Data processing method for information management platform

Abstract

The invention relates to the technical field of data processing. The invention relates to a data processing method for an information management platform. The method comprises the following steps: S1, accessing an information management platform of a parking lot into map navigation software, and simultaneously obtaining parking space data in the parking lot and driving road data; s2, acquiring monitoring data of a parking lot, then performing departure monitoring on a vehicle in a parking space according to the monitoring data, and performing departure time prediction according to the position of the departure vehicle in combination with the monitoring data and a driving road; according to the invention, the user can see information such as the number of remaining parking spaces, the surrounding congestion state and the predicted arrival time of the parking lot in the map navigation software, the user is helped to better plan the journey, the time and anxiety of finding the parking spaces are reduced, and the user can conveniently enter the parking lot only by inputting the license plate number at the beginning of navigation, so that the user experience is improved. And the use convenience of the user is improved.

Description

Technical Field

[0001] The present invention relates to the field of data processing technology, and in particular to a data processing method for an information management platform. Background Art

[0002] With the acceleration of urbanization and the continuous increase in the number of cars, parking lot management has become an important part of urban traffic management. Before entering a parking lot, users can usually only judge whether there are parking spaces based on experience or limited information. After entering the parking lot, they also need to spend a certain amount of time looking for vacant parking spaces, or use parking space monitoring equipment to provide real-time feedback on the parking space status.

[0003] At present, vehicle access management and parking status monitoring are achieved through license plate recognition systems, parking space monitoring equipment, etc., with the aim of improving the operational efficiency of parking lots, facilitating vehicle parking and reducing traffic congestion. However, when users navigate to the parking lot, the number of users navigated to may exceed the number of remaining parking spaces in the parking lot. Since users who are closer have entered the parking lot in advance, users who are farther away find that there are no parking spaces in the parking lot after arriving and need to search for the parking lot again. Therefore, the parking lot's management of network vehicles is not accurate enough, and the number of vehicles that actually enter the parking lot cannot be effectively predicted. Therefore, a data processing method for an information management platform is proposed. Summary of the invention

[0004] The purpose of the present invention is to provide a data processing method for an information management platform to solve the problems raised in the above background technology.

[0005] To achieve the above object, a data processing method for an information management platform is provided, comprising the following steps: S1. Connect the parking lot information management platform to the map navigation software, and simultaneously obtain the parking space data and driving road data inside the parking lot; S2. Obtain monitoring data of the parking lot, and then monitor the vehicles leaving the parking spaces according to the monitoring data, predict the departure time according to the position of the vehicles leaving the parking lot in combination with the monitoring data and the driving road, and input the predicted departure time into the information management platform to predict and adjust the number of parking spaces; S3, displaying the number of parking spaces in the map navigation software through the information management platform, collecting navigation data with the end point of the parking lot in the map navigation software, and adjusting the number of parking spaces for network vehicles according to the real-time number of navigation data; S4. Extract the predicted arrival time of the navigation data, then perform congestion analysis on the surrounding environment of the parking lot based on the monitoring data, set the arrival time threshold according to the analysis results, and then perform invalid parking analysis on the license plate number corresponding to the navigation data in combination with the predicted arrival time and the arrival time threshold, and adjust the number of parking spaces according to the valid parking analysis results; S5. Set up license plate number storage through the entrance and exit gates of the parking lot. At the same time, compare the number of stored license plate numbers with the total number of network vehicles and parking spaces, and perform statistics on the remaining parking spaces on the information management platform according to the comparison results.

[0006] As a further improvement of this technical solution, the steps of S1 are as follows: S1.1. Establish a data connection between the information management platform of the parking lot and the map navigation software, so that the information management platform has the right to display data in the map navigation software, and at the same time, the information management platform has the right to access the navigation data with the end point of this parking lot in the map navigation software; S1.2. Incorporate the internal parking space data and driving road data of the parking lot into the information management platform, so that the information management platform can obtain the location of each parking space in the parking lot and the entry route and exit route in the parking lot.

