CN118626509A - A method and terminal for acquiring and calibrating license plate information of electric vehicle - Google Patents

Abstract

According to the license plate information acquisition and calibration method and terminal for the electric automobile, license plate data are acquired through six modes of the front end, the integrity of license plate data acquisition is guaranteed, the license plate data are grouped according to the six acquisition modes, the priority of the grouping is ordered, VINs are sequentially matched with the license plate data in each group according to the priority, each vehicle VIN can be guaranteed to be bound to the most accurate license plate, the mapping relation between the VINs and the license plates can be dynamically updated and corrected along with continuous data acquisition, the license plate data are effectively acquired quickly, conveniently and at low cost, and the accuracy of the license plate data is guaranteed so as to guarantee that the follow-up detection data are real and effective.

Description

A method and terminal for acquiring and calibrating electric vehicle license plate information

Technical Field

The present invention relates to the field of new energy technology, and in particular to a method and a terminal for acquiring and calibrating license plate information of an electric vehicle.

Background Art

In the integrated application system of photovoltaic storage, charging and inspection, new energy vehicles can simultaneously conduct comprehensive inspections of their power battery systems in specific charging scenarios and generate inspection reports. One of the core metadata of this report is the association mapping between the license plate information of the user's vehicle and its unique vehicle identification number (VIN). It not only provides a clear vehicle ownership identification for the battery test results, but also provides an anchor point for subsequent data analysis, fault tracking, etc. Therefore, how to effectively obtain and verify the license plate information of new energy vehicles has become a crucial link in the entire process, affecting the reliable execution of the inspection service and the guarantee of data integrity.

The traditional solution currently used is to use paid access to a third-party vehicle insurance information interface to retrieve the license plate data of the target vehicle. However, this method has the following significant limitations:

1. High cost-benefit ratio: This method involves continuous interface subscription, and its cost investment may exceed the actual commercial value of the acquired data. The return on investment is low.

(II) Blind spot for uninsured vehicle information: Relying on third-party insurance interfaces for inquiries means that only relevant data of insured vehicles can be obtained. For vehicles that have not yet been included in the insurance system, this solution cannot provide any information.

(III) Strong reliance on the reliability of third-party data sources: The effectiveness and accuracy of this solution depends largely on the data quality and update timeliness of the third-party database. Any errors, omissions or delayed updates from the third-party database will directly affect the accuracy of the query results.

In summary, the existing solutions have great limitations in terms of data accuracy and investment cost ratio.

Summary of the invention

The technical problem to be solved by the present invention is to provide a method and terminal for obtaining and calibrating license plate information of an electric vehicle, so as to achieve fast, convenient and low-cost acquisition of license plate data, and ensure the accuracy of license plate data to ensure that the detection data is authentic and valid.

In order to solve the above technical problems, the technical solution adopted by the present invention is:

A method for acquiring and calibrating license plate information of an electric vehicle comprises the following steps:

S1, obtain license plate data through six methods: charging pile camera shooting, user charging selection, user driving license upload, gate push license plate, third-party charging platform push license plate and manual license plate verification;

S2, grouping the license plate data according to the acquisition method and prioritizing the groups;

S3. Match each VIN with each set of license plate data according to the priority from high to low, obtain a matching result and update the mapping relationship between each VIN and the license plate data.

In order to solve the above technical problems, another technical solution adopted by the present invention is:

An electric vehicle license plate information acquisition and calibration terminal includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the following steps are implemented:

S1, obtain license plate data through six methods: charging pile camera shooting, user charging selection, user driving license upload, gate push license plate, third-party charging platform push license plate and manual license plate verification;

S2, grouping the license plate data according to the acquisition method and prioritizing the groups;

S3. Match each VIN with each set of license plate data according to the priority from high to low, obtain a matching result and update the mapping relationship between each VIN and the license plate data.

