Charging terminal management operation and maintenance platform

Abstract

The invention relates to the technical field of charging terminal management, and discloses a charging terminal management operation and maintenance platform, which comprises a client module, a terminal monitoring module, a charging guidance module and a price management module, and is characterized in that the client module is used for guiding a client to use a charging terminal and acquiring vehicle information of the user; the terminal monitoring module is used for obtaining the use information and the use state of the charging terminal, through dynamic adjustment of the tendency coefficient, use conditions of different charging terminals can be flexibly coped, intelligent and precise management of prices is achieved, and therefore user experience is improved, and through dynamic analysis of user indexes, the user experience is improved. The demand preference of the user can be intelligently judged, and personalized charging guidance service can be provided at a proper time. The accurate recommendation based on the user behavior data not only can help the user to save the charging cost, but also can optimize the utilization rate of the charging resources and improve the overall operation efficiency.

Description

Technical Field

[0001] This application relates to the technical field of charging terminal management, and in particular to a charging terminal management and operation and maintenance platform. Background Art

[0002] The operation and maintenance of charging terminals is a crucial link to ensure the safe, stable, and efficient operation of charging facilities, and it is necessary. The operation and maintenance work can ensure charging safety. By regularly checking the insulation performance of equipment, line connections, and grounding status, it can prevent potential safety hazards such as electrical fires, electric shock risks, and battery damage. The operation and maintenance can improve the reliability of equipment, reduce the failure rate, avoid charging interruptions for users and operation losses, thereby enhancing the user experience and operation efficiency. In addition, the operation and maintenance can also extend the service life of equipment. By regularly maintaining and replacing aging components, it can reduce the long-term operation cost. The operation and maintenance supports intelligent management. By real-time monitoring and data analysis, it can optimize the operation efficiency of the charging network and provide decision-making support for operators. The operation and maintenance of charging terminals is not only the basis for ensuring safety and reliability but also an important means to improve user satisfaction and achieve sustainable development.

[0003] Although there are many benefits of operation and maintenance, during the current use of charging terminals, some terminals are frequently used while others are neglected. Long-term disuse is obviously harmful to charging terminals. In order to promote the uniform use of charging terminals in a charging park and facilitate subsequent maintenance and use, the present invention proposes a charging terminal management and operation and maintenance platform. Summary of the Invention

[0004] In order to promote the uniform use of charging terminals in a charging park, this application provides a charging terminal management and operation and maintenance platform.

[0005] In a first aspect, this application provides a charging terminal management and operation and maintenance platform, adopting the following technical solution:

[0006] A charging terminal management and operation and maintenance platform, comprising: a client module, which is used to guide customers to use charging terminals and obtain vehicle information of users;

[0007] A terminal monitoring module, which is used to obtain the usage information and usage status of charging terminals;

[0008] Price management module. The price management module sets the charging price of the charging terminal based on the obtained inclination coefficient. The inclination coefficient is obtained based on the natural usage times and natural usage duration of the current charging terminal. The natural usage times refer to the number of times a user actively chooses to use the charging terminal without external guidance or incentives within a statistical period. The higher the natural usage times, the greater the demand for the charging terminal, and the inclination coefficient will increase accordingly. The natural usage duration refers to the average duration of a single use of the charging terminal by the user without external intervention. The longer the natural usage duration, the higher the dependence of the users entering the park on the charging terminal, and the inclination coefficient will also increase accordingly;

[0009] Charging guidance module. The charging guidance module displays the charging price of the charging terminal to the customer and determines whether to issue a pop-up guidance through the user index. The user index is obtained based on the number of times the user selects a low-price charging terminal, the charging time when the user selects a low-price charging terminal, and the average charging duration of the user. The number of times the user selects a low-price charging terminal records the number of times the user selects a low-price charging terminal in the past period. If the user frequently selects a low-price charging terminal, it indicates that the user is more sensitive to price, and the user index will increase accordingly. The charging time when the user selects a low-price charging terminal is the average charging duration when the user selects a low-price charging terminal. If the user has a long charging time on the low-price charging terminal, it indicates that the user is price-sensitive and tends to use low-price services for a long time, and the user index will further increase. The average charging duration of the user is calculated as the average charging duration of the user on all charging terminals. If the average charging duration of the user is short, it may indicate that the user has a high requirement for charging efficiency, and the user index will be adjusted according to this behavior.

