Shared charging control method and system based on Internet of Things

Abstract

The invention relates to a shared charging control method and system based on the Internet of Things. The method comprises the following steps: determining the monitoring frequency of each charging pile in each time period by using historical data; judging whether the charging pile equipment is abnormal or not according to the state information of the charging pile in the monitoring time period; and when the current state type of the charging pile is an idle state, triggering a parking space monitoring instruction, and updating credit points of a vehicle parked on a parking space corresponding to the charging pile according to a monitoring result of the parking space monitoring instruction and whether the charging pile equipment is abnormal or not. Whether the charging pile equipment is abnormal or not can be found in time based on the use condition of the charging pile, the parking space occupation problem of the non-charging vehicle is further divided, the parking space with the abnormal charging pile equipment is fully utilized, credit points of the vehicle maliciously occupying the charging parking space are deducted, and the charging efficiency is improved. And full utilization of the charging pile is effectively ensured.

Description

Technical Field

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

[0002] With the continuous increase in the number of new energy vehicles, the supply pressure of charging facilities has become 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. Shared charging piles, as a flexible and convenient charging method, can effectively fill this market gap and meet the charging needs of electric vehicle users. Therefore, from the perspective of market demand, shared charging piles for electric vehicles have broad market prospects. Due to poor management or lack of effective supervision, fuel vehicles or non-charging vehicles often occupy charging parking spaces, resulting in new energy vehicles being unable to use charging piles for charging normally. This not only wastes public resources, but also brings great inconvenience to new energy vehicle users. In addition, since the charging piles are exposed to the outdoor environment for a long time and are affected by natural factors such as wind and sun, the equipment is prone to failure. However, some charging pile operators are not timely or inadequate in maintenance, resulting in the inability to use the charging piles normally. Therefore, the present invention proposes a shared charging control method and system based on the Internet of Things. ‌‌ Summary of the invention

[0003] The present invention provides a shared charging control method and system based on the Internet of Things to solve the technical problems mentioned in the above background technology.

[0004] To achieve the above object, the present invention provides the following technical solutions: A shared charging control method based on the Internet of Things, the method comprising the following steps: Using historical data to determine the monitoring frequency of each charging pile in each time period, and obtaining 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 retention time of the current state type, and the current state type includes the charging state and the idle state; Determine whether there is any abnormality in the charging pile equipment according to the status information of the charging pile during the monitoring period; 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 vehicles parked in the parking space corresponding to the charging pile are updated according to the monitoring results of the parking space monitoring instruction and whether there is any abnormality in the charging pile device.

[0005] As a further technical solution of the present invention, the step of using historical data to determine the monitoring frequency of each charging pile in each time period includes: Collect historical data, including the start and end charging time of each charging station in each period; For each charging pile, in each time period, calculate the total duration from the first start of charging to the last end of charging; Calculate the predicted utilization rate of each charging pile in each time period, predicted utilization rate = charging time in the time period / total time of the time period; Based on the comparison between the predicted usage rate and the set threshold, the monitoring frequency for each time period and each charging pile is determined.

[0006] As a further technical solution of the present invention, the step of determining whether there is an abnormality in the charging pile device according to the status information of the charging pile during the monitoring period includes: When the current state type of the charging pile is charging state, the charging pile device is determined to be normal; When the current state type of the charging pile is idle, the actual charging time of the charging pile during the monitoring period is obtained in real time; Determine in real time the actual usage rate during the monitoring period according to the actual charging time during the monitoring period and the total charging time during 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 a preset difference threshold, and the duration of the idle state exceeds a preset duration threshold, it is preliminarily determined that the charging pile device 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 during the monitoring period is obtained, and the real-time analysis based on the monitoring video determines whether there is a vehicle in the parking space; When there is no vehicle, it is determined that the preliminary determination result is accurate, the charging pile device is determined to be abnormal, and a charging pile device abnormality prompt instruction is generated; When there are vehicles, the parking time of each vehicle in this parking space and the total parking time in this charging station are obtained. When the parking time of at least one vehicle is less than the preset parking time, and the difference between the total parking time and the parking time in this parking space exceeds the preset time difference, it is determined that the preliminary determination result is accurate, the charging pile device is determined to be abnormal, and a charging pile device abnormality prompt instruction is generated; When there is a vehicle, and there is no vehicle whose parking time is less than the preset parking time, and the difference between the total parking time and the parking time in this parking space exceeds the preset time difference, it is determined that the preliminary determination result is wrong and the charging pile equipment is determined to be normal.

