Product oil tax co-governance statistical method and system

Abstract

The embodiment of the invention discloses a product oil tax co-governance statistical method and system. The method comprises the following steps: acquiring a video image of a refueled vehicle from a gas inlet station to a gas outlet station; identifying the video image, and confirming feature information of the refueling vehicle, refueling machine information for refueling the refueling vehicle and refueling duration; calculating a first refueling amount according to the refueling machine information and the refueling duration; comparing the first refueling amount with a second refueling amount uploaded by a refueling machine, and calculating an error value; if the error value is smaller than or equal to the preset threshold value, generating a tax declaration form according to the second refueling amount. According to the method, the supervision platform can monitor key information such as the refueling amount and the refueling amount of the gas station in real time, the real-time performance and the accuracy of tax data are ensured, and therefore the tax evasion behavior of the gas station through a refueling machine cheating mode is effectively avoided. Meanwhile, the supervision platform also supports the query and export functions of historical tax data, and provides comprehensive data support for tax departments.

Description

Technical Field

[0001] The present invention relates to the field of computer software technology, and in particular to a statistical method and system for the joint management of refined oil tax revenue. Background Art

[0002] Gas stations are widely distributed, and it is difficult to check actual inventory against accounts. Taxpayers have a weak sense of tax payment, and input vouchers are not standardized. It is impossible to monitor the sales data of gas stations in real time, and the workload of post-investigation is large. The existing technology mainly manages the changes in finished oil inventory to prevent gas stations from evading taxes. The monitoring method is single and cannot effectively prevent gas stations from evading taxes in the circulation link by means of false invoicing finished oil, false declaration, and cheating at gas pumps. Summary of the invention

[0003] In view of the technical defects in the prior art, the purpose of the embodiments of the present invention is to provide a method and system for statistics on the co-governance of refined oil taxation to solve the technical problems raised in the background technology.

[0004] To achieve the above objectives, in a first aspect, an embodiment of the present invention provides a method for statistically analyzing the taxation of refined oil products, including:

[0005] Acquire video images of a refueling vehicle from entering a gas station to leaving the gas station;

[0006] Identify the video image to confirm feature information of the refueling vehicle, information of the refueling machine refueling the refueling vehicle, and refueling duration;

[0007] Calculating a first refueling amount according to the refueling machine information and the refueling duration;

[0008] Compare the first refueling amount with the second refueling amount uploaded by the refueling machine, and calculate an error value;

[0009] If the error value is less than or equal to a preset threshold, a tax return form is generated according to the second refueling amount.

[0010] Furthermore, the characteristic information of the refueling vehicle includes a license plate number.

[0011] Further, calculating a first refueling amount according to the refueling machine information and the refueling time includes:

[0012] Obtaining the fuel gun flow rate according to the fuel dispenser information query;

[0013] The first refueling amount is calculated based on the oil gun flow rate and the refueling time.

[0014] Furthermore, if the error value is greater than a preset threshold, the first refueling amount, the second refueling amount, the error value, characteristic information of the refueling vehicle, refueling machine information and video images are sent to the supervision terminal.

[0015] Furthermore, the video image and the second refueling amount uploaded by the refueling machine are both encrypted data.

[0016] In a second aspect, an embodiment of the present invention further provides a refined oil tax co-governance statistics system, including:

[0017] An image acquisition module is used to acquire video images of a refueling vehicle from entering a gas station to leaving the gas station;

[0018] An image recognition module is used to recognize the video image, confirm the characteristic information of the refueling vehicle, the information of the refueling machine refueling the refueling vehicle, and the refueling time;

[0019] A refueling calculation module, used to calculate a first refueling amount according to the refueling machine information and the refueling duration;

[0020] an error calculation module, used to compare the first refueling amount with the second refueling amount uploaded by the refueling machine to calculate an error value;

[0021] A tax declaration module is used to generate a tax declaration form according to the second refueling amount if the error value is less than or equal to a preset threshold.

