A method and system for verifying the authenticity of oil product input tax deduction business

Abstract

The application provides a kind of oil product input tax deduction business authenticity checking method and system, relate to financial management field, including: determining maximum fuel filling amount;Electronic fence verification: determine the electronic fence range of vehicle in gas station, then pass verification;Fuel filling process verification: actual refueling information is consistent with ordering information and does not exceed maximum fuel filling amount, then pass verification;Trajectory verification: the position relationship between the driving trajectory of vehicle and vehicle, driver and gas station is verified;Fuel filling amount verification: confirm the fuel quantity before and after fuel filling;Liquid level change verification: calculate the actual fuel increase, according to the comparison between the actual fuel increase and the corresponding data in ordering information, determine that the error value is within the preset range, then pass verification.The application provides a more accurate and fair oil product deduction mechanism, reduces manual operation and error, improves the accuracy and efficiency of oil product deduction process.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of financial management, and in particular, relates to a method and system for verifying the authenticity of oil product input tax deduction business. BACKGROUND

[0002] With the development of digital economy, network freight transportation has gradually emerged. Based on the core of vehicle and cargo matching, network freight transportation has explored various formats, such as providing digital energy, ETC, financial, non-oil and other post-service, using new technology to transform the whole value chain of freight transportation, and playing an important value in improving the experience of upstream and downstream users, perfecting the industry tax chain, and improving the efficiency of logistics. However, in actual operation, network freight transportation platforms face some challenges. Due to the existence of layer-by-layer subcontracting of logistics in the logistics industry, and most of the actual carriers are individual transporters, there are many problems in the input tax deduction business of oil products. In the current field of oil product transaction and management, oil product logical deduction as an important financial management link, its efficiency and accuracy are directly related to the operating cost and tax compliance of enterprises. However, the existing oil product logical deduction technology still has many shortcomings in actual application, which not only limits the improvement of oil product management level, but also increases the operating risk of enterprises. The existing oil product deduction technology mainly has the following defects: (1) Limitations of data collection and processing: relying on limited data sources and manually entered data, these data may be affected by human errors, negligence or delays. In addition, the technology itself may have limitations in data processing capacity, unable to handle large-scale or complex data sets. This limitation leads to the possibility of inaccurate or incomplete data collection, which in turn affects the accuracy and compliance of oil product deduction. Inaccurate data may lead to incorrect deduction decisions, while incomplete data may miss critical information, affecting the completeness of the deduction.(2) Limitations of logical judgment system: the oil product deduction logical judgment system may make decisions based on pre-set rules and algorithms, but these rules and algorithms may not fully cover all actual situations and edge cases. In addition, the system may lack sufficient flexibility to adapt to changes in regulations and adjustments in business models. This limitation may lead to incorrect judgments by the system in certain situations, i.e. misjudgment (incorrectly identifying oil products that do not meet the deduction conditions as deductible) or omission (missing oil products that meet the deduction conditions). Both of these situations can adversely affect the financial and tax status of enterprises.(3) Technical integration and compatibility issues: oil product deduction technology may need to be integrated with other business systems (such as ERP systems, financial systems, etc.) to achieve data sharing and process automation. However, differences in technical architecture, data format and interface standards between different systems may cause compatibility problems during integration. These problems may make the operation of oil product deduction technology complex, increase the learning cost and maintenance difficulty of users. At the same time, the transmission and processing of data between different systems may be affected by delays or errors, thereby reducing the efficiency of the entire process.(4) Supervision and compliance challenges: oil product deduction involves complex tax regulations and regulatory requirements, which may vary by region, industry and time. The existing oil product deduction technology may not fully adapt to these changes, resulting in failure to meet regulatory requirements in certain situations.This inadaptation can lead to enterprises facing the risk of violating regulations, including being fined by the tax department, affecting the reputation of the enterprise, etc. In addition, the constant changes in regulatory requirements may require enterprises to constantly update and upgrade their oil product deduction technology, increasing the operating costs and maintenance burden of enterprises.

[0003] Therefore, how to improve the accuracy of oil product input tax deduction business and improve management efficiency has become a technical problem to be solved. SUMMARY

[0004] The present application aims to at least solve one of the technical problems existing in the prior art or related art, and discloses a method and system for verifying the authenticity of oil product input tax deduction business, which uses vehicle terminal positioning, vehicle video, vehicle trajectory, OBD, oil / gas volume sensor and other multi-source data for verification to ensure the authenticity of oil product input tax deduction business, reduce fraud and errors, and improve the efficiency and fairness of management.

