Parking lot data management method

Abstract

The present invention provides a parking lot data management method, which relates to the technical field of data management. The method comprises: acquiring and verifying parking lot data based on pre-deployed sensors and pre-deployed identification equipment of the parking lot, and integrating and processing the verified parking lot data to obtain a parking lot integrated data packet; performing data privacy processing on the parking lot integrated data packet and encrypting and transmitting it to a data management platform, and updating and visually displaying the current parking lot data in real time according to the data acquisition time; acquiring historical parking lot data to construct a parking lot parking model, predicting the parking demand of the next parking cycle according to the current parking lot data updated in real time, and generating predicted parking lot data; and effectively realizing efficient and high-quality management of parking lot data.

Description

Technical Field

[0001] The present invention relates to the technical field of data management, and in particular to a parking lot data management method. Background Art

[0002] With the continuous increase in the number of vehicles, parking lot data has become more and more numerous and complex, involving multiple aspects such as vehicle entry and exit, vehicle charging, parking space allocation and user management. The existing data processing efficiency is low, and the parking lot data update is delayed, affecting the user's actual parking experience; in addition, the parking lot's data storage standards and communication protocols are not unified, and data sharing between the parking lot and other systems cannot be achieved.

[0003] Therefore, the present invention provides a parking lot data management method. Summary of the invention

[0004] The present invention provides a parking lot data management method, which obtains and verifies parking lot data through pre-deployed sensors and pre-deployed identification devices based on parking lots, integrates and processes the verified parking lot data to obtain a parking lot integrated data packet; performs data privacy processing on the parking lot integrated data packet and encrypts and transmits it to a data management platform, and updates and visualizes the current parking lot data in real time according to the data acquisition time; obtains historical parking lot data to build a parking lot parking model, predicts the parking demand for the next parking cycle according to the current parking lot data updated in real time, and generates predicted parking lot data; effectively realizes efficient and high-quality management of parking lot data.

[0005] The present invention provides a parking lot data management method, comprising:

[0006] Step 1: Acquire and verify parking lot data based on pre-deployed sensors and pre-deployed identification devices in the parking lot, and integrate and process the verified parking lot data to obtain a parking lot integrated data packet;

[0007] Step 2: Perform data privacy processing on the parking lot integrated data package and encrypt and transmit it to the data management platform, and update the current parking lot data in real time and visualize it according to the data acquisition time;

[0008] Step 3: Obtain historical parking lot data to build a parking lot model, predict the parking demand for the next parking cycle based on the current parking lot data updated in real time, and generate predicted parking lot data.

[0009] According to the parking lot data management method provided by the present invention, the parking lot data is acquired and verified based on the pre-deployed sensors and pre-deployed identification devices in the parking lot, including:

[0010] Pre-deploy sensors at the entrance and exit of the parking lot and the parking spaces. When a vehicle enters or exits the parking lot or parks in a parking space, parking lot data is generated once. The pre-deployed sensors include: infrared sensors and geomagnetic sensors;

[0011] Pre-deploy identification equipment at the entrance and exit of the parking lot and the parking spaces to automatically identify and read the vehicle license plate information data and generate secondary parking lot data, wherein the secondary parking lot data includes: parking entry time data, preset parking space data and vehicle information data;

[0012] When a vehicle is detected to be parked in a parking lot, the primary parking lot data is supplemented and verified based on the secondary parking lot data;

[0013] When the actual parking space data of the primary parking lot data of the monitored vehicle is inconsistent with the preset parking space data of the secondary parking lot data, the secondary parking lot data is updated and verified according to the primary parking lot data.

[0014] According to the parking lot data management method provided by the present invention, the parking lot data that has passed the verification is integrated and processed to obtain the parking lot integrated data packet, including:

[0015] Carry out data integration and cleaning on the parking lot data that have passed the verification, and remove duplicate parking lot data or erroneous parking lot data;

[0016] The parking lot data that has been cleaned and processed by data integration is subjected to data integration and fusion processing, the parking lot data of the same vehicle is extracted and data fused, and the parking lot integrated data packet of the vehicle is obtained.