[0007] As a further technical solution of the present invention, when the current state type of the charging pile is an idle state, the 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 there is an abnormality in the charging pile device, including: When the current state type of the charging pile is an idle state, a parking space monitoring instruction is triggered, and a monitoring video of the parking space corresponding to the charging pile is obtained based on the parking space monitoring instruction; Determine whether there is a vehicle in the parking space based on real-time analysis of surveillance video; When there is a vehicle in the parking space, and the charging pile equipment is kept normal from the time the vehicle is parked in to the time it is driven out, the parking information and the most 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 most 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, and the illegal parking duration = parking duration - charging duration; the illegal parking time is determined according to the vehicle entry time, the vehicle exit time, the charging start time and the charging end time, and the predicted usage rate of the time period to which the illegal parking time belongs is obtained, and the illegal parking weight coefficient is determined according to the predicted usage rate, and the predicted usage rate is positively correlated with the illegal parking weight coefficient. The current deduction value of the vehicle credit score is determined according to the illegal parking duration and the illegal parking weight coefficient, and the current deduction value = illegal parking weight coefficient * illegal parking duration * unit time deduction value, and the vehicle credit score is updated based on the current deduction value of the credit score; When there is a vehicle in the parking space and the charging pile equipment remains abnormal from the time the vehicle is parked in to the time it is driven out, the current deduction value of the vehicle credit score is determined to be 0; When there is a vehicle in the parking space, and the charging pile equipment changes from normal to abnormal during the process from the vehicle parking in to the vehicle driving out, the current deduction value of the vehicle credit score is determined to be 0; When there is a vehicle in the parking space and the charging pile equipment changes from abnormal to normal during the process from the vehicle parking in to the vehicle driving out, it is determined that the current deduction value of the vehicle credit point is 0.

[0008] Another object of the present invention is to provide a shared charging control system based on the Internet of Things, the system comprising: A status information acquisition module, used to determine the monitoring frequency of each charging pile in each time period using historical data, and to acquire 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 retention time of the current status type, and the current status type includes the charging state and the idle state; The device abnormality determination module is used to determine whether the charging pile device has an abnormality according to the status information of the charging pile during the monitoring period; 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 according to the monitoring result of the parking space monitoring instruction and whether there is any abnormality in the charging pile equipment.

[0009] As a further technical solution of the present invention, the status information acquisition module includes: 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; A 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; A usage rate calculation unit is used to calculate the predicted usage rate of each charging pile in each time period, where the predicted usage rate = charging time in the time period / total time in the time period; The frequency determination unit is used to 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.