[0007] As a further improvement of this technical solution, the steps of S2 are as follows: S2.1. Transmit the monitoring data from the cameras installed in the parking lot to the information management platform, so that all the monitoring images recorded by the cameras are uploaded to the information management platform; S2.2. Set the parking time threshold, and identify the parking status of the vehicle based on the monitoring data in combination with the parking time threshold. When the time when the vehicle stops moving after entering the parking space is greater than the parking time threshold, it is determined that the vehicle has completed parking. On the contrary, when the time when the vehicle stops moving after entering the parking space is less than the parking time threshold, continuous monitoring is maintained.

[0008] As a further improvement of this technical solution, the steps of S2 are as follows: S2.3. Detect the departure of the vehicle that has completed parking in S2.2. When the parked vehicle moves and the moving range exceeds the parking space, it is determined that the vehicle is in the departure state; S2.4. Locate the vehicle determined to be in the departure state in S2.3 according to the monitoring data, and at the same time obtain the congestion status of the exit route according to the monitoring data, and then predict the departure time of the vehicle leaving the parking lot by predicting the vehicle position, exit route and congestion status; S2.5. Input the predicted departure time obtained in S2.4 into the information management platform, so that the information management platform estimates and increases the display of the remaining parking spaces in the parking space quantity display.

[0009] As a further improvement of this technical solution, in step S3, when the user needs to navigate to this parking lot for parking in the map navigation software, the user needs to enter the license plate number, so that the user's license plate number is entered into the information management platform at the start of navigation, and the user enters the parking lot by identifying the entered license plate number.

[0010] As a further improvement of this technical solution, the steps of S3 are as follows: S3.1. The information management platform displays the remaining number of parking spaces counted in real time in the map navigation software; S3.2. Collect navigation data with the end point being this parking lot in the map navigation software, and perform validity screening. Delete the navigation data of vehicles without entering the license plate number, and then, according to the real-time number of collected navigation data, count the real-time number of collected navigation data as the number of online vehicles for the number statistics of online vehicles.

[0011] As a further improvement of this technical solution, the steps of S4 are as follows: S4.1. Extract the predicted arrival time from the corresponding navigation data according to the online vehicles counted in S3.2; S4.2. Extract the monitoring images of the surrounding environment of the parking lot from the monitoring data, and then perform congestion analysis according to the monitoring images to obtain the congestion status around the parking lot, and then set the arrival time threshold according to the congestion status; S4.3. Perform effective parking analysis in the information management platform by combining the arrival time threshold with the predicted arrival time. When the license plate number corresponding to the predicted arrival time does not reach within the combination of the arrival time threshold and the predicted arrival time, determine that this navigation data is invalid and reduce it in the number of online vehicles. On the contrary, when the license plate number corresponding to the predicted arrival time reaches within the combination of the arrival time threshold and the predicted arrival time, delete this license plate number from the online vehicles.

[0012] As a further improvement of this technical solution, when setting the arrival time threshold according to the congestion status in S4.2, the more congested the congestion status is, the more the arrival time threshold is, and on the contrary, the smoother the congestion status is, the less the arrival time threshold is.

[0013] As a further improvement of this technical solution, the steps of S5 are as follows: S5.1. Establish a parking record library for the parking lot, set the license plate number storage through the entrance and exit gates of the parking lot, and at the same time, S3.2 inputs the license plate numbers of the counted online vehicles into the parking record library; When the vehicle passes through the entrance gate, enter the license plate number of this vehicle into the parking record library; When the vehicle passes through the exit gate, delete the license plate number of the vehicle in the parking record database; When the license plate number of a network vehicle passes through the entrance gate, do not enter the license plate number newly; S5.2. Compare the number of license plate numbers in the parking record database with the total number of parking spaces, and perform statistics on the remaining parking spaces on the information management platform according to the comparison result.

[0014] Compared with the prior art, the beneficial effects of the present invention are: 1. In the data processing method for an information management platform, users can see information such as the remaining number of parking spaces in the parking lot, the surrounding congestion status, and the predicted arrival time in the map navigation software, which helps users better plan their trips, reduces the time and anxiety of finding parking spaces. At the same time, users only need to enter the license plate number at the start of navigation to conveniently enter the parking lot, improving the user's convenience of use.

[0015] 2. In the data processing method for an information management platform, by transmitting various data of the parking lot, such as parking space status, vehicle parking time, surveillance video, etc. to the information management platform in real time, managers can always grasp the operation situation of the parking lot and make timely and accurate decisions.

