Reservation management method, system and device of parking and charging integrated platform

Abstract

The invention discloses a reservation management method, system and device for a parking and charging integrated platform, and relates to the technical field of parking management. The method comprises the steps of receiving a parking and charging integrated reservation request for matching and screening, and determining an integrated resource group; acquiring real-time state data, performing occupation prediction, and generating predicted occupation data; constructing a resource sorting list; and traversing the resource sorting list, performing analysis in combination with user historical selection preference data, generating a target recommendation suggestion, sending the target recommendation suggestion to the user terminal, and when the user terminal feeds back a confirmation instruction, performing locking through the parking and charging integrated platform, and generating an integrated reservation management scheme. The technical problem that in the prior art, parking and charging resources are managed in a decentralized mode, unified appointment and cooperative scheduling are difficult to conduct, and consequently the utilization rate of the parking and charging resources is low is solved, and the technical effect of improving the overall utilization efficiency of the parking and charging integrated resources is achieved through unified management and intelligent appointment scheduling of the parking and charging integrated resources.

Description

Technical Field

[0001] This invention relates to the field of parking management technology, specifically to a reservation management method, system, and device for an integrated parking and charging platform. Background Technology

[0002] With the rapid popularization of new energy vehicles, the demand for parking and charging is showing a highly overlapping development trend, and parking lots and charging facilities are gradually being built in an integrated manner. However, in the current technology, parking resources and charging resources are usually managed in a relatively independent manner. The reservation system is decentralized and the degree of information sharing is low, making it difficult to uniformly schedule and coordinate the management of parking spaces and charging piles. This leads to problems such as mismatch between parking and charging needs, and the coexistence of resource vacancy and congestion during the reservation process. At the same time, the existing reservation management methods are mostly based on static status or simple rules for allocation, lacking the ability to dynamically analyze and predict resource occupancy during the target time period. It is difficult to reflect the real-time changes in parking status and charging usage, resulting in low reservation success rate, frequent conflicts of temporary occupancy, and affecting the overall utilization efficiency of parking and charging resources and user experience. Summary of the Invention

[0003] This application provides a reservation management method, system, and device for an integrated parking and charging platform, which solves the technical problem in the prior art where the parking and charging resources are managed in a decentralized manner, making it difficult to make unified reservations and coordinate scheduling, resulting in low utilization of parking and charging resources.

[0004] The first aspect of this application provides a reservation management method for an integrated parking and charging platform, the method comprising:

[0005] The system receives user-input parking and charging integrated reservation requests, matches and filters them to determine integrated resource groups; it analyzes the parking status of the integrated resource groups according to the target time period to obtain real-time status data, and predicts occupancy based on the real-time status data to generate predicted occupancy data; it performs multi-dimensional evaluation and ranking of the integrated resource groups based on the real-time status data and the predicted occupancy data to construct a resource ranking list; it iterates through the resource ranking list and analyzes it in conjunction with the user's historical selection preference data to generate target recommendation suggestions which are sent to the user terminal; when the user terminal responds with a confirmation command, the system locks the reservation through the parking and charging integrated platform, generating an integrated reservation management scheme.

[0006] A second aspect of this application provides a reservation management system for an integrated parking and charging platform, the system comprising:

[0007] The system comprises the following modules: a request matching module (receiving user-inputted parking and charging reservation requests, matching and filtering them to determine integrated resource groups), a prediction module (analyzing parking status of the integrated resource groups according to target time periods, obtaining real-time status data, predicting occupancy based on the real-time status data, generating predicted occupancy data), an evaluation and ranking module (performing multi-dimensional evaluation and ranking of the integrated resource groups based on the real-time status data and the predicted occupancy data, constructing a resource ranking list), and a reservation management module (traversing the resource ranking list, analyzing user historical selection preference data, generating target recommendation suggestions and sending them to the user terminal; when the user terminal provides a confirmation command, the reservation is locked through the integrated parking and charging platform, generating an integrated reservation management plan).

[0008] A third aspect of this application provides a reservation management device for an integrated parking and charging platform, comprising: a memory for storing executable instructions; and a processor for executing the executable instructions stored in the memory to implement the reservation management method for the integrated parking and charging platform provided in this application.