[0017] According to the parking lot data management method provided by the present invention, data privacy processing is performed on the parking lot integrated data packet and encrypted and transmitted to the data management platform, including:

[0018] Perform local data privacy processing on parking lot integrated data packets;

[0019] Build a data management platform, preset data transmission nodes, and when data transmission is detected, plan the optimal transmission route between the parking lot node and the preset data transmission node;

[0020] According to the preset encryption transmission algorithm and the optimal transmission route, the parking lot integrated data packet after local data privacy processing is encrypted and transmitted to the data management platform.

[0021] According to the parking lot data management method provided by the present invention, the current parking lot data is updated in real time and visualized according to the data acquisition time, including:

[0022] Isolate and verify the encrypted transmission data, and store the encrypted transmission data after the verification passes;

[0023] Recording the verification passing time as the data acquisition time of the encrypted transmission data, and matching the encrypted transmission data with the current parking lot data stored in the data management platform according to the data type;

[0024] The data is updated in real time according to the data matching results and the updated current parking lot data is visualized.

[0025] The parking lot data management method provided by the present invention further includes:

[0026] Divide the storage area of ​​the data management platform and preset the platform resource allocation ratio to determine the high allocation resource storage area, the medium allocation resource storage area and the low allocation resource storage area;

[0027] Comprehensively weight and quantify the current parking lot data according to the data acquisition time and the number of data accesses to determine the storage access quantization value of the current parking lot data;

[0028] Setting a storage access quantization range of a storage area, and determining a storage area for current parking lot data in combination with the storage access quantization value;

[0029] The current parking lot data stored in the high allocation resource storage area is cached according to a preset data cache strategy.

[0030] According to the parking lot data management method provided by the present invention, historical parking lot data is acquired to build a parking lot parking model, and parking demand for the next parking cycle is predicted based on current parking lot data updated in real time to generate predicted parking lot data, including:

[0031] Obtain historical parking lot data and determine parking lot data characteristics;

[0032] Determine the parking model type based on the data storage cycle and parking lot data characteristics, and build and train the parking model;

[0033] Obtain parking cycles and determine current parking demand for the current parking cycle based on current parking lot data updated in real time;

[0034] Performing data feature screening processing on the current parking lot data updated in real time according to the current parking demand to determine the current parking demand sub-data;

[0035] Inputting the current parking demand sub-data into the trained parking lot parking model, obtaining the data relevance of the current parking demand sub-data, and determining the data similarity between the current parking demand sub-data and the historical parking lot data;

[0036] ;in, Indicates the data similarity between the current parking demand sub-data and the historical parking lot data; Indicates The data autocorrelation of the current parking demand sub-data; Indicates Data autocorrelation of historical parking lot data; Indicates The current parking demand sub-data and Data correlation of historical parking lot data; Indicates the number of data in the parking cycle of the current parking demand sub-data; Indicates the number of data in the parking cycle of the historical parking data; Indicates the data quantity of the current parking demand sub-data; The number of data representing historical parking data;

[0037] When the data similarity between the current parking demand sub-data and the historical parking lot data is not less than a preset similarity, obtaining the previous parking lot data of the previous parking cycle to perform a secondary data similarity calculation;

[0038] When the similarity of the secondary data is not less than the preset similarity, the parking cycle interval between the parking cycle of the current parking demand sub-data and the parking cycle of the historical parking data is obtained to perform weighted processing on the data similarity confidence value;

[0039] When the weighted processing result of the data similarity confidence value determines that the data similarity is credible, the parking demand for the next parking cycle is predicted based on the current parking lot data updated in real time to generate predicted parking lot data.

[0040] The parking lot data management method provided by the present invention further includes:

[0041] Set up a user interaction interface to allow users to interact with the current parking lot data displayed visually;

[0042] Set up data intercommunication interface to allow other service platforms to communicate data with the data management platform.