[0010] Through the above technical solutions: a solution for obtaining the inclination coefficient and the user index for user guidance is provided. Through the dynamic adjustment of the inclination coefficient, it is possible to flexibly respond to the usage situations of different charging terminals, achieve intelligent and precise management of prices, thereby improving the user experience. Through the dynamic analysis of the user index, it is possible to intelligently judge the demand preferences of users and provide personalized charging guidance services at the appropriate time. This precise recommendation based on user behavior data can not only help users save charging costs, but also optimize the utilization rate of charging resources and improve the overall operation efficiency.

[0011] Optionally, the charging guidance module further includes a cross-region guidance unit. The cross-region guidance unit guides some users to the adjacent matching region through the user index before it is judged that the current charging region is about to enter the charging peak period. The matching region is another charging region that is no more than a preset distance away from the current charging region and whose charging peak period is staggered.

[0012] Through the above technical solution: guiding users to adjacent matching areas through user indices is a strategy to optimize the allocation of charging resources, which can effectively relieve the pressure during the peak charging period in the current charging area and improve the user experience at the same time.

[0013] Optionally, set a statistical period, and obtain the natural usage times and natural usage durations of all charging terminals in a charging area within the statistical period;

[0014] Standardize the natural usage times and natural usage durations, and then obtain the usage coefficient through weighted summation;

[0015] Within the statistical period, construct a dot matrix ice fitting to obtain the target curve based on the usage coefficient and the acquisition time of the usage coefficient;

[0016] Set at least three recognition intervals based on the historical data of the usage coefficient of the current charging terminal, respectively obtain the characteristic curves intercepted by the recognition intervals of the target curve, and calculate and obtain the tendency coefficient based on the intercepted multiple characteristic curves.

[0017] Optionally, the tendency coefficient is obtained through the formula: 、 for calculation, where is the tendency coefficient, is the usage coefficient, is the function expression of the target curve, is the number of characteristic curves in the first recognition interval, is the number of characteristic curves in the second recognition interval, is the number of characteristic curves in the third recognition interval, is a non-zero integer not greater than , j is a non-zero integer not greater than , is a non-zero integer not greater than , is the interval start point of the i-th characteristic curve in the first recognition interval, is the interval end point of the i-th characteristic curve in the first recognition interval, is the interval start point of the j-th characteristic curve in the second recognition interval, is the interval end point of the j-th characteristic curve in the second recognition interval, is the interval start point of the k-th characteristic curve in the third recognition interval, is the interval end point of the k-th characteristic curve in the third recognition interval.

[0018] Through the above technical solution, the process of obtaining the inclination coefficient is given. Specifically, the inclination coefficient is a secondary analysis of the usage state. The inclination coefficient can screen out the charging terminals that are stably used for a long time, rather than the charging terminals with extreme usage conditions, thereby solving the problem that some charging terminals that are easily in an extreme state will be selected as the price increase target and optimizing the selection strategy.

[0019] Optionally, the process of setting the charging price of the charging terminal based on the obtained inclination coefficient includes:

[0020] Select several charging terminals with the lowest inclination coefficients in a charging area, and correspondingly select the same number of charging terminals with the highest inclination coefficients;

[0021] On the basis of the initial price, reduce the charging of several charging terminals with the lowest inclination coefficients and increase the charging of several charging terminals with the highest inclination coefficients, and the price reduction and price increase are carried out according to the preset rules.

[0022] Optionally, the preset rules include:

[0023] The price reduction and price increase need to satisfy: ; Where is the usage coefficient of the L-th charging terminal with the lowest inclination coefficient in the previous statistical period, is the price increase range, is the usage coefficient of the Z-th charging terminal with the highest inclination coefficient in the previous statistical period, is the price reduction range, is the number of charging terminals with the lowest inclination coefficients, is the number of charging terminals with the highest inclination coefficients, is the preset correction value, is not greater than non-zero integer, is not greater than non-zero integer.

