Smart parking lot management system and method based on big data

Abstract

The invention discloses a smart parking lot management system and method based on big data, and relates to the technical field of smart parking data management, and the method comprises the steps: determining vehicle entrance input data based on a smart parking lot dual-system recognition device; overlapped data are determined based on the vehicle entrance input data, and a temporary monitoring instruction is triggered in the departure process of any vehicle corresponding to the overlapped data; before the temporary monitoring instruction is removed, vehicles corresponding to other overlapped data leave the parking space, and a multi-data feedback mechanism is formed; a smart parking lot dual-system recognition device is adopted for vehicles without overlapping data to achieve vehicle departure, and meanwhile, vehicles with overlapping data corresponding to the vehicles leave the parking lot based on a multi-data feedback mechanism. According to the invention, when the vehicle enters and exits the parking lot, any privacy information data is not reserved, so that the data security of the vehicle owner is ensured.

Description

Technical Field

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

[0002] With the widespread adoption of smart cities and digital services, intelligent technologies are increasingly being applied in various areas. In recent years, smart parking lots have been gradually implemented in many cities. Leveraging the Internet of Things and big data technologies, smart parking lots can acquire and process parking information from drivers in real time, providing users with an efficient and convenient parking experience.

[0003] Therefore, how to solve the parking data privacy problem of smart parking lots in the digital age while ensuring the normal operation of smart parking lots is an urgent problem that needs to be solved. Summary of the Invention

[0004] The purpose of the present invention is to provide a smart parking lot management system and method based on big data to solve the problems raised in the prior art.

[0005] To achieve the above objectives, the present invention provides the following technical solution: a smart parking lot management method based on big data, the method comprising: Determine vehicle entrance input data based on the dual-system identification device of the smart parking lot; Determine overlapping data based on vehicle entry input data, and trigger a temporary monitoring instruction when any vehicle corresponding to the overlapping data leaves the site; Before the temporary monitoring instruction is released, there are other vehicles corresponding to overlapping data leaving the parking space, forming a multiple data feedback mechanism; For vehicles with no overlapping data, the smart parking lot dual-system identification device is used to enable vehicle exit. At the same time, the exit of vehicles with overlapping data is achieved based on the multiple data feedback mechanism.

[0006] According to the above technical solution, the smart parking lot dual-system recognition device includes: Numeric recognition device and letter recognition device; The digital recognition device and the letter recognition device each have a built-in chip, and the built-in chip is simultaneously connected to the scanning device of the smart parking lot; When a vehicle enters the parking lot, the scanning device of the smart parking lot scans the vehicle license plate number and feeds it back to the smart parking lot dual-system identification device. The digital identification device in the smart parking lot dual-system identification device prioritizes parsing the scanned data. The digital identification device only contains a digital parsing code. The digital parsing code refers to the parsing content of only ten Arabic numerals embedded in the background data of the digital identification device. After the scanned data is input, it forms a digital output in sequence, and the rest of the license plate is in a garbled state; If, after the digital recognition device generates a digital output, it is found that the digital output already exists in the parking lot real-time database, the alphabetical recognition device is switched to the real-time parking lot database, which refers to a database of records of vehicles that have entered but not yet left the parking lot; The letter recognition device only contains letter parsing codes. The letter parsing codes refer to the 26 English letter parsing content embedded in the background data of the letter recognition device. After the scan data is input, it forms letters in order and outputs them. The rest of the license plate is in a garbled state. If there is a letter output that also exists in the parking lot real-time database, the device is switched back to the digital recognition device and output in digital form, and simultaneously recorded as overlapping data.

[0007] According to the above technical solution, when the system receives the overlapping data mark, it determines the parking space number of the same data as the overlapping data based on the parking spaces in the parking lot, and generates the first overlapping data, the second overlapping data, ..., the i-th overlapping data in the order of the entry time, where i refers to the current number of overlapping data; After the overlapping data is triggered, the internal system of the smart parking lot determines whether the vehicle corresponding to the overlapping data has left the parking lot through the parking space monitoring identifier. The parking space monitoring identifier refers to the presence of an identification code and a ground sensor device on any parking space. Users can use the parking space monitoring identification code to make vehicle billing payments, and the ground sensor device can detect whether the vehicle has left the parking space. When any vehicle with overlapping data leaves the site, a temporary monitoring instruction is triggered.