[0010] As a further technical solution of the present invention, the credit score updating module includes: 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; The vehicle identification unit is used to determine whether there is a vehicle in the parking space based on real-time analysis of the surveillance video; The first integral updating unit is used to obtain the parking information and the most recent charging information of the vehicle when there is a vehicle in the parking space and the charging pile equipment has been kept normal from the time the vehicle is parked in to the time it is driven out. The most recent charging information refers to the charging information generated by the charging behavior during this parking. The parking information includes the vehicle entry time, the vehicle exit time, the parking duration and the license plate information; the most 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, and the illegal parking duration = the parking duration - the charging duration; the illegal parking duration is determined according to the vehicle entry time, the vehicle exit time, the charging start time and the charging duration. The illegal parking time is determined based on the charging end time, and the predicted usage rate of the time period to which the illegal parking time belongs is obtained. The illegal parking weight coefficient is determined based on the predicted usage rate, and the predicted usage rate is positively correlated with the illegal parking weight coefficient. The current deduction value of the vehicle credit points is determined based on the illegal parking time and the illegal parking weight coefficient. The current deduction value = illegal parking weight coefficient * illegal parking time * 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. The credit points of the vehicle are updated based on the current deduction value of the credit points. The second credit updating unit is used to determine that the current deduction value of the vehicle credit is 0 when there is a vehicle in the parking space and the charging pile device remains abnormal from the time the vehicle is parked in to the time it is driven out; The third credit updating unit is used to determine that the current deduction value of the vehicle credit is 0 when there is a vehicle in the parking space and the charging pile equipment changes from normal to abnormal during the process from the vehicle parking in to the vehicle driving out; The fourth credit updating unit is used to determine that the current deduction value of the vehicle credit score is 0 when there is a vehicle in the parking space and the charging pile equipment changes from abnormal to normal during the process from the vehicle parking in to the vehicle driving out.

[0011] Compared with the prior art, the beneficial effects of the present invention are as follows: the present invention provides a shared charging control method and system based on the Internet of Things, in which it is possible to timely discover whether there is any abnormality in the charging pile equipment based on the usage of the charging pile, and in the present invention, the problem of non-charging vehicles occupying parking spaces is further divided, and the parking spaces with abnormal charging pile equipment are fully utilized. At the same time, the credit points of vehicles that maliciously occupy charging parking spaces are deducted, effectively ensuring the full utilization of the charging piles. BRIEF DESCRIPTION OF THE DRAWINGS

[0012] Figure 1 The figure is a flowchart of a shared charging control method based on the Internet of Things.

[0013] Figure 2 The present invention is a flowchart of a monitoring frequency determination step in a shared charging control method based on the Internet of Things.

[0014] Figure 3 This is a structural block diagram of a shared charging control system based on the Internet of Things. DETAILED DESCRIPTION

[0015] In order to make the technical problems, technical solutions and beneficial effects to be solved by the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0016] like Figure 1 As shown, an embodiment of the present invention provides a shared charging control method based on the Internet of Things, and the method includes the following steps: Step S100, using historical data to determine the monitoring frequency of each charging pile in each time period, and obtaining 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 retention time of the current state type, and the current state type includes the charging state and the idle state; Step S200, determining whether there is an abnormality in the charging pile device according to the status information of the charging pile during the monitoring period; Step S300, 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 vehicles parked in the parking space corresponding to the charging pile are updated according to the monitoring results of the parking space monitoring instruction and whether there is an abnormality in the charging pile equipment; when the current state type of the charging pile is a charging state, the credit points of the vehicles parked in the parking space corresponding to the charging pile are not updated.

[0017] In this embodiment, the monitoring frequency of each charging pile in each time period is first determined based on historical data, so that high-frequency monitoring of the charging pile is achieved during the peak charging period, and low-frequency monitoring of the charging pile is achieved during the high and low charging periods, so as to achieve timely acquisition of current status information, and determine whether the charging pile equipment is abnormal based on the status information of the charging pile during the monitoring period. In the present invention, it is possible to timely discover whether the charging pile equipment is abnormal based on the usage of the charging pile. 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 results of the parking space monitoring instruction and whether the charging pile equipment is abnormal. 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; in the present invention, the problem of non-charging vehicles occupying parking spaces is further divided, and parking spaces with abnormal charging pile equipment are fully utilized. At the same time, the credit points of vehicles that maliciously occupy charging parking spaces are deducted, which effectively ensures the full utilization of charging piles.