[0009] One or more technical solutions provided in this application have at least the following technical effects or advantages:

[0010] First, the system receives and matches user-inputted integrated parking and charging reservation requests to determine integrated resource groups. Next, it analyzes the parking status of these resource groups according to the target time period, obtaining real-time status data. Based on this data, it predicts occupancy and generates predicted occupancy data. Then, it performs a multi-dimensional evaluation and ranking of the integrated resource groups based on the real-time status data and predicted occupancy data, constructing a resource ranking list. Finally, it iterates through the resource ranking list, analyzes it in conjunction with user historical selection preference data, generates target recommendations, and sends them to the user terminal. When the user terminal confirms the request, the integrated parking and charging platform locks the reservation, generating an integrated reservation management solution. This solves the technical problem of low utilization rates in existing technologies due to the fragmented management of parking and charging resources, making unified reservation and coordinated scheduling difficult. Through unified management and intelligent reservation scheduling of integrated parking and charging resources, it achieves the technical effect of improving the overall utilization efficiency of integrated parking and charging resources. Attached Figure Description

[0011] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0012] Figure 1A schematic diagram of the reservation management method for the integrated parking and charging platform provided in this application embodiment;

[0013] Figure 2 A schematic diagram of the reservation management system structure of the integrated parking and charging platform provided in this application embodiment;

[0014] Figure 3 This is a schematic diagram of the reservation management device of the parking and charging integrated platform, which is an example of this application.

[0015] Explanation of reference numerals in the attached drawings: Request matching module 11, prediction module 12, evaluation and sorting module 13, reservation management module 14, processor 21, memory 22, input device 23, output device 24. Detailed Implementation

[0016] To further illustrate the technical means and effects of the present invention in achieving its intended purpose, the following detailed description of the specific implementation methods, structures, features and effects of the present invention, in conjunction with the accompanying drawings and preferred embodiments, is provided below.

[0017] Example 1, as Figure 1 As shown in the embodiment of this application, a reservation management method for an integrated parking and charging platform is provided, wherein the method includes:

[0018] The system receives user-input parking and charging integrated reservation requests, matches and filters them, and determines the integrated resource group.

[0019] When receiving a user's integrated parking and charging reservation request, the request includes at least the target usage time period and location information corresponding to the user's current location or desired parking location. The platform first standardizes and parses the location information, converting it into latitude and longitude coordinates or a preset area code. Based on the user's requested target time period, it retrieves parking space status data and charging pile status data for that time period from the platform's resource database. Subsequently, using the location information as the retrieval basis, and under preset spatial retrieval rules, the platform traverses and searches the parking areas within its coverage area, filtering out the set of parking spaces available and the set of charging piles available for reservation during the target time period. The available status includes at least the status of being unoccupied, unlocked, or expected to be released before the start of the target time period. After obtaining the set of parking spaces and the set of charging piles, the platform performs correlation analysis on the two according to the preset integrated matching rules. The correlation analysis includes spatial proximity judgment, resource affiliation judgment or pre-configured integrated mapping relationship judgment, so as to filter out the resource combination that simultaneously meets the conditions of parking and charging availability within the target time period. The resource combination that meets the conditions is deduplicated, conflict-checked and validity-checked, and finally determined to form an integrated resource group for subsequent status analysis and reservation management.

[0020] Furthermore, the method for receiving and matching user-inputted integrated parking and charging reservation requests to determine integrated resource groups includes:

[0021] The system incorporates user location information and charging pile charging radius information, defining a geographic search range with the location information as the center and the charging radius information as the boundary. Based on this geographic search range, parking areas are traversed to identify parking spaces, obtaining time-series parking space inventory data. Similarly, charging piles are identified within the same parking area, obtaining time-series charging pile inventory data. The time-series parking space inventory data and the time-series charging pile inventory data are then analyzed for intersection according to a target time period, generating intersection data. This intersection data is then bound to parking space and charging pile identifiers to generate multiple resource units. Finally, these resource units are added to the integrated resource group.