[0008] According to the above technical solution, the temporary monitoring instruction refers to the internal system of the smart parking lot temporarily monitoring whether the vehicles corresponding to other overlapping data have left the parking space. If other vehicles have not moved, feedback is given to the parking lot exit. If the current overlapping data user has completed the billing, the exit will form a verification code with an attached time period for the current overlapping data. The current overlapping data user leaves the factory within the time period and uses the verification code fed back during billing to scan the parking lot exit system. The parking lot exit switches to the release state. If the current overlapping data user has not completed the billing, the exit determines the billing data based on the entry time sequence of the current overlapping data user, and forms a billing process at the exit until the current overlapping data user completes exiting the factory and the temporary monitoring instruction is lifted.

[0009] According to the above technical solution, if a vehicle corresponding to other overlapping data leaves the parking space before the temporary monitoring instruction is released, a multiple data feedback mechanism is formed; The multiple data feedback mechanisms include a first data feedback mechanism: Based on the parking space monitoring mark, a color acquisition device is determined around the parking space. The license plate color data and vehicle body color data of the vehicle corresponding to the overlapping data are identified based on the color acquisition device. If the license plate color data and vehicle body color data of the vehicle corresponding to other overlapping data are not completely the same, additional data is generated and fed back to the parking lot exit. The additional data includes the license plate color data and vehicle body color data of the vehicle. If the license plate color data and vehicle body color data of the vehicle corresponding to other overlapping data are exactly the same, the second data feedback mechanism is switched.

[0010] According to the above technical solution, the second data feedback mechanism includes: Determine the shortest vehicle exit time corresponding to other overlapping data, including: Obtain the parking space position A of any vehicle corresponding to any other overlapping data, and call several sets of historical time data from parking space position A to the parking lot exit based on big data to form an initial data set; The data in the initial data group are processed, and the gray accumulation is performed using the data in the initial data to form an initial transformed data group, and the final data group is formed based on the initial transformed data group using the nearest mean method, and the predicted output data based on the initial data group is confirmed based on the initial data group, the initial transformed data group and the final data group: ; in, Represents the predicted output data; represents the natural logarithm; 、 Refers to the development coefficient and grey action in the whitened differential equation formed by the initial transformed data set; Refers to the first data in the initial data group; Refers to the number of data in the initial data set; System setting time compensation constant , then the parking space position of any other overlapping data corresponding to the vehicle The predicted time to arrive at the parking lot exit is ; Determine the time data corresponding to the predicted time of the vehicles corresponding to other overlapping data, take the minimum value and output it. If the vehicle corresponding to the overlapping data exits before the time corresponding to the minimum value, it is determined that the current overlapping data user has completed exiting, and the temporary monitoring instruction is lifted; Otherwise, switch to the third data feedback mechanism.

[0011] According to the above technical solution, the third data feedback mechanism includes: The weight sensor embedded in the ground sensor coil is called to obtain the weight data of all vehicles leaving the parking space corresponding to the moving overlapping data. At the same time, the weight detection device at the parking lot exit is turned on. The exit obtains the corresponding parking space number based on the weight to determine the billing data and forms a billing process at the exit. During the detection process, the weight detection device at the parking lot exit automatically forms a weight verification interval according to the weight variation range preset by the system; For any vehicle corresponding to overlapping data, the predicted time of its arrival at the parking lot exit is formed according to its weight when it leaves the parking space, and the shortest time is formed accordingly. If a vehicle corresponding to a certain weight value is found at the parking lot exit to arrive earlier than its shortest time, the administrator will be called for processing.

[0012] According to the above technical solution, the method of using a smart parking lot dual-system identification device to realize vehicle exit for vehicles without overlapping data includes: At the exit of the smart parking lot, the digital data in the digital recognition device is identified first. If it exists, the billing process is directly carried out and the vehicle exits. If it does not exist, the letter data in the letter recognition device is identified again. If it exists, the billing process is directly carried out and the vehicle exits.