[0022] Furthermore, the characteristic information of the refueling vehicle includes a license plate number.

[0023] Further, the refueling calculation module is used to:

[0024] Obtaining the fuel gun flow rate according to the fuel dispenser information query;

[0025] The first refueling amount is calculated based on the oil gun flow rate and the refueling time.

[0026] Furthermore, the system further comprises:

[0027] The error warning module is used to send the first refueling amount, the second refueling amount, the error value, the characteristic information of the refueling vehicle, the refueling machine information and the video image to the supervision terminal if the error value is greater than a preset threshold.

[0028] Furthermore, the video image and the second refueling amount uploaded by the refueling machine are both encrypted data.

[0029] The method provided in the embodiment of the present invention is implemented by identifying the video images of a refueling vehicle from entering a gas station to leaving a gas station, accurately identifying and calculating the refueling time of the refueling vehicle and the information of the gas station that refuels the vehicle, calculating a first refueling amount based on the gas station information and the refueling time, and comparing the first refueling amount with a second refueling amount uploaded by the gas station to calculate an error value. If the error value is less than or equal to a preset threshold, generating a tax return form based on the second refueling amount.

[0030] By implementing this method, the supervision platform can monitor the gas station's fuel volume, fuel amount and other key information in real time, ensuring the real-time and accuracy of tax data, thereby effectively avoiding gas stations from evading taxes through cheating at gas pumps. At the same time, the supervision platform also supports the query and export of historical tax data, providing comprehensive data support for the tax department. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] In order to more clearly illustrate the specific implementation of the present invention or the technical solution in the prior art, the drawings required for use in the specific implementation or the description of the prior art are briefly introduced below.

[0032] Figure 1 It is a flow chart of a statistical method for co-governance of refined oil taxation provided by an embodiment of the present invention;

[0033] Figure 2a-2e It is a schematic diagram of recognizing a video image to confirm the refueling time of a refueling vehicle provided by an embodiment of the present invention;

[0034] Figure 3 It is a structural diagram of a refined oil tax co-governance statistics system provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0035] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0036] It should be understood that when used in this specification and the appended claims, the terms "include" and "comprises" indicate the presence of described features, integers, steps, operations, elements and / or components, but do not exclude the presence or addition of one or more other features, integers, steps, operations, elements, components and / or combinations thereof.

[0037] It should also be understood that the terms used in this specification of the present invention are only for the purpose of describing specific embodiments and are not intended to limit the present invention. As used in the specification of the present invention and the appended claims, unless the context clearly indicates otherwise, the singular forms "a", "an" and "the" are intended to include plural forms.

[0038] It should be further understood that the term "and / or" used in the present specification and the appended claims refers to any and all possible combinations of one or more of the associated listed items, and includes these combinations.

[0039] As used in this specification and the appended claims, the term "if" may be interpreted as "when" or "upon" or "in response to determining" or "in response to detecting," depending on the context. Similarly, the phrases "if it is determined" or "if [described condition or event] is detected" may be interpreted as meaning "upon determination" or "in response to determining" or "upon detection of [described condition or event]" or "in response to detecting [described condition or event]," depending on the context.

[0040] It should be noted that, unless otherwise specified, the technical terms or scientific terms used in this application should have the common meanings understood by those skilled in the art to which the present invention belongs.

[0041] like Figure 1 As shown, an embodiment of the present invention provides a flow chart of a method for calculating the tax co-governance of refined oil products, which is run in a refined oil product tax co-governance management platform. The method may specifically include the following steps:

[0042] Step S110: Acquire video images of a refueling vehicle from entering a gas station to exiting the gas station.

[0043] Cameras are installed at the entrance, exit and inside the gas station, and the corresponding cameras can capture the video images of refueling vehicles from entering to leaving the gas station. The finished oil tax co-governance management platform obtains the video images of refueling vehicles from entering to leaving the gas station through the cameras.

