A shared charging control method and system based on the Internet of Things

Abstract

The application relates to a shared charging control method and system based on the Internet of Things, which comprises the following steps: adopting historical data to determine the monitoring frequency of each charging pile in each period; judging whether the charging pile equipment is abnormal according to the state information of the charging pile in the monitoring period; when the current state type of the charging pile is an idle state, triggering a parking space monitoring instruction, and updating the credit points of the parked vehicle on the parking space corresponding to the charging pile according to the monitoring result of the parking space monitoring instruction and whether the charging pile equipment is abnormal. In the application, whether the charging pile equipment is abnormal can be found in time based on the use of the charging pile, and in the application, the problem of the non-charging vehicle occupying the parking space is further divided, the parking space of the abnormal charging pile equipment is fully utilized, the credit points of the vehicle maliciously occupying the charging pile are deducted, and the full use of the charging pile is effectively ensured.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of shared charging, in particular to a shared charging control method and system based on the Internet of Things. BACKGROUND

[0002] With the increasing number of new energy vehicles, the supply pressure of charging facilities is also increasingly prominent. Especially in some old communities and public places, the lack of charging piles has become a bottleneck restricting the development of electric vehicles. As a flexible and convenient charging method, shared charging piles can effectively fill this market gap and meet the charging needs of electric vehicle users. Therefore, from the perspective of market demand, electric vehicle shared charging piles have broad market prospects. Due to poor management or lack of effective supervision, fuel vehicles or non-charging vehicles often occupy charging spaces, resulting in new energy vehicles being unable to normally use charging piles for charging. This not only wastes public resources, but also brings great inconvenience to new energy vehicle users. In addition, due to the long-term exposure of charging piles to outdoor environments, they are affected by natural factors such as wind and sunlight, and the equipment is prone to failure. However, some charging pile operators are not timely or not in place in terms of maintenance, resulting in charging piles being unable to be normally used. Therefore, the present application proposes a shared charging control method and system based on the Internet of Things. SUMMARY

[0003] The present application provides a shared charging control method and system based on the Internet of Things, which solves the technical problems mentioned in the background.

[0004] To achieve the above purpose, the present application provides the following technical solutions:

[0005] A shared charging control method based on the Internet of Things, the method comprising the following steps:

[0006] The historical data is used to determine the monitoring frequency of each charging pile in each time period, and the current state information of the charging pile is obtained in real time based on the monitoring frequency, wherein the current state information includes the current state type and the holding time length of the current state type, and the current state type includes the charging state and the idle state;

[0007] According to the state information of the charging pile in the monitoring period, it is determined whether the charging pile equipment is abnormal;

[0008] When the current state type of the charging pile is the idle state, a parking space monitoring instruction is triggered, and the credit points of the vehicle parked on the parking space corresponding to the charging pile are updated according to the monitoring result of the parking space monitoring instruction and whether the charging pile equipment is abnormal.

[0009] As a further technical solution of the present application, the step of using historical data to determine the monitoring frequency of each charging pile in each time period comprises:

[0010] collecting historical data, including the start and end charging time of each charging pile at the beginning and end of each time period;

[0011] For each charging pile, the total duration from the first start charging to the last end charging is calculated within each time period;

[0012] The predicted usage rate of each charging pile within each time period is calculated, and the predicted usage rate = charging duration within the time period / total duration of the time period;

[0013] According to the comparison result of the predicted usage rate and the set threshold, the monitoring frequency of each time period and each charging pile is determined.

[0014] As a further technical solution of the application, the step of determining whether the charging pile equipment is abnormal according to the state information of the charging pile within the monitoring period includes:

[0015] When the current state type of the charging pile is the charging state, it is determined that the charging pile equipment is normal;

[0016] When the current state type of the charging pile is the idle state, the actual charging duration within the monitoring period of the charging pile is obtained in real time;

[0017] The actual usage rate within the monitoring period is determined in real time according to the actual charging duration within the monitoring period and the total duration within the monitoring period;

[0018] The predicted usage rate of the monitoring period is compared with the actual usage rate, and when the difference between the predicted usage rate and the actual usage rate is greater than the preset difference threshold, and the holding duration of the idle state exceeds the preset duration threshold, it is preliminarily determined that the charging pile equipment is abnormal, otherwise it is normal;

