A big data-based intelligent parking lot management system and method

Abstract

The application discloses a kind of big data-based wisdom parking lot management system and method, it is related to wisdom parking data management technical field, the present application includes: based on the determination vehicle entrance input data of wisdom parking lot double system identification device;Based on vehicle entrance input data determines overlapping data, in the vehicle off process of any one existing overlapping data corresponding, trigger temporary monitoring instruction;Before temporary monitoring instruction is released, there is other overlapping data corresponding vehicle leaves parking stall, forms multiple data feedback mechanism;To the vehicle that does not exist overlapping data, using wisdom parking lot double system identification device realizes vehicle exit, simultaneously, based on multiple data feedback mechanism realizes the vehicle that exists overlapping data corresponding exit.The present application can be realized in the process that vehicle enters and exits parking lot, does not store any privacy information data, to ensure that car owner data security.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of intelligent parking data management, and particularly relates to an intelligent parking lot management system and method based on big data. BACKGROUND

[0002] With the popularity of smart cities and digital services, intelligent technology is gradually applied in various places. In recent years, intelligent parking lots have been gradually implemented in many cities. Relying on Internet of Things and big data technology, intelligent parking lots can obtain and process parking information of vehicle owners in real time, thereby providing efficient and convenient parking experience for users.

[0003] Therefore, how to solve the parking data privacy problem of intelligent parking lots in the digital era while ensuring the normal operation of intelligent parking lots is a problem to be solved at present. SUMMARY

[0004] The present application aims to provide an intelligent parking lot management system and method based on big data to solve the problems in the prior art.

[0005] To achieve the above-mentioned purpose, the present application provides the following technical scheme: an intelligent parking lot management method based on big data, the method comprising:

[0006] determining vehicle entry input data based on an intelligent parking lot double-system identification device;

[0007] determining overlapping data based on the vehicle entry input data, triggering a temporary monitoring instruction in the process of any vehicle corresponding to the overlapping data leaving;

[0008] before the temporary monitoring instruction is removed, a vehicle corresponding to other overlapping data leaves the parking space, forming a multiple data feedback mechanism;

[0009] for a vehicle without overlapping data, the intelligent parking lot double-system identification device is used to realize vehicle exit, and based on the multiple data feedback mechanism, the vehicle corresponding to the overlapping data is realized to exit.

[0010] According to the above technical scheme, the intelligent parking lot double-system identification device comprises:

[0011] a digital identification device and a letter identification device;

[0012] The digital identification device and the letter identification device each have an internal chip, and the internal chip is connected to a scanning device of the intelligent parking lot at the same time.

[0013] When the vehicle enters, the scanning device of the smart parking lot scans the vehicle license plate number, and feeds back to the smart parking lot double system identification device. The digital identification device in the smart parking lot double system identification device preferentially analyzes the scanning data. The digital identification device only contains a digital analysis code. The digital analysis code means that only ten Arabic digital analysis contents are implanted in the background data of the digital identification device. After the scanning data is transmitted, it forms a digital output in order. The rest of the license plate is in a random code state.

[0014] If the digital output is found in the real-time database of the parking lot after the digital identification device forms the digital output, switch to the letter identification device. The real-time database of the parking lot refers to the record database of the vehicle after entering the parking lot but not yet leaving the parking lot.

[0015] The letter identification device only contains a letter analysis code. The letter analysis code means that only 26 English letter analysis contents are implanted in the background data of the letter identification device. After the scanning data is transmitted, it forms a letter output in order. The rest of the license plate is in a random code state.

[0016] If the letter output also exists in the real-time database of the parking lot, switch back to the digital identification device and output the digital output, and record it as overlapping data at the same time.

[0017] According to the above technical solution, when the system receives the overlapping data mark, the parking lot inside the parking lot determines the parking space number of the same data as the overlapping data based on the parking space, and forms the first overlapping data, the second overlapping data, …, the i-th overlapping data in order according to the time sequence of entering the parking lot, wherein i refers to the current number of overlapping data.

