A parking lot management method and system based on carbon credit tendency

Abstract

The present application relates to the technical field of low-carbon parking lots, and in particular to a parking lot management method and system based on carbon credit tendency, which includes: obtaining basic parking lot information; calculating the minimum carbon emission and maximum carbon emission corresponding to the parking lot based on the basic parking lot information combined with a preset carbon factor database; calculating the dynamic carbon credit state corresponding to each parking space; obtaining the current carbon emission, and judging the position of the current carbon emission between the minimum carbon emission and the maximum carbon emission to obtain the first factor; obtaining the current earned carbon credits, and calculating the relationship between the ratio of the earned carbon credits to the number of vehicles in the field and the preset value to obtain the second factor; calculating the carbon score based on the first factor and the second factor, and judging the low-carbon management tendency based on the carbon score and the current parking lot status information in the field, and generating the corresponding optimal management plan based on the low-carbon management tendency. The present application has the effect of improving the carbon emission management capability of the parking lot.

Description

Technical Field

[0001] The present application relates to the technical field of low-carbon parking lots, and in particular to a parking lot management method and system based on carbon credit tendency. Background Art

[0002] At present, with the continuous increase in the number of cars, more and more parking lots are being built and put into operation. Vehicles are important entities in carbon emissions in the current environment. The low-carbon management and construction of parking lots is also an important part of achieving low carbon.

[0003] For parking lots, difficulty in parking is a major issue that causes increased carbon emissions. During the construction and management of parking lots, the coordinated management between the entrance parking lot and the remaining parking spaces, the complex routes and difficulty in finding parking spaces in large parking lots will cause vehicles to repeatedly drive at low speeds in the parking lot, resulting in larger carbon emissions.

[0004] Currently, carbon emission detection and management of parking lots are in a relatively blank stage. Parking lot managers are unable to supervise the low-carbon construction status of the current parking lot through dynamic and intuitive carbon data. This results in parking lot managers being unable to judge the current carbon emission status and carbon reform capabilities of the parking lot, and are also unable to provide carbon reform plans under corresponding scenarios, resulting in poor responsiveness to low-carbon construction management. Summary of the invention

[0005] In order to improve the carbon emission management capability of a parking lot, the present application provides a parking lot management method and system based on carbon credit tendency.

[0006] In the first aspect, the present application provides a parking lot management method based on carbon credit tendency, which adopts the following technical solution:

[0007] A parking lot management method based on carbon credit tendency includes the following steps:

[0008] Obtaining basic parking lot information, including the number of parking spaces, parking space locations, number of entrances and exits, and entrance and exit locations;

[0009] Calculate the minimum carbon emission and the maximum carbon emission corresponding to the parking lot based on the basic information of the parking lot and in combination with a preset carbon factor database;

[0010] Calculate the dynamic carbon score corresponding to each parking space based on the minimum carbon emission and the maximum carbon emission, wherein each carbon score corresponds to a different entry and exit scenario, and each parking space has one or more dynamic carbon scores corresponding to the different entry and exit scenarios;

[0011] Acquire a current carbon emission, and determine a position of the current carbon emission between the minimum carbon emission and the maximum carbon emission to obtain a first factor;

[0012] Obtaining currently earned carbon credits, and calculating a relationship between a ratio of the earned carbon credits to the number of vehicles in the field and a preset value to obtain a second factor;

[0013] The carbon score is calculated based on the first factor and the second factor, and the low-carbon management tendency is determined based on the carbon score and parking lot status information in the current parking lot, and a corresponding optimal management plan is generated based on the low-carbon management tendency.

[0014] In some embodiments, the minimum carbon emission and the maximum carbon emission corresponding to the parking lot are calculated based on the parking lot basic information combined with a preset carbon factor database, including the following steps:

[0015] Based on the entrance and exit positions and the parking space positions, the shortest distance required for each entrance and exit to reach all parking spaces is calculated, and the carbon emission value per unit distance is obtained in the carbon factor database to calculate the first carbon emission required for each entrance and exit to reach all parking spaces;

[0016] Calculating the minimum carbon emission based on an average of a plurality of the first carbon emissions;

[0017] Acquire a maximum closed circle and a corresponding circle length corresponding to the parking lot according to the positions of the parking spaces, wherein the maximum closed circle is characterized as a single circle with the longest travel distance when the starting point and the end point are the same among the paths formed by the plurality of roads in the parking lot;

[0018] The longest distance sum is calculated based on the circle length and the number of parking spaces, and the maximum carbon emission is calculated based on the carbon emission value per unit distance.

[0019] In some embodiments, calculating the dynamic carbon score corresponding to each parking space based on the minimum carbon emission and the maximum carbon emission includes the following steps:

[0020] Calculate the difference between the minimum carbon emission and the maximum carbon emission, and calculate the total carbon credit corresponding to the parking lot in combination with a preset carbon credit coefficient;

[0021] Acquire a function corresponding to each of the parking spaces to generate a first parameter, wherein the function includes a charging parking space and a fuel parking space, wherein the first parameter of the fuel parking space is greater than the first parameter of the charging parking space;

[0022] Obtaining the shortest distance between each of the parking spaces and each of the entrances and exits to generate one or more second parameters, wherein the shorter the shortest distance, the larger the second parameter;

[0023] Obtaining the current congestion level of the parking lot to generate a third parameter, wherein the more severe the congestion level is, the greater the third parameter is;

[0024] The dynamic carbon score corresponding to each of the parking spaces is calculated from the total carbon score based on the first parameter, the second parameter, and the third parameter.

[0025] In some embodiments, obtaining the current carbon emission and determining the position of the current carbon emission between the minimum carbon emission and the maximum carbon emission to obtain the first factor comprises the following steps:

[0026] Obtaining entry video information of all vehicles in the venue, and extracting the type and driving trajectory of the vehicles in the venue, estimating the driving distance based on the driving trajectory of the vehicles in the venue, and calculating the carbon emissions of each vehicle based on the type and the driving distance, and calculating the current carbon emissions based on the carbon emissions of each vehicle and the number of vehicles in the venue;

[0027] Calculate respectively a first difference between the current carbon emission and the minimum carbon emission and a second difference between the current carbon emission and the maximum carbon emission, wherein the minimum carbon emission is characterized as the ideal minimum carbon emission corresponding to the current number of vehicles in the field, and the maximum carbon emission is characterized as the ideal maximum carbon emission corresponding to the current number of vehicles in the field;

[0028] A third difference between the absolute value of the first difference and the absolute value of the second difference is calculated, and the first factor is generated based on the size of the third difference, wherein the larger the third difference is, the larger the first factor is.