[0043] Compared with the prior art, the present invention has the following beneficial effects:

[0044] Based on the pre-deployed sensors and pre-deployed identification equipment in the parking lot, the parking lot data is acquired and verified, and the verified parking lot data is integrated and processed to obtain the parking lot integrated data packet; the parking lot integrated data packet is processed for data privacy and encrypted for transmission to the data management platform, and the current parking lot data is updated in real time and visualized according to the data acquisition time; historical parking lot data is acquired to build a parking lot parking model, and the parking demand for the next parking cycle is predicted based on the real-time updated current parking lot data to generate predicted parking lot data; efficient and high-quality management of parking lot data is effectively achieved.

[0045] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures particularly pointed out in the written description and the accompanying drawings.

[0046] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0048] Figure 1 It is a flowchart of a parking lot data management method provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0049] The preferred embodiments of the present invention are described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0050] Embodiment 1:

[0051] The embodiment of the present invention provides a parking lot data management method, such as Figure 1 As shown, including:

[0052] Step 1: Acquire and verify parking lot data based on pre-deployed sensors and pre-deployed identification devices in the parking lot, and integrate and process the verified parking lot data to obtain a parking lot integrated data packet;

[0053] Step 2: Perform data privacy processing on the parking lot integrated data package and encrypt and transmit it to the data management platform, and update the current parking lot data in real time and visualize it according to the data acquisition time;

[0054] Step 3: Obtain historical parking lot data to build a parking lot model, predict the parking demand for the next parking cycle based on the current parking lot data updated in real time, and generate predicted parking lot data.

[0055] In this embodiment, the pre-deployed sensors in the parking lot include: infrared sensors and geomagnetic sensors.

[0056] In this embodiment, parking lot data is acquired and verified through pre-deployed sensors and pre-deployed identification devices in the parking lot to ensure data accuracy and update timeliness.

[0057] In this embodiment, the parking lot data that have passed the verification are integrated and processed, for example, the parking lot data of the same parking period are integrated and processed according to the data type.

[0058] In this embodiment, data privacy processing is performed on the parking lot integrated data packet and encrypted transmission is performed to ensure the security of the parking lot data.

[0059] In this embodiment, the data acquisition time refers to the time when the data management platform effectively receives the parking lot integrated data packet.

[0060] In this embodiment, the parking demand for the next parking cycle is predicted based on the current parking lot data updated in real time, wherein the next parking cycle is determined based on the predicted demand. For example, the parking demand for the next week is predicted based on the parking lot data of the current week updated in real time.

[0061] The working principle and beneficial effects of the above technical solution are: based on the pre-deployed sensors and pre-deployed identification equipment in the parking lot, the parking lot data is acquired and verified, and the verified parking lot data is integrated and processed to acquire the parking lot integrated data packet; the parking lot integrated data packet is processed for data privacy and encrypted for transmission to the data management platform, and the current parking lot data is updated in real time and visualized according to the data acquisition time; historical parking lot data is acquired to build a parking lot parking model, and the parking demand for the next parking cycle is predicted based on the current parking lot data updated in real time, and predicted parking lot data is generated; efficient and high-quality management of parking lot data is effectively realized.

[0062] Embodiment 2:

[0063] The embodiment of the present invention provides a parking lot data management method, which acquires and verifies parking lot data based on pre-deployed sensors and pre-deployed identification devices in the parking lot, including:

[0064] Pre-deploy sensors at the entrance and exit of the parking lot and the parking spaces. When a vehicle enters or exits the parking lot or parks in a parking space, parking lot data is generated once. The pre-deployed sensors include: infrared sensors and geomagnetic sensors;

[0065] Pre-deploy identification equipment at the entrance and exit of the parking lot and the parking spaces to automatically identify and read the vehicle license plate information data and generate secondary parking lot data, wherein the secondary parking lot data includes: parking entry time data, preset parking space data and vehicle information data;

[0066] When a vehicle is detected to be parked in a parking lot, the primary parking lot data is supplemented and verified based on the secondary parking lot data;

[0067] When the actual parking space data of the primary parking lot data of the monitored vehicle is inconsistent with the preset parking space data of the secondary parking lot data, the secondary parking lot data is updated and verified according to the primary parking lot data.

[0068] In this embodiment, the primary parking lot data refers to the parking lot data acquired by the pre-deployed sensors.