[0018] After the overlapping data triggers, the internal system of the smart parking lot determines the vehicle corresponding to the overlapping data through the parking space monitoring mark. The parking space monitoring mark refers to the existence of an identification code and a ground sensing device on any parking space. Users can pay for vehicle charges through the parking space monitoring mark code. The ground sensing device can detect whether the vehicle has left the parking space.

[0019] During the process of any vehicle corresponding to the overlapping data leaving, a temporary monitoring instruction is triggered.

[0020] According to the technical scheme, the temporary monitoring instruction instructs the internal system of the intelligent parking lot to temporarily monitor whether the vehicle corresponding to other overlapping data has left the parking space, if no other vehicle moves, feedback is given at the parking lot exit, if the current overlapping data user has completed billing, the exit forms a verification code for the current overlapping data for a time period, the current overlapping data user leaves the parking lot within the time period, the verification code fed back during billing is used to scan the parking lot exit system, the parking lot exit switches to a release state, if the current overlapping data user has not completed billing, billing data is determined based on the entry time sequence of the current overlapping data user, and a billing process is formed at the exit until the current overlapping data user leaves the parking lot, and the temporary monitoring instruction is released.

[0021] According to the technical scheme, 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.

[0022] The multiple data feedback mechanism includes a first multiple data feedback mechanism.

[0023] The color collection device around the parking space is determined based on the parking space monitoring identifier, the license plate color data and the body color data of the vehicle corresponding to the overlapping data are identified based on the color collection device, if the license plate color data and the body color data of the vehicle corresponding to other overlapping data are not completely the same, additional data is formed and fed back to the parking lot exit, the additional data includes the license plate color data and the body color data of the vehicle.

[0024] If the license plate color data and the body color data of the vehicle corresponding to other overlapping data are completely the same, a second multiple data feedback mechanism is switched to.

[0025] According to the technical scheme, the second multiple data feedback mechanism includes:

[0026] The shortest exit time of the vehicle corresponding to other overlapping data is determined, specifically including:

[0027] The parking space position A of any vehicle corresponding to other overlapping data is obtained, a plurality of groups of historical time data from the parking space position A to the parking lot exit are called based on big data, and an initial data group is formed;

[0028] The data in the initial data group is processed, the data in the initial data is used for gray accumulation 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 value, and the prediction 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:

[0029] ;

[0030] Among them, represents the prediction output data. Represents the natural logarithm; , The development coefficient and gray action amount in the whitening differential equation formed by the initial transformed data set; Refers to the first data in the initial data set; This refers to the number of data points in the initial data set;

[0031] System setting time compensation constant Then the parking space location of the vehicle corresponding to any other overlapping data. The estimated time to reach the parking lot exit is ;

[0032] Determine the time data corresponding to the predicted time of the vehicle corresponding to other overlapping data, take the minimum value and output it. If there is a vehicle corresponding to the overlapping data leaving before the time corresponding to the minimum value, it is determined that the current overlapping data user has completed leaving and the temporary monitoring instruction is lifted.

[0033] Otherwise, switch to the third data feedback mechanism.

[0034] According to the above technical solution, the third data feedback mechanism includes:

[0035] The weight sensor embedded in the ground loop is invoked to obtain the weight data of the vehicle when it leaves the parking space, corresponding to all the overlapping moving data. At the same time, the weight detection device at the parking lot exit is activated. 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.

[0036] During the detection process, the weight detection device at the parking lot exit automatically forms a weight verification range based on the weight change range preset by the system.

[0037] For any vehicle corresponding to overlapping data, the predicted time of its arrival at the parking lot exit is generated based on its weight when leaving the parking space, and the corresponding shortest time is generated. If a vehicle corresponding to a certain weight value is found to arrive at the parking lot exit earlier than its shortest time, the administrator is called for processing.

[0038] According to the above technical solution, the method of using a smart parking lot dual-system identification device to enable vehicle exit for vehicles with non-overlapping data includes:

[0039] 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 completed directly 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 completed directly and the vehicle exits.

