impact level by querying a preset database according to the magnitudes of the temperature impact coefficient and the humidity impact coefficient. The preset database stores the environmental impact levels corresponding to different combinations of temperature impact coefficients and humidity impact coefficients. For example, when both impact coefficients are greater than 0.95, it is determined as a minor impact; when one of the impact coefficients is between 0.85 - 0.95, it is determined as a moderate impact; when any impact coefficient is less than 0.85, it is determined as a severe impact. Different environmental impact levels correspond to different ranges of environmental adjustment coefficients: minor impact corresponds to 0.95 - 1.0, moderate impact corresponds to 0.85 - 0.95, and severe impact corresponds to 0.7 - 0.85. In the above example, the temperature impact coefficient is 0.92 and the humidity impact coefficient is 0.96, corresponding to the moderate impact level, and the final environmental adjustment coefficient may take a value of 0.90.

[0064] Based on the above embodiments, as an alternative embodiment, in S103, adjusting the first remaining usage duration according to the environmental adjustment coefficient to generate the second remaining usage duration specifically includes: arithmetically multiplying the environmental adjustment coefficient by the first remaining duration to generate the second remaining usage duration.

[0065] S104. According to the operation data of other charging piles during the used duration, calculate the interference coefficient based on the operation data; the other charging piles are the charging piles connected to the same distribution transformer as the charging pile.

[0066] In this embodiment, since multiple charging piles are usually connected under the same distribution transformer, these charging piles will generate an electric load superposition effect when operating simultaneously, resulting in changes in the working conditions of each charging pile and thus affecting its service life. To accurately evaluate this interference impact, it is necessary to analyze the operation data of other charging piles connected to the same distribution transformer as the target charging pile. Among them, the distribution transformer is a device that converts the grid voltage into the working voltage of the charging pile, and its rated power determines the total charging load that can be supported simultaneously.

[0067] Specifically, first, it is necessary to obtain the first charging duration of other charging piles within the used duration, and the second charging duration of the target charging pile within the used duration. Here, the charging duration refers to the time period when the charging pile actually charges the electric vehicle. For example, there are two charging piles, A and B, connected under a certain distribution transformer, where A is the target charging pile. In the past month, the cumulative charging duration (i.e., the first charging duration) of charging pile B is 300 hours, and the cumulative charging duration (i.e., the second charging duration) of charging pile A is 250 hours.

[0068] Next, the system calculates the overlapping duration of the first charging duration and the second charging duration, that is, the time period when multiple charging piles charge simultaneously. By analyzing the timestamps of the charging pile operation logs, the duration of this overlapping operation can be accurately calculated. For example, the duration when the above-mentioned charging piles A and B work simultaneously within a month (i.e., the overlapping duration) is 150 hours.

[0069] After determining the overlapping duration, the system obtains the total charging power of other charging piles within the overlapping duration and calculates its ratio to the rated power of the distribution transformer, that is, the power ratio. The power ratio refers to the proportion of the total charging power of other charging piles within the overlapping duration to the rated power of the distribution transformer. The calculation formula is: Power ratio = Total charging power of other charging piles within the overlapping duration ÷ Rated power of the distribution transformer. For example, if the rated power of the distribution transformer is 400 kW and the average charging power of charging pile B within the overlapping duration is 240 kW, then the power ratio is 0.6. Based on this power ratio, the power occupancy coefficient is determined. The power occupancy coefficient reflects the degree of occupancy of the transformer capacity by other charging piles and directly affects the power supply quality of the target charging pile.

[0070] Finally, an interference coefficient is generated based on the power occupancy coefficient, and the two are in a positive correlation. Specifically, it can be determined through the following corresponding relationship: When the power occupancy coefficient is below 0.3, the value range of the interference coefficient is 0.95 - 1.0; when the power occupancy coefficient is between 0.3 - 0.6, the value range of the interference coefficient is 0.85 - 0.95; when the power occupancy coefficient is above 0.6, the value range of the interference coefficient is 0.7 - 0.85. For example, when the power occupancy coefficient is 0.6, the corresponding interference coefficient may be 0.85.