[0069] In this embodiment, the secondary parking lot data refers to the parking lot data acquired according to the pre-deployed identification device.

[0070] In this embodiment, the preset parking space data in the secondary parking lot data refers to the preset parking position data of the vehicle, for example, the user reserves the parking space a1.

[0071] In this embodiment, when a vehicle is detected to be parked in a parking lot, the primary parking lot data is supplemented and verified based on the secondary parking lot data, for example, the parking lot entry and exit time data is supplemented.

[0072] In this embodiment, when the actual parking space data of the primary parking lot data of the vehicle is monitored to be inconsistent with the preset parking space data of the secondary parking lot data, the secondary parking lot data is updated and verified based on the primary parking lot data. For example, if the user reserves parking space a1 and the actual parking space is a2, the parking space data a2 is updated.

[0073] The working principle and beneficial effects of the above technical solution are: by obtaining and verifying parking lot data through pre-deployed sensors and pre-deployed identification equipment, the accuracy of parking lot data is effectively ensured, laying a data foundation for subsequent data management.

[0074] Embodiment 3:

[0075] The embodiment of the present invention provides a parking lot data management method, which integrates and processes the parking lot data that has passed the verification to obtain a parking lot integrated data packet, including:

[0076] Carry out data integration and cleaning on the parking lot data that have passed the verification, and remove duplicate parking lot data or erroneous parking lot data;

[0077] The parking lot data that has been cleaned and processed by data integration is subjected to data integration and fusion processing, the parking lot data of the same vehicle is extracted and data fused, and the parking lot integrated data packet of the vehicle is obtained.

[0078] In this embodiment, the parking lot data that has passed the verification is subjected to data integration and cleaning processing, for example, the monitoring data of the same sensor is subjected to data integration and cleaning processing.

[0079] In this embodiment, the parking lot data of the same vehicle is extracted and data fusion is performed. Obtaining the parking lot integrated data packet of the vehicle means fusing all relevant data of the same vehicle, for example, fusing the vehicle information, parking space data, parking time data and parking lot entry and exit data of the vehicle into one data packet.

[0080] The working principle and beneficial effect of the above technical solution are: by integrating and processing the parking lot data that has passed the verification, the parking lot integrated data packet is obtained, which is conducive to improving the efficiency of subsequent data transmission and processing, and then realizing efficient management of the parking lot data.

[0081] Embodiment 4:

[0082] The embodiment of the present invention provides a parking lot data management method, which performs data privacy processing on a parking lot integrated data packet and encrypts and transmits it to a data management platform, including:

[0083] Perform local data privacy processing on parking lot integrated data packets;

[0084] Build a data management platform, preset data transmission nodes, and when data transmission is detected, plan the optimal transmission route between the parking lot node and the preset data transmission node;

[0085] According to the preset encryption transmission algorithm and the optimal transmission route, the parking lot integrated data packet after local data privacy processing is encrypted and transmitted to the data management platform.

[0086] In this embodiment, local data privacy processing is performed on the parking lot integrated data packet, for example, partial information masking is performed on the vehicle license plate information.

[0087] In this embodiment, the preset data transmission node refers to a node for transmitting and receiving data between the data management platform and the parking lot.

[0088] The working principle and beneficial effect of the above technical solution are: by performing data privacy processing on the parking lot integrated data packet and encrypting and transmitting it to the data management platform, the data security of the parking lot data is effectively ensured.

[0089] Embodiment 5:

[0090] The embodiment of the present invention provides a parking lot data management method, which updates and visualizes the current parking lot data in real time according to the data acquisition time, including:

[0091] Isolate and verify the encrypted transmission data, and store the encrypted transmission data after the verification passes;

[0092] Recording the verification passing time as the data acquisition time of the encrypted transmission data, and matching the encrypted transmission data with the current parking lot data stored in the data management platform according to the data type;

[0093] The data is updated in real time according to the data matching results and the updated current parking lot data is visualized.

[0094] In this embodiment, the encrypted transmission data is isolated and verified to ensure the security of the stored data of the data management platform.

[0095] In this embodiment, the encrypted transmission data is matched with the current parking lot data stored in the data management platform according to the data type, for example, the parking space data type.