[0019] When it is preliminarily determined that the charging pile equipment is abnormal, the monitoring video of the parking space corresponding to the charging pile within the monitoring period is obtained, and whether there is a vehicle on the parking space is determined in real time according to the monitoring video;

[0020] When there is no vehicle, it is determined that the preliminary determination result is accurate, it is determined that the charging pile equipment is abnormal, and a charging pile equipment abnormality prompt instruction is generated;

[0021] When there is a vehicle, the parking duration of each vehicle at the parking space and the total parking duration at the charging station are obtained, and when the parking duration of at least one vehicle is less than the preset parking duration, and the difference between the total parking duration and the parking duration at the parking space exceeds the preset time difference, it is determined that the preliminary determination result is accurate, it is determined that the charging pile equipment is abnormal, and a charging pile equipment abnormality prompt instruction is generated;

[0022] When the vehicle exists, the parking duration of the certain vehicle is less than the preset parking duration, and the difference between the total parking duration and the parking duration in the parking space exceeds the preset time difference, it is determined that the preliminary determination result is incorrect, and it is determined that the charging pile device is normal.

[0023] As a further technical solution of the application, when the current state type of the charging pile is the idle state, the step of triggering the parking space monitoring instruction, updating the credit points of the vehicle parked in the parking space corresponding to the charging pile based on the monitoring result of the parking space monitoring instruction and whether the charging pile device is abnormal, comprises:

[0024] When the current state type of the charging pile is the idle state, the parking space monitoring instruction is triggered, and the monitoring video of the parking space corresponding to the charging pile is obtained based on the parking space monitoring instruction;

[0025] The presence or absence of a vehicle in the parking space is determined in real time based on the monitoring video;

[0026] When the vehicle exists in the parking space and the charging pile device is normal from the time the vehicle parks in to the time it drives out, the parking information and the recent charging information of the vehicle are obtained, the parking information includes the vehicle entry time, the vehicle exit time, the parking duration and the license plate information; the recent charging information includes the charging start time, the charging end time and the charging duration; the illegal parking duration is determined based on the parking duration and the charging duration, illegal parking duration = parking duration - charging duration; the illegal parking time is determined based on the vehicle entry time, the vehicle exit time, the charging start time and the charging end time, the predicted usage rate of the time period to which the illegal parking time belongs is obtained, the predicted usage rate and the illegal parking weight coefficient are in a positive correlation, the current deduction value of the vehicle credit points is determined based on the illegal parking duration and the illegal parking weight coefficient, current deduction value = illegal parking weight coefficient * illegal parking duration * unit time deduction value, and the credit points of the vehicle are updated based on the current deduction value of the credit points;

[0027] When the vehicle exists in the parking space and the charging pile device is abnormal from the time the vehicle parks in to the time it drives out, the current deduction value of the vehicle credit points is determined as 0;

[0028] When the vehicle exists in the parking space and the charging pile device changes from normal to abnormal from the time the vehicle parks in to the time it drives out, the current deduction value of the vehicle credit points is determined as 0;

[0029] When the vehicle exists in the parking space and the charging pile device changes from abnormal to normal from the time the vehicle parks in to the time it drives out, the current deduction value of the vehicle credit points is determined as 0.

[0030] Another object of the application is to provide a shared charging control system based on the Internet of Things, which comprises:

[0031] A status information acquisition module, configured to use historical data to determine the monitoring frequency of each charging pile in each time period, and to obtain the current status information of the charging pile in real time based on the monitoring frequency, wherein the current status information includes the current status type and the duration of the current status type, and the current status type includes charging state and idle state;

[0032] The device abnormality determination module is used to determine whether the charging pile device has abnormalities based on the status information of the charging pile during the monitoring period;

[0033] The credit score update module is used to trigger the parking space monitoring instruction when the current state type of the charging pile is idle, and update the credit score of the vehicle parked in the parking space corresponding to the charging pile based on the monitoring results of the parking space monitoring instruction and whether there is any abnormality in the charging pile equipment.

[0034] As a further technical solution of the present invention, the status information acquisition module includes:

[0035] A historical data collection unit, used to collect historical data, including the start and end charging time of each charging pile in each time period;

[0036] The charging time statistics unit is used to calculate the total time from the first start of charging to the last end of charging for each charging pile in each time period;

[0037] A usage rate calculation unit is used to calculate the predicted usage rate of each charging pile in each time period. The predicted usage rate = charging time in the time period / total time of the time period;

[0038] The frequency determination unit is used to determine the monitoring frequency of each time period and each charging pile based on the comparison result of the predicted usage rate and the set threshold.