The beneficial effects of the present invention are: providing an electric vehicle license plate information acquisition and calibration method and terminal, acquiring license plate data through six front-end methods to ensure the integrity of license plate data acquisition, grouping the license plate data according to the six acquisition methods and prioritizing the groups, and then matching the VIN with the license plate data in each group in turn according to the priority, ensuring that each vehicle VIN can be bound to a most accurate license plate, and subsequently being able to dynamically update and correct the mapping relationship between VIN and license plate as data is continuously collected, effectively achieving fast, convenient and low-cost acquisition of license plate data, and ensuring the accuracy of license plate data to ensure that subsequent detection data is true and valid.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG1 is an overall flow chart of a method for acquiring and calibrating license plate information of an electric vehicle according to an embodiment of the present invention;

FIG2 is a specific flow chart of a method for acquiring and calibrating license plate information of an electric vehicle according to an embodiment of the present invention;

FIG. 3 is a schematic diagram of the structure of a terminal for acquiring and calibrating license plate information of an electric vehicle according to an embodiment of the present invention.

Description of labels:

1. A terminal for acquiring and calibrating license plate information of an electric vehicle; 2. A memory; 3. A processor.

DETAILED DESCRIPTION

In order to explain the technical content, achieved objectives and effects of the present invention in detail, the following is an explanation in combination with the implementation modes and the accompanying drawings.

Prior to this, the English abbreviations appearing in this application are explained as follows:

VIN code: It is the abbreviation of Vehicle Identification Number, and its Chinese name is vehicle identification code, also known as vehicle frame number. It is equivalent to the car’s ID number. Currently, most electric vehicles on the market can obtain the vehicle’s VIN code through charging piles, but there are also a small number of models that cannot obtain the VIN code through charging piles.

Referring to FIG. 1 and FIG. 2 , a method for obtaining and calibrating license plate information of an electric vehicle includes the following steps:

S1, obtain license plate data through six methods: charging pile camera shooting, user charging selection, user driving license upload, gate push license plate, third-party charging platform push license plate and manual verification of license plate;

S2, grouping the license plate data according to the acquisition method and prioritizing the groups;

S3. Match each VIN with each set of license plate data according to the priority from high to low, obtain a matching result and update the mapping relationship between each VIN and the license plate data.

From the above description, it can be seen that the beneficial effects of the present invention are: providing an electric vehicle license plate information acquisition and calibration method, acquiring license plate data through six front-end methods, ensuring the integrity of license plate data acquisition, and grouping the license plate data according to the six acquisition methods and prioritizing the groups, and then matching the VIN with the license plate data in each group in turn according to the priority, ensuring that each vehicle VIN can be bound to a most accurate license plate, and subsequently being able to dynamically update and correct the mapping relationship between VIN and license plate as data is continuously collected, effectively achieving fast, convenient and low-cost acquisition of license plate data, and ensuring the accuracy of license plate data to ensure that subsequent detection data is true and valid.

Furthermore, the charging pile camera shooting is specifically as follows:

When the user's electric car is plugged in for charging, the charging pile camera performs image recognition to obtain the license plate information of the user's electric car;

The user charging options are specifically:

When the user's electric vehicle is charging, the license plate information of the user's electric vehicle is obtained through the license plate number input by the user on the charging APP, or the license plate information of the user's electric vehicle is obtained by the user selecting from the list of charging cars displayed on the charging APP;

The specific steps of uploading the user's driving license are as follows:

When the user authenticates the electric vehicle, the front and back of the driving license uploaded by the user are OCR-recognized to obtain the license plate information of the user's electric vehicle;

The specific details of the license plate pushed by the gate are:

After the user's electric car is fully charged, the license plate of the corresponding electric car is pushed to the gate system according to the parking exemption discount to obtain the license plate information of the user's electric car;

The license plate pushed by the third-party charging platform is specifically:

When the user completes the charging operation of the electric vehicle using the third-party charging platform, the license plate information of the user's electric vehicle is obtained by pushing the license plate to the self-operated platform in the form of an interconnection interface through a standard communication protocol;

The manual verification of the license plate is specifically as follows:

When issuing the inspection report, manual intervention is performed to correct the data of the abnormal license plate and obtain the license plate information of the user's electric car.

From the above description, it can be seen that the six methods of obtaining license plate data cover most of the methods of obtaining license plate information on the market, effectively ensuring that the license plate information can be obtained completely, and the entire license plate data will not be lost due to failure to obtain it in a certain way. It also provides a data basis for subsequent verification and detection.