[0016] 3. In the data processing method for an information management platform, by setting an arrival time threshold according to the congestion status and performing effective parking analysis on network vehicles, it is possible to more accurately predict the number of vehicles actually entering the parking lot, avoiding waste of resources caused by overestimating demand. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 is the overall flow block diagram of the present invention; Figure 2 is the flow block diagram of establishing a data connection between the present invention and the map navigation software; Figure 3 is the flow block diagram of transmitting surveillance data in the present invention; Figure 4 is the flow block diagram of collecting navigation data with the destination being this parking lot in the present invention; Figure 5 is the flow block diagram of extracting the predicted arrival time from the corresponding navigation data in the present invention; Figure 6 is the flow block diagram of performing statistics on the remaining parking spaces on the information management platform in the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0018] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0019] Please refer to Figure 1 - Figure 6 As shown, the purpose of this embodiment is to provide a data processing method for an information management platform, including the following steps: S1. Connect the information management platform of the parking lot to the map navigation software, and at the same time obtain the parking space data and driving road data inside the parking lot; The steps of S1 are as follows: S1.1. Establish a data connection between the information management platform of the parking lot and the map navigation software, so that the information management platform has the right to display data in the map navigation software, and at the same time the information management platform has the right to obtain the navigation data with the destination being the parking lot in the map navigation software. The specific steps are as follows: Clarify the data content that the parking lot information management platform needs to display on the map navigation software, such as the location of the parking lot, the remaining number of parking spaces, the charging standard, etc.; Select a suitable map navigation software API: Research the development interfaces provided by major map navigation software, such as Baidu Map API, Amap API, etc., evaluate factors such as their functions, stability, ease of use, and cost, and select the most suitable API for integration. You can choose to use the HTTP / HTTPS protocol for data transmission, or adopt more efficient real-time data transmission technologies, such as WebSocket, etc.; Database design: Add map navigation-related data fields to the database of the parking lot information management platform, such as the longitude and latitude coordinates of the parking lot, the interface identifier with the map navigation software, etc.; Data interface development: Develop interfaces for data interaction with the map navigation software, including data upload interfaces and data reception interfaces; The data upload interface is used to send the information of the parking lot (such as location, remaining number of parking spaces, etc.) to the map navigation software. The interface should support real-time data updates to ensure that the parking lot information displayed on the map navigation software is always accurate; The data reception interface is used to receive the navigation data with the destination being the parking lot transmitted from the map navigation software. The interface should be able to parse and process this data and store it in the database of the parking lot information management platform for subsequent analysis and use.

[0020] S1.2. The internal parking space data and driving road data of the parking lot are incorporated into the information management platform, enabling the platform to obtain the location of each parking space in the parking lot as well as the entry and exit routes within the parking lot. The specific steps are as follows: Collection of parking space data: Each parking space in the parking lot is numbered and located. The location of each parking space can be determined using a coordinate system (such as a plane rectangular coordinate system or a geographic coordinate system). Collection of driving road data: The driving roads within the parking lot are drawn. The shape and size of the roads can be obtained using drawing software or on-site measurement, and then the traffic direction and restrictions of the roads, such as one-way driving, are determined.

[0021] S2. Obtain the monitoring data of the parking lot, then conduct departure monitoring on the vehicles in the parking spaces based on the monitoring data, predict the departure time according to the location of the departing vehicles in combination with the monitoring data and the driving roads, and input the predicted departure time into the information management platform to predict, adjust, and display the number of parking spaces. The steps of S2 are as follows: S2.1. Transmit the monitoring data from the cameras installed in the parking lot to the information management platform, so that the monitoring images recorded by the cameras are all uploaded to the information management platform. The specific steps are as follows: Installation of cameras: Install cameras at key locations in the parking lot to ensure that the coverage meets the monitoring requirements. At the same time, configure the network connection of the cameras to ensure that they can communicate with the information management platform. Installation of monitoring software: Install monitoring software on the information management platform to receive and manage the monitoring data transmitted by the cameras, and set the parameters of the monitoring software, such as the camera list, storage path, recording plan, etc. Ensure that the monitoring software can correctly identify and connect to the cameras. Start the cameras and the monitoring software: Start the cameras and the monitoring software on the information management platform to ensure that the cameras start transmitting monitoring data.