[0022] Preferably, the system incorporates user location information carried in the integrated parking and charging reservation request and charging pile radius information configured in the integrated parking and charging platform. A geographic search range for resource filtering is constructed, centered on the geographic coordinates corresponding to the user location information and bounded by the spatial distance threshold corresponding to the charging radius information. Within this geographic search range, the platform traverses and searches the covered parking areas, identifies and resolves the parking spaces within each area, collects and records the occupancy status changes of each parking space during the target time period, forming corresponding parking space inventory time-series data. Simultaneously, within the same geographic search range, the platform traverses parking areas equipped with charging piles, identifies and resolves the charging piles, collects and records the availability status changes of each charging pile during the target time period, forming corresponding charging pile inventory time-series data. After obtaining the parking space inventory time-series data and the charging pile inventory time-series data, the platform aligns them according to the target time period and performs intersection analysis to filter out data records that simultaneously meet the parking space availability and charging pile availability conditions within the same target time period, generating corresponding intersection data. Subsequently, the intersection data is bound to the corresponding parking space identifier and charging pile identifier to construct multiple resource units containing specific parking space and charging pile combination relationships. These multiple resource units are then added to an integrated resource group for subsequent real-time status analysis, occupancy prediction, and reservation management.

[0023] Parking status analysis is performed on the integrated resource group according to the target time period to obtain real-time status data. Based on the real-time status data, occupancy prediction is performed to generate predicted occupancy data.

[0024] Using the target time period as a time constraint window, the status of each resource unit in the integrated resource group is collected and analyzed. For each resource unit, real-time status information associated with the target time period is obtained from the parking space monitoring system and the charging pile operation monitoring system. The real-time status information includes at least the current occupancy status of the parking space, the duration of parking space occupancy, the operation status of the charging pile, the information of the vehicle currently occupying the charging pile, and the corresponding historical status change records.

[0025] After obtaining the above status information, the platform estimates the release time of parking spaces within the target time period based on the parking space occupancy status and the duration of occupancy. At the same time, based on the charging pile operation status and the charging progress information of the currently occupied vehicles, it predicts the availability time of the charging pile within the target time period. The predicted parking space release time and the predicted charging pile availability time are aligned and aggregated in terms of time dimension to construct real-time status data that reflects the current availability and near-future change trend of resource units.

[0026] Based on real-time status data, the platform further retrieves historical reservation and fulfillment records corresponding to the integrated resource group, models and analyzes the occupancy behavior of resource units according to time series, extracts the time period distribution characteristics and fluctuation characteristics of resource occupancy, and predicts the temporary occupancy and default occupancy that may occur within the target time period, generating corresponding occupancy probability description results as predicted occupancy data for subsequent multi-dimensional evaluation, ranking and reservation decisions.

[0027] Furthermore, the method for analyzing the parking status of the integrated resource group according to the target time period to obtain real-time status data includes:

[0028] The platform data interface is used to perform real-time data sensing of charging piles in multiple resource units to obtain charging pile operation status information and vehicle occupancy information; based on the charging pile operation status information and vehicle occupancy information, idle time prediction is performed, and predicted idle time parameters are calculated; parking space sensors are used to perform real-time data sensing of parking spaces in multiple resource units to obtain parking space occupancy status information and parking space occupancy duration information; the predicted idle time parameters are aggregated with the parking space occupancy status information and parking space occupancy duration information to construct the real-time status data.

[0029] Preferably, data communication connections are established with the charging pile management system and the parking lot management system through preset platform data interfaces to perform real-time data sensing and acquisition processing on multiple resource units in the integrated resource group. For the charging pile portion, the platform obtains the charging pile operating status information and currently occupied vehicle information corresponding to each resource unit through the platform data interface. The charging pile operating status information includes at least charging status, working mode, remaining charging time, or charging progress parameters. The occupied vehicle information includes at least the vehicle identifier and the corresponding charging start time. Based on the charging pile operating status information and the occupied vehicle information, the platform calculates the estimated charging completion time of the charging pile within the target time period and performs idle prediction accordingly to obtain a predicted idle time parameter characterizing the estimated reusability time of the charging pile. Simultaneously, the platform uses parking space sensors to perform real-time data sensing on parking spaces corresponding to multiple resource units, collecting the current occupancy status information and the occupied time information of the parking spaces to reflect the actual usage of the parking spaces within the target time period. After completing the above data collection, the platform will associate and aggregate the predicted idle time parameters with the parking space occupancy status information and parking space occupancy duration information according to resource units. Through time alignment, status fusion and validity verification, it will construct real-time status data that can reflect the availability and changing trend of each resource unit within the target time period, and use the real-time status data as the basic input for subsequent occupancy prediction and resource assessment.