[0071] Based on the above embodiments, as an alternative embodiment, in S104, calculating the interference coefficient according to the operation data specifically includes S41 - S44: S41, obtain the first charging duration of other charging piles within the used duration, and the second charging duration of the charging pile within the used duration.

[0072] The system needs to obtain the first charging duration of other charging piles connected to the same distribution transformer as the target charging pile during the used duration, and the second charging duration of the target charging pile during the same time period. The charging duration refers to the cumulative time during which the charging pile actually provides charging services for electric vehicles. For example, there are three charging piles A, B, and C connected to a distribution transformer, where A is the target charging pile. In the past 36 months, the cumulative charging durations (i.e., the first charging durations) of charging piles B and C are 8000 hours and 7500 hours respectively, and the cumulative charging duration (i.e., the second charging duration) of charging pile A is 7800 hours.

[0073] S42. Calculate the overlapping duration of the first charging duration and the second charging duration.

[0074] When analyzing the mutual interference effect, it is necessary to consider the overlapping working durations of different combinations of charging piles: the overlapping working duration of A and B is 5000 hours, the overlapping working duration of A and C is 4800 hours, and the overlapping duration of A working simultaneously with B and C is 3000 hours. Therefore, the total duration of charging pile A working simultaneously with at least one other charging pile is (5000 + 4800 - 3000) = 6800 hours. This means that out of the 7800-hour cumulative charging duration of charging pile A, 6800 hours are completed while working simultaneously with other charging piles, accounting for 87.2%.

[0075] S43. Obtain the power ratio of the total charging power of other charging piles during the overlapping duration to the rated power of the distribution transformer, and determine the power occupancy factor according to the power ratio.

[0076] The system obtains the total charging power of other charging piles during the overlapping duration and calculates its ratio to the rated power of the distribution transformer, i.e., the power ratio. For example, the rated power of the distribution transformer is 500 kW, and during the overlapping duration, the average total charging power of charging piles B and C is 350 kW, then the power ratio is 0.7. According to the magnitude of the power ratio, the system determines the power occupancy factor: when the power ratio is below 0.4, the power occupancy factor takes a value of 0.2 - 0.4; when the power ratio is between 0.4 - 0.7, the power occupancy factor takes a value of 0.4 - 0.7; when the power ratio is above 0.7, the power occupancy factor takes a value of 0.7 - 0.9. In the above example, the power occupancy factor corresponding to the power ratio of 0.7 can be 0.7.

[0077] S44. Generate a mutual interference factor according to the power occupancy factor, and the power occupancy factor is positively correlated with the mutual interference factor.

[0078] The system generates an interference coefficient based on the power occupancy factor, and there is a positive correlation between the two. Specifically, when the power occupancy factor is in the range of 0.2 - 0.4, the interference coefficient takes values from 0.95 - 1.0, indicating a relatively small interference effect; when the power occupancy factor is in the range of 0.4 - 0.7, the interference coefficient takes values from 0.85 - 0.95, indicating a medium-level interference effect; when the power occupancy factor is in the range of 0.7 - 0.9, the interference coefficient takes values from 0.7 - 0.85, indicating a relatively large interference effect. In the above example, the interference coefficient corresponding to a power occupancy factor of 0.7 may be 0.85.

[0079] S105, adjust the second remaining usage duration according to the interference coefficient to generate a target remaining usage duration.

[0080] In this embodiment, since the interference between charging piles will cause the accelerated aging of the equipment, it is necessary to finally adjust the second remaining usage duration according to the interference coefficient. This adjustment reflects the actual impact of parallel operation of multiple charging piles on the equipment life and helps to obtain a more accurate life prediction result.

[0081] Specifically, it is first necessary to determine the corresponding decay duration according to the interference coefficient. The decay duration refers to the life loss caused by the interference effect, and its magnitude has a corresponding relationship with the interference coefficient. By querying the pre-established decay duration comparison table, the decay duration corresponding to different interference coefficients can be determined. For example, when the interference coefficient is 0.85, the possible decay duration per year may be 1.2 months. The establishment of the comparison table is based on the statistical analysis of a large amount of actual operation data, fully considering the influence law of different levels of interference on the life of charging piles.