[0044] To prevent data leakage, the camera will encrypt the video image before uploading it. For example, it can be encrypted using a symmetric encryption algorithm or an asymmetric encryption algorithm. After receiving the encrypted video image, the refined oil tax co-governance management platform decrypts it to obtain the video image.

[0045] Step S120: Identify the video image to confirm the characteristic information of the refueling vehicle, the information of the refueling machine that refuels the refueling vehicle, and the refueling time.

[0046] After the refined oil tax co-governance management platform obtains the video image of the refueling vehicle from entering the gas station to leaving the gas station, it calls the preset AI image recognition model to identify the video image, and obtains the characteristic information of the refueling vehicle, the information of the gas station that refuels the refueling vehicle, and the refueling time from the video image.

[0047] In this embodiment, the characteristic information of the refueling vehicle includes the license plate number, and may also include information such as the model, color, and brand of the refueling vehicle.

[0048] In this embodiment, the fuel dispenser information includes the fuel dispenser number. The AI ​​image recognition model identifies the worker's actions of lifting and releasing the fuel dispenser gun in the video image to confirm the refueling start time and refueling end time, and uses the time period between the refueling start time and refueling end time as the refueling duration. The process is as follows: Figure 2a-2e And, as Figure 2a-2e As shown, the refueling video interface will monitor the refueling status of the fuel gun in real time, and the video interface has a progress bar that displays the number of liters of refueling in real time.

[0049] Step S130: Calculate a first refueling amount according to the refueling machine information and refueling duration.

[0050] Specifically, after the refined oil tax co-governance management platform obtains the number of the gas station through the AI ​​image recognition model, it queries the fuel gun flow of the gas station from the pre-stored gas station information table, and then calculates the first fueling amount according to the product of the fuel gun flow and the refueling time. The first fueling amount is the current fueling amount of the refueling vehicle calculated by AI recognition.

[0051] Step S140: Compare the first refueling amount with the second refueling amount uploaded by the refueling machine, and calculate an error value.

[0052] After the staff puts the fuel gun back, the gas station will send the metering data of the refueling of the vehicle to the finished oil tax co-governance management platform, which will be recorded as the second refueling amount. The second refueling amount is the actual metering data of the gas station for refueling the vehicle.

[0053] It is understandable that in order to prevent data leakage, the fuel dispenser will encrypt the second fueling amount data before uploading it. For example, it can be encrypted using a symmetric encryption algorithm or an asymmetric encryption algorithm. After receiving the encrypted second fueling amount data, the finished oil tax co-governance management platform decrypts it to obtain the second fueling amount.

[0054] After obtaining the second refueling amount, the refined oil tax co-governance management platform will compare the first refueling amount with the second refueling amount uploaded by the gas pump, and calculate the error value between the first and second refueling amounts.

[0055] Theoretically, since there is a period of time when the staff lifts and releases the oil gun without refueling, there will be a difference between the first refueling amount and the second refueling amount. The difference is measured multiple times and the average value is calculated to obtain a reference error. In this embodiment, the reference error is recorded as L. Generally speaking, the first refueling amount is greater than or equal to the second refueling amount.

[0056] In this embodiment, the first refueling amount is defined as a, the second refueling amount is defined as b, and the reference error is defined as L, and the error value E=(ab) / L*100%.

[0057] Step S150: if the error value is less than or equal to a preset threshold, a tax return form is generated according to the second refueling amount.

[0058] Specifically, the threshold range of the error value can be calculated and set according to the actual situation, and this embodiment does not impose specific restrictions on the specific value of the threshold. If the error value calculated by the refined oil tax co-governance management platform is less than or equal to the preset threshold, the actual measurement data uploaded by the gas station is considered to be the real refueling measurement data, and the refined oil tax co-governance management platform generates a tax return form based on the second refueling amount and sends it to the tax department for tax reporting.