Furthermore, between steps S1 and S2, the following steps are also included:

S12, regularly synchronizing the license plate data to a database, and cleaning the license plate data, including data length verification, data format verification and logic verification, and discarding the license plate data that fails the verification.

From the above description, it can be seen that the acquired license plate data is first cleaned including data length check, data format check and logic check, so as to screen out the license plate data that meets the requirements and avoid erroneous data or abnormal data interfering with the subsequent matching of license plate information and VIN code and affecting calibration.

Furthermore, there are 6 levels of priority in step S2, and from high to low, they are manual verification of license plate, user driving license upload, user charging selection, license plate push by the barrier, license plate push by the third-party charging platform and shooting by the charging pile camera.

Furthermore, the step S3 is specifically as follows:

S31, matching each VIN in order from level 1 to level 6 according to the priority, and determining whether the matched license plate data belongs to level 3-6, if so, proceeding to step S32, otherwise proceeding to step S33;

S32, if there are other license plate data in the priority group where the matched license plate data is located that can also match the current VIN, the license plate data with the largest number of occurrences is taken as the matching result;

S33, determining whether there is a matching record of the current VIN in the database, if so, updating the matching record according to the matched license plate data, otherwise treating the current VIN and the matched license plate data as a newly added matching record and storing them in the database;

S34. Obtain a mapping relationship between each VIN and the license plate data according to the matching record.

From the above description, it can be seen that due to business attributes, the license plate data obtained by the acquisition methods with priority levels 1 and 2 will only be the latest data, and there will be no historical data. Therefore, when a match is found, it can be directly used as a matching result for subsequent updates or additions to the mapping relationship between the license plate information and the VIN code to ensure accuracy. The license plate data obtained by the acquisition methods with priority levels 3-6 will have historical records, and the latest data is not necessarily the correct data with accurate mapping relationship between license plate information and VIN codes. Therefore, when the matched license plate data belongs to a group of levels 3-6, it is necessary to match and filter all historical data and VIN codes for the group and filter the license plate data with the most matches as the final matching result, thereby ensuring the accuracy of the matching result.

Referring to FIG. 3 , a terminal for acquiring and calibrating license plate information of an electric vehicle includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the following steps are implemented:

S1, obtain license plate data through six methods: charging pile camera shooting, user charging selection, user driving license upload, gate push license plate, third-party charging platform push license plate and manual verification of license plate;

S2, grouping the license plate data according to the acquisition method and prioritizing the groups;

S3. Match each VIN with each set of license plate data according to the priority from high to low, obtain a matching result and update the mapping relationship between each VIN and the license plate data.

From the above description, it can be seen that the beneficial effects of the present invention are: based on the same technical concept, in conjunction with the above-mentioned electric vehicle license plate information acquisition and calibration method, an electric vehicle license plate information acquisition and calibration terminal is provided, which acquires license plate data through six front-end methods to ensure the integrity of license plate data acquisition, and groups the license plate data according to the six acquisition methods and prioritizes the groups, and then matches the VIN with the license plate data in each group in turn according to the priority, ensuring that each vehicle VIN can be bound to a most accurate license plate, and subsequently the mapping relationship between VIN and license plate can be dynamically updated and corrected as data is continuously collected, effectively realizing fast, convenient and low-cost acquisition of license plate data, and ensuring the accuracy of license plate data to ensure that subsequent detection data is true and valid.

Furthermore, the charging pile camera shooting is specifically as follows:

When the user's electric car is plugged in for charging, the charging pile camera performs image recognition to obtain the license plate information of the user's electric car;

The user charging options are specifically:

When the user's electric vehicle is charging, the license plate information of the user's electric vehicle is obtained through the license plate number input by the user on the charging APP, or the license plate information of the user's electric vehicle is obtained by the user selecting from the list of charging cars displayed on the charging APP;

The specific steps of uploading the user's driving license are as follows:

When the user authenticates the electric vehicle, the front and back of the driving license uploaded by the user are OCR-recognized to obtain the license plate information of the user's electric vehicle;

The specific details of the license plate pushed by the gate are:

After the user's electric car is fully charged, the license plate of the corresponding electric car is pushed to the gate system according to the parking exemption discount to obtain the license plate information of the user's electric car;

The license plate pushed by the third-party charging platform is specifically:

When the user completes the charging operation of the electric vehicle using the third-party charging platform, the license plate information of the user's electric vehicle is obtained by pushing the license plate to the self-operated platform in the form of an interconnection interface through a standard communication protocol;

The manual verification of the license plate is specifically as follows:

When issuing the inspection report, manual intervention is performed to correct the data of the abnormal license plate and obtain the license plate information of the user's electric car.