[0030] Furthermore, the method for generating predicted occupancy data based on the real-time status data includes:

[0031] Based on the real-time status data, records are extracted from the multiple resource units to obtain reservation records and performance records; based on the reservation records and performance records, resource occupancy analysis is performed according to the time series to generate resource occupancy patterns; vehicle occupancy is predicted according to the resource occupancy patterns to obtain temporary occupancy prediction data; performance occupancy is predicted according to the resource occupancy patterns to obtain default occupancy prediction data; based on the predicted idle time parameter, the temporary occupancy prediction data and the default occupancy prediction data are described using occupancy probability to generate the predicted occupancy data.

[0032] Preferably, using real-time status data as an index, historical records are extracted from multiple resource units within the integrated resource group. Reservation records and fulfillment records associated with each resource unit are retrieved from the platform's reservation management database. The reservation records characterize user reservation behavior for parking spaces and charging piles, while the fulfillment records characterize fulfillment status information such as reservation completion, cancellation, overdue occupancy, or failure to arrive as agreed. After obtaining the reservation and fulfillment records, the platform sorts and performs segmented statistical analysis of the records according to time series, extracting the distribution characteristics of resource reservations, actual occupancy, and fulfillment anomalies within different time periods. This allows the construction of a resource occupancy pattern reflecting resource usage frequency, occupancy duration, and fluctuation trends. This resource occupancy pattern describes the probability changes of normal or abnormal resource occupancy within different time periods.

[0033] Based on resource occupancy patterns, the platform further predicts potential temporary vehicle occupancy during the target time period. By combining historical peak occupancy periods, the proportion of temporary visits, and real-time status changes, it generates corresponding temporary occupancy prediction data. Simultaneously, based on the aforementioned resource occupancy patterns, the platform analyzes reservation fulfillment status and predicts potential abnormal fulfillment behaviors such as failure to arrive on time, overtime occupancy, or reservation cancellation, generating corresponding default occupancy prediction data.

[0034] After obtaining temporary occupancy prediction data and default occupancy prediction data, the platform combines the predicted idle time parameter to describe the occupancy probability of the prediction results. It maps the possibility that resources will be unavailable in the target time period under different occupancy scenarios into occupancy probability values, forming prediction occupancy data with unified dimensions. The prediction occupancy data is used as an important input basis for resource assessment, ranking and reservation decisions.

[0035] Based on the real-time status data and the predicted occupancy data, the integrated resource group is evaluated and ranked in multiple dimensions to construct a resource ranking list.

[0036] For each resource unit in the integrated resource group, evaluation feature parameters associated with the target time period are extracted. These evaluation feature parameters include at least the real-time availability status indicator, predicted occupancy probability indicator, predicted idle time parameter, and spatial distance parameter between the resource unit and the user's location information. The platform normalizes the evaluation feature parameters according to preset multi-dimensional evaluation rules and constructs a comprehensive evaluation model based on preset weights. The real-time availability status indicator reflects the current availability of the resource unit; the predicted occupancy probability indicator reflects the risk level of resource occupancy or conflict during the target time period; the predicted idle time parameter reflects the time matching degree of resource availability for actual user use; and the spatial distance parameter reflects the accessibility of the resource unit. After feature fusion, the platform calculates the corresponding comprehensive evaluation score for each resource unit and sorts the multiple resource units in the integrated resource group according to their comprehensive evaluation scores, generating a resource ranking list reflecting resource priority relationships. This resource ranking list provides a basis for subsequent user preference analysis, recommendation generation, and reservation locking.

[0037] The resource sorting list is traversed and analyzed in conjunction with the user's historical selection preference data to generate target recommendation suggestions, which are then sent to the user terminal. When the user terminal responds with a confirmation command, the parking and charging integrated platform is used to lock the reservation and generate an integrated reservation management solution.

[0038] After obtaining the resource sorting list, the resource sorting list is traversed according to the sorting priority, and the historical selection preference data associated with the current user is retrieved simultaneously. The historical selection preference data is parsed to identify the user's preference characteristics in terms of parking location, charging distance, charging time, accessibility, or price range, and corresponding preference weight parameters are generated accordingly.