[0059] It is understandable that the second refueling amount can also be stored in a database, and when the monthly settlement is made, the data of all the second refueling amounts reported by all the gas dispensers in the gas station for that month can be summarized to calculate the total monthly refueling amount of the gas station, and then a tax return form can be generated based on the total monthly refueling amount and sent to the tax department for monthly tax reporting processing.

[0060] In this embodiment, the statistical method for the joint management of refined oil tax revenue may further include:

[0061] Step S160: If the error value is greater than a preset threshold, the first refueling amount, the second refueling amount, the error value, characteristic information of the refueling vehicle, refueling machine information and video images are sent to a monitoring terminal.

[0062] If the error value calculated by the refined oil tax co-governance management platform is greater than the preset threshold, it is considered that there is a problem with the actual measurement data uploaded by the gas station, and manual supervision and verification is required. At this time, the refined oil tax co-governance management platform will send the first refueling volume, the second refueling volume, the error value, the characteristic information of the refueling vehicle, the gas station information and the video image to the supervision terminal. After the supervisor downloads and obtains the above information through the supervision terminal, manual supervision, verification and investigation will be carried out to confirm the actual refueling volume of this refueling transaction and check the gas station.

[0063] In summary, the method provided in the embodiment of the present invention is implemented to accurately identify and calculate the refueling time of the refueling vehicle and the information of the gas station that refuels the vehicle by identifying the video images from the time the refueling vehicle enters the gas station to the time the refueling vehicle exits the gas station, calculate the first refueling amount by the gas station information and the refueling time, and compare the first refueling amount with the second refueling amount uploaded by the gas station to calculate the error value. If the error value is less than or equal to a preset threshold, generate a tax return form based on the second refueling amount.

[0064] By implementing this method, the supervision platform can monitor the gas station's fuel volume, fuel amount and other key information in real time, ensuring the real-time and accuracy of tax data, thereby effectively avoiding gas stations from evading taxes through cheating at gas pumps. At the same time, the supervision platform also supports the query and export of historical tax data, providing comprehensive data support for the tax department.

[0065] Based on the same inventive concept, in the second aspect, the embodiment of the present invention also provides a refined oil tax co-governance statistics system. Figure 3 As shown, the system may specifically include an image acquisition module 201 , an image recognition module 202 , a refueling calculation module 203 , an error calculation module 204 , a tax declaration module 205 and an error warning module 206 .

[0066] Among them, the image acquisition module 201 is used to obtain video images of the refueling vehicle from entering the gas station to leaving the gas station. The image recognition module 202 is used to identify the video image, confirm the characteristic information of the refueling vehicle, the information of the refueling machine that refuels the refueling vehicle, and the refueling time. The refueling calculation module 203 is used to calculate the first refueling amount based on the refueling machine information and the refueling time. The error calculation module 204 is used to compare the first refueling amount with the second refueling amount uploaded by the refueling machine to calculate the error value. The tax declaration module 205 is used to generate a tax declaration form based on the second refueling amount if the error value is less than or equal to a preset threshold.

[0067] In this embodiment, cameras are installed at the gas station entrance, gas station exit and inside the gas station, and the corresponding cameras can capture video images of the refueling vehicle from entering the gas station to leaving the gas station. The image acquisition module 201 acquires the video images of the refueling vehicle from entering the gas station to leaving the gas station through the camera.

[0068] To prevent data leakage, the camera will encrypt the video image before uploading it. For example, a symmetric encryption algorithm or an asymmetric encryption algorithm can be used for encryption. After receiving the encrypted video image, the image acquisition module 201 decrypts it to obtain the video image.

[0069] After the image acquisition module 201 obtains the video image of the refueling vehicle from entering the gas station to leaving the gas station, the image recognition module 202 calls the preset AI image recognition model to recognize the video image, and obtains the characteristic information of the refueling vehicle, the information of the gas station that refuels the refueling vehicle, and the refueling time from the video image.

[0070] In this embodiment, the characteristic information of the refueling vehicle includes the license plate number, and may also include information such as the model, color, and brand of the refueling vehicle.