[0029] In some embodiments, obtaining the current earned carbon credits and calculating the relationship between the ratio of the earned carbon credits to the number of vehicles in the field and a preset value to obtain the second factor includes the following steps:

[0030] The state of each parking space is obtained, and when the parking space enters a parking state, the dynamic carbon points corresponding to the parking space are converted into earned carbon points;

[0031] Obtaining the dynamic carbon points corresponding to each of the parking spaces in the parking state at a current time point to obtain a current total point;

[0032] Obtain the number of vehicles in the parking lot at the current time point and combine it with the current total points to calculate the average earned carbon points corresponding to each of the vehicles;

[0033] The second factor is generated based on the average earned carbon credits, wherein the larger the average earned carbon credits are, the larger the second factor is.

[0034] In some embodiments, calculating the carbon score based on the first factor and the second factor comprises the following steps:

[0035] Creating a standard parking scenario that matches the current number of vehicles in the parking lot, and obtaining a standard first factor and a standard second factor under the standard parking scenario;

[0036] respectively calculating a first deviation between the first factor and a standard first factor and a second deviation between the second factor and the standard second factor;

[0037] generating a contradiction amount based on a numerical relationship and a directional relationship between the first deviation and the second deviation;

[0038] The carbon score is calculated based on the amount of contradiction and a preset carbon full score.

[0039] In some embodiments, generating the contradiction amount based on the numerical relationship and the directional relationship between the first deviation and the second deviation comprises the following steps:

[0040] When the first deviation and the second deviation are in the same direction, a first contradiction amount is generated;

[0041] When the first deviation and the second deviation are opposite:

[0042] If the first deviation is smaller than the second deviation, a second contradiction amount is generated, and if the second deviation is smaller than the first deviation, a third contradiction amount is generated;

[0043] When the numerical relationship between the first deviation and the second deviation is the same, the first contradiction amount is smaller than the third contradiction amount, and the third contradiction amount is smaller than the second contradiction amount.

[0044] In some embodiments, judging a low-carbon management tendency based on the carbon score and parking lot status information in the current parking lot, and generating a corresponding optimal management plan based on the low-carbon management tendency include the following steps:

[0045] If the carbon score is less than the passing score, it corresponds to a remediation tendency, and if the carbon score is less than the excellent score, it corresponds to an optimization tendency;

[0046] In the above mentioned regulation tendency,

[0047] The remaining number of parking spaces is calculated based on the parking lot status information, and when the remaining number of parking spaces is less than a preset value, the optimal management solution is the entrance closing solution;

[0048] Based on the parking lot information, the distribution information of the remaining parking spaces is obtained. When the distribution information is dispersed, the optimal management solution is a parking guidance solution. When the distribution information is concentrated, an entrance and exit control solution is generated.

[0049] The type of vehicles in the parking lot is obtained based on the parking lot information. If the number of fuel vehicles is greater than a preset value, the optimal management solution is a fuel vehicle prohibition solution.

[0050] In the optimization tendency,

[0051] Based on the parking lot information, the vehicle type and the number of remaining parking spaces are obtained. When the number of remaining parking spaces is less than a preset value and the number of fuel vehicles is greater than a preset value, the optimal solution is a shared parking space solution.

[0052] When the remaining number of parking spaces is not less than a preset value, the optimal management solution is a parking guidance solution.

[0053] In some of the embodiments, the following steps are also included:

[0054] The earned carbon points are sent to the car owner and the parking lot management end respectively;

[0055] The car owner side exchanges parking exemption benefits based on the earned carbon points, and the parking lot management side increases the low-carbon response evaluation based on the earned carbon points.

[0056] In the second aspect, the present application provides a parking lot management system based on carbon credit tendency, which adopts the following technical solution:

[0057] A parking lot management system based on carbon credit tendency, comprising:

[0058] A basic information acquisition module is used to acquire basic parking lot information, wherein the basic parking lot information includes the number of parking spaces, parking space locations, the number of entrances and exits, and the locations of the entrances and exits;

[0059] A standard carbon index calculation module, used to calculate the minimum carbon emission and the maximum carbon emission corresponding to the parking lot based on the basic information of the parking lot and in combination with a preset carbon factor database;

[0060] A carbon credit calculation module, which calculates the dynamic carbon credit corresponding to each parking space based on the minimum carbon emission and the maximum carbon emission, wherein each carbon credit corresponds to a different entry and exit scenario, and each parking space has one or more dynamic carbon credits corresponding to the different entry and exit scenarios;

[0061] A first carbon factor calculation module, used for obtaining a current carbon emission, and determining a position of the current carbon emission between the minimum carbon emission and the maximum carbon emission to obtain a first factor;

[0062] A second carbon factor calculation module, used to obtain the current earned carbon points, and calculate the relationship between the ratio of the earned carbon points to the number of vehicles in the field and a preset value to obtain a second factor;

[0063] The low-carbon management module calculates the carbon score based on the first factor and the second factor, determines the low-carbon management tendency based on the carbon score and the parking lot status information in the current parking lot, and generates a corresponding optimal management plan based on the low-carbon management tendency.

[0064] The technical solution provided by the embodiments of the present application has the following technical effects:

[0065] The carbon score of the parking lot is calculated comprehensively by combining the basic carbon emissions calculated in advance by the parking lot, the first factor representing the current carbon emission status, and the second factor corresponding to the comprehensive comparison result of the carbon reduction reward and the carbon emission status. Different carbon tendency management methods are selected based on the carbon score to dynamically detect and evaluate the carbon emission status and carbon reform capabilities of the parking lot, and different carbon reform management plans are given based on different carbon scenarios to improve the responsiveness of the parking lot to low-carbon construction management. BRIEF DESCRIPTION OF THE DRAWINGS

[0066] Figure 1 It is a schematic diagram of the steps of a parking lot management method based on carbon credit tendency provided in an embodiment of the present application.

[0067] Figure 2 It is a schematic diagram of module connections of a parking lot management system based on carbon credit tendency provided in an embodiment of the present application. DETAILED DESCRIPTION

[0068] To more clearly understand the purpose, technical solutions and advantages of the present application, the present application is described and illustrated below in conjunction with the accompanying drawings and embodiments. However, it should be understood by those of ordinary skill in the art that the present application can be implemented without these details. In some cases, in order to avoid unnecessary descriptions that make various aspects of the present application obscure, well-known methods, processes, systems, components and / or circuits that have been described at a higher level will not be described in detail. For those of ordinary skill in the art, it is obvious that various changes can be made to the embodiments disclosed in the present application, and without departing from the principles and scope of the present application, the general principles defined in the present application can be applied to other embodiments and application scenarios. Therefore, the present application is not limited to the embodiments shown, but conforms to the broadest scope consistent with the scope claimed for protection of the present application.