[0082] In the attenuation duration comparison table, the corresponding relationship between the mutual interference coefficient and the attenuation duration can be divided into the following intervals: First level: When the mutual interference coefficient is between 0.95 and 1.0, it indicates that the mutual interference effect is slight, and the annual attenuation duration is 0.5 - 0.8 months. This situation usually occurs in scenarios with low charging pile utilization or good off-peak usage effects. Second level: When the mutual interference coefficient is between 0.85 and 0.95, it indicates that the mutual interference effect is medium, and the annual attenuation duration is 0.8 - 1.2 months. This situation is common in the general state of daily operation. Third level: When the mutual interference coefficient is between 0.7 and 0.85, it indicates that the mutual interference effect is large, and the annual attenuation duration is 1.2 - 2.0 months. This situation usually occurs in scenarios with frequent use and heavy load of the charging station. Fourth level: When the mutual interference coefficient is between 0.5 and 0.7, it indicates that the mutual interference effect is severe, and the annual attenuation duration is 2.0 - 3.0 months. This situation may occur in scenarios where the distribution transformer is in long-term high-load operation. Fifth level: When the mutual interference coefficient is less than 0.5, it indicates that the mutual interference effect is extremely severe, and the annual attenuation duration is 3.0 - 4.0 months. This situation indicates that there may be problems with the design capacity or operation management of the charging station, and system optimization or capacity expansion and transformation need to be carried out in a timely manner.

[0083] In practical applications, in order to make the calculation of the attenuation duration more accurate, a linear interpolation method is used to determine the specific attenuation duration value within each interval. For example, when the mutual interference coefficient is 0.9, it is at the midpoint of the second-level interval (0.85 - 0.95), so the corresponding annual attenuation duration can take the median value of 1.0 month in this interval (0.8 - 1.2 months). This refined interval division and interpolation calculation method can more accurately reflect the loss of the charging pile life under different degrees of mutual interference effects.

[0084] At the same time, considering the usage scenarios in extreme cases, when the mutual interference coefficient is close to 0 (such as 0 - 0.1), the system will trigger an alarm mechanism to prompt the operator to conduct an emergency inspection and handling. In this case, the conventional calculation of the attenuation duration is no longer carried out, but special operation and maintenance measures need to be taken.

[0085] After determining the attenuation duration, subtract the attenuation duration from the second remaining service duration obtained in S103 to obtain the final target remaining service duration. For example, if the second remaining service duration is 65.02 months, the mutual interference coefficient is 0.85, the corresponding annual attenuation duration is 1.2 months, and the used duration is 36 months, then the total attenuation duration is 3.6 months (1.2 months / year × 3 years). Therefore, the target remaining service duration is 61.42 months (65.02 - 3.6).

[0086] Based on the above embodiments, as an alternative embodiment, in S105, adjusting the second remaining usage duration according to the mutual interference coefficient to generate the target remaining usage duration specifically includes S51 - S52: S51, determining the attenuation duration corresponding to the mutual interference coefficient.

[0087] The system determines the attenuation duration corresponding to the current mutual interference coefficient by querying a preset attenuation duration comparison table. The attenuation duration comparison table details the annual attenuation durations corresponding to different mutual interference coefficient ranges: when the mutual interference coefficient is between 0.95 - 1.0, the annual attenuation duration is 0.5 - 0.8 months, indicating a slight mutual interference effect; when the mutual interference coefficient is between 0.85 - 0.95, the annual attenuation duration is 0.8 - 1.2 months, indicating a medium mutual interference effect; when the mutual interference coefficient is between 0.7 - 0.85, the annual attenuation duration is 1.2 - 2.0 months, indicating a large mutual interference effect; when the mutual interference coefficient is between 0.5 - 0.7, the annual attenuation duration is 2.0 - 3.0 months, indicating a severe mutual interference effect; when the mutual interference coefficient is below 0.5, the annual attenuation duration is 3.0 - 4.0 months, indicating an extremely severe mutual interference effect. For example, when the mutual interference coefficient is 0.85, the annual attenuation duration obtained by the system querying the comparison table is 1.2 months. To obtain the total attenuation duration, the annual attenuation duration needs to be multiplied by the used years. Assuming the charging pile has been used for 36 months (3 years), the total attenuation duration is 3.6 months (1.2 months / year × 3 years).