[0013] A smart parking lot management system based on big data, the system includes: The digital recognition module is embedded in the dual-system recognition device of the smart parking lot. The built-in chip is also connected to the scanning device of the smart parking lot. The digital recognition module only contains a digital parsing code for realizing the digital recognition of the license plate. The digital parsing code refers to the parsing content of only ten Arabic numerals embedded in the background data of the digital recognition device. After the scan data is input, it forms a digital output in sequence. The rest of the license plate is in a garbled state. The letter recognition module is embedded in the dual-system recognition device of the smart parking lot. The built-in chip is also connected to the scanning device of the smart parking lot. If the digital output of the digital recognition module is found to exist in the real-time database of the parking lot after the digital recognition module forms a digital output, it will switch to the letter recognition device. The real-time database of the parking lot refers to the record database of vehicles that have entered but not yet left the parking lot. The letter recognition module only contains letter parsing codes. The letter parsing code refers to the 26 English letter parsing content embedded in the background data of the letter recognition device. After the scanning data is input, it forms letter output in sequence, and the rest of the license plate is in a garbled state. If the letter output also exists in the parking lot real-time database, the module switches back to the digital recognition module and outputs it as a number, and records it as overlapping data at the same time; Temporary monitoring module, triggering temporary monitoring instructions when any vehicle with overlapping data leaves the site; Multiple feedback module: before the temporary monitoring instruction is released, there are other vehicles corresponding to overlapping data leaving the parking space, forming a multiple data feedback mechanism; The billing exit module uses the smart parking lot dual-system identification device to realize vehicle exit for vehicles with no overlapping data. At the same time, it realizes the exit of vehicles corresponding to overlapping data based on the multiple data feedback mechanism.

[0014] Compared with the existing technology, the beneficial effect of the present invention is that: the present invention can achieve the goal of not retaining any private information data when vehicles enter and exit the parking lot, does not adopt decoding encryption forms, and does not adopt various encryption software. Instead, by not collecting user license plate information from the source, vehicles entering and exiting the parking lot do not retain any information data records, thereby avoiding all data security attacks. In the process of popularizing innovative technologies such as smart parking, the risk of personal data leakage is solved, the bottom line of privacy is maintained, and no private information data is exposed while living a smart life, ensuring the data security of car owners. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 A schematic diagram of the steps of a smart parking lot management method based on big data; Figure 2 This is a structural diagram of a smart parking management system based on big data. DETAILED DESCRIPTION

[0016] Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making any creative work shall fall within the scope of protection of the present invention.

[0017] Example: Figure 1-Figure 2 As shown, the present invention provides a smart parking lot management method based on big data, the method comprising: Determine vehicle entrance input data based on the dual-system identification device of the smart parking lot; The smart parking lot dual-system identification device includes: Numeric recognition device and letter recognition device; The digital recognition device and the letter recognition device each have a built-in chip, and the built-in chip is simultaneously connected to the scanning device of the smart parking lot; When a vehicle enters the parking lot, the scanning device of the smart parking lot scans the vehicle license plate number and feeds it back to the smart parking lot dual-system identification device. The digital identification device in the smart parking lot dual-system identification device prioritizes parsing the scanned data. The digital identification device only contains a digital parsing code. The digital parsing code refers to the parsing content of only ten Arabic numerals embedded in the background data of the digital identification device. After the scanned data is input, it forms a digital output in sequence, and the rest of the license plate is in a garbled state; If, after the digital recognition device generates a digital output, it is found that the digital output already exists in the parking lot real-time database, the alphabetical recognition device is switched to the real-time parking lot database, which refers to a database of records of vehicles that have entered but not yet left the parking lot; The letter recognition device only contains letter parsing codes. The letter parsing codes refer to the 26 English letter parsing content embedded in the background data of the letter recognition device. After the scan data is input, it forms letters in order and outputs them. The rest of the license plate is in a garbled state. If there is a letter output that also exists in the parking lot real-time database, the device is switched back to the digital recognition device and output in digital form, and simultaneously recorded as overlapping data.