[0018] See also Figure 2 As another preferred embodiment of the present invention, the step of using historical data to determine the monitoring frequency of each charging pile in each time period includes: Step S101, collecting historical data, including the start and end charging time of each charging pile in each time period; arranging the collected historical charging data by charging pile number and time period for subsequent analysis; Step S102, for each charging pile, in each time period, calculate the total duration from the first start of charging to the last end of charging. 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); Step S103, calculate the predicted usage rate of each charging pile in each time period, predicted usage rate = charging time in the time period / total time of the time period, usually the average predicted usage rate of each charging pile in each time period is calculated; according to business needs, set one or more predicted usage rate thresholds to determine different monitoring frequencies; Step S104, based on the comparison result between the predicted usage rate and the set threshold, determine the monitoring frequency for each time period and each charging pile. 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, the monitoring frequency is determined to be the first monitoring frequency; when the predicted usage rate is less than the first threshold and greater than or equal to the second threshold, the monitoring frequency is determined to be the second monitoring frequency; when the predicted usage rate is less than the second threshold, the monitoring frequency is determined to be the third monitoring frequency, and the first monitoring frequency>the second monitoring frequency>the third monitoring frequency.

[0019] In this embodiment, the predicted utilization rate of each charging pile in each time period is calculated based on historical data. In actual applications, a utilization rate prediction model can also be established based on the historical data to predict the predicted utilization rate of each charging pile in each time period. Then, on this basis, the monitoring frequency of each time period and each charging pile is determined according to the comparison result of the predicted utilization rate with the set threshold, so as to realize timely discovery of occupied vehicles and timely update of the vehicle's credit points.

[0020] As another preferred embodiment of the present invention, the step of determining whether there is an abnormality in the charging pile device according to the status information of the charging pile during the monitoring period includes: When the current state type of the charging pile is charging state, the charging pile device is determined to be normal; When the current state type of the charging pile is an idle state, the actual charging time of the charging pile within the monitoring period is obtained in real time; wherein the monitoring period may refer to the current period or the previous period of the current period; Determine in real time the actual usage rate during the monitoring period according to the actual charging time during the monitoring period and the total charging time during 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 a preset difference threshold, and the duration of the idle state exceeds a preset duration threshold, it is preliminarily determined that the charging pile device 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 during the monitoring period is obtained, and the real-time analysis based on the monitoring video determines whether there is a vehicle in the parking space; When there is no vehicle, it is determined that the preliminary determination result is accurate, the charging pile device is determined to be abnormal, and a charging pile device abnormality prompt instruction is generated; When there are vehicles, the parking time of each vehicle in this parking space and the total parking time in this charging station are obtained. When the parking time of at least one vehicle is less than the preset parking time, and the difference between the total parking time and the parking time in this parking space exceeds the preset time difference, it is determined that the preliminary determination result is accurate, the charging pile device is determined to be abnormal, and a charging pile device abnormality prompt instruction is generated; When there is a vehicle, and there is no vehicle whose parking time is less than the preset parking time, and the difference between the total parking time and the parking time in this parking space exceeds the preset time difference, it is determined that the preliminary determination result is wrong and the charging pile equipment is determined to be normal.

[0021] In this embodiment, each charging pile device is promptly determined based on the status type of each charging pile and the parking time of each parking space, so that whether the charging pile device has any abnormality can be discovered in time.