[0088] S52, subtracting the attenuation duration from the second remaining usage duration to obtain the target remaining usage duration.

[0089] Subtract the calculated attenuation duration from the second remaining usage duration to obtain the final target remaining usage duration. For example, if the second remaining usage duration is 65.02 months and the total attenuation duration is 3.6 months, the target remaining usage duration is 61.42 months (65.02 - 3.6). This final result comprehensively considers the usage intensity, environmental impact, and mutual interference effect of the charging pile, and can more accurately reflect the actual remaining life of the charging pile.

[0090] Based on the above method, the present application also discloses a full - life - cycle monitoring system for charging facilities, as Figure 2 shown, Figure 2 is a schematic structural diagram of a full - life - cycle monitoring system for charging facilities provided by an embodiment of the present application. The system includes: a determination module, a first adjustment module, a second adjustment module, a calculation module, and a third adjustment module; wherein, A determination module is configured to determine the remaining service life of the charging pile based on the standard service life of the charging pile and the elapsed service time of the charging pile; a first adjustment module is configured to obtain the usage data of the charging pile during the elapsed service time, generate a correction coefficient according to the usage data, and adjust the remaining service life according to the correction coefficient to generate a first remaining service life; a second adjustment module is configured to obtain the environmental parameters of the environment where the charging pile is located during the elapsed service time, generate an environmental adjustment coefficient according to the environmental parameters, and adjust the first remaining service life according to the environmental adjustment coefficient to generate a second remaining service life; a calculation module is configured to calculate a mutual interference coefficient according to the operation data of other charging piles during the elapsed service time, where the other charging piles are the charging piles connected to the same distribution transformer as the charging pile; a third adjustment module is configured to adjust the second remaining service life according to the mutual interference coefficient to generate a target remaining service life.

[0091] It should be noted that when the system provided in the above embodiment realizes its functions, only the division of the above function modules is used for illustration. In actual applications, the above functions can be allocated to different function modules according to needs, that is, the internal structure of the device is divided into different function modules to complete all or part of the functions described above. In addition, the system and method embodiments provided in the above embodiments belong to the same concept, and the specific implementation process can be seen in the method embodiment, which will not be elaborated here.

[0092] Please refer to Figure 3 , which is a schematic structural diagram of an electronic device provided by an embodiment of the present application. As Figure 3 shown, the electronic device 1000 may include: at least one processor 1001, at least one network interface 1004, a user interface 1003, a memory 1005, and at least one communication bus 1002.

[0093] Among them, the communication bus 1002 is used to realize the connection and communication between these components.

[0094] Among them, the user interface 1003 may include a display screen (Display) and a camera (Camera). Optionally, the user interface 1003 may further include a standard wired interface and a wireless interface.

[0095] Among them, the network interface 1004 may optionally include a standard wired interface and a wireless interface (such as a WI-FI interface).

[0096] Among them, the processor 1001 may include one or more processing cores. The processor 1001 connects various parts within the entire server through various interfaces and lines. By running or executing instructions, programs, code sets, or instruction sets stored in the memory 1005, and by invoking the data stored in the memory 1005, it performs various functions of the server and processes data. Optionally, the processor 1001 may be implemented in at least one hardware form of digital signal processing (DSP), field-programmable gate array (FPGA), or programmable logic array (PLA). The processor 1001 may integrate one or a combination of several of a central processing unit (CPU), a graphics processing unit (GPU), and a modem, etc. Among them, the CPU mainly processes the operating system, user interface, application programs, etc.; the GPU is responsible for rendering and drawing the content to be displayed on the display screen; the modem is used to process wireless communications. It can be understood that the above-mentioned modem may not be integrated into the processor 1001 and may be implemented separately through a single chip.

[0097] Among them, the memory 1005 may include random access memory (RAM) and may also include read-only memory. Optionally, the memory 1005 includes a non-transitory computer-readable storage medium. The memory 1005 can be used to store instructions, programs, code, code sets, or instruction sets. The memory 1005 may include a program storage area and a data storage area. Among them, the program storage area may store instructions for implementing the operating system, instructions for at least one function (such as touch function, sound playback function, image playback function, etc.), instructions for implementing the above-mentioned various method embodiments, etc.; the data storage area may store the data involved in the above-mentioned various method embodiments. Optionally, the memory 1005 may further be at least one storage device located far from the aforementioned processor 1001. As Figure 3 shown, the memory 1005, as a computer storage medium, may include an operating system, a network communication module, a user interface module, and an application program for a full-life cycle monitoring method of a charging facility.