[0039] As a further technical solution of the present invention, the credit score update module includes:

[0040] A monitoring video acquisition unit, configured to trigger a parking space monitoring instruction when the current state type of the charging pile is an idle state, and acquire a monitoring video of the parking space corresponding to the charging pile based on the parking space monitoring instruction;

[0041] Vehicle identification unit, used to determine whether there is a vehicle in the parking space based on real-time analysis of surveillance video;

[0042] The integral first updating unit is used for obtaining parking information and recent charging information of the vehicle when the vehicle exists on the parking space and the charging pile device is normal during the process from parking to driving out, the recent charging information refers to charging information generated by charging behavior in this parking, the parking information includes vehicle entering time, vehicle going out time, parking duration and license plate information, the recent charging information includes charging start time, charging end time and charging duration, the illegal parking duration is determined according to the parking duration and the charging duration, the illegal parking duration = parking duration - charging duration, the illegal parking time is determined according to the vehicle entering time, the vehicle going out time, the charging start time and the charging end time, the predicted use rate of the period to which the illegal parking time belongs is obtained, the illegal parking weight coefficient is determined according to the predicted use rate, the predicted use rate and the illegal parking weight coefficient are in a positive correlation, the current deduction value of the vehicle credit integral is determined according to the illegal parking duration and the illegal parking weight coefficient, the current deduction value = illegal parking weight coefficient * illegal parking duration * unit time deduction value, the unit time deduction value is not limited to 'per hour' or 'per minute', in the embodiment, it can be understood as the deduction value per hour, and the credit integral of the vehicle is updated based on the current deduction value of the credit integral;

[0043] The integral second updating unit is used for determining that the current deduction value of the vehicle credit integral is 0 when the vehicle exists on the parking space and the charging pile device is abnormal during the process from parking to driving out.

[0044] The integral third updating unit is used for determining that the current deduction value of the vehicle credit integral is 0 when the vehicle exists on the parking space and the charging pile device changes from normal to abnormal during the process from parking to driving out.

[0045] The integral fourth updating unit is used for determining that the current deduction value of the vehicle credit integral is 0 when the vehicle exists on the parking space and the charging pile device changes from abnormal to normal during the process from parking to driving out.

[0046] Compared with the prior art, the present application has the beneficial effects that: the present application provides a shared charging control method and system based on the Internet of Things, in the present application, whether the charging pile device is abnormal can be found in time based on the use condition of the charging pile, and in the present application, the problem of occupying the parking space by the non-charging vehicle is further divided, the parking space with the abnormal charging pile device is fully utilized, at the same time, the credit integral of the vehicle maliciously occupying the charging parking space is deducted, and the full utilization of the charging pile is effectively ensured. BRIEF DESCRIPTION OF DRAWINGS

[0047] Figure 1 It is a flowchart of a shared charging control method based on the Internet of Things.

[0048] Figure 2A flow chart of a monitoring frequency determination step in a shared charging control method based on an Internet of Things.

[0049] Figure 3 A structure block diagram of a shared charging control system based on an Internet of Things. DETAILED DESCRIPTION

[0050] In order to make the technical problems to be solved by the present application, technical solutions and beneficial effects more clear, the present application will be further described in detail below in combination with the drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application, and are not used to limit the present application.

[0051] As shown in Figure 1 The embodiment of the present application provides a shared charging control method based on an Internet of Things, and the method comprises the following steps:

[0052] In step S100, the historical data is used to determine the monitoring frequency of each charging pile in each time period, and the current state information of the charging pile is obtained in real time based on the monitoring frequency, wherein the current state information comprises a current state type and a holding time length of the current state type, and the current state type comprises a charging state and an idle state;

[0053] In step S200, whether the charging pile device is abnormal is determined according to the state information of the charging pile in the monitoring time period.

[0054] In step S300, when the current state type of the charging pile is the idle state, a parking space monitoring instruction is triggered, and the credit points of the vehicle parked on the parking space corresponding to the charging pile are updated according to the monitoring result of the parking space monitoring instruction and whether the charging pile device is abnormal; when the current state type of the charging pile is the charging state, the credit points of the vehicle parked on the parking space corresponding to the charging pile are not updated.