[0096] In this embodiment, real-time updates are performed based on the data matching results and the updated current parking lot data is visualized. For example, the encrypted transmitted data displays parking space data a1, and the current parking lot data a2 stored on the data management platform is updated to the current parking lot data stored on the data management platform, and the parking space data a1 is visualized.

[0097] The working principle and beneficial effects of the above technical solution are: the current parking lot data is updated in real time and visualized according to the data acquisition time, which is conducive to users making parking choices based on the visualized display information, and effectively improves the utilization efficiency of parking lot data.

[0098] Embodiment 6:

[0099] The embodiment of the present invention provides a parking lot data management method, further comprising:

[0100] Divide the storage area of ​​the data management platform and preset the platform resource allocation ratio to determine the high allocation resource storage area, the medium allocation resource storage area and the low allocation resource storage area;

[0101] Comprehensively weight and quantify the current parking lot data according to the data acquisition time and the number of data accesses to determine the storage access quantization value of the current parking lot data;

[0102] Setting a storage access quantization range of a storage area, and determining a storage area for current parking lot data in combination with the storage access quantization value;

[0103] The current parking lot data stored in the high allocation resource storage area is cached according to a preset data cache strategy.

[0104] In this embodiment, the high-allocated resource storage area refers to a storage area to which the data management platform allocates more resources, which is used for efficient and high-quality data management and for storing recent parking lot data.

[0105] In this embodiment, the current parking lot data is comprehensively weighted and quantified according to the data acquisition time and the number of data accesses to determine the storage access quantization value of the current parking lot data, which is used to quantitatively determine the importance of the parking lot data.

[0106] In this embodiment, the current parking lot data stored in the high allocation resource storage area is cached according to a preset data cache strategy to improve data reading efficiency.

[0107] The working principle and beneficial effect of the above technical solution are: by dividing the storage area of ​​the data management platform, allocating resources and caching data, it is conducive to achieving efficient management of parking lot data.

[0108] Embodiment 7:

[0109] The embodiment of the present invention provides a parking lot data management method, which acquires historical parking lot data to build a parking lot model, predicts the parking demand of the next parking cycle according to the current parking lot data updated in real time, and generates predicted parking lot data, including:

[0110] Obtain historical parking lot data and determine parking lot data characteristics;

[0111] Determine the parking model type based on the data storage cycle and parking lot data characteristics, and build and train the parking model;

[0112] Obtain parking cycles and determine current parking demand for the current parking cycle based on current parking lot data updated in real time;

[0113] Performing data feature screening processing on the current parking lot data updated in real time according to the current parking demand to determine the current parking demand sub-data;

[0114] Inputting the current parking demand sub-data into the trained parking lot parking model, obtaining the data relevance of the current parking demand sub-data, and determining the data similarity between the current parking demand sub-data and the historical parking lot data;

[0115] ;in, Indicates the data similarity between the current parking demand sub-data and the historical parking lot data; Indicates The data autocorrelation of the current parking demand sub-data; Indicates Data autocorrelation of historical parking lot data; Indicates The current parking demand sub-data and Data correlation of historical parking lot data; Indicates the number of data in the parking cycle of the current parking demand sub-data; Indicates the number of data in the parking cycle of the historical parking data; Indicates the data quantity of the current parking demand sub-data; The number of data representing historical parking data;

[0116] When the data similarity between the current parking demand sub-data and the historical parking lot data is not less than a preset similarity, obtaining the previous parking lot data of the previous parking cycle to perform a secondary data similarity calculation;

[0117] When the similarity of the secondary data is not less than the preset similarity, the parking cycle interval between the parking cycle of the current parking demand sub-data and the parking cycle of the historical parking data is obtained to perform weighted processing on the data similarity confidence value;

[0118] When the weighted processing result of the data similarity confidence value determines that the data similarity is credible, the parking demand for the next parking cycle is predicted based on the current parking lot data updated in real time to generate predicted parking lot data.

[0119] In this embodiment, the parking lot parking model type is determined based on the data storage cycle and the parking lot data characteristics, and the parking lot parking model is constructed and trained. For example, the periodic change of the parking lot data is determined based on the data storage cycle and the parking lot data characteristics, and the parking lot parking model is constructed and trained using a time series model.