[0039] The platform maps preference weight parameters to the comprehensive evaluation score of each resource unit in the resource ranking list, performs preference correction on the ranking results of the resource units, and obtains a resource preference score that reflects the user's personalized needs. Based on this, a preset number of resource units are selected according to the resource preference score from high to low, and the selected resource units are packaged into target recommendation suggestions and sent to the user's terminal for display.

[0040] When the platform detects that a user terminal has provided a confirmation command for any resource unit in the target recommendation suggestions, the platform calls the resource locking interface of the integrated parking and charging platform to perform joint locking processing on the parking space and charging pile contained in the resource unit. The joint locking includes synchronously generating a parking space reservation command and a charging pile reservation occupancy command, and logically binding the two to form valid locking data. Based on the valid locking data, the platform performs adaptive reservation management processing on the integrated parking and charging platform, completing the status update of the corresponding resources, conflict verification, and reservation record writing, and finally generating an integrated reservation management scheme to guide the coordinated use of parking and charging.

[0041] Furthermore, the method involves traversing the resource ranking list and analyzing it in conjunction with users' historical selection preference data to generate target recommendation suggestions.

[0042] Based on the user's historical selection preference data, multiple preference weight coefficients are identified according to the preference analysis results; the multiple resource units are comprehensively scored based on the resource ranking list to obtain multiple resource scores; the multiple preference weight coefficients are mapped to the resource ranking list to correct the multiple resource scores and generate multiple resource preference score values; the top N resource units are selected based on the multiple resource preference score values, and the top N resource units are encapsulated into the target recommendation suggestions.

[0043] Preferably, the platform retrieves historical selection preference data associated with the current user from the user's historical behavior database. This data is then structured and parsed to extract user preference features across dimensions such as parking distance, target time period matching degree, charging convenience, resource stability, and historical success rate. Multiple corresponding preference weight coefficients are calculated based on these features. After obtaining these weight coefficients, the platform calculates a basic resource score for each resource unit in the resource ranking list, reflecting its overall priority without considering the user's personalized preferences. Subsequently, the platform maps these preference weight coefficients to the corresponding evaluation dimensions in the resource ranking list, performing a weighted adjustment process on the resource scores to generate a resource preference score value representing the degree of matching between the resource unit and the user's preferences. The preference weight coefficients are used to adjust the influence ratio of different evaluation dimensions in the overall score. Finally, the platform re-ranks the resource units based on their preference scores, selecting the top N resource units and encapsulating them into a unified target recommendation suggestion for display to the user's terminal, supporting the user's final reservation decision.

[0044] Furthermore, target recommendations are generated and sent to the user terminal. When the user terminal confirms the request, the parking and charging integrated platform locks the reservation and generates an integrated reservation management solution. The methods include:

[0045] The target recommendation is sent to the user terminal. When the user terminal sends a confirmation command for any resource unit in the target recommendation, the parking space and charging pile contained in the resource unit are jointly locked by calling the resource locking interface of the integrated parking and charging platform: S1: Call the resource locking interface of the integrated parking and charging platform to send a parking space reservation command to the integrated parking and charging platform; S2: Call the resource locking interface of the integrated parking and charging platform to send a charging pile reservation occupancy command to the integrated parking and charging platform; S3: Logically bind the parking space reservation command and the charging pile reservation occupancy command to generate valid locking data; Based on the valid locking data, the integrated parking and charging platform performs adaptive reservation management to generate the integrated reservation management scheme.

[0046] After generating target recommendations and sending them to the user terminal, the platform monitors the user terminal's interaction feedback in real time. When the platform detects that the user terminal issues a confirmation command for any resource unit in the target recommendations, it calls the resource locking interface of the integrated parking and charging platform to perform joint locking processing on the parking space and charging pile contained in the resource unit.

[0047] Specifically, a parking space reservation instruction is sent to the integrated parking and charging platform via a resource locking interface to reserve the corresponding parking space during the target time period and prevent other reservation requests from occupying it. Subsequently, a charging pile reservation and occupancy instruction is sent to the integrated parking and charging platform via the same resource locking interface to reserve and occupy the corresponding charging pile during the target time period, ensuring the temporal consistency between charging and parking resources. After completing the above reservation and occupancy operations, the parking space reservation instruction and the charging pile reservation and occupancy instruction are logically bound to generate valid locking data representing the joint locking relationship between the parking space and the charging pile. This valid locking data includes at least a resource unit identifier, target time period information, user identifier, and locking status identifier to ensure the consistency and indivisibility of parking and charging resources during the reservation management process. Finally, based on the valid locking data, the platform performs adaptive reservation management processing on the integrated parking and charging platform, including updating resource status, writing reservation management records, and triggering conflict verification and exception rollback mechanisms, thereby generating an integrated reservation management scheme to guide users in completing the coordinated use of parking and charging during the target time period.