[0040] A smart parking management system based on big data, the system includes:

[0041] The digital recognition module is embedded in the intelligent parking lot double system recognition device, and a chip is built-in and connected with the scanning device of the intelligent parking lot; the digital recognition module only contains a digital analysis code, which is used for realizing the digital recognition of the license plate, and the digital analysis code means that only ten Arabic digital analysis contents are implanted in the background data of the digital recognition device, and after the scanning data is transmitted, the digital output is formed in sequence, and the remaining part of the license plate is in a random code state.

[0042] The letter recognition module is embedded in the intelligent parking lot double system recognition device, and a chip is built-in and connected with the scanning device of the intelligent parking lot; if the digital output formed by the digital recognition module exists in the real-time database of the parking lot after the digital output is formed, the letter recognition device is switched, and the real-time database of the parking lot means the record database of the vehicle after entering the parking lot but before leaving the parking lot; the letter recognition module only contains a letter analysis code, which means that only 26 English letter analysis contents are implanted in the background data of the letter recognition device, and after the scanning data is transmitted, the letter output is formed in sequence, and the remaining part of the license plate is in a random code state.

[0043] If the letter output also exists in the real-time database of the parking lot, the digital recognition module is switched back, and the digital output is recorded as overlapping data at the same time.

[0044] The temporary monitoring module triggers a temporary monitoring instruction during the process that any vehicle corresponding to the overlapping data leaves the parking lot.

[0045] The multiple feedback module exists when other vehicles corresponding to the overlapping data leave the parking lot before the temporary monitoring instruction is removed, forming a multiple data feedback mechanism.

[0046] The billing exit module uses the intelligent parking lot double system recognition device to realize the exit of the vehicle without overlapping data, and simultaneously realizes the exit of the vehicle with overlapping data based on the multiple data feedback mechanism.

[0047] Compared with the prior art, the beneficial effects of the present application are: the present application can realize the process of entering and leaving the parking lot without storing any private information data, without using decoding encryption form or various encryption software, but by not collecting user license plate information from the source, so that the vehicle entering and leaving the parking lot does not store any information data record, thereby avoiding all data security attacks, solving the risk problem of personal data leakage in the popularization process of intelligent parking and other innovative technologies, and protecting the bottom line of privacy, ensuring the safety of the vehicle owner data while living in an intelligent way without exposing any private information data. BRIEF DESCRIPTION OF DRAWINGS

[0048] Fig. 1 It is a step schematic diagram of a big data-based intelligent parking lot management method;

[0049] Fig. 2 A structural schematic diagram of a smart parking lot management system based on big data. DETAILED DESCRIPTION

[0050] All other embodiments obtained by a person of ordinary skill in the art without making creative efforts based on the embodiments in the present application fall within the scope of protection of the present application.

[0051] Embodiment: As shown in the figure, the present application is a smart parking lot management method based on big data, which comprises: Figs. 1-2

[0052] Determining vehicle entry input data based on a smart parking lot double-system identification device;

[0053] The smart parking lot double-system identification device comprises:

[0054] A digital identification device and a letter identification device;

[0055] The digital identification device and the letter identification device each have an internal chip, and the internal chip is connected to a scanning device of the smart parking lot at the same time;

[0056] When a vehicle enters, the scanning device of the smart parking lot scans the vehicle license plate number and feeds back to the smart parking lot double-system identification device, and the digital identification device in the smart parking lot double-system identification device preferentially analyzes the scanning data, wherein the digital identification device only contains a digital analysis code, the digital analysis code means that only ten Arabic numeral analysis contents are implanted in the background data of the digital identification device, after the scanning data is transmitted, it forms a digital output in order, and the remaining part of the license plate is in a random code state;

[0057] If the digital output formed by the digital identification device exists in the real-time database of the parking lot after the digital output is formed, switch to the letter identification device, and the real-time database of the parking lot refers to the record database of the vehicle after entering the parking lot but not yet leaving the parking lot;

[0058] The letter identification device only contains a letter analysis code, and the letter analysis code means that only 26 English letter analysis contents are implanted in the background data of the letter identification device, after the scanning data is transmitted, it forms a letter output in order, and the remaining part of the license plate is in a random code state;

[0059] If the letter output also exists in the real-time database of the parking lot, switch back to the digital identification device and output the digital output at the same time, and record it as overlapping data.