[0069] It should be noted that the description of these embodiments is used to help understand the present invention, but does not constitute a limitation of the present invention. In addition, the technical features involved in each embodiment of the present invention described below can be combined with each other as long as there is no conflict between them.

[0070] In the description of this application, "several" means one or more, "more" means more than two, "greater than", "less than", "exceed", etc. are understood to exclude the number itself, and "above", "below", "within", etc. are understood to include the number itself. If there is a description of "first" or "second", it is only used to distinguish the technical features, and cannot be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features or implicitly indicating the order of the indicated technical features.

[0071] In the description of the present application, the description with reference to the terms "one embodiment", "some embodiments", "illustrative embodiments", "examples", "specific examples", or "some examples" means that the specific features, structures, materials, or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials, or characteristics described may be combined in any one or more embodiments or examples.

[0072] The embodiment of the present application discloses a parking lot management method based on carbon credit tendency.

[0073] like Figure 1 As shown, a parking lot management method based on carbon credit tendency includes the following steps:

[0074] S100, obtaining basic parking lot information.

[0075] The basic parking lot information includes the number of parking spaces, parking space locations, the number of entrances and exits, and the locations of entrances and exits. The basic parking lot information is obtained from the drawings or construction information during the parking lot construction phase.

[0076] Different parking lots have different numbers of parking spaces, entrances and exits distributed in different locations. These basic information represent the basic carbon emission information of the parking lot.

[0077] S200, calculating the minimum carbon emission and the maximum carbon emission corresponding to the parking lot based on the basic information of the parking lot and in combination with a preset carbon factor database.

[0078] The minimum and maximum carbon emissions corresponding to the parking lot can be calculated based on the basic information of the parking lot and the carbon emission information in the carbon factor database.

[0079] Among them, the minimum carbon emission is represented by the ideal minimum carbon emission of the parking lot when it is fully loaded, and the maximum carbon emission is represented by the ideal maximum carbon emission of the parking lot when it is fully loaded.

[0080] The maximum carbon emissions and minimum carbon emissions are mainly related to the number of vehicles the parking lot can accommodate, the distance a vehicle needs to travel after entering the corresponding parking space from the entrance, etc.

[0081] S300, calculating the dynamic carbon credits corresponding to each parking space based on the minimum carbon emission and the maximum carbon emission, wherein each carbon credit corresponds to a different entry and exit scenario, and each parking space has one or more dynamic carbon credits corresponding to the different entry and exit scenarios.

[0082] S400, obtaining a current carbon emission, and determining a position of the current carbon emission between a minimum carbon emission and a maximum carbon emission to obtain a first factor.

[0083] The current carbon emission is characterized by the instantaneous carbon emission corresponding to the vehicle situation in the parking lot at the current time point. The first factor for evaluating the carbon emission level is obtained through the positional relationship between the current carbon emission and the minimum and maximum carbon emissions of its corresponding volume standard.

[0084] S500, obtaining the current earned carbon credits, and calculating the relationship between the ratio of the earned carbon credits to the number of vehicles in the field and a preset value to obtain a second factor.

[0085] In the embodiment of the present application, each parking space corresponds to a carbon point of a corresponding value. The earned carbon points represent the low-carbon response reward obtained after the vehicle stops emitting carbon after the parking space is occupied by the vehicle. The larger the carbon points corresponding to each parking space, the better the carbon emission improvement effect after the parking space is selected and occupied by the vehicle.

[0086] The second factor is obtained by obtaining the relationship between the carbon points currently earned by the parking lot and the number of vehicles in the parking lot. The second factor is characterized by the degree of excellence of the comparison between the given reward and the actual carbon emission improvement result.

[0087] S600, calculating the carbon score based on the first factor and the second factor, determining the low-carbon management tendency based on the carbon score and parking lot status information in the current parking lot, and generating a corresponding optimal management plan based on the low-carbon management tendency.

[0088] The carbon score of the parking lot is calculated using the first factor and the second factor. The carbon score is a reflection of the parking lot's ability to control and suppress carbon emissions. When the carbon score is poor, the tendency of carbon management is judged based on the specific carbon score and the current status of the parking lot.

[0089] Carbon management tendencies include stricter tendencies and tendencies that focus on carbon emission optimization. Different tendencies have different optimal management plans corresponding to specific scenarios. The optimal management plans are used to further improve the carbon emission results of parking lots.

[0090] Through the above steps, the carbon score of the parking lot is comprehensively calculated by combining the basic carbon emissions calculated in advance by the parking lot, the first factor representing the current carbon emission status, and the second factor corresponding to the comprehensive comparison result of the carbon reduction reward and the carbon emission status. Different carbon tendency management methods are selected based on the carbon score to dynamically detect and evaluate the carbon emission status and carbon reform capabilities of the parking lot, and different carbon reform management plans are given based on different carbon scenarios to improve the responsiveness of the parking lot to low-carbon construction management.

[0091] In other embodiments, the minimum carbon emission and the maximum carbon emission corresponding to the parking lot are calculated based on the basic information of the parking lot in combination with a preset carbon factor database, including the following steps:

[0092] S210, based on the entrance and exit locations and parking space locations, the shortest distance required for each entrance and exit to reach all parking spaces is calculated, and the carbon emission value per unit distance is obtained from the carbon factor database to calculate the first carbon emission required for each entrance and exit to reach all parking spaces.

[0093] S220, calculating a minimum carbon emission based on an average value of a plurality of first carbon emissions.

[0094] When calculating the minimum carbon emissions, a parking lot model for the minimum carbon emissions scenario is created. In this model, it is stipulated that each vehicle can find a suitable parking space within the shortest driving distance corresponding to each parking space after entering from the entrance, without considering the driving distance paid by the vehicle ineffectively searching for a parking space.

[0095] In this way, the shortest distance and the total distance can be obtained by adding up the shortest driving distances of all parking spaces. At the same time, the carbon emissions required for unit driving distance can be obtained from the carbon factor database to calculate the first carbon emissions required for the shortest distance and the total distance. It should be noted that different models of vehicles have different displacements, and fuel vehicles, new energy vehicles, hybrid vehicles, etc. have different displacements and fuel consumption, so the corresponding unit distance carbon emissions are also different. Therefore, the preset carbon factor database stores the average carbon emissions obtained through research, expert discussions, etc., which can be applied to large parking lot models in most cities.

[0096] S230: Obtain a maximum closed circle corresponding to the parking lot and a corresponding circle length according to the positions of the parking spaces.

[0097] When calculating the maximum carbon emissions, a parking lot model for the maximum carbon emissions scenario is created. In this model, each vehicle entering the parking lot at the entrance needs to drive around the largest closed circle of the parking lot before entering the corresponding parking space. The driving around the parking lot represents the most extreme scenario in which all vehicles in the parking lot have to make a considerable amount of ineffective driving before they can find a parking space.