[0071] In this embodiment, the fuel dispenser information includes the fuel dispenser number. The AI ​​image recognition model determines the refueling start time and refueling end time by identifying the worker's actions of raising and lowering the fuel gun of the fuel dispenser in the video image, and uses the time period between the refueling start time and the refueling end time as the refueling duration.

[0072] Specifically, the refueling calculation module 203 is used to: obtain the fuel gun flow rate according to the fuel dispenser information query; and calculate the first refueling amount according to the fuel gun flow rate and refueling time.

[0073] Specifically, after the image recognition module 202 obtains the fuel dispenser number through the AI ​​image recognition model, the fuel calculation module 203 queries and obtains the fuel gun flow of the fuel dispenser from the pre-stored fuel dispenser information table, and then calculates the first fueling amount according to the product of the fuel gun flow and the fueling time. The first fueling amount is the current fueling amount of the refueling vehicle calculated by the fuel calculation module 203.

[0074] After the staff puts back the fuel gun of the fuel dispenser, the fuel dispenser sends the metering data of the fueling of the vehicle to the error calculation module 204, which is recorded as the second fueling amount. The second fueling amount is the actual metering data of the fuel dispenser for the vehicle.

[0075] It is understandable that, in order to prevent data leakage, the fuel dispenser will encrypt the second fueling amount data before uploading the second fueling amount data. For example, a symmetric encryption algorithm or an asymmetric encryption algorithm may be used for encryption. After receiving the encrypted second fueling amount data, the error calculation module 204 decrypts it to obtain the second fueling amount.

[0076] After acquiring the second refueling amount, the error calculation module 204 compares the first refueling amount with the second refueling amount uploaded by the refueling machine, and calculates the error value between the first refueling amount and the second refueling amount.

[0077] Theoretically, since there is a period of time when the staff lifts and releases the oil gun without refueling, there will be a difference between the first refueling amount and the second refueling amount. The difference is measured multiple times and the average value is calculated to obtain a reference error. In this embodiment, the reference error is recorded as L. Generally speaking, the first refueling amount is greater than or equal to the second refueling amount.

[0078] In this embodiment, the first refueling amount is defined as a, the second refueling amount is defined as b, and the reference error is defined as L, and the error value E=(ab) / L*100%.

[0079] Specifically, the threshold range of the error value can be calculated and set according to the actual situation, and the present embodiment does not impose any specific restrictions on the specific value of the threshold. If the error value calculated by the error calculation module 204 is less than or equal to the preset threshold, the actual measurement data uploaded by the gas station is considered to be the real fuel measurement data, and the tax declaration module 205 generates a tax declaration form based on the second fueling amount and sends it to the tax department for tax declaration processing.

[0080] It is understandable that the second refueling amount can also be stored in a database, and when the monthly settlement is made, the data of all the second refueling amounts reported by all the gas dispensers in the gas station for that month can be summarized to calculate the total monthly refueling amount of the gas station, and then a tax return form can be generated based on the total monthly refueling amount and sent to the tax department for monthly tax reporting processing.

[0081] The error warning module 206 is used to send the first refueling amount, the second refueling amount, the error value, the characteristic information of the refueling vehicle, the refueling machine information and the video image to the supervision terminal if the error value is greater than a preset threshold.

[0082] It is understandable that if the error value calculated by the refined oil tax co-governance management platform is greater than the preset threshold, it is considered that there is a problem with the actual measurement data uploaded by the gas station, and manual supervision and verification is required. At this time, the refined oil tax co-governance management platform will send the first refueling volume, the second refueling volume, the error value, the characteristic information of the refueling vehicle, the gas station information and the video image to the supervision terminal. After the supervisor downloads and obtains the above information through the supervision terminal, manual supervision, verification and investigation will be carried out to confirm the actual refueling volume of this refueling transaction and check the gas station.

[0083] Furthermore, an embodiment of the present invention also provides a readable storage medium storing a computer program, wherein the computer program includes program instructions, and when the program instructions are executed by a processor, the above-mentioned statistical method for the joint governance of refined oil taxation is implemented.