[0018] When the system receives the overlapping data mark, it determines the parking space number of the same data as the overlapping data based on the parking spaces in the parking lot, and generates the first overlapping data, the second overlapping data, ..., the i-th overlapping data in the order of the entry time, where i refers to the current number of overlapping data; After the overlapping data is triggered, the internal system of the smart parking lot determines whether the vehicle corresponding to the overlapping data has left the parking lot through the parking space monitoring identifier. The parking space monitoring identifier refers to the presence of an identification code and a ground sensor device on any parking space. Users can use the parking space monitoring identification code to make vehicle billing payments, and the ground sensor device can detect whether the vehicle has left the parking space. When any vehicle with overlapping data leaves the site, a temporary monitoring instruction is triggered.

[0019] The temporary monitoring instruction refers to the internal system of the smart parking lot temporarily monitoring whether the vehicles corresponding to other overlapping data have left the parking space. If other vehicles have not moved, the feedback is fed back to the parking lot exit. If the current overlapping data user has completed the billing, the exit will generate a verification code with an attached time period for the current overlapping data. The current overlapping data user leaves the factory within the time period and uses the verification code fed back during billing to scan the parking lot exit system. The parking lot exit switches to the release state. If the current overlapping data user has not completed the billing, the exit determines the billing data based on the entry time sequence of the current overlapping data user, and forms a billing process at the exit until the current overlapping data user completes exiting the factory and the temporary monitoring instruction is lifted.

[0020] In this application, for users who are billed in advance, if there is overlapping data, a verification code will be fed back to the payment page after the billing is completed. The verification code has a time limit. Within a specific time limit, overlapping data can be entered and exited through the verification code first. The following multiple data feedback mechanism is mainly for the analysis of users who are not billed in advance. The verification code formed by advance billing has the highest priority.

[0021] If a vehicle with overlapping data leaves the parking space before the temporary monitoring instruction is released, a multiple data feedback mechanism will be formed; The multiple data feedback mechanisms include a first data feedback mechanism: Based on the parking space monitoring mark, a color acquisition device is determined around the parking space. The license plate color data and vehicle body color data of the vehicle corresponding to the overlapping data are identified based on the color acquisition device. If the license plate color data and vehicle body color data of the vehicle corresponding to other overlapping data are not completely the same, additional data is generated and fed back to the parking lot exit. The additional data includes the license plate color data and vehicle body color data of the vehicle. If the license plate color data and vehicle body color data of the vehicle corresponding to other overlapping data are exactly the same, the second data feedback mechanism is switched.

[0022] The second data feedback mechanism includes: Determine the shortest vehicle exit time corresponding to other overlapping data, including: Obtain the parking space position A of any vehicle corresponding to any other overlapping data, and call several sets of historical time data from parking space position A to the parking lot exit based on big data to form an initial data set; The data in the initial data group are processed, and the gray accumulation is performed using the data in the initial data to form an initial transformed data group, and the final data group is formed based on the initial transformed data group using the nearest mean method, and the predicted output data based on the initial data group is confirmed based on the initial data group, the initial transformed data group and the final data group: ; in, Represents the predicted output data; represents the natural logarithm; 、 Refers to the development coefficient and grey action in the whitened differential equation formed by the initial transformed data set; Refers to the first data in the initial data group; Refers to the number of data in the initial data set; System setting time compensation constant , then the parking space position of any other overlapping data corresponding to the vehicle The predicted time to arrive at the parking lot exit is ; Determine the time data corresponding to the predicted time of the vehicles corresponding to other overlapping data, take the minimum value and output it. If the vehicle corresponding to the overlapping data exits before the time corresponding to the minimum value, it is determined that the current overlapping data user has completed exiting, and the temporary monitoring instruction is lifted; Otherwise, switch to the third data feedback mechanism.