From the above description, it can be seen that the six methods of obtaining license plate data cover most of the methods of obtaining license plate information on the market, effectively ensuring that the license plate information can be obtained completely, and the entire license plate data will not be lost due to failure to obtain it in a certain way. It also provides a data basis for subsequent verification and detection.

Furthermore, between steps S1 and S2, the following steps are also included:

S12, regularly synchronizing the license plate data to a database, and cleaning the license plate data, including data length verification, data format verification and logic verification, and discarding the license plate data that fails the verification.

From the above description, it can be seen that the acquired license plate data is first cleaned including data length check, data format check and logic check, so as to screen out the license plate data that meets the requirements and avoid erroneous data or abnormal data interfering with the subsequent matching of license plate information and VIN code and affecting calibration.

Furthermore, there are 6 levels of priority in step S2, and from high to low, they are manual verification of license plate, user driving license upload, user charging selection, license plate push by the barrier, license plate push by the third-party charging platform and shooting by the charging pile camera.

Furthermore, the step S3 is specifically as follows:

S31, matching each VIN in order from level 1 to level 6 according to the priority, and determining whether the matched license plate data belongs to level 3-6, if so, proceeding to step S32, otherwise proceeding to step S33;

S32, if there are other license plate data in the priority group where the matched license plate data is located that can also match the current VIN, the license plate data that appears the most times is taken as the matching result;

S33, determining whether there is a matching record of the current VIN in the database, if so, updating the matching record according to the matched license plate data, otherwise treating the current VIN and the matched license plate data as a newly added matching record and storing them in the database;

S34. Obtain a mapping relationship between each VIN and the license plate data according to the matching record.

From the above description, it can be seen that due to business attributes, the license plate data obtained by the acquisition methods with priority levels 1 and 2 will only be the latest data, and there will be no historical data. Therefore, when a match is found, it can be directly used as a matching result for subsequent updates or additions to the mapping relationship between the license plate information and the VIN code to ensure accuracy. The license plate data obtained by the acquisition methods with priority levels 3-6 will have historical records, and the latest data is not necessarily the correct data with accurate mapping relationship between license plate information and VIN codes. Therefore, when the matched license plate data belongs to a group of levels 3-6, it is necessary to match and filter all historical data and VIN codes for the group and filter the license plate data with the most matches as the final matching result, thereby ensuring the accuracy of the matching result.

The present invention provides an electric vehicle license plate information acquisition and calibration method and terminal, which are mainly used in the scenario of acquiring the license plate information of a new energy electric vehicle in a power battery detection scenario and mapping and calibrating it with its unique vehicle identification VIN code. The following is a specific description in conjunction with a specific embodiment:

Please refer to FIG. 1 , the first embodiment of the present invention is:

A method for obtaining and calibrating electric vehicle license plate information, as shown in FIG1 , comprises the following steps:

S1. Obtain license plate data through six methods: shooting by charging pile camera, user charging selection, user driving license upload, license plate push by gate, license plate push by third-party charging platform, and manual verification of license plate.

S2. Grouping the license plate data according to the acquisition method and prioritizing the groups.

S3. Match each VIN with each set of license plate data according to the priority from high to low, obtain the matching result and update the mapping relationship between each VIN and license plate data.

That is, in this embodiment, the license plate data is obtained through six methods of the front end to ensure the integrity of the license plate data acquisition, and the license plate data is grouped according to the six acquisition methods and the groups are prioritized, and then the VIN is matched with the license plate data in each group in turn according to the priority, to ensure that each vehicle VIN can be bound to a most accurate license plate, and the mapping relationship between VIN and license plate can be dynamically updated and corrected as data is continuously collected, thereby effectively realizing fast, convenient and low-cost acquisition of license plate data, and ensuring the accuracy of license plate data to ensure that subsequent detection data is true and valid.