[0098] The maximum closed circle is characterized as a single circle with the longest driving distance among the paths formed by several roads in the parking lot when the starting point and the end point are the same. In the embodiment of the present application, it can be characterized as the distance corresponding to starting from the entrance position, driving on the outermost road of the parking lot and driving around the outermost circle of the parking lot to return to the entrance.

[0099] The circle length can be calculated using the lengths of the roads in the parking lot basic information.

[0100] S240, calculates the longest distance based on the circle length and the number of parking spaces, and calculates the maximum carbon emission based on the carbon emission per unit distance.

[0101] After obtaining the circle length, multiply it by the number of parking spaces in the parking lot to calculate the longest distance and the maximum carbon emissions can be calculated by combining it with the preset carbon emissions per unit distance.

[0102] In some other embodiments, the dynamic carbon score corresponding to each parking space is calculated based on the minimum carbon emission and the maximum carbon emission, including the following steps:

[0103] S310, calculating the difference between the minimum carbon emission and the maximum carbon emission, and calculating the total carbon credit corresponding to the parking lot in combination with a preset carbon credit coefficient.

[0104] First, calculate the difference between the minimum carbon emissions and the maximum carbon emissions. Since these two values ​​represent the optimal and worst carbon emissions management situations of the parking lot under ideal conditions, the difference between the two represents the adjustable range of carbon emissions in actual situations.

[0105] A carbon credit coefficient is preset, which is used to characterize the proportion of carbon credits that can be exchanged by adjusting carbon emissions of different sizes. Carbon credits themselves are rewards for car owners who park in parking spaces and for management who reasonably manage carbon emissions in parking lots. The total number of carbon credit rewards that can be based on in the actual management process can be obtained through calculations between the carbon credit coefficient and the difference, that is, the total carbon credits.

[0106] S320: Obtain a function corresponding to each parking space to generate a first parameter.

[0107] The functions include charging parking spaces and fuel parking spaces. The first parameter of the fuel parking space is greater than the first parameter of the charging parking space.

[0108] S330: Obtain the shortest distance between each parking space and each entrance and exit to generate one or more second parameters.

[0109] The shorter the shortest distance is, the larger the second parameter is.

[0110] S340: Obtain the current congestion level of the parking lot to generate a third parameter.

[0111] Among them, the more serious the congestion is, the larger the third parameter is.

[0112] S350: Calculate a dynamic carbon score corresponding to each parking space in the total carbon score based on the first parameter, the second parameter, and the third parameter.

[0113] The score that each parking space gets in the total carbon points requires comprehensive consideration of many evaluation factors.

[0114] First, determine whether the parking space corresponds to a fuel parking space or a charging parking space. Because charging parking spaces are generally used for pure electric or hybrid vehicles, their carbon emissions are significantly lower than those of fuel vehicles. Therefore, the parameter values ​​corresponding to charging parking spaces are lower than those of fuel parking spaces. Therefore, under normal circumstances, the carbon credits they receive are also lower than those of fuel parking spaces. It should be noted that the charging parking spaces in this application must have certain parking locks to prevent unwarranted occupation of fuel parking spaces.

[0115] Secondly, it is necessary to determine the shortest distance between each parking space and each entrance and exit. The longer the distance between the entrance and exit to the parking space, the greater the carbon emissions generated by driving to the parking space. Therefore, in order to reduce carbon emissions, the sooner the vehicle parks after entering the parking lot, the greater the reduction in carbon emissions. Therefore, it can obtain more carbon points. Therefore, the shorter the shortest distance, the greater the second parameter.

[0116] At the same time, it should be noted that some parking lots may have multiple entrances and exits, and the distances between different entrances and exits and the same parking space are often different. Therefore, a parking space can have multiple different second parameters, and a parking space can have multiple carbon credits. Which carbon credit is obtained after the subsequent vehicle parks depends on which entrance and exit the vehicle enters from as detected by subsequent cameras.

[0117] At the same time, the second parameter of each parking space can change dynamically within a certain range. Since parking space b next to parking space a is closest to the entrance and exit and after being parked, parking space a becomes the parking space closest to the entrance and exit in the current scenario. Therefore, in this case, the second parameter of parking space a can change to a certain extent according to the situation, and the carbon credit of the parking space can also change to a certain extent. This method makes the calculation of carbon credits more accurate.

[0118] Finally, it is also necessary to determine the congestion level of the current parking lot. The congestion level can be determined by the number of vehicles that have entered the parking lot and the number of parking spaces.

[0119] The more congested the parking lot is, the fewer parking spaces are left, and the more time and distance each vehicle needs to travel to find a parking space. If there are parking spaces occupied in a congested situation, it means that one vehicle that needs to find a car and drive is reduced, and the higher the effect on improving carbon emissions in the current scenario.

[0120] Therefore, the more congested the road is, the larger the third parameter is.

[0121] By calculating several parameters, we can get the carbon credits corresponding to different parking spaces. Combined with the total carbon credits, we can calculate the dynamic carbon credits of each parking space.

[0122] In some other embodiments, obtaining the current carbon emission and determining the position of the current carbon emission between the minimum carbon emission and the maximum carbon emission to obtain the first factor includes the following steps:

[0123] S410, obtain the entry video information of all vehicles in the venue, and extract the type and driving trajectory of the vehicles in the venue, estimate the driving distance based on the driving trajectory of the vehicles in the venue, calculate the carbon emissions of each vehicle based on the type and driving distance, and calculate the current carbon emissions based on the carbon emissions of each vehicle and the number of vehicles in the venue.

[0124] First, the current carbon emissions are calculated and obtained as follows:

[0125] When the camera at the entrance detects a vehicle entering the parking lot, it obtains the type of vehicle based on the color of the license plate, and calls other cameras in the parking lot to track and photograph the vehicle to obtain the vehicle's driving trajectory.

[0126] When a vehicle parks in a parking space, the driving distance is estimated based on its driving trajectory, and the carbon emissions of the vehicle are calculated based on the type of vehicle. In this way, the carbon emissions of all vehicles in the parking lot are added together to get the current carbon emissions.

[0127] S420, respectively calculating a first difference between the current carbon emission and the minimum carbon emission in proportion and a second difference between the current carbon emission and the maximum carbon emission in proportion.

[0128] However, the current carbon emissions are represented by the carbon emissions in the current scenario of the parking lot. The current parking lot may not be full of vehicles. Therefore, it is necessary to proportionally convert the minimum carbon emissions and maximum carbon emissions calculated for the ideal full situation according to the current number of vehicles in the lot, so as to obtain the proportional minimum carbon emissions and proportional maximum carbon emissions corresponding to the current number of vehicles in the lot, so as to improve the calculation accuracy.