[0024] Optionally, the process of obtaining the user coefficient includes:

[0025] Obtain the number of times the user selects the low-price charging terminal, the charging time when the user selects the low-price charging terminal, and the average charging duration of the user, and correspondingly set the first standard value, the second standard value, and the third standard value. The first standard value corresponds to the number of times of selecting the low-price charging terminal, the second standard value corresponds to the charging time of selecting the low-price charging terminal, and the second standard value corresponds to the average charging duration of the user;

[0026] Standardize the number of times a user selects a low - price charging terminal, the charging time when a user selects a low - price charging terminal, and the average charging duration of the user through a first standard value, a second standard value, and a third standard value;

[0027] Calculate and obtain a user coefficient by means of weighted summation.

[0028] Optionally, the process of determining whether to pop up a pop - up guide through the user index includes:

[0029] Set a judgment interval based on the historical data of the user index. If the user index of a customer using the client module is within the judgment interval, a pop - up guide is issued;

[0030] If the user index of a customer using the client module is outside the judgment interval, only the charging price is displayed. For new users lacking historical data, it can be defaulted that they meet the conditions for issuing a pop - up guide.

[0031] Optionally, the terminal monitoring module is further provided with an occupancy detection unit, and the occupancy detection unit identifies non - charging users and gives a background prompt for occupancy situations exceeding a preset usage time.

[0032] Optionally, the charging terminal is provided with an identification two - dimensional code, and the client module pops up a charging guide module by scanning and identifying the two - dimensional code.

[0033] In summary, the present application includes at least one of the following beneficial technical effects:

[0034] (1) Through the dynamic adjustment of the inclination coefficient, the present invention can flexibly respond to the usage situations of different charging terminals, realize the intelligent and precise management of prices, thereby improving the user experience. Through the dynamic analysis of the user index, it can intelligently judge the demand preferences of users and provide personalized charging guide services at appropriate times. This kind of precise recommendation based on user behavior data can not only help users save charging costs, but also optimize the utilization rate of charging resources and improve the overall operation efficiency.

[0035] (2) The present invention gives the process of obtaining the inclination coefficient. The inclination coefficient is a secondary analysis of the usage state. The inclination coefficient can screen out the charging terminals that are stably used for a long time, rather than the charging terminals with extreme usage situations, thus solving the problem that some charging terminals that are easily in extreme states will be selected as the target for price increase and optimizing the selection strategy.

[0036] (3) The present invention guiding users to adjacent matching areas through the user index is a strategy for optimizing the allocation of charging resources, which can effectively relieve the pressure during the peak charging period in the current charging area and improve the user experience at the same time. Brief Description of the Drawings

[0037] Figure 1 It is a schematic diagram of the module composition of the present invention.

[0038] Figure 2 It is a flowchart of the steps for obtaining the inclination coefficient of the present invention. Specific Embodiments

[0039] The following describes in detail the embodiments of the present application. Examples of the embodiments are shown in the accompanying drawings.

[0040] In the description of this specification, the description referring to the terms "certain embodiments", "one embodiment", "some embodiments", "schematic embodiments", "examples", "specific examples", or "some examples" means that the specific features, structures, materials, or characteristics described in connection with the embodiments or examples are included in at least one embodiment or example of the present application. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiments or examples. Moreover, the specific features, structures, materials, or characteristics described can be combined in a suitable manner in any one or more embodiments or examples.

[0041] The embodiments of the present application disclose a charging terminal management and operation and maintenance platform. Referring to Figure 1 and Figure 2 , it includes a client module, and the client module is used to guide customers to use the charging terminal and obtain vehicle information of users;

[0042] A terminal monitoring module, which is used to obtain the usage information and usage status of the charging terminal. The terminal monitoring module will record time information such as the start time, end time, and charging duration of charging, which is convenient for statistical analysis of users' charging habits and electricity consumption patterns. The terminal monitoring module judges whether the charging terminal is in different states such as normal charging, standby, failure, or maintenance based on the fluctuations of current and voltage and the response signal of the device. Once an abnormal state is found, it will immediately send out a warning signal, which can provide strong support for timely maintenance and ensuring the continuity of charging services;

[0043] A price management module, and the price management module sets the charging price of the charging terminal based on the obtained inclination coefficient. The inclination coefficient is obtained based on the natural usage times and natural usage duration of the current charging terminal. The natural usage times refer to the number of times that users actively choose to use the charging terminal without external guidance or incentives within a statistical period. The higher the natural usage times, the greater the demand for the charging terminal, and the inclination coefficient will increase accordingly. The natural usage duration refers to the average duration of a single use of the charging terminal by users without external intervention. The longer the natural usage duration, the higher the dependence of the users entering the park on the charging terminal, and the inclination coefficient will also increase accordingly;