[0005] The first aspect of the present application discloses a method for verifying the authenticity of oil product input tax deduction business, comprising: determining the maximum fuel filling amount: calculating the maximum fuel filling amount of a single transport order according to the fuel price, the fuel consumption per 100 kilometers of the vehicle, the trip of the single transport order and the freight; electronic fence verification: determining whether the vehicle is within the electronic fence range of the gas station according to the vehicle positioning data, if so, passing the verification and recording the time when the vehicle enters the electronic fence and the time when the vehicle exits the electronic fence; fuel filling process verification: after passing the electronic fence verification, allowing to place an order for refueling; and collecting the image of the fuel dispenser display panel to identify the actual refueling information; comparing the actual refueling information with the information filled when placing the order for refueling, if the actual refueling information is consistent with the order information and does not exceed the maximum fuel filling amount, passing the verification; trajectory verification: confirming that the vehicle passes through the gas station and confirming that the vehicle is within the range of the gas station when refueling according to the trajectory information uploaded by the vehicle-mounted device; confirming that the three are within a certain range according to the coordinate information of the gas station, the vehicle positioning information and the driver positioning information; determining that the vehicle driving trajectory matches the positioning information according to the driving-in and driving-out trajectories before and after fuel filling, and the coordinate information of the gas station, the vehicle positioning information and the driver positioning information; fuel filling amount verification: taking the accurate time when the vehicle enters and exits the electronic fence of the gas station as the query condition, obtaining the accurate fuel quantity data of the vehicle before fuel filling through the sensor and data acquisition system built-in the vehicle terminal; after the fuel filling operation is completed, taking the completion time as the key query basis, obtaining the accurate fuel quantity data after fuel filling through the vehicle terminal again; liquid level change verification: calculating the actual fuel increase according to the fuel quantity before fuel filling and the fuel quantity after fuel filling; determining that the error value is within the preset range according to the comparison of the actual fuel increase and the corresponding data in the order information, and passing the verification.

[0006] In the technical solution, a more accurate and fair oil deduction mechanism verification method is provided, forming a complete evidence chain to ensure that freight enterprises and drivers can obtain reasonable oil cost discounts based on their actual operating conditions. It helps to encourage freight practitioners to improve transportation efficiency, adopt environmentally friendly vehicles and transport specific goods, and promote the optimization and sustainable development of the freight industry. Through intelligent data collection and calculation, manual operation and errors are reduced, and the accuracy and efficiency of the oil deduction process are improved. It is convenient to use data analysis to continuously optimize the deduction rules to adapt to market changes and industry development needs. Specifically:

[0007] Determine the maximum fuel filling amount: according to the fuel price, the fuel consumption per 100 kilometers of the vehicle, and the trip of the single order, calculate the maximum fuel filling amount of the single order;

[0008] Electronic fence verification: with the help of high-precision vehicle positioning system to obtain real-time positioning data, using advanced geographic fence technology, taking the coordinates of gas stations as the core, accurately setting the electronic fence range. By comparing the vehicle position and the electronic fence boundary in real time, it can accurately determine whether the vehicle is within the electronic fence range of the gas station. Once the vehicle enters, the intelligent timing system is started immediately to accurately record the time when the vehicle enters the electronic fence. When the vehicle leaves, the leaving time is also accurately recorded, providing strong time dimension evidence for the integrity and authenticity of the fuel filling process;

[0009] Fuel filling process verification: after the electronic fence verification is successfully passed, the order filling operation is allowed. At this time, advanced image recognition technology and intelligent collection equipment are combined to collect and accurately identify the image of the fuel dispenser display panel, obtain the actual fueling information, including fueling amount, unit price, amount, and other key data. Using efficient data comparison algorithm, these actual fueling information and the information filled when ordering fueling are compared bit by bit to ensure that they are highly consistent, and the actual fueling amount is strictly controlled not to exceed the maximum fuel filling amount calculated in advance, thereby ensuring the authenticity and compliance of the fueling information from the operation process level;

[0010] Track verification: relying on the high-precision positioning module and advanced track recording system carried by the vehicle-mounted device, real-time uploading of vehicle driving track information, using intelligent track analysis algorithm to accurately confirm whether the vehicle passes through the gas station, and accurately judging whether the vehicle is within the reasonable range of the gas station during fuel filling. At the same time, combined with the coordinate information of the gas station, the vehicle positioning information and the driver positioning information, through the advanced distance calculation model, the distance between the three is ensured to be within the strictly set safe and reasonable range. For the driving-in and driving-out tracks before and after fuel filling, a complex track matching algorithm is used to deeply compare and judge the coordinate information of the gas station, the vehicle positioning information and the driver positioning information, to ensure that the vehicle driving track and the positioning information are highly matched in time, space and logic, and to provide all-round track evidence support for the authenticity of oil filling;