[0022] As another preferred embodiment of the present invention, 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 vehicle parked in the parking space corresponding to the charging pile according to the monitoring result of the parking space monitoring instruction and whether there is an abnormality in the charging pile device include: When the current state type of the charging pile is an idle state, a parking space monitoring instruction is triggered, and a monitoring video of the parking space corresponding to the charging pile is obtained based on the parking space monitoring instruction; Determine whether there is a vehicle in the parking space based on real-time analysis of surveillance video; When there is a vehicle in the parking space and the charging pile equipment remains normal from the time the vehicle is parked in to the time it is driven out, the parking information and the most recent charging information of the vehicle are obtained. The most recent charging information refers to the charging information generated by the charging behavior during this parking. The parking information includes the vehicle entry time, vehicle exit time, parking duration and license plate information; the most recent charging information includes the charging start time, charging end time and charging duration; the illegal parking duration is determined based on the parking duration and charging duration, where the illegal parking duration = parking duration - charging duration; the illegal parking duration is determined based on the vehicle entry time, vehicle exit time, charging start time and charging end time Determine the illegal parking time, obtain the predicted usage rate of the time period to which the illegal parking time belongs, determine the illegal parking weight coefficient according to the predicted usage rate, the predicted usage rate is positively correlated with the illegal parking weight coefficient, determine the current deduction value of the vehicle credit points according to the illegal parking time and the illegal parking weight coefficient, the current deduction value = illegal parking weight coefficient * illegal parking time * 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 hourly deduction value, and the vehicle credit points are updated based on the current deduction value of the credit points; When there is a vehicle in the parking space and the charging pile equipment remains abnormal from the time the vehicle is parked in to the time it is driven out, the current deduction value of the vehicle credit score is determined to be 0; When there is a vehicle in the parking space, and the charging pile equipment changes from normal to abnormal during the process from the vehicle parking in to the vehicle driving out, the current deduction value of the vehicle credit score is determined to be 0; When there is a vehicle in the parking space and the charging pile equipment changes from abnormal to normal during the process from the vehicle parking in to the vehicle driving out, it is determined that the current deduction value of the vehicle credit point is 0.

[0023] In this embodiment, the present invention further divides the problem of non-charging vehicles occupying parking spaces, fully utilizing the parking spaces with abnormal charging pile equipment, and also deducts credit points from vehicles that maliciously occupy charging parking spaces, effectively ensuring full utilization of charging piles.

[0024] See also Figure 3 Another object of the present invention is to provide a shared charging control system based on the Internet of Things, the system comprising: The status information acquisition module 100 is used to determine the monitoring frequency of each charging pile in each time period using historical data, and 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 retention time of the current status type, and the current status type includes the charging state and the idle state; The device abnormality determination module 200 is used to determine whether the charging pile device has an abnormality according to the status information of the charging pile during the monitoring period; The credit score updating module 300 is used 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 in the parking space corresponding to the charging pile according to the monitoring result of the parking space monitoring instruction and whether there is an abnormality in the charging pile device.

[0025] As another preferred embodiment of the present invention, the state information acquisition module 100 includes: A historical data collection unit is used to collect historical data, including the start and end charging time of each charging pile in each time period; the collected historical charging data is sorted by charging pile number and time period for subsequent analysis; 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. If there are multiple charging periods, the time of each period is accumulated; the total time of each period is fixed, for example, if the period is in hours, the total time is 1 hour (or 60 minutes); The 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. Usually, the average predicted usage rate of each charging pile in each time period is calculated; according to business needs, one or more predicted usage rate thresholds are set to determine different monitoring frequencies; The frequency determination unit is used to 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. Specifically, two thresholds are generally set, usually the first threshold value and the second threshold value. When the predicted usage rate is greater than or equal to the first threshold value, the monitoring frequency is determined to be the 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, the monitoring frequency is determined to be the second monitoring frequency; when the predicted usage rate is less than the second threshold value, the monitoring frequency is determined to be the third monitoring frequency, and the first monitoring frequency>the second monitoring frequency>the third monitoring frequency.