[0055] In the embodiment, first, the monitoring frequency of each charging pile in each period is determined based on historical data, high-frequency monitoring of the charging pile is realized in the charging peak period, low-frequency monitoring of the charging pile is realized in the charging valley period, timely acquisition of the current state information is realized, whether the charging pile equipment is abnormal is determined according to the state information of the charging pile in the monitoring period, and whether the charging pile equipment is abnormal can be discovered in time based on the use of the charging pile in the embodiment. When the current state type of the charging pile is an idle state, a parking space monitoring instruction is triggered, the credit points of the vehicle parked in the parking space corresponding to the charging pile are updated according to the monitoring result of the parking space monitoring instruction and whether the charging pile equipment is abnormal, and when the current state type of the charging pile is a charging state, the credit points of the vehicle parked in the parking space corresponding to the charging pile are not updated; the non-charging vehicle occupying the parking space is further divided in the embodiment, the parking space of the charging pile equipment abnormality is fully utilized, the credit points of the vehicle maliciously occupying the charging parking space are deducted, and the full use of the charging pile is effectively ensured.

[0056] Please refer to Figure 2 As another preferred embodiment of the present application, the step of determining the monitoring frequency of each charging pile in each period based on historical data comprises:

[0057] Step S101, collect historical data, including the start and end charging time of each charging pile in each period; the collected historical charging data is sorted according to the charging pile number and the period for subsequent analysis;

[0058] Step S102, for each charging pile, in each period, the total duration from the first start charging to the last end charging is calculated, if there are multiple charging periods, the duration of each period is accumulated; the total duration of each period is fixed, for example, if the period is in hours, the total duration is 1 hour (or 60 minutes);

[0059] Step S103, calculate the predicted usage rate of each charging pile in each period, the predicted usage rate = the charging duration in the period / the total duration of the period, usually the average value of the predicted usage rate of each charging pile in each period is calculated; according to the business requirement, one or more threshold values of the predicted usage rate are set to determine different monitoring frequencies;

[0060] Step S104, according to the comparison result of the predicted usage rate and the set threshold, the monitoring frequency of each time period and each charging pile is determined, which can be specifically: two thresholds are generally set, usually the first threshold (0.5) and the second threshold (0.8), when the predicted usage rate is greater than or equal to the first threshold, it is determined that the monitoring frequency is the first monitoring frequency; when the predicted usage rate is less than the first threshold and greater than or equal to the second threshold, it is determined that the monitoring frequency is the second monitoring frequency, when the predicted usage rate is less than the second threshold, it is determined that the monitoring frequency is the third monitoring frequency, the first monitoring frequency > the second monitoring frequency > the third monitoring frequency.

[0061] In the embodiment, the predicted usage rate of each charging pile in each time period is calculated based on historical data, and in actual application, a usage rate prediction model can also be established based on the historical data to predict the predicted usage rate of each charging pile in each time period, and then based on this, the monitoring frequency of each time period and each charging pile is determined according to the comparison result of the predicted usage rate and the set threshold, so that the occupying vehicle is found in time and the credit points of the vehicle are updated in time.

[0062] As another preferred embodiment of the application, the step of determining whether the charging pile equipment is abnormal according to the state information of the charging pile in the monitoring period includes:

[0063] When the current state type of the charging pile is the charging state, it is determined that the charging pile equipment is normal;

[0064] When the current state type of the charging pile is the idle state, the actual charging duration of the charging pile in the monitoring period is acquired in real time; wherein, the monitoring period can refer to the current period or the last period of the current period;

[0065] The actual usage rate in the monitoring period is determined in real time according to the actual charging duration in the monitoring period and the total duration in the monitoring period;

[0066] The predicted usage rate of the monitoring period is compared with the actual usage rate, when the difference between the predicted usage rate and the actual usage rate is greater than a preset difference threshold, and the holding duration of the idle state exceeds a preset duration threshold, it is preliminarily determined that the charging pile equipment is abnormal, otherwise it is normal;

[0067] When it is preliminarily determined that the charging pile equipment is abnormal, the monitoring video of the parking space corresponding to the charging pile in the monitoring period is acquired, and whether there is a vehicle on the parking space is determined in real time according to the monitoring video;