[0023] The third data feedback mechanism includes: The weight sensor embedded in the ground sensor coil is called to obtain the weight data of all vehicles leaving the parking space corresponding to the moving overlapping data. At the same time, the weight detection device at the parking lot exit is turned on. The exit obtains the corresponding parking space number based on the weight to determine the billing data and forms a billing process at the exit. During the detection process, the weight detection device at the parking lot exit automatically forms a weight verification interval according to the weight variation range preset by the system; For any vehicle corresponding to overlapping data, the predicted time of its arrival at the parking lot exit is formed according to its weight when it leaves the parking space, and the shortest time is formed accordingly. If a vehicle corresponding to a certain weight value is found at the parking lot exit to arrive earlier than its shortest time, the administrator will be called for processing.

[0024] In this application, subtle changes in weight are still taken into consideration, so corresponding weight verification intervals are set for processing. For example, the data concept of adding or subtracting about 500g is used to handle subtle changes. The specific setting is based on the sensitivity of the weight detection device. At the same time, considering the situation that the vehicle picks up and drops off people and objects in the parking lot, resulting in changes in weight, but it happens to fall into the weight verification interval of another overlapping data vehicle that is about to leave, therefore, the shortest time is further set to avoid such incidents.

[0025] The method of using a smart parking lot dual-system identification device to realize vehicle exit for vehicles without overlapping data includes: At the exit of the smart parking lot, the digital data in the digital recognition device is identified first. If it exists, the billing process is directly carried out and the vehicle exits. If it does not exist, the letter data in the letter recognition device is identified again. If it exists, the billing process is directly carried out and the vehicle exits.

[0026] In this application, a smart parking lot management system based on big data is also provided, which includes: The digital recognition module 101 is embedded in the dual-system recognition device of the smart parking lot. The built-in chip is also connected to the scanning device of the smart parking lot. The digital recognition module only contains the digital parsing code, which is used to realize the digital recognition of the license plate. The digital parsing code refers to the parsing content of only ten Arabic numerals embedded in the background data of the digital recognition device. After the scan data is input, it forms a digital output in sequence. The rest of the license plate is in a garbled state. The letter recognition module 102 is embedded in the dual-system recognition device of the smart parking lot. The built-in chip is also connected to the scanning device of the smart parking lot. If the digital output of the digital recognition module is found to exist in the real-time database of the parking lot after the digital recognition module generates a digital output, it switches to the letter recognition device. The real-time database of the parking lot refers to the database of records of vehicles that have entered but not yet left the parking lot. The letter recognition module only contains the letter parsing code. The letter parsing code refers to the 26 English letter parsing content embedded in the background data of the letter recognition device. After the scan data is input, it generates the letter output in sequence, and the rest of the license plate is in a garbled state. If the letter output also exists in the parking lot real-time database, the module switches back to the digital recognition module and outputs it as a number, and records it as overlapping data at the same time; The temporary monitoring module 103 triggers a temporary monitoring instruction when any vehicle corresponding to overlapping data leaves the site; Multiple feedback module 104, before the temporary monitoring instruction is released, there are other vehicles corresponding to overlapping data leaving the parking space, forming a multiple data feedback mechanism; The billing exit module 105 uses the smart parking lot dual-system identification device to realize vehicle exit for vehicles with no overlapping data. At the same time, it realizes the exit of vehicles corresponding to overlapping data based on the multiple data feedback mechanism.

[0027] Finally, it should be noted that the above descriptions are merely preferred embodiments of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art will be able to modify the technical solutions described in the aforementioned embodiments or substitute equivalents for some of the technical features. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention shall be included within the scope of protection of the present invention.

Claims

1. A smart parking lot management method based on big data, characterized by: The method includes: Determine vehicle entrance input data based on the dual-system identification device of the smart parking lot; Determine overlapping data based on vehicle entry input data, and trigger a temporary monitoring instruction when any vehicle corresponding to the overlapping data leaves the site; Before the temporary monitoring instruction is released, there are other vehicles corresponding to overlapping data leaving the parking space, forming a multiple data feedback mechanism; For vehicles with no overlapping data, the smart parking lot dual-system identification device is used to enable vehicle exit. At the same time, the exit of vehicles with overlapping data is achieved based on the multiple data feedback mechanism.