[0011] Fuel filling amount verification: taking the accurate time of the vehicle entering and leaving the electronic fence of the gas station as the query condition, obtaining the accurate fuel quantity data of the vehicle before fuel filling through the high-performance sensor and intelligent data acquisition system built in the vehicle terminal. After the completion of the fuel filling operation, the accurate fuel quantity data after fuel filling is obtained again through the vehicle terminal based on the completion time as the key query basis, to provide reliable basic data support for subsequent liquid level change verification, and to ensure the accuracy of the calculation of the fuel filling amount;

[0012] Liquid level change verification: according to the accurate fuel quantity data obtained before and after fuel filling of the vehicle, the actual increase of fuel is calculated by using accurate calculation logic. The actual increase is compared with the corresponding data in the order information, and an advanced fuel prediction model is introduced, which is based on a large amount of historical data and real-time operation parameters to dynamically correct the fuel data. Through strict error evaluation algorithm, it is determined that the error value is within the preset strict range, so as to further verify the authenticity and accuracy of oil filling from the perspective of fuel liquid level change.

[0013] According to the oil product input tax deduction business authenticity verification method disclosed by the application, preferably, further comprising: collecting vehicle positioning data, vehicle energy consumption data, vehicle video data, fueling data and shipping data as verification elements; transmitting the collected verification element related data to the server in real time through the mobile network.

[0014] According to the oil product input tax deduction business authenticity verification method disclosed by the application, preferably, further comprising: data cleaning and data integration of the collected vehicle positioning data, vehicle energy consumption data, vehicle video data, fueling data and shipping data.

[0015] According to the oil product input tax deduction business authenticity verification method disclosed by the application, preferably, further comprising: after all the verifications, calculating the shipping deduction ratio according to the formula: fueling amount / transportation cost, and issuing an invoice through the gas station.

[0016] According to the oil tax deduction business authenticity verification method disclosed in the application, preferably, after the waybill is verified, the tax is reported through the enterprise tax system.

[0017] According to the oil tax deduction business authenticity verification method disclosed in the application, preferably, the step of calculating the maximum fuel filling amount of a single waybill specifically comprises: after receiving the waybill information and the refueling request of the driver, the distance between the starting point and the destination of the waybill is calculated, and the maximum amount is a certain proportion of the freight, and the maximum refueling amount or gas filling amount of the waybill is calculated through the fuel consumption data of the vehicle per 100 kilometers, and the specific calculation process comprises: determining the average fuel consumption of the vehicle: according to the past driving records and refueling data of the vehicle, the actual average fuel consumption is calculated as x liters of fuel or gas per 100 kilometers; determining the distance between the starting point and the destination: the actual driving distance d kilometers between the two places is obtained according to the map software or navigation tool; obtaining the local fuel price p yuan per liter at that time; obtaining the freight information w;

[0018] According to the formula:

[0019] (maximum filling amount x p)≤w x set proportion;

[0020] Maximum filling amount=(d÷100) x x;

[0021] According to the above two formulas:

[0022] According to [(d÷100) x x x p]≤w x set proportion, the maximum refueling amount or maximum gas filling amount that meets the set proportion limit of the freight can be calculated.

[0023] In this technical solution, the calculation of the maximum refueling (gas) amount limited by the set proportion of the freight will be more complex, because it involves real-time changes in oil prices and specific freight amounts. Oil prices may fluctuate with region and time, so the local oil price at that time needs to be obtained. The freight amount needs to be determined according to the specific transportation contract or negotiation.

[0024] According to the oil tax deduction business authenticity verification method disclosed in the application, preferably, the distance between the three is confirmed to be not more than the preset distance according to the gas station coordinate information, the vehicle positioning information and the driver positioning information.

[0025] According to the oil tax deduction business authenticity verification method disclosed in the application, preferably, based on the machine learning algorithm, a large amount of normal data is learned to establish an oil tax deduction business data authenticity verification model to identify abnormal data patterns.

[0026] According to the oil VAT deduction business authenticity verification method disclosed by the application, preferably, the fuel includes oil and gas, and the refueling includes oil refueling and gas refueling.

[0027] The second aspect of the application discloses an oil VAT deduction business authenticity verification system, comprising: a memory for storing program instructions; and a processor for calling the program instructions stored in the memory to implement the oil VAT deduction business authenticity verification method according to any of the above technical solutions.

[0028] The application has at least the following beneficial effects:

[0029] 1. Optimizing transaction process: In the traditional oil transaction process, the reconciliation, accounting and other links are complicated and prone to errors. The application introduces an intelligent and automated deduction mechanism to simplify the transaction process and reduce manual intervention, thereby improving transaction efficiency.