[0084] The computer-readable storage medium may be an internal storage unit of the background server described in the aforementioned embodiment, such as a hard disk or memory of the system. The computer-readable storage medium may also be an external storage device of the system, such as a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (SecureDigital, SD) card, a flash card (Flash Card), etc. equipped on the system. Furthermore, the computer-readable storage medium may also include both an internal storage unit of the system and an external storage device. The computer-readable storage medium is used to store the computer program and other programs and data required by the system. The computer-readable storage medium may also be used to temporarily store data that has been output or is to be output.

[0085] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the composition and steps of each example have been generally described in terms of function in the above description. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

[0086] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0087] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention is essentially or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk and other media that can store program codes.

[0088] The above is only a specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can easily think of various equivalent modifications or replacements within the technical scope disclosed by the present invention, and these modifications or replacements should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention shall be based on the protection scope of the claims.

Claims

1. A statistical method for the joint management of refined oil taxation, characterized in that: include: Acquire video images of a refueling vehicle from entering a gas station to leaving the gas station; Identify the video image to confirm feature information of the refueling vehicle, information of the refueling machine refueling the refueling vehicle, and refueling duration; Calculating a first refueling amount according to the refueling machine information and the refueling duration; Compare the first refueling amount with the second refueling amount uploaded by the refueling machine, and calculate an error value; If the error value is less than or equal to a preset threshold, a tax return form is generated according to the second refueling amount.

2. A statistical method for the joint management of refined oil taxation as claimed in claim 1, characterized in that: The characteristic information of the refueling vehicle includes a license plate number.

3. A statistical method for the joint management of refined oil taxation as claimed in claim 1, characterized in that: Calculating a first refueling amount according to the refueling machine information and the refueling duration includes: Obtaining the fuel gun flow rate according to the fuel dispenser information query; The first refueling amount is calculated based on the oil gun flow rate and the refueling time.

4. A statistical method for the joint management of refined oil taxation as claimed in claim 1, characterized in that: If the error value is greater than a preset threshold, the first refueling amount, the second refueling amount, the error value, the characteristic information of the refueling vehicle, the refueling machine information and the video image are sent to the supervision terminal.

5. A statistical method for the joint management of refined oil taxation as claimed in claim 1, characterized in that: The video image and the second refueling amount uploaded by the refueling machine are both encrypted data.

6. A finished oil tax co-governance statistics system, characterized in that: include: An image acquisition module is used to acquire video images of a refueling vehicle from entering a gas station to leaving the gas station; An image recognition module is used to recognize the video image, confirm the characteristic information of the refueling vehicle, the information of the refueling machine refueling the refueling vehicle, and the refueling time; A refueling calculation module, used to calculate a first refueling amount according to the refueling machine information and the refueling duration; an error calculation module, used to compare the first refueling amount with the second refueling amount uploaded by the refueling machine to calculate an error value; A tax declaration module is used to generate a tax declaration form according to the second refueling amount if the error value is less than or equal to a preset threshold.

7. A finished oil tax co-governance statistics system as claimed in claim 6, characterized in that: The characteristic information of the refueling vehicle includes a license plate number.

8. A finished oil tax co-governance statistics system as claimed in claim 6, characterized in that: The refueling calculation module is used to: Obtaining the fuel gun flow rate according to the fuel dispenser information query; The first refueling amount is calculated based on the oil gun flow rate and the refueling time.

9. A refined oil taxation co-governance statistics system as claimed in claim 6, characterized in that: The system further comprises: The error warning module is used to send the first refueling amount, the second refueling amount, the error value, the characteristic information of the refueling vehicle, the refueling machine information and the video image to the supervision terminal if the error value is greater than a preset threshold.

10. A refined oil taxation co-governance statistics system as claimed in claim 6, characterized in that: The video image and the second refueling amount uploaded by the refueling machine are both encrypted data.

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