[0068] When there is no vehicle, it is determined that the preliminary determination result is accurate, it is determined that the charging pile equipment is abnormal, and a charging pile equipment abnormality prompt instruction is generated;

[0069] When the vehicles exist, the parking time length of each vehicle in the parking space and the total parking time length in the charging station are acquired, when the parking time length of at least a certain vehicle is less than the preset parking time length, and the difference between the total parking time length and the parking time length in the parking space exceeds the preset time difference, it is determined that the preliminary determination result is accurate, it is determined that the charging pile equipment is abnormal, and a charging pile equipment abnormality prompt instruction is generated;

[0070] When the vehicles exist, the parking time length of each vehicle in the parking space and the total parking time length in the charging station are acquired, when the parking time length of at least a certain vehicle is less than the preset parking time length, and the difference between the total parking time length and the parking time length in the parking space exceeds the preset time difference, it is determined that the preliminary determination result is accurate, it is determined that the charging pile equipment is abnormal, and a charging pile equipment abnormality prompt instruction is generated;

[0071] In the embodiment, the timely determination of each charging pile equipment is realized based on the state type of each charging pile and the parking time length of each vehicle in the parking space, and whether the charging pile equipment is abnormal can be found in time.

[0072] As another preferred embodiment of the present application, when the current state type of the charging pile is the idle state, the vehicle monitoring instruction is triggered, and the credit points of the vehicle parked in the parking space corresponding to the charging pile are updated according to the monitoring result of the vehicle monitoring instruction and whether the charging pile equipment is abnormal.

[0073] When the current state type of the charging pile is the idle state, the vehicle monitoring instruction is triggered, and the monitoring video of the parking space corresponding to the charging pile is acquired based on the vehicle monitoring instruction.

[0074] The presence or absence of the vehicle in the parking space is determined in real time according to the monitoring video.

[0075] When there is a vehicle on the parking space, and the charging pile device is normal from the vehicle parking in to driving out, the parking information and the recent charging information of the vehicle are obtained, the recent charging information refers to the charging information generated by the charging behavior in this parking, the parking information includes the vehicle entering time, the vehicle going out time, the parking duration and the license plate information, the recent charging information includes the charging start time, the charging end time and the charging duration, the illegal parking duration is determined according to the parking duration and the charging duration, the illegal parking duration = the parking duration - the charging duration, the illegal parking time is determined according to the vehicle entering time, the vehicle going out time, the charging start time and the charging end time, the prediction usage rate of the time period to which the illegal parking time belongs is obtained, the prediction usage rate and the illegal parking weight coefficient are in a positive correlation, the current deduction value of the vehicle credit score is determined according to the illegal parking duration and the illegal parking weight coefficient, the current deduction value = the illegal parking weight coefficient * the illegal parking duration * the unit time deduction value, the unit time deduction value is not limited to "per hour" or "per minute", in this embodiment, it can be understood as the deduction value per hour, and the credit score of the vehicle is updated based on the current deduction value of the credit score.

[0076] When there is a vehicle on the parking space, and the charging pile device is abnormal from the vehicle parking in to driving out, the current deduction value of the vehicle credit score is determined as 0.

[0077] When there is a vehicle on the parking space, and the charging pile device changes from normal to abnormal from the vehicle parking in to driving out, the current deduction value of the vehicle credit score is determined as 0.

[0078] When there is a vehicle on the parking space, and the charging pile device changes from abnormal to normal from the vehicle parking in to driving out, the current deduction value of the vehicle credit score is determined as 0.

[0079] In this embodiment, the application further divides the problem of non-charging vehicles occupying parking spaces, fully utilizes the parking spaces with abnormal charging pile devices, and deducts the credit score of vehicles maliciously occupying charging parking spaces, effectively ensuring the full utilization of charging piles.

[0080] Please refer to Figure 3 Another object of the application is to provide a shared charging control system based on the Internet of Things, which comprises:

[0081] The state information acquisition module 100 is used to determine the monitoring frequency of each charging pile in each time period by using historical data, and to obtain the current state information of the charging pile in real time based on the monitoring frequency, wherein the current state information includes the current state type and the holding duration of the current state type, and the current state type includes the charging state and the idle state.