[0098] In Figure 3In the electronic device 1000 shown, the user interface 1003 is mainly used to provide an interface for the user to input and obtain the data input by the user; and the processor 1001 can be used to call an application program stored in the memory 1005 for a full life cycle monitoring method of a charging facility. When executed by one or more processors, the electronic device is caused to execute one or more of the methods as described in the above embodiments.

[0099] An electronic device-readable storage medium stores instructions. When executed by one or more processors, the electronic device is caused to execute one or more of the methods as described in the above embodiments.

[0100] It should be noted that, for the foregoing method embodiments, for simplicity of description, they are all expressed as a series of action combinations. However, those skilled in the art should know that this application is not limited by the described action sequence, because according to this application, certain steps can be in other sequences or performed simultaneously. Secondly, those skilled in the art should also know that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily essential to this application.

[0101] In the above embodiments, the descriptions of the various embodiments each have their own focuses. For the parts not detailed in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0102] In the several embodiments provided by this application, it should be understood that the disclosed device can be implemented in other ways. For example, the device embodiments described above are only illustrative. For example, the division of the units is only a logical function division. In actual implementation, there can be other division methods. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the displayed or discussed mutual coupling or direct coupling or communication connection can be through some service interfaces. The indirect coupling or communication connection of the device or unit can be in an electrical or other form.

[0103] The units described as separate components may or may not be physically separated. The components displayed as units may or may not be physical units, that is, they can be located in one place, or can be distributed to multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0104] In addition, in each embodiment of this application, the functional units can be integrated in a processing unit, or each unit can exist physically alone, or two or more units can be integrated in one unit. The above integrated units can be implemented in the form of hardware or in the form of software functional units.

[0105] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable memory. Based on this understanding, the technical solution of the present application, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a memory and includes several instructions to enable a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in various embodiments of the present application. The aforementioned memory includes: various media such as USB flash drives, mobile hard disks, magnetic disks, or optical discs that can store program codes.

[0106] The above are only exemplary embodiments of the present disclosure and should not be used to limit the scope of the present disclosure. That is, any equivalent changes and modifications made in accordance with the teachings of the present disclosure still fall within the scope covered by the present disclosure. Those skilled in the art will readily think of other implementation schemes of the present disclosure after considering the specification and practicing the present disclosure here. The present application aims to cover any variations, uses, or adaptive changes of the present disclosure, and these variations, uses, or adaptive changes follow the general principles of the present disclosure and include common general knowledge or conventional technical means in the technical field not described in the present disclosure. The specification and the embodiments are only regarded as exemplary, and the scope and spirit of the present disclosure are defined by the claims.

Claims

1. A method for monitoring the entire life cycle of a charging facility, characterized in that: The method comprises: Based on the standard service life of the charging pile, the remaining service life of the charging pile is determined according to the service life of the charging pile; Acquiring usage data of the charging pile within the used time, generating a correction coefficient according to the usage data, and adjusting the remaining usage time according to the correction coefficient to generate a first remaining usage time; Acquire environmental parameters of the environment in which the charging pile is located within the used time, generate an environmental adjustment coefficient according to the environmental parameters, and adjust the first remaining use time according to the environmental adjustment coefficient to generate a second remaining use time; According to the operation data of other charging piles during the used time, the mutual interference coefficient is calculated according to the operation data; the other charging piles are charging piles connected to the same distribution transformer as the charging pile; The second remaining usage time is adjusted according to the mutual interference coefficient to generate a target remaining usage time.

2. The method for monitoring the entire life cycle of a charging facility according to claim 1, characterized in that: The usage data includes the number of charging times and the average charging amount of each charging, and the generating of the correction coefficient according to the usage data includes: Calculating a first difference between the number of charging times and a standard number of charging times, and generating a first correction coefficient according to the first difference; Calculating a second difference between the average charge capacity and the rated charge capacity, and generating a second correction coefficient according to the second difference; The first correction coefficient and the second correction coefficient are weightedly summed to generate a correction coefficient.