[0120] In this embodiment, a parking period is obtained, and a current parking demand of the current parking period is determined based on the current parking lot data updated in real time, wherein the parking period is determined based on the parking demand, and if there is no parking period setting in the parking demand, a default parking period is obtained.

[0121] In this embodiment, the current parking demand of the current parking cycle is determined according to the current parking lot data updated in real time. For example, the current parking demand of the current parking cycle is determined to be the required number of parking spaces a1.

[0122] In this embodiment, data feature screening is performed on the current parking lot data updated in real time according to the current parking demand to determine the current parking demand sub-data for independent analysis of the current parking lot data, thereby improving the efficiency of parking lot data management.

[0123] In this embodiment, the data correlation of the current parking demand sub-data is obtained, wherein the data correlation includes: the correlation between the data and the data itself and the correlation between the data and the data.

[0124] In this embodiment, the higher the data similarity between the current parking demand sub-data and the historical parking lot data, the higher the prediction accuracy of the subsequent predicted parking lot data.

[0125] In this embodiment, the previous parking lot data of the previous parking cycle is obtained to perform secondary data similarity calculation to verify the data similarity between the current parking demand sub-data and the historical parking lot data.

[0126] In this embodiment, the parking cycle interval between the parking cycle of the current parking demand sub-data and the parking cycle of the historical parking data is obtained and weighted processing is performed on the data similarity confidence value. That is, the longer the parking cycle interval between the period of the historical parking data and the parking cycle of the current parking demand sub-data is, the lower the credibility of the corresponding data similarity is.

[0127] In this embodiment, the parking demand for the next parking period is predicted based on the current parking lot data updated in real time, and the predicted parking lot data is generated, which is conducive to high-quality management of subsequent parking lot data.

[0128] The working principle and beneficial effects of the above technical solution are: obtaining historical parking lot data to build a parking lot model, predicting the parking demand for the next parking cycle based on the current parking lot data updated in real time, generating predicted parking lot data, and effectively realizing efficient and high-quality management of parking lot data.

[0129] Embodiment 8:

[0130] The embodiment of the present invention provides a parking lot data management method, further comprising:

[0131] Set up a user interaction interface to allow users to interact with the current parking lot data displayed visually;

[0132] Set up data intercommunication interface to allow other service platforms to communicate data with the data management platform.

[0133] The working principle and beneficial effects of the above technical solution are: by setting a user interaction interface, it is beneficial to the user's parking experience; setting a data intercommunication interface is beneficial to improving the utilization efficiency of parking lot data and realizing efficient management of parking lot data.

[0134] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A parking lot data management method, characterized in that: include: Step 1: Acquire and verify parking lot data based on pre-deployed sensors and pre-deployed identification devices in the parking lot, and integrate and process the verified parking lot data to obtain a parking lot integrated data packet; Step 2: Perform data privacy processing on the parking lot integrated data package and encrypt and transmit it to the data management platform, and update the current parking lot data in real time and visualize it according to the data acquisition time; Step 3: Obtain historical parking lot data to build a parking lot model, predict the parking demand for the next parking cycle based on the current parking lot data updated in real time, and generate predicted parking lot data, including: Obtain historical parking lot data and determine parking lot data characteristics; Determine the parking model type based on the data storage cycle and parking lot data characteristics, and build and train the parking model; Obtain parking cycles and determine current parking demand for the current parking cycle based on current parking lot data updated in real time; Performing data feature screening processing on the current parking lot data updated in real time according to the current parking demand to determine the current parking demand sub-data; Inputting the current parking demand sub-data into the trained parking lot parking model, obtaining the data relevance of the current parking demand sub-data, and determining the data similarity between the current parking demand sub-data and the historical parking lot data; ;in, Indicates the data similarity between the current parking demand sub-data and the historical parking lot data; Indicates The data autocorrelation of the current parking demand sub-data; Indicates Data autocorrelation of historical parking lot data; Indicates The current parking demand sub-data and Data correlation of historical parking lot data; Indicates the number of data in the parking cycle of the current parking demand sub-data; Indicates the number of data in the parking cycle of the historical parking data; Indicates the data quantity of the current parking demand sub-data; The number of data representing historical parking data; When the data similarity between the current parking demand sub-data and the historical parking lot data is not less than a preset similarity, obtaining the previous parking lot data of the previous parking cycle to perform a secondary data similarity calculation to verify the data similarity between the current parking demand sub-data and the historical parking lot data; When the similarity of the secondary data is not less than the preset similarity, the parking cycle interval between the parking cycle of the current parking demand sub-data and the parking cycle of the historical parking data is obtained to perform weighted processing on the data similarity confidence value; When the weighted processing result of the data similarity confidence value determines that the data similarity is credible, the parking demand for the next parking cycle is predicted based on the current parking lot data updated in real time to generate predicted parking lot data.