[0129] The proportional minimum carbon emission is represented by the ideal minimum carbon emission corresponding to the current number of vehicles in the field, and the proportional maximum carbon emission is represented by the ideal maximum carbon emission corresponding to the current number of vehicles in the field.

[0130] The differences between the current carbon emissions and the calculated minimum proportional carbon emissions and the maximum proportional carbon emissions are calculated respectively.

[0131] S430, calculating a third difference between the absolute value of the first difference and the absolute value of the second difference, and generating a first factor based on the magnitude of the third difference, wherein the larger the third difference is, the larger the first factor is.

[0132] At the same time, the absolute values ​​of the two differences are further calculated to obtain the third difference.

[0133] Under normal circumstances, the current carbon emissions must be between the minimum carbon emissions and the maximum carbon emissions. The calculated third difference is used to indicate the position of the current carbon emissions between the two. The larger the third difference, the closer the current carbon emissions are to the maximum carbon emissions. Conversely, the smaller the third difference, the closer the current carbon emissions are to the minimum carbon emissions.

[0134] The size of the first factor changes with the change of the third difference. The larger the third difference, the larger the first factor, indicating that the current carbon emissions value is large and the pressure to improve carbon emissions is greater.

[0135] In some other embodiments, obtaining the current earned carbon credits and calculating the relationship between the ratio of the earned carbon credits to the number of vehicles in the field and a preset value to obtain the second factor includes the following steps:

[0136] S510, obtaining the status of each parking space, when the parking space enters the parking state, the dynamic carbon points corresponding to the parking space are converted into earned carbon points.

[0137] When a parking space is vacant, the corresponding dynamic carbon points are saved in the parking space. When a vehicle is parked in the parking space, the dynamic carbon points in the parking space are converted into earned carbon points.

[0138] S520, obtaining the dynamic carbon points corresponding to each parking space in a parked state at the current time point to obtain the current total points.

[0139] Obtain the earned carbon points of all parking spaces in the current time point and add them up to obtain the total points currently earned.

[0140] S530, obtaining the number of vehicles in the parking lot at the current time point and combining it with the current total points to calculate the average earned carbon points corresponding to each vehicle.

[0141] Divide the current total points by the number of vehicles in the field to calculate the average carbon points earned for each vehicle.

[0142] S540: Generate a second factor based on the average carbon credits earned, wherein the greater the average carbon credits earned, the greater the second factor.

[0143] The second factor is generated based on the average carbon points earned. The higher the average carbon points earned, the larger the second factor. Since carbon points are the reward value corresponding to the contribution to low carbon, the more carbon points each vehicle gets on average, the greater the contribution each vehicle makes to low carbon construction, and the larger its second factor.

[0144] In some other embodiments, calculating the carbon score based on the first factor and the second factor includes the following steps:

[0145] S610, creating a standard parking scenario that matches the current number of vehicles in the parking lot, and obtaining a standard first factor and a standard second factor in the standard parking scenario.

[0146] Before calculating the carbon score based on the first factor and the second factor, it is first necessary to obtain the standard parameters under the standard parking scenario.

[0147] The standard parking scenario created first is: the number of vehicles in the lot meets the current number of vehicles in the lot, then the ratio of vehicles to new energy vehicles is 2:1, the driving distance of each vehicle is the difference between the shortest distance and the longest distance of the corresponding parking space, and the congestion situation is good. The standard parking scenario is the standardized scenario of most parking lots in daily life.

[0148] After building the standard parking scenario, the first factor and the second factor in the scenario are estimated and calculated respectively, and defined as the standard first factor and the standard second factor.

[0149] S620, respectively calculating a first deviation between the first factor and the standard first factor and a second deviation between the second factor and the standard second factor.

[0150] The deviations between the first factor and the standard first factor and between the second factor and the standard second factor are calculated respectively to obtain two deviation values.

[0151] S630: Generate a contradiction amount based on the numerical relationship and directional relationship between the first deviation and the second deviation.

[0152] The amount of contradiction between the first factor and the second factor is calculated based on the two deviation values.

[0153] The contradiction amount is characterized by the contradictory deviations in the values ​​of the two factors in the same scenario. The first factor represents the pressure on the current carbon emissions, and the second factor represents the size of the reward corresponding to the low-carbon contribution. Under normal circumstances, the greater the carbon emission pressure, the more dynamic carbon points the vehicle needs to obtain to provide more carbon reduction effects. When there is a logical contradiction between the two values, it is considered that there is a high degree of contradiction. Correspondingly, the value of the contradiction amount is smaller. At this time, it is considered that there is a problem in the improvement of carbon emissions management.

[0154] The specific calculation method of the contradiction amount will be described in detail later.

[0155] S640, calculating a carbon score based on the amount of contradiction and a preset carbon full score.

[0156] After calculating the amount of contradiction under different scenarios, multiply the contradiction amount by the full carbon score to calculate the current carbon score. The good or bad carbon score determines whether the carbon emission management model of the parking lot needs to be adjusted and improved.

[0157] In some other embodiments, generating a contradiction amount based on a numerical relationship and a directional relationship between a first deviation and a second deviation comprises the following steps:

[0158] First of all, it should be explained that the numerical relationship is characterized by the size of the absolute values ​​of the two deviations, while the directional relationship is characterized by the corresponding reference value as the benchmark, and on which side of the reference position the first deviation and the second deviation are respectively located. If both are smaller than or larger than the values ​​corresponding to the reference position, they are considered to be in the same direction; if one is larger than the reference value and the other is smaller than the reference value, they are considered to be in opposite directions.

[0159] S631: When the first deviation and the second deviation are in the same direction, a first contradiction amount is generated.

[0160] S632, when the first deviation and the second deviation are opposite: if the first deviation is smaller than the second deviation, a second contradiction amount is generated; if the second deviation is smaller than the first deviation, a third contradiction amount is generated.

[0161] Different amounts of contradiction are generated for different directional relationships and different numerical relationships, and the magnitude of the amounts of contradiction corresponding to different situations is also different.

[0162] First, for the first contradictory quantity, the corresponding numerical relationship and directional relationship are represented as follows: when the current carbon emissions value is high (higher than the standard value) and the carbon emissions pressure is high, each vehicle in the field will receive more carbon points on average (higher than the standard value); or when the current carbon emissions value is low (lower than the standard value) and the carbon emissions pressure is low, each vehicle in the field will receive fewer carbon points on average (lower than the standard value).