[0048] In summary, the embodiments of this application have at least the following technical effects:

[0049] First, the system receives and matches user-inputted integrated parking and charging reservation requests to determine integrated resource groups. Next, it analyzes the parking status of these resource groups according to the target time period, obtaining real-time status data. Based on this data, it predicts occupancy and generates predicted occupancy data. Then, it performs a multi-dimensional evaluation and ranking of the integrated resource groups based on the real-time status data and predicted occupancy data, constructing a resource ranking list. Finally, it iterates through the resource ranking list, analyzes it in conjunction with user historical selection preference data, generates target recommendations, and sends them to the user terminal. When the user terminal confirms the request, the integrated parking and charging platform locks the reservation, generating an integrated reservation management solution. This solves the technical problem of low utilization rates in existing technologies due to the fragmented management of parking and charging resources, making unified reservation and coordinated scheduling difficult. Through unified management and intelligent reservation scheduling of integrated parking and charging resources, it achieves the technical effect of improving the overall utilization efficiency of integrated parking and charging resources.

[0050] Example 2, based on the same inventive concept as the reservation management method of the integrated parking and charging platform in the foregoing examples, such as... Figure 2 As shown, this application provides a reservation management system for an integrated parking and charging platform, wherein the system includes:

[0051] Request matching module 11: Receives user-inputted integrated parking and charging reservation requests, performs matching and filtering, and determines the integrated resource group; Prediction module 12: Analyzes the parking status of the integrated resource group according to the target time period, obtains real-time status data, and performs occupancy prediction based on the real-time status data to generate predicted occupancy data; Evaluation and ranking module 13: Performs multi-dimensional evaluation and ranking of the integrated resource group based on the real-time status data and the predicted occupancy data to construct a resource ranking list; Reservation management module 14: Traverses the resource ranking list and analyzes it in conjunction with user historical selection preference data to generate target recommendation suggestions and sends them to the user terminal. When the user terminal provides a confirmation instruction, the reservation is locked through the integrated parking and charging platform, generating an integrated reservation management scheme.

[0052] Furthermore, the request matching module 11 is used to perform the following method:

[0053] The system incorporates user location information and charging pile charging radius information, defining a geographic search range with the location information as the center and the charging radius information as the boundary. Based on this geographic search range, parking areas are traversed to identify parking spaces, obtaining time-series parking space inventory data. Similarly, charging piles are identified within the same parking area, obtaining time-series charging pile inventory data. The time-series parking space inventory data and the time-series charging pile inventory data are then analyzed for intersection according to a target time period, generating intersection data. This intersection data is then bound to parking space and charging pile identifiers to generate multiple resource units. Finally, these resource units are added to the integrated resource group.

[0054] Furthermore, the prediction module 12 is used to perform the following method:

[0055] The platform data interface is used to perform real-time data sensing of charging piles in multiple resource units to obtain charging pile operation status information and vehicle occupancy information; based on the charging pile operation status information and vehicle occupancy information, idle time prediction is performed, and predicted idle time parameters are calculated; parking space sensors are used to perform real-time data sensing of parking spaces in multiple resource units to obtain parking space occupancy status information and parking space occupancy duration information; the predicted idle time parameters are aggregated with the parking space occupancy status information and parking space occupancy duration information to construct the real-time status data.

[0056] Furthermore, the prediction module 12 is used to perform the following method:

[0057] Based on the real-time status data, records are extracted from the multiple resource units to obtain reservation records and performance records; based on the reservation records and performance records, resource occupancy analysis is performed according to the time series to generate resource occupancy patterns; vehicle occupancy is predicted according to the resource occupancy patterns to obtain temporary occupancy prediction data; performance occupancy is predicted according to the resource occupancy patterns to obtain default occupancy prediction data; based on the predicted idle time parameter, the temporary occupancy prediction data and the default occupancy prediction data are described using occupancy probability to generate the predicted occupancy data.