[0022] S2.2. Set the parking time threshold, and identify the parked vehicles based on the monitoring data in combination with the parking time threshold. When the time that the vehicle stops moving after entering the parking space is greater than the parking time threshold, it is determined that the vehicle has completed parking. Conversely, when the time that the vehicle stops moving after entering the parking space is less than the parking time threshold, continuous monitoring is maintained. The specific steps are as follows: Determine the parking time threshold: Study the historical data of the parking lot, including the average parking time of vehicles, the parking time distribution during peak and off-peak hours, etc. An initial parking time threshold, such as ten minutes, can be set first, and then its effectiveness can be evaluated through actual monitoring and analysis, and adjusted according to the actual situation to find the most suitable threshold. Monitoring the vehicle's moving status: By analyzing the vehicle's movement through surveillance videos, computer vision technology or motion detection algorithms can be used to determine whether the vehicle has stopped moving; When the vehicle enters the parking space, record the time point. Continuously monitor the vehicle's status. When the vehicle stops moving, start calculating the parking time. Subtract the time when the vehicle entered the parking space from the current time to obtain the vehicle's parking time; Compare with the parking time threshold: Compare the calculated parking time with the set parking time threshold; If the parking time is greater than the threshold, it is determined that the vehicle has completed parking. The status of the parking space can be marked as occupied, and the vehicle's parking information can be recorded; If the parking time is less than the threshold, continue to monitor the vehicle's status until the parking time reaches or exceeds the threshold, or the vehicle starts moving again. The formula is as follows:

[0023] Among them, T z is the parking time, T x is the current time, T c is the time when the vehicle entered the parking space, T y is the parking time threshold; When T z > T y , it is determined that the vehicle has completed parking; When T z < T y , continue to monitor the vehicle's status; The steps of S2 are as follows: S2.3. Conduct departure detection on the vehicles identified as having completed parking in S2.2. When the parked vehicle moves and the moving range exceeds the parking space, it is determined that the vehicle is in the departure state; S2.4. Locate the vehicle determined to be in the departure state in S2.3 based on the surveillance data. At the same time, obtain the congestion status of the exit route according to the surveillance data. Then predict the departure time of the vehicle leaving the parking lot by predicting the vehicle's position, exit route, and congestion status. The specific steps are as follows: Vehicle departure detection: After determining that the vehicle has completed parking, continue to continuously monitor the parking space where the vehicle is located and the surrounding area through the cameras installed in the parking lot. At the same time, use computer vision technology or motion detection algorithms to analyze the surveillance data to determine whether the vehicle has moved. When it is detected that the vehicle has moved, further track its movement trajectory. Then, when the moving range of the vehicle exceeds its original parked parking space, it is determined that the vehicle is in the departure state; Determine the position based on the surveillance footage: Once the vehicle is determined to be in the state of leaving the parking lot, by analyzing the surveillance footage at the current moment and combining with the established coordinate system or area division within the parking lot, determine the approximate position of the vehicle within the parking lot, record the current position information of the vehicle into the information management platform, and update the vehicle's status to "leaving" in real time; Determine the possible exit routes: Based on the layout of the parking lot and the current position of the vehicle, determine the possible exit routes of the vehicle. Generally, a parking lot has fixed entrance and exit channels and internal passage routes, and plan the vehicle's exit routes through this information; Analyze the congestion situation of the routes: Along each possible exit route, analyze information such as the vehicle density and vehicle driving speed of each section in the surveillance data to judge the congestion status. The congestion degree can be defined by setting congestion thresholds (such as the vehicle quantity threshold per unit length section, the average driving speed threshold, etc.). When the vehicle quantity per unit length of a certain section exceeds the set threshold or the average driving speed is lower than the set threshold, determine that section to be in a congested state; Calculate the basic driving time: Assume that the vehicle travels along the exit route without congestion. According to the lengths of each section within the parking lot and the passing time of the vehicle at the normal driving speed, calculate the basic driving time of the vehicle along each possible exit route, and then adjust the basic driving time according to the obtained congestion status of the exit route. The formula is as follows:

[0024] Where, T b is the total basic driving time of the vehicle along a certain exit route, obtained by accumulating the basic driving times of each section on the exit route. n is the number of sections on the exit route. L i is the length of the i-th section. The lengths of different sections within the parking lot are different, and the length value of each section needs to be determined separately to accurately calculate the driving time. V is the normal driving speed of the vehicle, obtained by analyzing the normal speed based on the surveillance data from when the vehicle enters the parking lot until it completes parking, so as to obtain the normal driving speed of the vehicle within the parking lot;

[0025] Where, T a is the adjusted driving time considering congestion factors. m represents the number of congested sections. k j represents the congestion coefficient of the j-th congested section. The congestion coefficient is a value used to measure the influence degree of the congested section on the driving time, greater than 1, indicating that the driving time of the vehicle in this section will increase due to congestion. The specific value needs to be set according to the actual congestion situation. For example, when the congestion is severe, the congestion coefficient may take a larger value. T j represents the basic driving time of the j-th congested section without congestion;

[0026] Among them, T p is the predicted departure time when the vehicle leaves the parking lot, and T l is the time when the vehicle is determined to be in the departure state, which is the moment recorded when it is detected by the monitoring data that the vehicle starts to move and exceeds the parking space range. S2.5. Input the predicted departure time obtained in S2.4 into the information management platform, so that the information management platform estimates and increases the display of the remaining parking spaces in the parking space quantity display. The specific steps are as follows: Calculate the estimated remaining parking spaces: Based on the current number of available parking spaces, according to the predicted departure time of the vehicles about to leave, estimate the number of parking spaces that may increase in a future period. If there are multiple vehicles about to leave, the estimated increased parking space quantity corresponding to each vehicle can be calculated separately and then accumulated; Display the estimated remaining parking spaces: Display the calculated estimated remaining parking space quantity on the parking space quantity display interface of the information management platform, which can be presented in digital display, chart display or other visualization methods, so that users can intuitively understand the parking space situation in the parking lot.

[0027] S3. Display the number of parking spaces in the map navigation software through the information management platform, and at the same time collect the navigation data with the destination being this parking lot in the map navigation software, and adjust the number of parking spaces for network vehicles according to the real-time quantity of the navigation data; S3 When the user needs to navigate to this parking lot for parking in the map navigation software, the user needs to enter the license plate number, so that the user's license plate number is entered into the information management platform at the start of navigation, and the user enters the parking lot by identifying the entered license plate number.

[0028] Trigger of user demand: When the user searches for this parking lot in the map navigation software and decides to navigate there, a prompt box pops up asking the user to enter the license plate number.

[0029] Vehicle arrival: When the user drives the vehicle to the parking lot entrance, the license plate recognition system of the parking lot starts.

[0030] License plate recognition: The system recognizes the license plate number of the vehicle and compares it with the license plate number stored in the information management platform.

[0031] Allowed to enter: If the recognized license plate number is consistent with the license plate number in the information management platform, the parking lot entrance barrier is opened to allow the vehicle to enter the parking lot.

[0032] The steps of S3 are as follows: S3.1. The information management platform displays the remaining parking spaces counted in real time in the map navigation software. S3.2. Collect navigation data with the destination being this parking lot in the map navigation software, and conduct validity screening. Delete the navigation data of vehicles without license plate numbers entered. Then, based on the real-time quantity of the collected navigation data, count the quantity of network vehicles using the real-time quantity of the collected navigation data as the network vehicle quantity. The specific steps are as follows: Real-time display of the remaining parking space quantity: The information management platform queries the data of the remaining parking space quantity of the current parking lot in real time from its own database, then converts the obtained remaining parking space quantity data into a format that the map navigation software can recognize and process. After that, after receiving the remaining parking space quantity data sent by the information management platform, the map navigation software, according to its own interface design and display logic, displays the remaining parking space quantity to users in an intuitive form such as numbers and icons near the corresponding parking lot icon or relevant area. Validity screening of navigation data: The map navigation software sets up a data collection mechanism. For all navigation requests with the destination set as this parking lot, collect relevant navigation data, which includes various information such as the user's starting location, estimated departure time, route preference, vehicle type (obtainable in some cases), etc. Then, for each piece of collected navigation data, check whether it contains license plate number information, and screen out the navigation data corresponding to vehicles without license plate numbers entered. Data marking and deletion preparation: Mark the navigation data of vehicles without license plate numbers entered that are screened out so as to accurately identify the data that needs to be deleted, and delete the navigation data of vehicles without license plate numbers entered from the storage area according to the marked or to-be-deleted data list. Counting the quantity of network vehicles: After completing the deletion operation of the navigation data of vehicles without license plate numbers entered, obtain the real-time quantity of the remaining navigation data that has passed the validity screening, and then count the real-time quantity of the obtained navigation data as the quantity of network vehicles. As new navigation data is continuously collected, screened, and processed, update the statistical value of this network vehicle quantity in real time to ensure that it always reflects the current latest situation.