2. The big data-based smart parking lot management method according to claim 1, characterized in that: The smart parking lot dual-system identification device includes: Numeric recognition device and letter recognition device; The digital recognition device and the letter recognition device each have a built-in chip, and the built-in chip is simultaneously connected to the scanning device of the smart parking lot; When a vehicle enters the parking lot, the scanning device of the smart parking lot scans the vehicle license plate number and feeds it back to the smart parking lot dual-system identification device. The digital identification device in the smart parking lot dual-system identification device prioritizes parsing the scanned data. The digital identification device only contains a digital parsing code. The digital parsing code refers to the parsing content of only ten Arabic numerals embedded in the background data of the digital identification device. After the scanned data is input, it forms a digital output in sequence, and the rest of the license plate is in a garbled state; If, after the digital recognition device generates a digital output, it is found that the digital output already exists in the parking lot real-time database, the alphabetical recognition device is switched to the real-time parking lot database, which refers to a database of records of vehicles that have entered but not yet left the parking lot; The letter recognition device only contains letter parsing codes. The letter parsing codes refer to the 26 English letter parsing content embedded in the background data of the letter recognition device. After the scan data is input, it forms letters in order and outputs them. The rest of the license plate is in a garbled state. If there is a letter output that also exists in the parking lot real-time database, the device is switched back to the digital recognition device and output in digital form, and simultaneously recorded as overlapping data.

3. The big data-based smart parking lot management method according to claim 2, characterized in that: When the system receives the overlapping data mark, it determines the parking space number of the same data as the overlapping data based on the parking spaces in the parking lot, and generates the first overlapping data, the second overlapping data, ..., the i-th overlapping data in the order of the entry time, where i refers to the current number of overlapping data; After the overlapping data is triggered, the internal system of the smart parking lot determines whether the vehicle corresponding to the overlapping data has left the parking lot through the parking space monitoring identifier. The parking space monitoring identifier refers to the presence of an identification code and a ground sensor device on any parking space. Users can use the parking space monitoring identification code to make vehicle billing payments, and the ground sensor device can detect whether the vehicle has left the parking space. When any vehicle with overlapping data leaves the site, a temporary monitoring instruction is triggered.

4. The big data-based smart parking lot management method according to claim 3 is characterized by: The temporary monitoring instruction refers to the internal system of the smart parking lot temporarily monitoring whether the vehicles corresponding to other overlapping data have left the parking space. If other vehicles have not moved, the feedback is fed back to the parking lot exit. If the current overlapping data user has completed the billing, the exit will generate a verification code with an attached time period for the current overlapping data. The current overlapping data user leaves the factory within the time period and uses the verification code fed back during billing to scan the parking lot exit system. The parking lot exit switches to the release state. If the current overlapping data user has not completed the billing, the exit determines the billing data based on the entry time sequence of the current overlapping data user, and forms a billing process at the exit until the current overlapping data user completes exiting the factory and the temporary monitoring instruction is lifted.

5. The big data-based smart parking lot management method according to claim 4 is characterized by: If a vehicle with overlapping data leaves the parking space before the temporary monitoring instruction is released, a multiple data feedback mechanism will be formed; The multiple data feedback mechanisms include a first data feedback mechanism: Based on the parking space monitoring mark, a color acquisition device is determined around the parking space. The license plate color data and vehicle body color data of the vehicle corresponding to the overlapping data are identified based on the color acquisition device. If the license plate color data and vehicle body color data of the vehicle corresponding to other overlapping data are not completely the same, additional data is generated and fed back to the parking lot exit. The additional data includes the license plate color data and vehicle body color data of the vehicle. If the license plate color data and vehicle body color data of the vehicle corresponding to other overlapping data are exactly the same, the second data feedback mechanism is switched.