Please refer to FIG. 2 , the second embodiment of the present invention is:

A method for obtaining and calibrating license plate information of an electric vehicle, based on the above-mentioned embodiment 1, in this embodiment, as shown in FIG2 , six methods for obtaining license plate data are specifically described as follows:

The charging pile camera captures the user's electric car by performing image recognition when the user's electric car is plugged in for charging. The main processes involved can be summarized as follows:

Trigger mechanism (the vehicle plugs in the gun to trigger the charging pile image acquisition system) → Image acquisition and processing (high-precision shooting, image preprocessing, license plate positioning, character segmentation and recognition) → Data transmission (the successfully recognized license plate information, together with metadata such as recognition confidence and timestamp, is encapsulated into a standard message format and transmitted to the cloud IOT platform in real time through a secure communication protocol).

The user charging selection is specifically to obtain the license plate information of the user's electric car through the license plate entered by the user on the charging APP when the user's electric car is charging, or to obtain the license plate information of the user's electric car through the user's selection from the list of charging cars displayed on the charging APP. The main processes involved can be summarized as follows:

1. User interface presentation

When the user opens the charging app and enters the charging operation interface, the system will clearly display an interactive area dedicated to entering or selecting the license plate number. This area is located in a prominent position on the page and is simple and intuitive, making it easy for users to quickly locate it. The interface contains text prompts: "Please enter the license plate number of the charging vehicle" or "Please select the vehicle being charged" to guide users to operate correctly.

2. License plate input and verification mechanism

Users can directly type the license plate number in the input box. To improve input efficiency and data accuracy, a dedicated license plate input control is used in the interactive design to ensure data compliance.

(III) License plate selection function

For users who have registered and bound multiple new energy vehicles, the APP provides a license plate selector in the form of a drop-down list. The list clearly lists the license plate numbers of all vehicles under the user's name and their corresponding vehicle models. Users only need to click or slide to select the vehicle being charged. For easy distinction, the vehicle information also comes with auxiliary information such as brand thumbnails and models.

4. License plate verification mechanism

Format verification: Check whether the license plate number complies with the license plate formatting rules, including the number and type of characters.

Real-time recognition result comparison: Relying on the charging pile's automatic license plate recognition function, the APP can compare the license plate information entered by the user with the recognition result returned by the charging pile in real time. If the two are inconsistent, a pop-up window will remind the user to confirm.

The specific process of uploading the user's driving license is to perform OCR recognition on the front and back of the driving license uploaded by the user to obtain the license plate information of the user's electric vehicle when the user's electric vehicle is authenticated. The main processes involved can be summarized as follows:

1. User upload

To obtain better charging detection services, users will follow the platform's instructions and use mobile devices (such as smartphones) to take high-definition photos of the front and back of the driving license and upload them for vehicle authentication.

(II) Call the driving license OCR recognition interface to obtain information

The acquired image is used to call the driving license OCR recognition interface, and after image preprocessing, area positioning, character recognition, and data verification, the normal user license plate and VIN information are obtained.

(III) Application of vehicle authentication information storage

The verified correspondence between the VIN code and the license plate number, together with other relevant information on the driving license, is integrated and stored in the vehicle authentication database.

The specific process of pushing license plates at the gate is that after the user's electric car is charged, the license plate of the corresponding electric car is pushed to the gate system according to the parking exemption discount to obtain the license plate information of the user's electric car. The main processes involved can be summarized as follows:

1. Push the gate after charging is completed

When the vehicle charging reaches the preset end condition (such as full charge, user manually stops charging, billing time reaches the upper limit, etc.), the charging pile will send a charging completion signal to the background management system. According to the pre-set preferential policy rules, it is judged whether the charging user is eligible for parking exemptions. The judgment basis may include charging amount, charging time, membership level, use of partner coupons, etc. After confirming that the user is eligible for the discount, the system will push the packaged license plate information to the interface of the parking lot gate system according to the communication protocol.