[0044] Charging guidance module, which shows the charging price of the charging terminal to the customer and determines whether to issue a pop-up guidance through the user index. The user index is obtained based on the number of times the user selects a low-price charging terminal, the charging time of the user when selecting a low-price charging terminal, and the average charging duration of the user. The number of times the user selects a low-price charging terminal records the number of times the user selects a low-price charging terminal in the past period. If the user frequently selects a low-price charging terminal, it indicates that the user is more sensitive to price, and the user index will increase accordingly. The charging time of the user when selecting a low-price charging terminal is the average charging duration when the user selects a low-price charging terminal. If the user has a long charging time on the low-price charging terminal, it indicates that the user is price-sensitive and tends to use low-price services for a long time, and the user index will further increase. The average charging duration of the user is the average charging duration of the user on all charging terminals. If the average charging duration of the user is short, it may indicate that the user has a high requirement for charging efficiency, and the user index will be adjusted according to this behavior.

[0045] In this embodiment, a solution for obtaining the inclination coefficient and the user index for user guidance is provided. Through the dynamic adjustment of the inclination coefficient, it is possible to flexibly respond to the usage conditions of different charging terminals, realize the intelligent and precise management of prices, thereby improving the user experience. Through the dynamic analysis of the user index, it is possible to intelligently judge the user's demand preferences and provide personalized charging guidance services at the appropriate time. This precise recommendation based on user behavior data can not only help users save charging costs, but also optimize the utilization rate of charging resources, improve the overall operation efficiency. And for some charging terminals in extreme situations, the reasons are often holidays or certain activities. Questionnaire surveys show that raising prices in this state will cause users to have a bad impression on the system, which is not conducive to subsequent development.

[0046] The charging guidance module further includes a cross-region guidance unit. Before judging that the current charging area is about to enter the charging peak period, the cross-region guidance unit guides some users to the adjacent matching area through the user index. The matching area is another charging area that is no more than a preset distance from the current charging area and whose charging peak period is staggered.

[0047] Guiding users to the adjacent matching area through the user index in this embodiment is a strategy for optimizing the allocation of charging resources, which can effectively relieve the pressure during the charging peak period in the current charging area and improve the user experience at the same time.

[0048] Set a statistical period, and obtain the natural usage times and natural usage durations of all charging terminals in a charging area within the statistical period;

[0049] Standardize the natural usage times and natural usage durations, and then obtain the usage coefficient through weighted summation;

[0050] During the statistical period, a lattice ice fitting acquisition target curve is constructed based on the usage coefficient and the acquisition time for obtaining the usage coefficient.

[0051] Based on the historical data of the current charging terminal usage coefficient, at least three identification intervals are set. The characteristic curves intercepted by the identification intervals of the target curve are respectively obtained, and the tendency coefficient is calculated based on the intercepted multiple characteristic curves. The identification intervals are set according to the numerical level of the usage data. The three identification intervals are respectively the state where the usage coefficient is lower than the average value, the state where the usage coefficient is higher than the average value, and the state where the usage coefficient is close to the average value.

[0052] The tendency coefficient is obtained through the formula: 、 ; It is calculated and obtained, where is the tendency coefficient, is the usage coefficient, x is the value after standardizing the natural usage times, y is the value after standardizing the natural usage duration, and are respectively the preset weight values, is the function expression of the target curve, is the number of characteristic curves in the first identification interval, is the number of characteristic curves in the second identification interval, is the number of characteristic curves in the third identification interval, is a non-zero integer not greater than , j is a non-zero integer not greater than , is a non-zero integer not greater than , is the starting point of the interval of the i-th characteristic curve in the first identification interval, is the ending point of the interval of the i-th characteristic curve in the first identification interval, is the starting point of the interval of the j-th characteristic curve in the second identification interval, is the ending point of the interval of the j-th characteristic curve in the second identification interval, is the starting point of the interval of the k-th characteristic curve in the third identification interval, is the ending point of the interval of the k-th characteristic curve in the third identification interval.