[0026] As another preferred embodiment of the present invention, the credit score updating module 300 includes: 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; The vehicle identification unit is used to determine whether there is a vehicle in the parking space based on real-time analysis of the surveillance video; The first integral updating unit is used to obtain the parking information and the most recent charging information of the vehicle when there is a vehicle in the parking space and the charging pile equipment has been kept normal from the time the vehicle is parked in to the time it is driven out. The most recent charging information refers to the charging information generated by the charging behavior during this parking. The parking information includes the vehicle entry time, the vehicle exit time, the parking duration and the license plate information; the most 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, and the illegal parking duration = the parking duration - the charging duration; the illegal parking duration is determined according to the vehicle entry time, the vehicle exit time, the charging start time and the charging duration. The illegal parking time is determined based on the charging end time, and the predicted usage rate of the time period to which the illegal parking time belongs is obtained. The illegal parking weight coefficient is determined based on the predicted usage rate, and the predicted usage rate is positively correlated with the illegal parking weight coefficient. The current deduction value of the vehicle credit points is determined based on the illegal parking time and the illegal parking weight coefficient. The current deduction value = illegal parking weight coefficient * illegal parking time * 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. The credit points of the vehicle are updated based on the current deduction value of the credit points. The second credit updating unit is used to determine that the current deduction value of the vehicle credit is 0 when there is a vehicle in the parking space and the charging pile device remains abnormal from the time the vehicle is parked in to the time it is driven out; The third credit updating unit is used to determine that the current deduction value of the vehicle credit is 0 when there is a vehicle in the parking space and the charging pile equipment changes from normal to abnormal during the process from the vehicle parking in to the vehicle driving out; The fourth credit updating unit is used to determine that the current deduction value of the vehicle credit is 0 when there is a vehicle in the parking space and the charging pile equipment changes from abnormal to normal during the process from the vehicle parking in to the vehicle driving out.

[0027] It should be noted that, in this article, the term "comprises" 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 includes not only those elements, but also includes other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of more restrictions, an element defined by the sentence "comprises a ..." does not exclude the existence of other identical elements in the process, method, article or device including the element.

[0028] The above are only preferred embodiments of the present invention, and are not intended to limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made using the contents of the present invention specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. A shared charging control method based on the Internet of Things, characterized in that: The method comprises the following steps: Using historical data to determine the monitoring frequency of each charging pile in each time period, and obtaining 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 retention time of the current state type, and the current state type includes the charging state and the idle state; Determine whether there is any abnormality in the charging pile equipment according to the status information of the charging pile during the monitoring period; 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 vehicles parked in the parking space corresponding to the charging pile are updated according to the monitoring results of the parking space monitoring instruction and whether there is any abnormality in the charging pile device.

2. A shared charging control method based on the Internet of Things according to claim 1, characterized in that: The step of using historical data to determine the monitoring frequency of each charging pile in each time period includes: Collect historical data, including the start and end charging time of each charging station in each period; For each charging pile, in each time period, calculate the total duration from the first start of charging to the last end of charging; Calculate the predicted utilization rate of each charging pile in each time period, predicted utilization rate = charging time in the time period / total time of the time period; Based on the comparison between the predicted usage rate and the set threshold, the monitoring frequency for each time period and each charging pile is determined.

3. A shared 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 status information of the charging pile during the monitoring period includes: When the current state type of the charging pile is charging state, the charging pile device is determined to be normal; When the current state type of the charging pile is idle, the actual charging time of the charging pile during the monitoring period is obtained in real time; Determine in real time the actual usage rate during the monitoring period according to the actual charging time during the monitoring period and the total charging time during 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 a preset difference threshold, and the duration of the idle state exceeds a preset duration threshold, it is preliminarily determined that the charging pile device 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 during the monitoring period is obtained, and the real-time analysis based on the monitoring video determines whether there is a vehicle in the parking space; When there is no vehicle, it is determined that the preliminary determination result is accurate, the charging pile device is determined to be abnormal, and a charging pile device abnormality prompt instruction is generated; When there are vehicles, the parking time of each vehicle in this parking space and the total parking time in this charging station are obtained. When the parking time of at least one vehicle is less than the preset parking time, and the difference between the total parking time and the parking time in this parking space exceeds the preset time difference, it is determined that the preliminary determination result is accurate, the charging pile device is determined to be abnormal, and a charging pile device abnormality prompt instruction is generated; When there is a vehicle, and there is no vehicle whose parking time is less than the preset parking time, and the difference between the total parking time and the parking time in this parking space exceeds the preset time difference, it is determined that the preliminary determination result is wrong and the charging pile equipment is determined to be normal.