[0033] S4. Extract the predicted arrival time of the navigation data, then conduct congestion analysis on the surrounding environment of the parking lot based on the monitoring data, set the arrival time threshold according to the analysis result, and then conduct invalid parking analysis on the license plate numbers corresponding to the navigation data in combination with the predicted arrival time and the arrival time threshold, and adjust the quantity of parking spaces according to the result of the valid parking analysis. The steps of S4 are as follows: S4.1. Extract the predicted arrival time in the corresponding navigation data according to the network vehicles counted in S3.2. Accurately extract the predicted arrival time information of each vehicle from the navigation data corresponding to the statistical network vehicles through data parsing.

[0034] S4.2. Extract the surveillance images of the surrounding environment of the parking lot from the surveillance data, then conduct congestion analysis based on the surveillance images to obtain the congestion status around the parking lot, and then set the arrival time threshold according to the congestion status; When S4.2 sets the arrival time threshold according to the congestion status, the more congested the congestion status is, the more the arrival time threshold is, and vice versa, the smoother the congestion status is, the less the arrival time threshold is.

[0035] S4.3. Conduct effective parking analysis in the information management platform by combining the arrival time threshold with the predicted arrival time. When the license plate number corresponding to the predicted arrival time exceeds the combination of the arrival time threshold and the predicted arrival time and has not reached it, determine that the navigation data is invalid and reduce it in the number of network vehicles. Conversely, when the license plate number corresponding to the predicted arrival time reaches within the combination of the arrival time threshold and the predicted arrival time, delete the license plate number from the network vehicles. The specific steps are as follows: Conduct congestion analysis based on the surveillance images to obtain the congestion status: Through the target detection algorithm, identify traffic participants such as vehicles and pedestrians in the surveillance images and count their numbers. At the same time, combined with the road information in the images (such as the number of lanes, road width, etc.), the traffic flow per unit area or per unit section can be estimated; Set the criteria for congestion judgment based on indicators such as traffic flow and the driving speed of vehicles (which can be estimated by analyzing the displacement of vehicles in multiple frames of images). For example, when the number of vehicles in a unit section exceeds a certain threshold and the average driving speed of vehicles is lower than a certain set value, determine that the section is in a congested state; conversely, if the number of vehicles is small and the driving speed is normal, determine it to be in a smooth state; Comprehensively analyze the congestion conditions of each section or area around the parking lot to obtain the congestion status of the entire area around the parking lot. The congestion status can be represented by different levels, such as smooth, slightly congested, moderately congested, and severely congested; Set the arrival time threshold according to the congestion status: According to business requirements and practical experience, pre-determine the corresponding relationship between the congestion status and the arrival time threshold. Set the arrival time threshold in the smooth state to 10 minutes for smooth, 15 minutes for slightly congested, 20 minutes for moderately congested, and 30 minutes for severely congested; Prepare for effective parking analysis: Associate and organize the extracted predicted arrival time with the corresponding license plate number and the set arrival time threshold. For each set of associated predicted arrival time, license plate number, and arrival time threshold, make the following judgments: When the license plate number corresponding to the predicted arrival time exceeds the arrival time threshold and the predicted arrival time is not reached, the navigation data is determined to be invalid, and at the same time, a reduction operation is performed in the network vehicle quantity statistical data, that is, the network vehicle quantity is updated; When the license plate number corresponding to the predicted arrival time reaches within the arrival time threshold combined with the predicted arrival time, the license plate number is deleted from the network vehicles.