[0053] In this embodiment, the process of obtaining the tendency coefficient is given. Specifically, the tendency coefficient is a secondary analysis of the usage state. The tendency coefficient can screen out the charging terminals that are stably used for a long time, rather than the charging terminals with extreme usage conditions, thus solving the problem that some charging terminals that are prone to extreme states will be selected as the price increase targets and optimizing the selection strategy.

[0054] The process of setting the charging price of a charging terminal based on the obtained inclination coefficient includes:

[0055] Select a number of charging terminals with the lowest inclination coefficients in a charging area, and correspondingly select the same number of charging terminals with the highest inclination coefficients;

[0056] Reduce the charging of a number of charging terminals with the lowest inclination coefficients and increase the charging of a number of charging terminals with the highest inclination coefficients on the basis of the initial price, and the price reduction and price increase are carried out according to a preset rule.

[0057] The preset rule includes:

[0058] The price reduction and price increase need to satisfy: ; where is the usage coefficient of the Lth charging terminal with the lowest inclination coefficient in the previous statistical period, is the price increase range, is the usage coefficient of the Zth charging terminal with the highest inclination coefficient in the previous statistical period, is the price reduction range, is the number of charging terminals with the lowest inclination coefficients, is the number of charging terminals with the highest inclination coefficients, is a preset correction value, is not greater than is a non-zero integer, is not greater than is a non-zero integer.

[0059] The process of obtaining the user coefficient includes:

[0060] Obtain the number of times the user selects a low-price charging terminal, the charging time when the user selects a low-price charging terminal, and the average charging duration of the user, and correspondingly set a first standard value, a second standard value, and a third standard value. The first standard value corresponds to the number of times of selecting a low-price charging terminal, the second standard value corresponds to the charging time of selecting a low-price charging terminal, and the second standard value corresponds to the average charging duration of the user;

[0061] Standardize the number of times the user selects a low-price charging terminal, the charging time when the user selects a low-price charging terminal, and the average charging duration of the user through the first standard value, the second standard value, and the third standard value;

[0062] Calculate and obtain the user coefficient in a weighted summation manner.

[0063] The process of determining whether to pop up a pop-up guidance through the user index includes:

[0064] Set a judgment interval based on the historical data of the user index. If the user index of the customer using the client module is within the judgment interval, a pop-up window guidance is issued.

[0065] If the user index of the customer using the client module is outside the judgment interval, only the charging price is displayed. For new users lacking historical data, it can be defaulted that they meet the conditions for issuing a pop-up window guidance.

[0066] The terminal monitoring module is also provided with an occupancy detection unit, which identifies non-charging users and gives a background prompt for occupancy situations exceeding the preset usage time.

[0067] The charging terminal is provided with an identification two-dimensional code, and the client module pops up a charging guidance module by scanning and identifying the two-dimensional code.

[0068] The embodiment of the present application also discloses a charging terminal management and operation and maintenance platform, including a processor, and a program of the charging terminal management and operation and maintenance platform described in any one of the above is run in the processor.

[0069] The embodiment of the present application also discloses a storage medium storing a program of the charging terminal management and operation and maintenance platform described in any one of the above.

[0070] Although the embodiments of the present application have been shown and described above, it can be understood that the above embodiments are exemplary and should not be construed as limiting the present application. Those of ordinary skill in the art can make changes, modifications, substitutions, and variations to the above embodiments within the scope of the present application.

Claims

1. A charging terminal management and operation and maintenance platform, characterized in that Including: A client module, which is used to guide customers to use the charging terminal and obtain the vehicle information of users; A terminal monitoring module, which is used to obtain the usage information and usage status of the charging terminal; A price management module, which sets the charging price of the charging terminal based on the obtained inclination coefficient, and the inclination coefficient is obtained based on the natural usage times and natural usage duration of the current charging terminal; A charging guidance module, which displays the charging price of the charging terminal to customers and determines whether to issue a pop-up guidance through the user index, and the user index is obtained based on the number of times users select low-price charging terminals, the charging time of users selecting low-price charging terminals, and the average charging duration of users.