2. The parking lot data management method according to claim 1, characterized in that: Acquire and verify parking lot data based on pre-deployed sensors and pre-deployed identification devices in the parking lot, including: Pre-deploy sensors at the entrance and exit of the parking lot and the parking spaces. When a vehicle enters or exits the parking lot or parks in a parking space, parking lot data is generated once. The pre-deployed sensors include: infrared sensors and geomagnetic sensors; Pre-deploy identification equipment at the entrance and exit of the parking lot and the parking spaces to automatically identify and read the vehicle license plate information data and generate secondary parking lot data, wherein the secondary parking lot data includes: parking entry time data, preset parking space data and vehicle information data; When a vehicle is detected to be parked in a parking lot, the primary parking lot data is supplemented and verified based on the secondary parking lot data; When the actual parking space data of the primary parking lot data of the monitored vehicle is inconsistent with the preset parking space data of the secondary parking lot data, the secondary parking lot data is updated and verified according to the primary parking lot data.

3. The parking lot data management method according to claim 1, characterized in that: The parking lot data that has passed the verification is integrated and processed to obtain the parking lot integrated data package, including: Carry out data integration and cleaning on the parking lot data that have passed the verification, and remove duplicate parking lot data or erroneous parking lot data; The parking lot data that has been cleaned and processed by data integration is subjected to data integration and fusion processing, the parking lot data of the same vehicle is extracted and data fused, and the parking lot integrated data packet of the vehicle is obtained.

4. The parking lot data management method according to claim 1, characterized in that: Carry out data privacy processing on the parking lot integrated data package and encrypt and transmit it to the data management platform, including: Perform local data privacy processing on parking lot integrated data packets; Build a data management platform, preset data transmission nodes, and when data transmission is detected, plan the optimal transmission route between the parking lot node and the preset data transmission node; According to the preset encryption transmission algorithm and the optimal transmission route, the parking lot integrated data packet after local data privacy processing is encrypted and transmitted to the data management platform.

5. The parking lot data management method according to claim 1, characterized in that: The current parking lot data is updated in real time and visualized according to the data acquisition time, including: Isolate and verify the encrypted transmission data, and store the encrypted transmission data after the verification passes; Recording the verification passing time as the data acquisition time of the encrypted transmission data, and matching the encrypted transmission data with the current parking lot data stored in the data management platform according to the data type; The data is updated in real time according to the data matching results and the updated current parking lot data is visualized.

6. The parking lot data management method according to claim 5, characterized in that: Also includes: Divide the storage area of ​​the data management platform and preset the platform resource allocation ratio to determine the high allocation resource storage area, the medium allocation resource storage area and the low allocation resource storage area; Comprehensively weight and quantify the current parking lot data according to the data acquisition time and the number of data accesses to determine the storage access quantization value of the current parking lot data; Setting a storage access quantization range of a storage area, and determining a storage area for current parking lot data in combination with the storage access quantization value; The current parking lot data stored in the high allocation resource storage area is cached according to a preset data cache strategy.

7. The parking lot data management method according to claim 1, characterized in that: Also includes: Set up a user interaction interface to allow users to interact with the current parking lot data displayed visually; Set up data intercommunication interface to allow other service platforms to communicate data with the data management platform.

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