3. The method for monitoring the entire life cycle of a charging facility according to claim 1, characterized in that: The step of adjusting the remaining usage time according to the correction coefficient to generate a first remaining usage time includes: The correction coefficient is arithmetically multiplied by the remaining usage time to generate a first remaining usage time.

4. The method for monitoring the entire life cycle of a charging facility according to claim 1, characterized in that: The step of generating an environmental adjustment coefficient according to the environmental parameter comprises: Determine, according to the environmental parameters, a first duration during which the temperature of the environment in which the charging pile is located exceeds a first preset temperature, and a second duration during which the temperature is lower than a second preset temperature, and the first preset temperature is greater than the second preset temperature; Determining a temperature influence coefficient of the charging pile according to the sum of the first time duration and the second time duration; Determine, according to the environmental parameter, that the humidity of the environment in which the charging pile is located exceeds the third preset humidity for a third time period and is lower than the fourth preset humidity for a fourth time period during the used time period, and the third preset humidity is greater than the fourth preset humidity; Determining a humidity influence coefficient of the charging pile according to the sum of the third time period and the fourth time period; According to the magnitudes of the temperature influence coefficient and the humidity influence coefficient, the influence level of the environment on the charging pile is determined from a preset database, and according to the influence level, an environmental adjustment coefficient is generated.

5. The method for monitoring the entire life cycle of a charging facility according to claim 1, characterized in that: The step of adjusting the first remaining usage time according to the environment adjustment coefficient to generate a second remaining usage time includes: The environment adjustment coefficient is arithmetically multiplied by the first remaining time to generate a second remaining usage time.

6. The method for monitoring the entire life cycle of a charging facility according to claim 1, characterized in that: The calculating the mutual interference coefficient according to the operation data includes: Obtaining a first charging duration of the other charging pile within the used duration, and a second charging duration of the charging pile within the used duration; Calculate the overlapping duration of the first charging duration and the second charging duration; Obtaining a power ratio of a total charging power of the other charging piles within the overlapping time to a rated power of the distribution transformer, and determining a power occupancy factor according to the power ratio; A mutual interference coefficient is generated according to the power occupancy factor, and the power occupancy factor is positively correlated with the mutual interference coefficient.

7. The method for monitoring the entire life cycle of a charging facility according to claim 1, characterized in that: The step of adjusting the second remaining usage time according to the mutual interference coefficient to generate a target remaining usage time includes: Determining the attenuation time corresponding to the mutual interference coefficient; The target remaining usage time is obtained by subtracting the decay time from the second remaining usage time.

8. A full life cycle monitoring system for charging facilities, characterized in that: The system includes: a determination module, a first adjustment module, a second adjustment module, a calculation module and a third adjustment module; wherein, The determining module is used to determine the remaining usage time of the charging pile based on the standard service life of the charging pile and the usage time of the charging pile; The first adjustment module is used to obtain usage data of the charging pile within the used time, generate a correction coefficient according to the usage data, and adjust the remaining usage time according to the correction coefficient to generate a first remaining usage time; The second adjustment module is used to obtain environmental parameters of the environment in which the charging pile is located within the used time, generate an environmental adjustment coefficient according to the environmental parameters, and adjust the first remaining use time according to the environmental adjustment coefficient to generate a second remaining use time; The calculation module is used to calculate the mutual interference coefficient according to the operation data of other charging piles during the used time; the other charging piles are charging piles connected to the same distribution transformer as the charging pile; The third adjustment module is used to adjust the second remaining usage time according to the mutual interference coefficient to generate a target remaining usage time.

9. An electronic device, characterized in that: It includes a processor, a memory, a user interface and a network interface, the memory is used to store instructions, the user interface and the network interface are used to communicate with other devices, and the processor is used to execute the instructions stored in the memory so that the electronic device executes the method as described in any one of claims 1-7.

10. A computer-readable storage medium, characterized in that: A computer program is stored which can be loaded by a processor and execute the method according to any one of claims 1 to 7.

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