6. The big data-based smart parking lot management method according to claim 5, characterized in that: The second data feedback mechanism includes: Determine the shortest vehicle exit time corresponding to other overlapping data, including: Obtain the parking space position A of any vehicle corresponding to any other overlapping data, and call several sets of historical time data from parking space position A to the parking lot exit based on big data to form an initial data set; The data in the initial data group are processed, and the gray accumulation is performed using the data in the initial data to form an initial transformed data group, and the final data group is formed based on the initial transformed data group using the nearest mean method, and the predicted output data based on the initial data group is confirmed based on the initial data group, the initial transformed data group and the final data group: ； in, Represents the predicted output data; represents the natural logarithm; 、 Refers to the development coefficient and grey action in the whitened differential equation formed by the initial transformed data set; Refers to the first data in the initial data group; Refers to the number of data in the initial data set; System setting time compensation constant , then the parking space position of any other overlapping data corresponding to the vehicle The predicted time to arrive at the parking lot exit is ; Determine the time data corresponding to the predicted time of the vehicles corresponding to other overlapping data, take the minimum value and output it. If the vehicle corresponding to the overlapping data exits before the time corresponding to the minimum value, it is determined that the current overlapping data user has completed exiting, and the temporary monitoring instruction is lifted; Otherwise, switch to the third data feedback mechanism.

7. The big data-based smart parking lot management method according to claim 6, characterized in that: The third data feedback mechanism includes: The weight sensor embedded in the ground sensor coil is called to obtain the weight data of all vehicles leaving the parking space corresponding to the moving overlapping data. At the same time, the weight detection device at the parking lot exit is turned on. The exit obtains the corresponding parking space number based on the weight to determine the billing data and forms a billing process at the exit. During the detection process, the weight detection device at the parking lot exit automatically forms a weight verification interval according to the weight variation range preset by the system; For any vehicle corresponding to overlapping data, the predicted time of its arrival at the parking lot exit is formed according to its weight when it leaves the parking space, and the shortest time is formed accordingly. If a vehicle corresponding to a certain weight value is found at the parking lot exit to arrive earlier than its shortest time, the administrator will be called for processing.

8. The big data-based smart parking lot management method according to claim 2, characterized in that: The method of using a smart parking lot dual-system identification device to realize vehicle exit for vehicles without overlapping data includes: At the exit of the smart parking lot, the digital data in the digital recognition device is identified first. If it exists, the billing process is directly carried out and the vehicle exits. If it does not exist, the letter data in the letter recognition device is identified again. If it exists, the billing process is directly carried out and the vehicle exits.

9. A smart parking lot management system based on big data, used to implement the smart parking lot management method based on big data as claimed in claim 1, characterized in that: The system includes: The digital recognition module is embedded in the dual-system recognition device of the smart parking lot. The built-in chip is also connected to the scanning device of the smart parking lot. The digital recognition module only contains a digital parsing code for realizing the digital recognition of the license plate. The digital parsing code refers to the parsing content of only ten Arabic numerals embedded in the background data of the digital recognition device. After the scan data is input, it forms a digital output in sequence. The rest of the license plate is in a garbled state. The letter recognition module is embedded in the dual-system recognition device of the smart parking lot. The built-in chip is also connected to the scanning device of the smart parking lot. If the digital output of the digital recognition module is found to exist in the real-time database of the parking lot after the digital recognition module forms a digital output, it will switch to the letter recognition device. The real-time database of the parking lot refers to the record database of vehicles that have entered but not yet left the parking lot. The letter recognition module only contains letter parsing codes. The letter parsing code refers to the 26 English letter parsing content embedded in the background data of the letter recognition device. After the scanning data is input, it forms letter output in sequence, and the rest of the license plate is in a garbled state. If the letter output also exists in the parking lot real-time database, the module switches back to the digital recognition module and outputs it as a number, and records it as overlapping data at the same time; Temporary monitoring module, triggering temporary monitoring instructions when any vehicle with overlapping data leaves the site; Multiple feedback module: before the temporary monitoring instruction is released, there are other vehicles corresponding to overlapping data leaving the parking space, forming a multiple data feedback mechanism; The billing exit module uses the smart parking lot dual-system identification device to realize vehicle exit for vehicles with no overlapping data. At the same time, it realizes the exit of vehicles corresponding to overlapping data based on the multiple data feedback mechanism.

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