[0036] S5. Set the license plate number storage through the entrance and exit gates of the parking lot, and at the same time compare the number of stored license plate numbers with the total number of network vehicles and parking spaces, and perform the remaining parking space statistics on the information management platform according to the comparison result.

[0037] The steps of S5 are as follows: S5.1. Establish a parking record library for the parking lot, set the license plate number storage through the entrance and exit gates of the parking lot, and at the same time S3.2 inputs the license plate numbers of the statistical network vehicles into the parking record library; When a vehicle passes through the entrance gate, the license plate number of the vehicle is entered into the parking record library; When a vehicle passes through the exit gate, the license plate number of the vehicle is deleted from the parking record library; When the license plate number of a network vehicle passes through the entrance gate, no new license plate number entry is performed; S5.2. Compare the number of license plate numbers in the parking record library with the total number of parking spaces, and perform the remaining parking space statistics on the information management platform according to the comparison result. The specific steps are as follows: Database creation: Select a suitable database management system (such as a relational database like MySQL, Oracle, or a non-relational database like MongoDB) to create the parking record library; License plate number storage setting for the entrance and exit gates: Install a license plate recognition device at the entrance gate, connect it to the database, configure the data transmission link, ensure that when a vehicle passes through the entrance gate, the license plate recognition device can accurately recognize the license plate number, and transmit it together with the vehicle entry and exit status, current time, etc. information to the parking record library for storage. The same applies to the exit gate; Processing of the network vehicle entrance gate: For the license plate numbers of the statistical network vehicles, input them into the parking record library through the corresponding data interface or program logic. When the license plate number of a network vehicle passes through the entrance gate, since its license plate number has been input into the parking record library before, no new license plate number entry operation is performed here, but it is necessary to confirm whether its license plate number is consistent with the license plate numbers of the network vehicles already in the parking record library through the license plate recognition device, and record information such as the time it passes through the entrance gate, and update the relevant records of the vehicle in the parking record library; Statistical calculation of remaining parking spaces based on the parking record database: Query the number of license plate numbers in the current parking record database excluding the vehicles that have been marked as leaving the parking lot through database query statements. At the same time, obtain the total number of parking spaces from the basic configuration information of the parking lot, and then subtract and combine them. After that, display the calculated number of remaining parking spaces on the information management platform or use them for other relevant management operations so that the parking lot management staff and users can timely understand the parking space situation of the parking lot.

[0038] The above shows and describes the basic principles, main features and advantages of the present invention. Those skilled in the art of this industry should understand that the present invention is not limited by the above embodiments. The above embodiments and the descriptions in the specification are only preferred examples of the present invention and are not used to limit the present invention. Without departing from the spirit and scope of the present invention, the present invention will have various changes and improvements, and these changes and improvements all fall within the scope of the present invention claimed. The scope of the present invention claimed is defined by the appended claims and their equivalents.

Claims

1. A data processing method for an information management platform, characterized in that: The following steps are involved: S1. Connect the parking lot information management platform to the map navigation software, and simultaneously obtain the parking space data and driving road data inside the parking lot; S2. Obtain monitoring data of the parking lot, and then monitor the vehicles leaving the parking spaces according to the monitoring data, predict the departure time according to the position of the vehicles leaving the parking lot in combination with the monitoring data and the driving road, and input the predicted departure time into the information management platform to predict and adjust the number of parking spaces; S3, displaying the number of parking spaces in the map navigation software through the information management platform, collecting navigation data with the end point of the parking lot in the map navigation software, and adjusting the number of parking spaces for network vehicles according to the real-time number of navigation data; S4, extracting the predicted arrival time from the navigation data, and then performing a congestion analysis on the parking lot surrounding environment based on the monitoring data, setting an arrival time threshold based on the analysis results, and then performing an invalid parking analysis on the license plate number corresponding to the navigation data combined with the predicted arrival time and the arrival time threshold, and adjusting the number of parking spaces based on the valid parking analysis results; S5. The license plate numbers are stored and set through the entrance and exit gates of the parking lot. At the same time, the number of stored license plate numbers is compared with the total number of network vehicles and parking spaces. According to the comparison results, the remaining parking spaces are counted on the information management platform.

2. A data processing method for an information management platform according to claim 1, characterized in that: The steps of S1 are as follows: S1.