(II) Barrier determination results

The gate determines whether the license plate exists within the corresponding time interval, executes the preferential logic, and feedbacks the interface content.

(III) Gate call information storage

Filter the records of successful gate calls and store the information in the database for use.

The third-party charging platform pushes the license plate when the user completes the charging operation of the electric vehicle using the third-party charging platform. The license plate information of the user's electric vehicle is obtained by pushing the license plate to the self-operated platform in the form of an interconnection interface through a standard communication protocol.

Manual verification of the license plate specifically involves manual intervention to correct the data of the abnormal license plate when issuing the inspection report and then obtain the license plate information of the user's electric vehicle.

That is, in this embodiment, the six methods of obtaining license plate data cover most of the methods of obtaining license plate information on the market, effectively ensuring that the license plate information can be obtained completely, and the entire license plate data will not be lost due to failure to obtain it in a certain way. It also provides a data basis for subsequent verification and detection.

As shown in FIG. 2 , in this embodiment, between steps S1 and S2, the following steps are further included:

S12. Regularly synchronize the license plate data to the database and clean the license plate data, including data length verification, data format verification and logic verification, and discard the license plate data that fails the verification.

That is, the acquired license plate data is first cleaned including data length check, data format check and logic check, so as to screen out the license plate data that meets the requirements, and avoid erroneous data or abnormal data interfering with the subsequent matching of license plate information and VIN code and affecting calibration.

In this embodiment, the data format check may include a length check, that is, confirming whether the length of the license plate string meets the requirements, and the judgment logic is that the length meets the 7-9 character string. It may also include a character type check, for example:

First character: Confirm whether it is the Chinese abbreviation of the specified province or region, such as "京", "粤", "沪", etc.

Second character: For normal license plates, check whether it is an uppercase letter.

Subsequent characters: For normal license plates, check whether it is an uppercase letter or Arabic numeral.

Other types: For special license plates such as the Armed Police, Hong Kong and Macao, follow their own specific coding rule logic.

In addition, as shown in Figure 2, in this embodiment, there are 6 levels of priority in step S2, which correspond to the six ways of obtaining license plate data, and their priorities from high to low are manual verification of license plates, user driving license upload, user charging selection, gate push of license plates, third-party charging platform push of license plates, and charging pile camera shooting.

Then step S3 is specifically:

S31, match each VIN in order from level 1 to level 6 according to the priority, and determine whether the matched license plate data belongs to level 3-6, if so, proceed to step S32, otherwise proceed to step S33.

S32. If there are other license plate data in the priority group where the matched license plate data is located that can also match the current VIN, the license plate data that appears the most times is taken as the matching result, for example:

When matching the third priority user charging option, the VIN with the most appearances in the historical big data and not bound by other VINs is matched;

When matching the 4th priority gate to push the license plate, the VIN in the historical big data is matched with the data with the most appearances and not bound by other VINs;

When matching the license plate pushed by the third-party charging platform with the fifth priority, the VIN in the historical big data is matched with the data with the most appearances and not bound by other VINs;

When matching the charging pile camera with the 6th priority, the VIN is matched with the data with the most appearances in the historical big data and is not bound by other VINs.

S33, determine whether there is a matching record for the current VIN in the database, if so, update the matching record according to the matched license plate data, otherwise, store the current VIN and the matched license plate data as a newly added matching record in the database.

S34. According to the matching records, the mapping relationship between each VIN and the license plate data is obtained, thereby improving the database and providing data for subsequent detection services.

That is, due to business attributes, the license plate data obtained by the acquisition methods with priority levels 1 and 2 will only be the latest data, and there will be no historical data. Therefore, when a match is found, it can be directly used as the matching result for subsequent updates or additions to the mapping relationship between the license plate information and the VIN code to ensure accuracy. The license plate data obtained by the acquisition methods with priority levels 3-6 will have historical records, and the latest data is not necessarily the correct data with accurate mapping relationship between license plate information and VIN codes. Therefore, when the matched license plate data belongs to a group of levels 3-6, it is necessary to match and filter all historical data and VIN codes for the group and filter the license plate data with the most matches as the final matching result, thereby ensuring the accuracy of the matching result.