4. The shared charging control method based on the Internet of Things according to claim 1 is characterized in that: 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 there is an abnormality in the charging pile device, including: When the current state type of the charging pile is an idle state, a parking space monitoring instruction is triggered, and a monitoring video of the parking space corresponding to the charging pile is obtained based on the parking space monitoring instruction; Determine whether there is a vehicle in the parking space based on real-time analysis of surveillance video; When there is a vehicle in the parking space, and the charging pile equipment is kept normal from the time the vehicle is parked in to the time it is driven out, the parking information and the most 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 most 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, and the illegal parking duration = parking duration - charging duration; the illegal parking time is determined according to the vehicle entry time, the vehicle exit time, the charging start time and the charging end time, and the predicted usage rate of the time period to which the illegal parking time belongs is obtained, and the illegal parking weight coefficient is determined according to the predicted usage rate, and the predicted usage rate is positively correlated with the illegal parking weight coefficient. The current deduction value of the vehicle credit score is determined according to the illegal parking duration and the illegal parking weight coefficient, and the current deduction value = illegal parking weight coefficient * illegal parking duration * unit time deduction value, and the vehicle credit score is updated based on the current deduction value of the credit score; When there is a vehicle in the parking space and the charging pile equipment remains abnormal from the time the vehicle is parked in to the time it is driven out, the current deduction value of the vehicle credit score is determined to be 0; When there is a vehicle in the parking space, and the charging pile equipment changes from normal to abnormal during the process from the vehicle parking in to the vehicle driving out, the current deduction value of the vehicle credit score is determined to be 0; When there is a vehicle in the parking space and the charging pile equipment changes from abnormal to normal during the process from the vehicle parking in to the vehicle driving out, it is determined that the current deduction value of the vehicle credit point is 0.

5. A shared charging control system based on the Internet of Things, characterized in that: The system comprises: A status information acquisition module, used to determine the monitoring frequency of each charging pile in each time period using historical data, and to acquire 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 retention time of the current status type, and the current status type includes the charging state and the idle state; The device abnormality determination module is used to determine whether the charging pile device has an abnormality according to the status information of the charging pile during the monitoring period; 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 according to the monitoring result of the parking space monitoring instruction and whether there is any abnormality in the charging pile equipment.

6. A shared charging control system based on the Internet of Things according to claim 5, characterized in that: The status information acquisition module includes: 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; A 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; A usage rate calculation unit is used to calculate the predicted usage rate of each charging pile in each time period, where the predicted usage rate = charging time in the time period / total time in the time period; The frequency determination unit is used to 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.

7. The shared charging control system based on the Internet of Things according to claim 5 is characterized in that: The credit score update module includes: 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; The vehicle identification unit is used to determine whether there is a vehicle in the parking space based on real-time analysis of the surveillance video; The first points updating unit is used to obtain the parking information and the most recent charging information of the vehicle when there is a vehicle in the parking space and the charging pile equipment is kept normal from the time the vehicle is parked in to the time it is driven out, wherein the parking information includes the vehicle entry time, the vehicle exit time, the parking duration and the license plate information; the most 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, and the illegal parking duration=the parking duration-the charging duration; the illegal parking time is determined according to 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 illegal parking weight coefficient is determined according to the predicted usage rate, and the predicted usage rate is positively correlated with the illegal parking weight coefficient; the current deduction value of the vehicle credit points is determined according to the illegal parking duration and the illegal parking weight coefficient, and the current deduction value=the illegal parking weight coefficient*the illegal parking duration*the unit time deduction value; the credit points of the vehicle are updated based on the current deduction value of the credit points; The second credit updating unit is used to determine that the current deduction value of the vehicle credit is 0 when there is a vehicle in the parking space and the charging pile device remains abnormal from the time the vehicle is parked in to the time it is driven out; The third credit updating unit is used to determine that the current deduction value of the vehicle credit is 0 when there is a vehicle in the parking space and the charging pile equipment changes from normal to abnormal during the process from the vehicle parking in to the vehicle driving out; The fourth credit updating unit is used to determine that the current deduction value of the vehicle credit score is 0 when there is a vehicle in the parking space and the charging pile equipment changes from abnormal to normal during the process from the vehicle parking in to the vehicle driving out.

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