[0058] Furthermore, the appointment management module 14 is used to perform the following methods:

[0059] Based on the user's historical selection preference data, multiple preference weight coefficients are identified according to the preference analysis results; the multiple resource units are comprehensively scored based on the resource ranking list to obtain multiple resource scores; the multiple preference weight coefficients are mapped to the resource ranking list to correct the multiple resource scores and generate multiple resource preference score values; the top N resource units are selected based on the multiple resource preference score values, and the top N resource units are encapsulated into the target recommendation suggestions.

[0060] Furthermore, the appointment management module 14 is used to perform the following methods:

[0061] The target recommendation is sent to the user terminal. When the user terminal sends a confirmation command for any resource unit in the target recommendation, the parking space and charging pile contained in the resource unit are jointly locked by calling the resource locking interface of the integrated parking and charging platform: S1: Call the resource locking interface of the integrated parking and charging platform to send a parking space reservation command to the integrated parking and charging platform; S2: Call the resource locking interface of the integrated parking and charging platform to send a charging pile reservation occupancy command to the integrated parking and charging platform; S3: Logically bind the parking space reservation command and the charging pile reservation occupancy command to generate valid locking data; Based on the valid locking data, the integrated parking and charging platform performs adaptive reservation management to generate the integrated reservation management scheme.

[0062] Example 3, Figure 3 This is a schematic diagram of the reservation management device of the parking and charging integrated platform provided in Embodiment 3 of the present invention, showing a block diagram of an exemplary device suitable for implementing the embodiments of the present invention. Figure 3 The device shown is merely an example and should not be construed as limiting the functionality or scope of the embodiments of the present invention. Figure 3 As shown, the device includes a processor 21, a memory 22, an input device 23, and an output device 24; the number of processors 21 in the device can be one or more. Figure 3 Taking a processor 21 as an example, the processor 21, memory 22, input device 23, and output device 24 in the device can be connected via a bus or other means. Figure 3 Taking the example of a connection between China and Israel via a bus.

[0063] The memory 22, as a computer-readable storage medium, can be used to store software programs, computer-executable programs, and modules, such as the program instructions / modules corresponding to the reservation management method of the integrated parking and charging platform in this embodiment of the invention. The processor 21 executes various functional applications and data processing of the device by running the software programs, instructions, and modules stored in the memory 22, thereby realizing the reservation management method of the integrated parking and charging platform described above.

[0064] The above description is merely a preferred embodiment of the present invention and is not intended to limit the present invention in any way. Although the present invention has been disclosed above with reference to preferred embodiments, it is not intended to limit the present invention. Any person skilled in the art can make some modifications or alterations to the above-disclosed technical content to create equivalent embodiments without departing from the scope of the present invention. Any modifications, equivalent changes, and alterations made to the above embodiments based on the technical essence of the present invention without departing from the scope of the present invention shall still fall within the scope of the present invention.

Claims

1. A reservation management method for an integrated parking and charging platform, characterized in that, The method includes: Receive user-input parking and charging integrated reservation requests, match and filter them, and determine the integrated resource group; The parking status of the integrated resource group is analyzed according to the target time period to obtain real-time status data. Based on the real-time status data, occupancy prediction is performed to generate predicted occupancy data. Based on the real-time status data and the predicted occupancy data, the integrated resource group is evaluated and ranked in multiple dimensions to construct a resource ranking list; The resource sorting list is traversed and analyzed in conjunction with the user's historical selection preference data to generate target recommendation suggestions, which are then sent to the user terminal. When the user terminal responds with a confirmation command, the parking and charging integrated platform is used to lock the reservation and generate an integrated reservation management solution.

2. The reservation management method for the integrated parking and charging platform as described in claim 1, characterized in that, The system receives user-input parking and charging integrated reservation requests, performs matching and filtering to determine integrated resource groups. The methods include: Incorporate user location information and charging pile charging radius information, and define the geographic search range with the location information as the center and the charging radius information as the boundary; Based on the geographical search range, parking areas are traversed to identify parking spaces and obtain time-series data of parking space inventory. Based on the geographical search range, the parking area is traversed to identify charging piles and obtain charging pile inventory time series data. The time-series data of parking space inventory and the time-series data of charging pile inventory are analyzed for intersection according to the target time period to generate intersection data; The intersection data is bound to parking space identifiers and charging pile identifiers to generate multiple resource units; Add the multiple resource units to the integrated resource group.