[0060] ​When the system receives the overlapping data mark, the parking space inside the parking lot is determined based on the parking space to determine the parking space number of the same data as the overlapping data, and the first overlapping data, the second overlapping data, …, and the i-th overlapping data are sequentially formed in the order of the entry time, where i indicates the current number of overlapping data.

[0061] After the overlapping data triggers, the intelligent parking lot internal system determines the vehicle corresponding to the overlapping data through the parking space monitoring identifier, and the parking space monitoring identifier refers to any parking space with an identifier code and a ground sensing device. The user can pay the vehicle fee through the parking space monitoring identifier code, and the ground sensing device can detect whether the vehicle has left the parking space.

[0062] During the process of any vehicle corresponding to the overlapping data leaving, a temporary monitoring instruction is triggered.

[0063] The temporary monitoring instruction refers to the temporary monitoring of other overlapping data corresponding vehicles leaving the parking space by the intelligent parking lot internal system. If no other vehicle moves, the feedback is at the parking lot exit. If the current overlapping data user has completed the billing, the exit forms a verification code with a time period for the current overlapping data, and the current overlapping data user leaves the factory within the time period. The verification code scanned by the parking lot exit system is used for billing feedback. The parking lot exit switches to a 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 the exit, and the temporary monitoring instruction is released.

[0064] In this application, for users who have paid 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 certain time limit, the overlapping data can be preferentially passed through the verification code. The following multiple data feedback mechanism is mainly aimed at analyzing users who have not paid in advance. The priority of the verification code formed by the advance billing is the highest priority.

[0065] If other overlapping data corresponding vehicles leave the parking space before the temporary monitoring instruction is released, a multiple data feedback mechanism is formed.

[0066] The multiple data feedback mechanism includes a first heavy data feedback mechanism:

[0067] The color collection device around the parking space is determined based on the parking space monitoring identifier. The license plate color data and the vehicle body color data of the vehicle corresponding to the overlapping data are identified based on the color collection device. If the license plate color data and the vehicle body color data of the other overlapping data corresponding vehicle are not completely the same, additional data is formed and fed back to the parking lot exit. The additional data includes the license plate color data and the vehicle body color data of the vehicle.

[0068] If the license plate color data and the body color data of the vehicle corresponding to the other overlapping data are completely same, switch to the second heavy data feedback mechanism.

[0069] The second heavy data feedback mechanism comprises:

[0070] determining the shortest time of the vehicle corresponding to the other overlapping data, specifically comprising:

[0071] acquiring the parking space position A of the vehicle corresponding to any other overlapping data, calling a plurality of groups of historical time data from the parking space position A to the exit of the parking lot based on big data, and forming an initial data group;

[0072] processing the data in the initial data group, forming an initial transformation data group by using the data in the initial data group for gray accumulation, and forming a final data group by using the immediate mean value based on the initial transformation data group, confirming the prediction output data based on the initial data group based on the initial data group, the initial transformation data group and the final data group:

[0073] ;

[0074] wherein, represents the prediction output data; represents the natural logarithm; 、 indicates the development coefficient and the gray action amount in the whitening differential equation formed by the initial transformation data group; indicates the first data in the initial data group; indicates the number of data in the initial data group;

[0075] the system sets a time compensation constant , the parking space position of the vehicle corresponding to any other overlapping data The predicted time for reaching the exit of the parking lot is ;

[0076] determining the time data corresponding to the prediction time of the vehicle corresponding to the other overlapping data, taking the minimum value, and if there is a vehicle corresponding to the overlapping data before the time corresponding to the minimum value, it is determined that the current overlapping data user has completed the exit, and the temporary monitoring instruction is released.

[0077] Otherwise, switch to the third heavy data feedback mechanism.