[0163] For the second contradictory quantity, the corresponding numerical relationship and directional relationship are represented as follows:

[0164] The current carbon emissions value is small (lower than the standard value), the carbon emission pressure is extremely low, and each vehicle in the field receives an average of more dynamic carbon points (higher than the standard value).

[0165] For the third contradictory quantity, the corresponding numerical relationship and directional relationship are represented as follows:

[0166] The current carbon emissions value is high (higher than the standard value), the carbon emission pressure is extremely low, and the average dynamic carbon points allocated to each vehicle in the field are small (lower than the standard value).

[0167] Then, according to conventional carbon emission management logic, when the current carbon emissions are low, ideally, each vehicle has chosen the optimal parking space through the optimal path to obtain the highest dynamic carbon points, so the current carbon emissions have been greatly improved.

[0168] When the current carbon emissions are high, the ideal situation is that each vehicle does not choose the optimal path, but instead parks in a relatively poor parking space after a certain degree of vehicle searching and obtains a lower dynamic carbon credit, so the effect of improving the current carbon emissions is poor.

[0169] Based on the ideal situation analyzed above, the worst scenario among the three contradictions is the first contradiction, because the current situation is completely opposite to the standard scenario. The carbon emissions are large, but the average carbon points earned by the vehicle are also large, or the carbon emissions are small, but the average carbon points earned by the vehicle are also small. In this scenario, the carbon emissions are completely inversely proportional to the carbon points reward paid, and there are major management problems. Therefore, the value of the first contradiction is the smallest.

[0170] The scenario corresponding to the third contradiction is a standard scenario that is under high-pressure carbon emission management. Many vehicles do not choose the optimal parking solution, resulting in more carbon emissions. At this time, the value of the second contradiction is relatively small, but it is larger than the first contradiction.

[0171] Finally, the second contradiction quantity also meets the standard scenario, but it is in an excellent carbon emission management state. It optimizes the parking space for each car to make the carbon emissions in the parking lot lower. At the same time, each vehicle also earns dynamic carbon points that match its own behavior. Therefore, the value of the second contradiction quantity is the largest.

[0172] Among them, the greater the amount of contradiction, the smaller the impact of the logical contradiction between the two deviations on the results, and the higher the final carbon score.

[0173] In other embodiments, judging the low-carbon management tendency based on the carbon score and the parking lot status information in the current parking lot, and generating a corresponding optimal management plan based on the low-carbon management tendency include the following steps:

[0174] S650, if the carbon score is less than the passing score, it corresponds to a remediation tendency; if the carbon score is less than the excellent score, it corresponds to an optimization tendency.

[0175] Different carbon scores correspond to different low-carbon management tendencies. When the carbon score is lower than the preset passing score, a more stringent remediation tendency is required. When the carbon score is lower than the preset excellent score, it corresponds to a more moderate optimization tendency.

[0176] In the direction of regulation,

[0177] S651, calculating the remaining number of parking spaces based on the parking lot status information. When the remaining number of parking spaces is less than a preset value, the optimal management solution is the entrance closing solution.

[0178] When there are fewer parking spaces left in a parking lot, it means that vehicles entering the parking lot need to travel a long distance to find a parking space. At this time, in order to improve carbon emissions, the entrance can be closed for a certain period of time, waiting for some vehicles in the current parking lot to leave, thereby relieving some parking space pressure and reopening the entrance.

[0179] S652, based on the parking lot information, the distribution information of the remaining parking spaces is obtained. When the distribution information is dispersed, the optimal management solution is the parking guidance solution. When the distribution information is concentrated, an entrance and exit control solution is generated.

[0180] The distribution of remaining parking spaces is analyzed through cameras in the parking lot. When the distribution of remaining parking spaces is relatively scattered, it means that a large number of vehicles need to drive long distances to find parking spaces after entering the lot. In this case, a parking guidance plan can be generated to guide vehicles to vacant parking spaces through light guidance, manual guidance, sound guidance, etc., thereby reducing the situation where vehicles have to travel long distances to search for parking spaces, which increases carbon emissions.

[0181] When the remaining parking spaces are concentrated, vehicles entering the parking lot can find parking spaces clearly and in a concentrated manner. In this case, the entrance and exit control solution can be selected to improve carbon emissions. This solution is suitable for parking lots with multiple entrances and exits. In this solution, the entrance function of the entrances and exits far from the concentrated remaining parking spaces can be closed for a short period of time, so that subsequent vehicles entering the parking lot can enter from the entrances closer to the concentrated remaining parking spaces, thereby increasing the probability of each vehicle finding a parking space quickly and reducing the driving distance required to reach an empty parking space.

[0182] S653, based on the parking lot information, the vehicle type in the parking lot is obtained. If the number of fuel vehicles is greater than a preset value, the optimal management solution is to prohibit fuel vehicles from entering.

[0183] Get the vehicle type of the vehicles entering the venue. When the number of fuel vehicles is greater than the preset value, it is considered that the number of fuel vehicles entering the venue is much higher than that of new energy vehicles. At this time, in order to improve carbon emissions, fuel vehicles can be banned from entering for a short period of time, while new energy vehicles can be allowed to enter.

[0184] In the optimization tendency,

[0185] S654, based on the parking lot information, the vehicle type and the number of remaining parking spaces are obtained. When the number of remaining parking spaces is less than a preset value and the number of fuel vehicles is greater than a preset value, the optimal solution is the shared parking space solution.

[0186] When the number of remaining parking spaces is less than the preset value and the number of fuel vehicles is greater than the preset value, a shared parking space solution can be used. In order to avoid excessive car-hunting behavior by fuel vehicles, which will lead to an increase in carbon emissions, idle charging parking spaces can be allowed to serve as fuel parking spaces, thereby freeing up more empty parking spaces for fuel vehicles that are looking for parking.

[0187] S655: When the number of remaining parking spaces is not less than a preset value, the optimal management solution is the parking guidance solution.

[0188] When the number of remaining parking spaces is not less than the preset value, appropriate guidance may be provided to enable incoming vehicles to park quickly to reduce carbon emissions.

[0189] In some other embodiments, the following steps are also included:

[0190] S700, the points earned are sent to the car owner and the parking lot management end respectively.

[0191] S710, the car owner exchanges parking exemption benefits based on the earned carbon points, and the parking management side improves the carbon response evaluation based on the earned carbon points.

[0192] The earned points are distributed equally to the car owner and the parking lot management. The car owner can subsequently redeem the accumulated earned carbon points for parking exemption benefits in the parking lot or a cooperative parking lot, thereby rewarding the car owner for reducing carbon emissions through excellent parking behaviors during subsequent parking and earning more carbon points. The parking management side will improve the corresponding evaluation, indicators and assessment in the city's low-carbon construction based on the accumulated earned carbon points.