3. The reservation management method for the integrated parking and charging platform as described in claim 2, characterized in that, The method involves analyzing the parking status of the integrated resource group according to the target time period to obtain real-time status data, including: The platform data interface is used to perform real-time data sensing of the charging piles in the multiple resource units to obtain charging pile operation status information and vehicle occupancy information. Based on the charging pile operating status information and the occupied vehicle information, idle time prediction is performed, and the predicted idle time parameter is calculated. Parking space sensors are used to sense parking space data in real time from the multiple resource units to obtain parking space occupancy status information and parking space occupancy duration information. The predicted idle time parameter is aggregated with the parking space occupancy status information and the parking space occupancy duration information to construct the real-time status data.

4. The reservation management method for the integrated parking and charging platform as described in claim 3, characterized in that, Based on the real-time status data, occupancy prediction is performed to generate predicted occupancy data. The method includes: Based on the real-time status data, records are extracted from the multiple resource units to obtain reservation records and fulfillment records; Based on the reservation records and the performance records, resource usage analysis is performed according to the time series to generate resource usage patterns; Vehicle occupancy is predicted according to the resource occupancy pattern to obtain temporary occupancy prediction data; Based on the aforementioned resource usage patterns, performance-based usage predictions are made to obtain default-based usage prediction data. Based on the predicted idle time parameter, the temporary occupancy prediction data and the default occupancy prediction data are described using a probabilistic occupancy method to generate the predicted occupancy data.

5. The reservation management method for the integrated parking and charging platform as described in claim 2, characterized in that, The method involves iterating through the resource sorting list, analyzing it in conjunction with users' historical selection preference data, and generating target recommendation suggestions. Based on the user's historical selection preference data, multiple preference weight coefficients are identified according to the preference analysis results. Based on the resource sorting list, the multiple resource units are comprehensively scored to obtain multiple resource scores; The multiple preference weight coefficients are mapped to the resource ranking list to correct the multiple resource scores and generate multiple resource preference score values; Based on the multiple resource preference scores, the top N resource units are selected, and the top N resource units are encapsulated into the target recommendation suggestions.

6. The reservation management method for the integrated parking and charging platform as described in claim 1, characterized in that, The generated target recommendation is sent to the user terminal. When the user terminal responds with a confirmation command, the parking and charging integrated platform is used to lock the reservation and generate an integrated reservation management plan. The methods include: The target recommendation is sent to the user terminal. When the user terminal sends a confirmation command for any resource unit in the target recommendation, the parking space and charging pile contained in the resource unit are jointly locked by calling the resource locking interface of the integrated parking and charging platform. S1: Call the resource locking interface of the integrated parking and charging platform to send a parking space reservation instruction to the integrated parking and charging platform; S2: Call the resource locking interface of the integrated parking and charging platform to send a charging pile reservation and occupancy instruction to the integrated parking and charging platform; S3: Logically bind the parking space reservation instruction and the charging pile reservation occupancy instruction to generate valid locking data; Based on the effective locking data, the parking and charging integrated platform is used for adaptive reservation management to generate the integrated reservation management scheme.

7. A reservation management system for an integrated parking and charging platform, characterized in that, A reservation management method for implementing the integrated parking and charging platform according to any one of claims 1-6, the system comprising: Request matching module: Receives user-input parking and charging integrated reservation requests, performs matching and filtering, and determines the integrated resource group; Prediction module: Analyzes the parking status of the integrated resource group according to the target time period, obtains real-time status data, predicts occupancy based on the real-time status data, and generates predicted occupancy data; Evaluation and ranking module: Based on the real-time status data and the predicted occupancy data, the integrated resource group is evaluated and ranked in multiple dimensions to construct a resource ranking list; Reservation Management Module: It iterates through the resource sorting list and analyzes it in conjunction with the user's historical selection preference data to generate target recommendation suggestions and send them to the user terminal. When the user terminal responds with a confirmation command, it locks the reservation through the integrated parking and charging platform and generates an integrated reservation management solution.

8. A reservation management device for an integrated parking and charging platform, characterized in that, The device includes: Memory, used to store executable instructions; The processor, when executing executable instructions stored in the memory, implements the reservation management method of the parking and charging integrated platform according to any one of claims 1-6.

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