[0078] The third heavy data feedback mechanism comprises:

[0079] Call embedded in the weight sensor inside the inductive coil, get all the movement of the corresponding vehicle leaving the parking space when the weight data overlap data, while starting the weight detection device at the parking lot exit, the exit based on weight to obtain the corresponding parking number to determine the billing data, and in the exit billing process;

[0080] The weight detection device at the parking lot exit automatically forms a weight verification interval during the detection process according to the system preset weight change range;

[0081] For any vehicle corresponding to the overlap data, according to its weight when leaving the parking space, the predicted time when it arrives at the parking lot exit is formed, and the shortest time is formed. If there is a parking lot exit that finds a vehicle corresponding to a weight value earlier than its shortest time, call the administrator to handle.

[0082] In this application, the subtle changes in weight are still considered, so the corresponding weight verification interval is set for processing, for example, the concept of adding or subtracting about 500g data is used to process subtle changes, and the specific setting is based on the sensitivity of the weight detection device; At the same time, considering that the vehicle picks up people and things in the parking lot, the weight changes, and it just falls into the weight verification interval of another overlapping data vehicle that needs to exit, therefore, the shortest time is further set to avoid such events.

[0083] The vehicle exiting the parking lot using the intelligent parking lot double-system identification device includes:

[0084] At the exit of the intelligent parking lot, the digital data in the digital identification device is identified first. If it exists, it is directly processed and exits; If not, the letter data in the letter identification device is identified again. If it exists, it is directly processed and exits.

[0085] In this application, a big data-based intelligent parking lot management system is also provided, which includes:

[0086] The digital identification module 101 is embedded in the intelligent parking lot double-system identification device and has a built-in chip connected to the scanning device of the intelligent parking lot; The digital identification module only contains a digital analysis code for realizing the digital identification of the license plate, and the digital analysis code means that only ten Arabic digital analysis contents are implanted in the background data of the digital identification device. After the scanning data is transmitted, it forms a digital output in order, and the rest of the license plate is in a random code state.

[0087] The letter recognition module 102 is embedded in the intelligent parking lot double system recognition device, and a chip is connected to the scanning device of the intelligent parking lot. If a digital output is formed in the digital recognition module, and it is found that the digital output already exists in the real-time database of the parking lot, the letter recognition device is switched. The real-time database of the parking lot refers to the record database of the vehicle after entering the parking lot but before leaving the parking lot. The letter recognition module only contains letter analysis code. The letter analysis code refers to the implantation of only 26 English letter analysis content in the background data of the letter recognition device. After the scanning data is transmitted, the letter output is formed in sequence, and the rest of the license plate is in a random code state.

[0088] If the letter output also exists in the real-time database of the parking lot, the digital recognition module is switched back, and the digital output is recorded as overlapping data.

[0089] The temporary monitoring module 103 triggers a temporary monitoring instruction during the departure of the vehicle corresponding to the overlapping data.

[0090] The multiple feedback module 104 exists when the vehicle corresponding to the other overlapping data leaves the parking space before the temporary monitoring instruction is removed, forming a multiple data feedback mechanism.

[0091] The billing departure module 105 uses the intelligent parking lot double system recognition device to realize the departure of the vehicle without overlapping data, and realizes the departure of the vehicle with overlapping data based on the multiple data feedback mechanism.

[0092] Finally, it should be noted that the above only describes the preferred embodiments of the present application and does not limit the present application. Although the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing embodiments or make equivalent replacements to some technical features. Any modification, equivalent replacement, improvement, etc. within the spirit and principles of the present application shall be included in the protection scope of the present application.