The method of this embodiment can greatly improve the completeness and accuracy of license plate data acquisition. Taking 800,000 test report data as a sample, the license plate completeness was 50% before using this solution, and it was increased to 95% after optimization. At the same time, it can replace third-party interface queries, which can bring cost savings of 90,000 yuan/year (based on the market price of 0.9 yuan/time, 100,000 times/year). This data lays the foundation for establishing new energy vehicle battery archive data.

Please refer to FIG. 3 , the third embodiment of the present invention is:

An electric vehicle license plate information acquisition and calibration terminal 1 includes a memory 2, a processor 3, and a computer program stored in the memory 2 and executable on the processor 3. When the processor 3 executes the computer program, the steps of an electric vehicle license plate information acquisition and calibration method in the above-mentioned embodiment 1 or embodiment 2 are completed.

In summary, the electric vehicle license plate information acquisition and calibration method and terminal provided by the present invention have the following beneficial effects:

1. Greatly improved the integrity and accuracy of license plate data acquisition.

2. Replace third-party interface query to bring cost savings.

3. Lay the foundation for establishing new energy vehicle battery archive data.

The above descriptions are merely embodiments of the present invention and are not intended to limit the patent scope of the present invention. Any equivalent transformations made using the contents of the present invention's specification and drawings, or directly or indirectly applied in related technical fields, are also included in the patent protection scope of the present invention.

Claims (10)

1. The license plate information acquisition and calibration method of the electric automobile is characterized by comprising the following steps:

S1, obtaining license plate data through six modes of shooting by a charging pile camera, user charging selection, uploading of a user driving license, pushing of a license plate by a barrier gate, pushing of the license plate by a third party charging platform and manual checking of the license plate;

s2, grouping the license plate data and sequencing the priorities of the grouping according to an acquisition mode;

And S3, matching each VIN with each group of license plate data according to the priority from high to low, obtaining a matching result and updating the mapping relation between each VIN and the license plate data.

2. The method for acquiring and calibrating license plate information of an electric automobile according to claim 1, wherein the shooting of the charging pile camera is specifically as follows:

When the electric automobile of the user is subjected to gun inserting charging, the license plate information of the electric automobile of the user is obtained through image recognition by the charging pile camera;

the user charging selection specifically includes:

when the electric automobile of the user is charged, license plate information of the electric automobile of the user is obtained through a license plate input by the user on the charging APP, or license plate information of the electric automobile of the user is obtained through selection in a charging automobile list displayed on the charging APP by the user;

The uploading of the user driving license specifically comprises the following steps:

When a user authenticates the electric automobile, OCR (optical character recognition) is carried out on the front side and the back side of a running certificate uploaded by the user to obtain license plate information of the electric automobile of the user;

The barrier gate license plate pushing method specifically comprises the following steps:

After the electric automobile of the user is charged, pushing license plates of the corresponding electric automobile to a barrier gate system according to parking reduction and avoidance benefits to obtain license plate information of the electric automobile of the user;

the third party charging platform pushing license plate specifically comprises:

When a user finishes the charging operation of the electric automobile by using the third party charging platform, pushing license plates to the self-operating platform in an interconnection interface mode through a standard communication protocol to obtain license plate information of the electric automobile of the user;

The manual checking license plate specifically comprises the following steps:

And when a detection report is sent, the abnormal license plate is subjected to data correction by manual intervention, and license plate information of the electric automobile of the user is obtained.

3. The method for acquiring and calibrating license plate information of an electric automobile according to claim 1, wherein the steps S1 and S2 further comprise:

S12, synchronizing the license plate data to a database at regular time, cleaning the license plate data, including data length verification, data format verification and logic verification, and discarding the license plate data which does not pass the verification.

4. The method for obtaining and calibrating license plate information of electric automobile according to claim 3, wherein the priority in the step S2 is 6, and the manual license plate checking, the uploading of the user driving license, the charging selection of the user, the pushing of the license plate by the barrier gate, the pushing of the license plate by the third party charging platform and the shooting of the charging pile camera are performed from top to bottom.