[0082] The device anomaly determination module 200 is configured to determine whether the charging pile device is abnormal according to the state information of the charging pile in the monitoring period.

[0083] The credit score updating module 300 is configured to trigger a parking space monitoring instruction when the current state type of the charging pile is an idle state, and update the credit score of the vehicle parked on the parking space corresponding to the charging pile according to the monitoring result of the parking space monitoring instruction and whether the charging pile device is abnormal.

[0084] As another preferred embodiment of the present application, the state information acquisition module 100 comprises:

[0085] The historical data collection unit is configured to collect historical data, including the start and end charging time of each charging pile in each period; and arrange the collected historical charging data according to the charging pile number and the period for subsequent analysis.

[0086] The charging duration statistical unit is configured to calculate the total duration from the first start charging to the last end charging for each charging pile in each period, and accumulate the duration of each charging segment if there are multiple charging segments; and the total duration of each period is fixed, for example, if the period is in hours, the total duration is 1 hour (or 60 minutes).

[0087] The usage rate calculation unit is configured to calculate the predicted usage rate of each charging pile in each period, and the predicted usage rate = charging duration in the period / total duration of the period; and the average value of the predicted usage rate of each charging pile in each period is usually calculated; and one or more threshold values of the predicted usage rate are set according to business requirements to determine different monitoring frequencies.

[0088] The frequency determination unit is configured to determine the monitoring frequency of each period and each charging pile according to the comparison result of the predicted usage rate and the set threshold value, and specifically can be: two threshold values are generally set, which are usually a first threshold value and a second threshold value; when the predicted usage rate is greater than or equal to the first threshold value, it is determined that the monitoring frequency is a first monitoring frequency; when the predicted usage rate is less than the first threshold value and greater than or equal to the second threshold value, it is determined that the monitoring frequency is a second monitoring frequency; and when the predicted usage rate is less than the second threshold value, it is determined that the monitoring frequency is a third monitoring frequency, and the first monitoring frequency > the second monitoring frequency > the third monitoring frequency.

[0089] As another preferred embodiment of the present application, the credit score updating module 300 comprises:

[0090] The monitoring video acquisition unit is configured to trigger a parking space monitoring instruction when the current state type of the charging pile is an idle state, and acquire the monitoring video of the parking space corresponding to the charging pile based on the parking space monitoring instruction.

[0091] A vehicle identification unit is configured to determine whether a vehicle exists on the parking space according to real-time analysis of the monitoring video;

[0092] An integral first updating unit is configured to, when a vehicle exists on the parking space and the charging pile device is normal during the process from the vehicle parking in to driving out, acquire parking information and recent charging information of the vehicle, the recent charging information being charging information generated by a charging behavior occurring during this parking, the parking information including vehicle entering time, vehicle leaving time, parking duration and license plate information, the recent charging information including charging start time, charging end time and charging duration, determining a rule violation parking duration according to the parking duration and the charging duration, the rule violation parking duration = the parking duration - the charging duration, determining a rule violation parking time according to the vehicle entering time, the vehicle leaving time, the charging start time and the charging end time, acquiring a predicted usage rate of a time period to which the rule violation parking time belongs, determining a rule violation parking weight coefficient according to the predicted usage rate, the predicted usage rate and the rule violation parking weight coefficient being in a positive correlation, determining a current deduction value of the vehicle credit score according to the rule violation parking duration and the rule violation parking weight coefficient, the current deduction value = the rule violation parking weight coefficient * the rule violation parking duration * a unit time deduction value, the unit time deduction value not being limited to “per hour” or “per minute”, in this embodiment, it can be understood as a deduction value per hour, and updating the credit score of the vehicle based on the current deduction value of the credit score;

[0093] An integral second updating unit is configured to, when a vehicle exists on the parking space and the charging pile device is abnormal during the process from the vehicle parking in to driving out, determine a current deduction value of the vehicle credit score as 0.

[0094] An integral third updating unit is configured to, when a vehicle exists on the parking space and the charging pile device changes from normal to abnormal during the process from the vehicle parking in to driving out, determine a current deduction value of the vehicle credit score as 0.

[0095] An integral fourth updating unit is configured to, when a vehicle exists on the parking space and the charging pile device changes from abnormal to normal during the process from the vehicle parking in to driving out, determine a current deduction value of the vehicle credit score as 0.