Claims

1. A big data-based intelligent parking lot management method, characterized in that: The method comprises: Determine vehicle entry input data based on the intelligent parking lot dual system identification device; Determine overlapping data based on the vehicle entry input data, and trigger a temporary monitoring instruction during the departure process of any vehicle corresponding to the overlapping data; Before the temporary monitoring instruction is removed, other vehicles corresponding to the overlapping data leave the parking space, forming a multiple data feedback mechanism; For vehicles without overlapping data, the intelligent parking lot dual system identification device is used to realize vehicle exit, and based on the multiple data feedback mechanism, the vehicle exit corresponding to the overlapping data is realized; The temporary monitoring instruction indicates that the intelligent parking lot internal system temporarily monitors whether the vehicles corresponding to other overlapping data leave the parking space, if none of the other vehicles moves, the parking lot exit is fed back, if the current overlapping data user has completed the billing, the exit forms a verification code with an attached time period for the current overlapping data, the current overlapping data user exits within the time period, scans the parking lot exit system using the verification code fed back during billing, and the parking lot exit switches to a 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 exits, and the temporary monitoring instruction is removed. 2.The big data-based intelligent parking lot management method according to claim 1, characterized in that: The intelligent parking lot dual system identification device comprises: A digital identification device and a letter identification device; Each of the digital identification device and the letter identification device has an internal chip, and the internal chips are connected to the scanning device of the intelligent parking lot at the same time; When a vehicle enters, the scanning device of the intelligent parking lot scans the vehicle license plate number and feeds it back to the intelligent parking lot dual system identification device, the digital identification device in the intelligent parking lot dual system identification device preferentially analyzes the scanning data, the digital identification device only contains a digital analysis code, the digital analysis code means that only ten Arabic numeral analysis contents are implanted in the background data of the digital identification device, after the scanning data is transmitted, it forms a digital output in sequence, and the remaining part of the license plate is in a random code state; If the digital output formed by the digital identification device is found to exist in the real-time database of the parking lot after the digital output is formed, switch to the letter identification device, the real-time database of the parking lot refers to the record database of the vehicle after entering the parking lot but before leaving the parking lot; The letter identification device only contains a letter analysis code, the letter analysis code means that only 26 English letter analysis contents are implanted in the background data of the letter identification device, after the scanning data is transmitted, it forms a letter output in sequence, and the remaining part of the license plate is in a random code state; If the letter output also exists in the real-time database of the parking lot, switch back to the digital identification device and output the digital output, and record it as overlapping data.

3. The intelligent parking lot management method based on big data according to claim 2, characterized in that: When the system receives the overlapping data mark, determine the parking space number of the same data as the overlapping data based on the parking lot internal parking space, and form the first overlapping data, the second overlapping data, …, the i-th overlapping data in sequence according to the entry time sequence, wherein i indicates the current number of overlapping data. After the overlapping data is triggered, the intelligent parking lot internal system determines the vehicle corresponding to the overlapping data to leave the parking lot through the parking space monitoring identifier, which refers to any parking space with an identifier code and a ground sensing device. Users can pay for vehicle billing through the parking space monitoring identifier code, and the ground sensing device can detect whether the vehicle has left the parking space. During the process of any vehicle corresponding to the overlapping data leaving the parking space, a temporary monitoring instruction is triggered. 4.The big data-based intelligent parking lot management method according to claim 3, characterized in that: If other vehicles corresponding to overlapping data leave the parking space before the temporary monitoring instruction is removed, a multiple data feedback mechanism is formed. The multiple data feedback mechanism includes a first data feedback mechanism: Based on the parking space monitoring identifier, the color collection device around the parking space is determined. Based on the color collection device, the license plate color data and the vehicle body color data of the vehicle corresponding to the overlapping data are identified. If the license plate color data and the vehicle body color data of other vehicles corresponding to the overlapping data are not completely the same, additional data is formed and fed back to the parking lot exit, including the license plate color data and the vehicle body color data of the vehicle. If the license plate color data and the vehicle body color data of other vehicles corresponding to the overlapping data are completely the same, a second data feedback mechanism is switched.