5. The method for obtaining and calibrating license plate information of an electric automobile according to claim 4, wherein the step S3 is specifically:

S31, sequentially matching each VIN from 1 level to 6 levels according to the priority, judging whether the matched license plate data belongs to 3-6 levels, if so, entering a step S32, otherwise, entering a step S33;

S32, if other license plate data can be matched with the current VIN in the priority group of the matched license plate data, taking the license plate data with the largest occurrence number as a matching result;

s33, judging whether a matching record of the current VIN exists in the database, if so, updating the matching record according to the matched license plate data, otherwise, taking the current VIN and the matched license plate data as a newly added matching record and storing the newly added matching record in the database;

and S34, obtaining the mapping relation between each VIN and the license plate data according to the matching record.

6. The license plate information acquisition and calibration terminal of the electric automobile is characterized by comprising a memory, a processor and a computer program which is stored in the memory and can run on the processor, wherein the processor realizes the following steps when executing the computer program:

S1, obtaining license plate data through six modes of shooting by a charging pile camera, user charging selection, uploading of a user driving license, pushing of a license plate by a barrier gate, pushing of the license plate by a third party charging platform and manual checking of the license plate;

s2, grouping the license plate data and sequencing the priorities of the grouping according to an acquisition mode;

And S3, matching each VIN with each group of license plate data according to the priority from high to low, obtaining a matching result and updating the mapping relation between each VIN and the license plate data.

7. The terminal for acquiring and calibrating license plate information of an electric automobile according to claim 6, wherein the shooting of the charging pile camera is specifically:

When the electric automobile of the user is subjected to gun inserting charging, the license plate information of the electric automobile of the user is obtained through image recognition by the charging pile camera;

the user charging selection specifically includes:

when the electric automobile of the user is charged, license plate information of the electric automobile of the user is obtained through a license plate input by the user on the charging APP, or license plate information of the electric automobile of the user is obtained through selection in a charging automobile list displayed on the charging APP by the user;

The uploading of the user driving license specifically comprises the following steps:

When a user authenticates the electric automobile, OCR (optical character recognition) is carried out on the front side and the back side of a running certificate uploaded by the user to obtain license plate information of the electric automobile of the user;

The barrier gate license plate pushing method specifically comprises the following steps:

After the electric automobile of the user is charged, pushing license plates of the corresponding electric automobile to a barrier gate system according to parking reduction and avoidance benefits to obtain license plate information of the electric automobile of the user;

the third party charging platform pushing license plate specifically comprises:

When a user finishes the charging operation of the electric automobile by using the third party charging platform, pushing license plates to the self-operating platform in an interconnection interface mode through a standard communication protocol to obtain license plate information of the electric automobile of the user;

The manual checking license plate specifically comprises the following steps:

And when a detection report is sent, the abnormal license plate is subjected to data correction by manual intervention, and license plate information of the electric automobile of the user is obtained.

8. The terminal for acquiring and calibrating license plate information of an electric automobile according to claim 6, wherein the steps S1 and S2 further comprise:

S12, synchronizing the license plate data to a database at regular time, cleaning the license plate data, including data length verification, data format verification and logic verification, and discarding the license plate data which does not pass the verification.

9. The terminal for obtaining and calibrating license plate information of an electric automobile according to claim 8, wherein the priority in the step S2 is 6, and the manual license plate checking, the uploading of the user driving license, the charging selection of the user, the pushing of the license plate by the barrier gate, the pushing of the license plate by the third party charging platform and the shooting of the charging pile camera are performed from top to bottom.

10. The license plate information acquisition and calibration terminal of the electric automobile according to claim 9, wherein the step S3 is specifically:

S31, sequentially matching each VIN from 1 level to 6 levels according to the priority, judging whether the matched license plate data belongs to 3-6 levels, if so, entering a step S32, otherwise, entering a step S33;

S32, if other license plate data can be matched with the current VIN in the priority group of the matched license plate data, taking the license plate data with the largest occurrence number as a matching result;

s33, judging whether a matching record of the current VIN exists in the database, if so, updating the matching record according to the matched license plate data, otherwise, taking the current VIN and the matched license plate data as a newly added matching record and storing the newly added matching record in the database;

and S34, obtaining the mapping relation between each VIN and the license plate data according to the matching record.