[0193] like Figure 2 As shown, the embodiment of the present application also discloses a parking lot management system based on carbon credit tendency, including:

[0194] The basic information acquisition module is used to obtain the basic information of the parking lot, which includes the number of parking spaces, parking space locations, the number of entrances and exits, and the locations of entrances and exits.

[0195] The standard carbon index calculation module is used to calculate the minimum carbon emission and maximum carbon emission corresponding to the parking lot based on the basic information of the parking lot and the preset carbon factor database.

[0196] The carbon credit calculation module calculates the dynamic carbon credits corresponding to each parking space based on the minimum carbon emissions and the maximum carbon emissions, wherein each carbon credit corresponds to a different entry and exit scenario, and each parking space has one or more dynamic carbon credits corresponding to different entry and exit scenarios.

[0197] The first carbon factor calculation module is used to obtain the current carbon emission and determine the position of the current carbon emission between the minimum carbon emission and the maximum carbon emission to obtain the first factor.

[0198] The second carbon factor calculation module is used to obtain the current earned carbon points and calculate the relationship between the ratio of the earned carbon points to the number of vehicles in the field and a preset value to obtain the second factor.

[0199] The low-carbon management module calculates the carbon score based on the first factor and the second factor, determines the low-carbon management tendency based on the carbon score and the parking lot status information in the current venue, and generates a corresponding optimal management plan based on the low-carbon management tendency.

[0200] The implementation principle is:

[0201] The carbon score of the parking lot is calculated comprehensively by combining the basic carbon emissions calculated in advance by the parking lot, the first factor representing the current carbon emission status, and the second factor corresponding to the comprehensive comparison result of the carbon reduction reward and the carbon emission status. Different carbon tendency management methods are selected based on the carbon score to dynamically detect and evaluate the carbon emission status and carbon reform capabilities of the parking lot, and different carbon reform management plans are given based on different carbon scenarios to improve the responsiveness of the parking lot to low-carbon construction management.

[0202] It should be understood that although the steps in the flowchart of the accompanying drawings are shown in sequence according to the instructions of the arrows, these steps are not necessarily performed in the order indicated by the arrows. Unless otherwise clearly stated in this document, the execution of these steps is not strictly limited in order and can be performed in other orders.

[0203] The above are all preferred embodiments of the present application, and the protection scope of the present application is not limited thereto. Therefore, any equivalent changes made according to the structure, shape, and principle of the present application should be included in the protection scope of the present application.

Claims

1. A parking lot management method based on carbon credit tendency, characterized in that: The following steps are involved: Obtaining basic parking lot information, including the number of parking spaces, parking space locations, number of entrances and exits, and entrance and exit locations; Calculate the minimum carbon emission and the maximum carbon emission corresponding to the parking lot based on the basic information of the parking lot and in combination with a preset carbon factor database; The dynamic carbon score corresponding to each parking space is calculated based on the minimum carbon emission and the maximum carbon emission, wherein each carbon score corresponds to a different entry and exit scenario, and each parking space has one or more dynamic carbon scores corresponding to different entry and exit scenarios. Specifically, Calculate the difference between the minimum carbon emission and the maximum carbon emission, and calculate the total carbon credit corresponding to the parking lot in combination with a preset carbon credit coefficient; Acquire a function corresponding to each of the parking spaces to generate a first parameter, wherein the function includes a charging parking space and a fuel parking space, wherein the first parameter of the fuel parking space is greater than the first parameter of the charging parking space; Obtaining the shortest distance between each of the parking spaces and each of the entrances and exits to generate one or more second parameters, wherein the shorter the shortest distance, the larger the second parameter; Obtaining the current congestion level of the parking lot to generate a third parameter, wherein the more severe the congestion level is, the greater the third parameter is; Calculate the dynamic carbon score corresponding to each of the parking spaces in the total carbon score based on the first parameter, the second parameter, and the third parameter; The current carbon emission is obtained, and the position of the current carbon emission between the minimum carbon emission and the maximum carbon emission is determined to obtain a first factor. Specifically, Obtaining entry video information of all vehicles in the venue, and extracting the type and driving trajectory of the vehicles in the venue, estimating the driving distance based on the driving trajectory of the vehicles in the venue, and calculating the carbon emissions of each vehicle based on the type and the driving distance, and calculating the current carbon emissions based on the carbon emissions of each vehicle and the number of vehicles in the venue; Calculate respectively a first difference between the current carbon emission and the minimum carbon emission and a second difference between the current carbon emission and the maximum carbon emission, wherein the minimum carbon emission is characterized as the ideal minimum carbon emission corresponding to the current number of vehicles in the field, and the maximum carbon emission is characterized as the ideal maximum carbon emission corresponding to the current number of vehicles in the field; calculating a third difference between the absolute value of the first difference and the absolute value of the second difference, and generating the first factor based on the magnitude of the third difference, wherein the larger the third difference is, the larger the first factor is; Obtain the current earned carbon credits, and calculate the relationship between the ratio of the earned carbon credits to the number of vehicles in the field and a preset value to obtain a second factor. Specifically, The state of each parking space is obtained, and when the parking space enters a parking state, the dynamic carbon points corresponding to the parking space are converted into earned carbon points; Obtaining the dynamic carbon points corresponding to each of the parking spaces in the parking state at a current time point to obtain a current total point; Obtain the number of vehicles in the parking lot at the current time point and combine it with the current total points to calculate the average earned carbon points corresponding to each of the vehicles; generating the second factor based on the average earned carbon credits, wherein the greater the average earned carbon credits, the greater the second factor; The carbon score is calculated based on the first factor and the second factor. Specifically, Creating a standard parking scenario that matches the current number of vehicles in the parking lot, and obtaining a standard first factor and a standard second factor under the standard parking scenario; respectively calculating a first deviation between the first factor and a standard first factor and a second deviation between the second factor and the standard second factor; generating a contradiction amount based on a numerical relationship and a directional relationship between the first deviation and the second deviation; Calculating the carbon score based on the amount of contradiction and a preset carbon score; A low-carbon management tendency is determined based on the carbon score and parking lot status information in the current parking lot, and a corresponding optimal management plan is generated based on the low-carbon management tendency.

2. The parking lot management method based on carbon credit tendency according to claim 1 is characterized in that: Calculating the minimum carbon emission and the maximum carbon emission corresponding to the parking lot based on the parking lot basic information combined with a preset carbon factor database includes the following steps: Based on the entrance and exit positions and the parking space positions, the shortest distance required for each entrance and exit to reach all parking spaces is calculated, and the carbon emission value per unit distance is obtained in the carbon factor database to calculate the first carbon emission required for each entrance and exit to reach all parking spaces; Calculating the minimum carbon emission based on an average of a plurality of the first carbon emissions; Acquire a maximum closed circle and a corresponding circle length corresponding to the parking lot according to the positions of the parking spaces, wherein the maximum closed circle is characterized as a single circle with the longest travel distance when the starting point and the end point are the same among the paths formed by the plurality of roads in the parking lot; The longest distance sum is calculated based on the circle length and the number of parking spaces, and the maximum carbon emission is calculated based on the carbon emission value per unit distance.