2. The charging terminal management and operation and maintenance platform according to claim 1, characterized in that The charging guidance module further includes a cross-region guidance unit, which, before determining that the current charging area is about to enter the charging peak period, guides some users to an adjacent matching area through the user index, and the matching area is another charging area that is no more than a preset distance away from the current charging area and whose charging peak period is staggered; 3. The charging terminal management and operation and maintenance platform according to claim 1, characterized in that The process of obtaining the inclination coefficient includes: Setting a statistical period, and obtaining the natural usage times and natural usage duration of all charging terminals in a charging area within the statistical period; Performing standardization processing on the natural usage times and natural usage duration, and then obtaining a usage coefficient through weighted summation; Within the statistical period, constructing a dot matrix ice fitting to obtain a target curve based on the usage coefficient and the acquisition time of the obtained usage coefficient; Based on the historical data of the usage coefficient of the current charging terminal, setting at least three identification intervals, respectively obtaining the characteristic curves intercepted by the target curve by the identification intervals, and calculating and obtaining the inclination coefficient based on the intercepted multiple characteristic curves.

4. The charging terminal management and operation and maintenance platform according to claim 3, wherein The inclination coefficient is calculated by the formula: 、 Obtained through calculation, where is the tendency coefficient, is the usage coefficient, is the function expression of the target curve, is the number of characteristic curves in the first recognition interval, is the number of characteristic curves in the second recognition interval, is the number of characteristic curves in the third recognition interval, is a non-zero integer not greater than and j is a non-zero integer not greater than , is a non-zero integer not greater than , is the starting point of the interval of the i-th characteristic curve in the first recognition interval, is the ending point of the interval of the i-th characteristic curve in the first recognition interval, is the starting point of the interval of the j-th characteristic curve in the second recognition interval, is the ending point of the interval of the j-th characteristic curve in the second recognition interval, is the starting point of the interval of the k-th characteristic curve in the third recognition interval, is the ending point of the interval of the k-th characteristic curve in the third recognition interval.

5. The charging terminal management and operation and maintenance platform according to claim 1, wherein The process of setting the charging price of the charging terminal based on the obtained inclination coefficient includes: Selecting several charging terminals with the lowest inclination coefficient in a charging area, and correspondingly selecting the same number of charging terminals with the highest inclination coefficient; Reducing the charging price of several charging terminals with the lowest inclination coefficient and increasing the charging price of several charging terminals with the highest inclination coefficient on the basis of the initial price, and the price reduction and price increase are carried out according to preset rules.

6. The charging terminal management and operation and maintenance platform according to claim 5, characterized in that The preset rules include: The price reduction and price increase need to meet: ； Among them is the utilization coefficient of the L-th charging terminal with the lowest propensity coefficient in the previous statistical period, is the price increase range, is the utilization coefficient of the Z-th charging terminal with the highest propensity coefficient in the previous statistical period, is the price reduction range, is the number of charging terminals with the lowest propensity coefficient, is the number of charging terminals with the highest propensity coefficient, is a preset correction value, is not greater than is a non-zero integer, is not greater than is a non-zero integer.

7. The charging terminal management and operation and maintenance platform according to claim 1, characterized in that The process of obtaining the user coefficient includes: Obtaining the number of times users select low-price charging terminals, the charging time of users selecting low-price charging terminals, and the average charging duration of users, and correspondingly setting a first standard value, a second standard value, and a third standard value; Performing standardization processing on the number of times users select low-price charging terminals, the charging time of users selecting low-price charging terminals, and the average charging duration of users through the first standard value, the second standard value, and the third standard value; Calculating and obtaining the user coefficient in a weighted summation manner.

8. The charging terminal management and operation and maintenance platform according to claim 1, wherein The process of determining whether to issue a pop-up guidance through the user index includes: Setting a judgment interval based on the historical data of the user index. If the user index of the customers using the client module is within the judgment interval, a pop-up guidance is issued; If the user index of the customers using the client module is outside the judgment interval, only the charging price is displayed.

9. The charging terminal management and operation and maintenance platform according to claim 1, characterized in that, The terminal monitoring module is also provided with an occupancy detection unit, which identifies non-charging users and gives a background prompt for occupancy situations exceeding the preset usage time.

10. The charging terminal management and operation and maintenance platform according to claim 1, characterized in that, The charging terminal is provided with an identification QR code, and the client module pops up a charging guidance module by scanning and identifying the QR code.

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