[0096] It should be noted that, in this document, the term “comprising” or any other variant thereof is intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements not only includes those elements, but also includes other elements not explicitly listed, or further includes elements inherent to such a process, method, article or device. Without more limitations, the element defined by the statement “comprising a” does not exclude the presence of additional identical elements in the process, method, article or device including the element.

[0097] The above merely describes the preferred embodiments of the present application, and is not intended to limit the patent scope of the present application, and any equivalent structure or equivalent process conversion, or direct or indirect application in other related technical fields, which are made by using the content of the present application specification and drawings, are also included in the patent protection scope of the present application.

Claims

1. A sharing charging control method based on Internet of Things, characterized in that, The method comprises the following steps: The method comprises the following steps: The method comprises the following steps: When the current state type of the charging pile is an idle state, a parking space monitoring instruction is triggered, and the credit points of the vehicle parked in the parking space corresponding to the charging pile are updated according to the monitoring result of the parking space monitoring instruction and whether the charging pile equipment is abnormal. When the current state type of the charging pile is an idle state, a parking space monitoring instruction is triggered, and the credit points of the vehicle parked in the parking space corresponding to the charging pile are updated according to the monitoring result of the parking space monitoring instruction and whether the charging pile equipment is abnormal. When the current state type of the charging pile is an idle state, a parking space monitoring instruction is triggered, and the credit points of the vehicle parked in the parking space corresponding to the charging pile are updated according to the monitoring result of the parking space monitoring instruction and whether the charging pile equipment is abnormal. When the current state type of the charging pile is an idle state, a parking space monitoring instruction is triggered, and the credit points of the vehicle parked in the parking space corresponding to the charging pile are updated according to the monitoring result of the parking space monitoring instruction and whether the charging pile equipment is abnormal. When the current state type of the charging pile is an idle state, a parking space monitoring instruction is triggered, and the credit points of the vehicle parked in the parking space corresponding to the charging pile are updated according to the monitoring result of the parking space monitoring instruction and whether the charging pile equipment is abnormal. When the current state type of the charging pile is an idle state, a parking space monitoring instruction is triggered, and the credit points of the vehicle parked in the parking space corresponding to the charging pile are updated according to the monitoring result of the parking space monitoring instruction and whether the charging pile equipment is abnormal. When the current state type of the charging pile is an idle state, a parking space monitoring instruction is triggered, and the credit points of the vehicle parked in the parking space corresponding to the charging pile are updated according to the monitoring result of the parking space monitoring instruction and whether the charging pile equipment is abnormal. When the current state type of the charging pile is an idle state, a parking space monitoring instruction is triggered, and the credit points of the vehicle parked in the parking space corresponding to the charging pile are updated according to the monitoring result of the parking space monitoring instruction and whether the charging pile equipment is abnormal. 2.The sharing charging control method based on the Internet of Things according to claim 1, characterized in that, The step of determining the monitoring frequency of each charging pile in each period by using historical data comprises the following steps: Collect historical data, including the start and end charging time of each charging pile in each period; For each charging pile, the total duration from the first start charging to the last end charging is calculated in each period; The step of determining the monitoring frequency of each charging pile in each period by using historical data comprises the following steps: calculate the predicted usage rate of each charging pile in each time period, the predicted usage rate = the charging duration in the time period / the total duration of the time period; determine the monitoring frequency of each time period and each charging pile according to the comparison result of the predicted usage rate and the set threshold value. 3.The sharing charging control method based on the Internet of Things according to claim 1, characterized in that, The step of determining whether the charging pile equipment is abnormal according to the state information of the charging pile in the monitoring period comprises: when the current state type of the charging pile is the charging state, it is determined that the charging pile equipment is normal; when the current state type of the charging pile is the idle state, the actual charging duration of the charging pile in the monitoring period is acquired in real time; the actual usage rate in the monitoring period is determined in real time according to the actual charging duration in the monitoring period and the total duration in the monitoring period; the predicted usage rate of the monitoring period is compared with the actual usage rate, when the difference between the predicted usage rate and the actual usage rate is greater than the preset difference threshold value, and the holding duration of the idle state exceeds the preset duration threshold value, it is preliminarily determined that the charging pile equipment is abnormal, otherwise, it is normal; when it is preliminarily determined that the charging pile equipment is abnormal, the monitoring video of the parking space corresponding to the charging pile in the monitoring period is acquired, and whether there is a vehicle on the parking space is determined in real time according to the monitoring video; when there is no vehicle, it is determined that the preliminary determination result is accurate, it is determined that the charging pile equipment is abnormal, and a charging pile equipment abnormality prompt instruction is generated; when there is a vehicle, the parking duration of each vehicle on the parking space and the total parking duration of each vehicle at the charging station are acquired, when the parking duration of at least one vehicle is less than the preset parking duration, and the difference between the total parking duration and the parking duration on the parking space exceeds the preset time difference, it is determined that the preliminary determination result is accurate, it is determined that the charging pile equipment is abnormal, and a charging pile equipment abnormality prompt instruction is generated; when there is a vehicle, there is no parking duration of at least one vehicle less than the preset parking duration, and the difference between the total parking duration and the parking duration on the parking space exceeds the preset time difference, it is determined that the preliminary determination result is incorrect, it is determined that the charging pile equipment is normal.