3. The parking lot management method based on carbon credit tendency according to claim 1 is characterized in that: Generating a contradiction amount based on the numerical relationship and the directional relationship between the first deviation and the second deviation comprises the following steps: When the first deviation and the second deviation are in the same direction, a first contradiction amount is generated; When the first deviation and the second deviation are opposite: If the first deviation is smaller than the second deviation, a second contradiction amount is generated, and if the second deviation is smaller than the first deviation, a third contradiction amount is generated; When the numerical relationship between the first deviation and the second deviation is the same, the first contradiction amount is smaller than the third contradiction amount, and the third contradiction amount is smaller than the second contradiction amount.

4. The parking lot management method based on carbon credit tendency according to claim 1 is characterized in that: The low-carbon management tendency is determined based on the carbon score and the parking lot status information in the current parking lot, and a corresponding optimal management plan is generated based on the low-carbon management tendency, including the following steps: If the carbon score is less than the passing score, it corresponds to a remediation tendency, and if the carbon score is less than the excellent score, it corresponds to an optimization tendency; In the above mentioned regulation tendency, The remaining number of parking spaces is calculated based on the parking lot status information, and when the remaining number of parking spaces is less than a preset value, the optimal management solution is the entrance closing solution; Based on the parking lot information, the distribution information of the remaining parking spaces is obtained. When the distribution information is dispersed, the optimal management solution is a parking guidance solution. When the distribution information is concentrated, an entrance and exit control solution is generated. The type of vehicles in the parking lot is obtained based on the parking lot information. If the number of fuel vehicles is greater than a preset value, the optimal management solution is a fuel vehicle prohibition solution. In the optimization tendency, Based on the parking lot information, the vehicle type and the number of remaining parking spaces are obtained. When the number of remaining parking spaces is less than a preset value and the number of fuel vehicles is greater than a preset value, the optimal management solution is a shared parking space solution. When the remaining number of parking spaces is not less than a preset value, the optimal management solution is a parking guidance solution.

5. The parking lot management method based on carbon credit tendency according to claim 1 is characterized in that: The following steps are also included: The earned carbon points are sent to the car owner and the parking lot management end respectively; The car owner side exchanges parking exemption benefits based on the earned carbon points, and the parking lot management side increases the low-carbon response evaluation based on the earned carbon points.

6. A parking lot management system based on carbon credit tendency, characterized in that: include: A basic information acquisition module is used to acquire basic parking lot information, wherein the basic parking lot information includes the number of parking spaces, parking space locations, the number of entrances and exits, and the locations of the entrances and exits; A standard carbon index calculation module, used to calculate the minimum carbon emission and the maximum carbon emission corresponding to the parking lot based on the basic information of the parking lot and a preset carbon factor database; The carbon credit calculation module calculates the dynamic carbon credit corresponding to each parking space based on the minimum carbon emission and the maximum carbon emission, wherein each carbon credit corresponds to a different entry and exit scenario, and each parking space has one or more dynamic carbon credits corresponding to different entry and exit scenarios. Specifically, Calculate the difference between the minimum carbon emission and the maximum carbon emission, and calculate the total carbon credit corresponding to the parking lot in combination with a preset carbon credit coefficient; Acquire a function corresponding to each of the parking spaces to generate a first parameter, wherein the function includes a charging parking space and a fuel parking space, wherein the first parameter of the fuel parking space is greater than the first parameter of the charging parking space; Obtaining the shortest distance between each of the parking spaces and each of the entrances and exits to generate one or more second parameters, wherein the shorter the shortest distance, the larger the second parameter; Obtaining the current congestion level of the parking lot to generate a third parameter, wherein the more severe the congestion level is, the greater the third parameter is; Calculate the dynamic carbon score corresponding to each of the parking spaces in the total carbon score based on the first parameter, the second parameter, and the third parameter; The first carbon factor calculation module is used to obtain the current carbon emission and determine the position of the current carbon emission between the minimum carbon emission and the maximum carbon emission to obtain the first factor. Specifically, Obtaining entry video information of all vehicles in the venue, and extracting the type and driving trajectory of the vehicles in the venue, estimating the driving distance based on the driving trajectory of the vehicles in the venue, and calculating the carbon emissions of each vehicle based on the type and the driving distance, and calculating the current carbon emissions based on the carbon emissions of each vehicle and the number of vehicles in the venue; Calculate respectively a first difference between the current carbon emission and the minimum carbon emission and a second difference between the current carbon emission and the maximum carbon emission, wherein the minimum carbon emission is characterized as the ideal minimum carbon emission corresponding to the current number of vehicles in the field, and the maximum carbon emission is characterized as the ideal maximum carbon emission corresponding to the current number of vehicles in the field; calculating a third difference between the absolute value of the first difference and the absolute value of the second difference, and generating the first factor based on the magnitude of the third difference, wherein the larger the third difference is, the larger the first factor is; The second carbon factor calculation module is used to obtain the current earned carbon points, and calculate the relationship between the ratio of the earned carbon points to the number of vehicles in the field and the preset value to obtain the second factor. Specifically, The state of each parking space is obtained, and when the parking space enters a parking state, the dynamic carbon points corresponding to the parking space are converted into earned carbon points; Obtaining the dynamic carbon points corresponding to each of the parking spaces in the parking state at a current time point to obtain a current total point; Obtain the number of vehicles in the parking lot at the current time point and combine it with the current total points to calculate the average earned carbon points corresponding to each of the vehicles; generating the second factor based on the average earned carbon credits, wherein the greater the average earned carbon credits, the greater the second factor; The low-carbon management module calculates the carbon score based on the first factor and the second factor. Specifically, Creating a standard parking scenario that matches the current number of vehicles in the parking lot, and obtaining a standard first factor and a standard second factor under the standard parking scenario; respectively calculating a first deviation between the first factor and a standard first factor and a second deviation between the second factor and the standard second factor; generating a contradiction amount based on a numerical relationship and a directional relationship between the first deviation and the second deviation; Calculating the carbon score based on the amount of contradiction and a preset carbon score; The low-carbon management module is further used to determine the low-carbon management tendency based on the carbon score and the parking lot status information in the current parking lot, and generate a corresponding optimal management plan based on the low-carbon management tendency.

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