1. Establish data connection between the parking lot's information management platform and the map navigation software, so that the information management platform has the right to display data in the map navigation software, and the information management platform has the right to display navigation data with the parking lot as the destination in the map navigation software; S1.

2. The parking space data and driving road data in the parking lot are included in the information management platform, so that the information management platform can obtain the location of each parking space in the parking lot and the entry and exit routes in the parking lot.

3. A data processing method for an information management platform according to claim 1, characterized in that: The steps of S2 are as follows: S2.

1. The cameras installed in the parking lot are used to transmit monitoring data to the information management platform, so that the cameras upload all the recorded monitoring images to the information management platform; S2.

2. Set a parking time threshold, and identify the vehicle according to the monitoring data and the parking time threshold. When the time the vehicle stops moving after entering the parking space is greater than the parking time threshold, the vehicle is judged to have completed parking. Conversely, when the time the vehicle stops moving after entering the parking space is less than the parking time threshold, monitoring is continued.

4. A data processing method for an information management platform according to claim 1, characterized in that: The steps of S2 are as follows: S2.3, performing departure detection on the vehicle identified as parked in S2.

2. When the parked vehicle moves and the moving range exceeds the parking space, the vehicle is determined to be in the departure state; S2.4, positioning the vehicle determined to be in the departure state in S2.3 according to the monitoring data, and obtaining the congestion status of the exit route according to the monitoring data, and then predicting the departure time based on the vehicle position, exit route and congestion status, to obtain the predicted departure time of the vehicle from the parking lot; S2.

5. Input the predicted departure time obtained in S2.4 into the information management platform, so that the information management platform makes an estimated increase in the display of the number of remaining parking spaces.

5. A data processing method for an information management platform according to claim 1, characterized in that: In S3, when the user needs to navigate to the parking lot for parking in the map navigation software, the user is required to enter the license plate number, so that the user's license plate number is entered into the information management platform when the navigation starts, and the user enters the parking lot by identifying the entered license plate number.

6. A data processing method for an information management platform according to claim 1, characterized in that: The steps of S3 are as follows: S3.

1. The information management platform displays the number of remaining parking spaces in the parking statistics in real time in the map navigation software; S3.

2. In the map navigation software, navigation data with the destination being the parking lot is collected and screened for validity. The navigation data of vehicles without license plate numbers is deleted, and then the real-time number of collected navigation data is used as the number of network vehicles for network vehicle statistics.

7. A data processing method for an information management platform according to claim 1, characterized in that: The steps of S4 are as follows: S4.1, extracting the predicted arrival time in the corresponding navigation data according to the network vehicles counted in S3.2; S4.2, extracting monitoring images of the surrounding environment of the parking lot from the monitoring data, and then performing congestion analysis based on the monitoring images to obtain the congestion status around the parking lot, and then setting the arrival time threshold according to the congestion status; S4.

3. The arrival time threshold is combined with the predicted arrival time to conduct effective parking analysis in the information management platform. When the license plate number corresponding to the predicted arrival time exceeds the arrival time threshold and the predicted arrival time is not reached, the navigation data is judged as invalid and the number of network vehicles is reduced. Conversely, when the license plate number corresponding to the predicted arrival time is within the arrival time threshold and the predicted arrival time is reached, the license plate number is deleted from the network vehicles.

8. A data processing method for an information management platform according to claim 7, characterized in that: When the arrival time threshold is set according to the congestion state in S4.2, the more congested the congestion state is, the more the arrival time threshold is. Conversely, the smoother the congestion state is, the smaller the arrival time threshold is.

9. A data processing method for an information management platform according to claim 1, characterized in that: The steps of S5 are as follows: S5.1, establish a parking record database for the parking lot, store and set the license plate numbers through the entrance and exit gates of the parking lot, and at the same time S3.2 input the license plate numbers of the statistical network vehicles into the parking record database; When a vehicle passes through the import gate, the license plate number of the vehicle is entered into the parking record database; When a vehicle passes through the exit gate, the license plate number of the vehicle is deleted from the parking record database; When the license plate number of a network vehicle passes through the import gate, no new entry of the license plate number is performed; S5.

2. Compare the number of license plate numbers in the parking record database with the total number of parking spaces, and count the remaining parking spaces on the information management platform based on the comparison results.

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