4. An Internet of Things based shared charging control system characterized by, The system comprises: a state information acquisition module, configured to determine the monitoring frequency of each charging pile in each time period by using historical data, and acquire the current state information of the charging pile in real time based on the monitoring frequency, wherein the current state information comprises a current state type and a holding duration of the current state type, and the current state type comprises a charging state and an idle state; an equipment abnormality determination module, configured to determine whether the charging pile equipment is abnormal according to the state information of the charging pile in the monitoring period; a credit score updating module, configured to trigger a parking space monitoring instruction when the current state type of the charging pile is the idle state, and update the credit score of the vehicle parked on the parking space corresponding to the charging pile according to the monitoring result of the parking space monitoring instruction and whether the charging pile equipment is abnormal; The credit score updating module comprises: a monitoring video acquisition unit, configured to trigger a parking space monitoring instruction when the current state type of the charging pile is the idle state, and acquire the monitoring video of the parking space corresponding to the charging pile based on the parking space monitoring instruction; a vehicle identification unit, configured to determine whether there is a vehicle on the parking space in real time according to the monitoring video. The integral first updating unit is used for obtaining parking information and recent charging information of the vehicle when the vehicle exists on the parking space and the charging pile device is normal during the process from parking to driving out, the parking information including vehicle entering time, vehicle leaving time, parking duration and license plate information, the recent charging information including charging starting time, charging ending time and charging duration, determining the illegal parking duration according to the parking duration and the charging duration, the illegal parking duration = the parking duration - the charging duration, determining the illegal parking time according to the vehicle entering time, the vehicle leaving time, the charging starting time and the charging ending time, obtaining the predicted usage rate of the time period to which the illegal parking time belongs, determining the illegal parking weight coefficient according to the predicted usage rate, the predicted usage rate and the illegal parking weight coefficient being in a positive correlation, determining the current deduction value of the vehicle credit integral according to the illegal parking duration and the illegal parking weight coefficient, the current deduction value = the illegal parking weight coefficient * the illegal parking duration * unit time deduction value, and updating the credit integral of the vehicle based on the current deduction value of the credit integral; The integral second updating unit is used for determining the current deduction value of the vehicle credit integral as 0 when the vehicle exists on the parking space and the charging pile device is abnormal during the process from parking to driving out; The integral third updating unit is used for determining the current deduction value of the vehicle credit integral as 0 when the vehicle exists on the parking space and the charging pile device changes from normal to abnormal during the process from parking to driving out; The integral fourth updating unit is used for determining the current deduction value of the vehicle credit integral as 0 when the vehicle exists on the parking space and the charging pile device changes from abnormal to normal during the process from parking to driving out.

5. The shared charging control system based on the Internet of Things according to claim 4, characterized in that, The state information obtaining module comprises: A historical data collecting unit is used for collecting historical data, including starting and ending charging time of each charging pile in each time period; A charging duration statistical unit is used for calculating the total duration from the first starting charging to the last ending charging in each time period for each charging pile; A usage rate calculating unit is used for calculating the predicted usage rate of each charging pile in each time period, the predicted usage rate = charging duration in the time period / total duration of the time period; A frequency determining unit is used for determining the monitoring frequency of each time period and each charging pile according to the comparison result of the predicted usage rate and the set threshold.

Images