5. The big data based intelligent parking lot management method according to claim 4, characterized in that: The second data feedback mechanism includes: Determine the shortest time for other vehicles corresponding to the overlapping data to leave the parking lot, which specifically includes: Obtain the parking space position A of any other vehicle corresponding to the overlapping data, call a plurality of groups of historical time data from the parking space position A to the parking lot exit based on big data, and form an initial data group. Process the data in the initial data group, use the data in the initial data to form an initial transformed data group through gray accumulation, and use the initial transformed data group to form a final data group through the nearest mean value. Based on the initial data group, the initial transformed data group, and the final data group, the predicted output data based on the initial data group is confirmed: ； wherein, represents the predicted output data; e represents the natural logarithm; refers to the development coefficient in the whitened differential equation formed by the initial transform data set and the grey action amount; refers to the first data in the initial data set; refers to the data quantity in the initial data set; The system sets a time compensation constant t, and the predicted time for the position A of the parking space of any other vehicle corresponding to the overlapping data to reach the exit of the parking lot is ; Determine the time data corresponding to the predicted time of other vehicles corresponding to the overlapping data, take the minimum value, and if there is a vehicle corresponding to the overlapping data leaving the parking lot before the minimum value, it is determined that the current overlapping data user has left the parking lot, and the temporary monitoring instruction is removed. Otherwise, switch to a third data feedback mechanism.

6. The big data based intelligent parking lot management method according to claim 5, characterized in that: The third data feedback mechanism includes: Call the weight sensor embedded in the ground sensing coil to obtain the weight data of all moving vehicles corresponding to the overlapping data when they leave the parking space, and simultaneously start the weight detection device at the parking lot exit. The exit determines the billing data based on the weight corresponding to the parking space number, and forms a billing process at the exit. The weight detection device at the parking lot exit automatically forms a weight verification interval during the detection process according to the system preset weight change range. For any vehicle corresponding to the overlapping data, the predicted time when it arrives at the parking lot exit is formed according to its weight when it leaves the parking space, and the shortest time is also formed. If the parking lot exit finds that a vehicle corresponding to a certain weight value arrives earlier than its shortest time, the administrator is called to handle it. 7.The big data based intelligent parking lot management method according to claim 2, characterized in that: The intelligent parking lot double-system identification device is used to realize the vehicle leaving process for vehicles without overlapping data. At the exit of the smart parking lot, the digital data in the digital recognition device is preferentially identified. If the digital data exists, the charging process is directly performed and the vehicle exits. If the digital data does not exist, the letter data in the letter recognition device is identified again. If the letter data exists, the charging process is directly performed and the vehicle exits.

8. A big data-based intelligent parking lot management system for implementing the big data-based intelligent parking lot management method of claim 1, characterized in that: The system comprises: A digital recognition module embedded in the double-system recognition device of the smart parking lot, which is connected to the scanning device of the smart parking lot through a built-in chip. The digital recognition module only contains a digital analysis code for realizing the digital recognition of the license plate. The digital analysis code means that only ten Arabic digital analysis contents are implanted in the background data of the digital recognition device. After the scanning data is transmitted, the digital output is formed in sequence. The remaining part of the license plate is in a random code state. An alphabet recognition module embedded in the double-system recognition device of the smart parking lot, which is connected to the scanning device of the smart parking lot through a built-in chip. If the digital output formed by the digital recognition module exists in the real-time database of the parking lot after the digital output is formed, the alphabet recognition device is switched. The real-time database of the parking lot refers to the record database of the vehicle after entering the parking lot but before exiting the parking lot. The alphabet recognition module only contains an alphabet analysis code. The alphabet analysis code means that only 26 English letter analysis contents are implanted in the background data of the alphabet recognition device. After the scanning data is transmitted, the letter output is formed in sequence. The remaining part of the license plate is in a random code state. If the letter output also exists in the real-time database of the parking lot, the digital recognition module is switched back and the digital output is recorded as overlapping data. A temporary monitoring module triggers a temporary monitoring instruction during the departure process of the vehicle corresponding to any overlapping data. A multiple feedback module exists when the vehicle corresponding to other overlapping data leaves the parking space before the temporary monitoring instruction is released, forming a multiple data feedback mechanism. A charging exit module uses the double-system recognition device of the smart parking lot to realize the exit of the vehicle without overlapping data. At the same time, based on the multiple data feedback mechanism, the exit of the vehicle with overlapping data is realized.

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