[0030] 2. Improve data accuracy: Establish a rigorous oil logical deduction rule system to ensure accurate and error-free transaction data. This not only reduces economic losses caused by data errors, but also improves the scientificity and effectiveness of decision-making.

[0031] 3. Strengthen compliance management: Through the compliance verification mechanism, help enterprises automatically identify and correct irregularities to ensure the legality and compliance of transaction activities.

[0032] 4. Enhance market competitiveness: By implementing the technical solutions provided by the application, enterprises can gain a significant advantage in improving transaction efficiency, reducing costs, and improving data accuracy, thereby standing out in the fierce market competition. BRIEF DESCRIPTION OF DRAWINGS

[0033] Figure 1 A flowchart of an oil VAT deduction business authenticity verification method according to an embodiment of the application is shown.

[0034] Figure 2 A schematic block diagram of an oil VAT deduction business authenticity verification system according to an embodiment of the application is shown. DETAILED DESCRIPTION

[0035] In order to more clearly understand the above-mentioned purposes, features and advantages of the application, the application will be further described in detail below in combination with the drawings and specific embodiments. In the following description, a large number of specific details are set forth in order to facilitate a full understanding of the application, but the application can also be implemented in other ways different from those described herein, therefore, the application is not limited to the specific embodiments disclosed below.

[0036] As Figure 1As shown, according to one embodiment of the present application, the authenticity verification method of the oil product input tax deduction business disclosed by the present application comprises:

[0037] Step S101, determining the maximum fuel filling amount: according to the fuel price, the fuel consumption per 100 kilometers of the vehicle, the trip of the single delivery order and the freight, and taking a certain proportion of the freight as the upper limit, the maximum fuel filling amount of the single delivery order is calculated;

[0038] Step S102, electronic fence verification: according to the vehicle positioning data, it is determined whether the vehicle is within the electronic fence range of the gas station, and if so, the verification is passed, and the time when the vehicle enters the electronic fence and the time when the vehicle exits the electronic fence are recorded;

[0039] Step S103, fuel filling process verification: after passing the electronic fence verification, the order for refueling is allowed; the image of the display panel of the fuel dispenser is collected, and the actual refueling information is identified; the actual refueling information is compared with the information filled in when ordering refueling, and if the actual refueling information is consistent with the ordering information and does not exceed the maximum fuel filling amount, the verification is passed;

[0040] Step S104, trajectory verification: according to the trajectory information uploaded by the vehicle-mounted device, it is confirmed that the vehicle passes through the gas station and that the vehicle is within the range of the gas station when refueling; according to the coordinate information of the gas station, the vehicle positioning information and the driver positioning information, it is confirmed that the three are within a certain range; according to the driving-in and driving-out trajectories before and after fuel filling, as well as the coordinate information of the gas station, the vehicle positioning information and the driver positioning information, it is determined that the vehicle driving trajectory matches the positioning information;

[0041] Step S105, fuel filling amount verification: taking the time when the vehicle enters and exits the electronic fence of the gas station as the query condition, the fuel quantity data is obtained through the vehicle-mounted terminal to determine the fuel quantity before fuel filling; taking the fuel filling completion time as the query condition, the fuel quantity data is obtained through the vehicle-mounted terminal to confirm the fuel quantity after fuel filling;

[0042] Step S106, liquid level change verification: according to the fuel quantity before fuel filling and the fuel quantity after fuel filling, the actual fuel increase is calculated; according to the comparison of the actual fuel increase and the corresponding data in the ordering information, it is determined that the error value is within the preset range, and the verification is passed.

[0043] Step S107, issuing an invoice: after passing all the verifications, the delivery order deduction proportion is calculated according to the formula: fueling amount / freight cost, and an invoice is issued through the gas station end.

[0044] Step S108, reporting the delivery order: after the delivery order passes the verification, the tax reporting is completed through the enterprise tax system.

[0045] In this embodiment, various data sources such as vehicle terminal positioning, vehicle video, vehicle trajectory, OBD, parking point, oil / gas sensor, actual refueling amount of oil / gas station, etc. are integrated and comprehensively analyzed to accurately evaluate the operation and fuel consumption of the vehicle. The intelligent and automated deduction mechanism is introduced to simplify the transaction process and reduce manual intervention, thereby improving the transaction efficiency. Through modular design, independent development and flexible combination of each link can be realized to meet the individual needs of different enterprises.

[0046] According to the authenticity verification method of the oil product input tax deduction business disclosed in the above embodiment, preferably, the vehicle positioning data, vehicle energy consumption data, vehicle video data, refueling data and waybill data are collected as verification elements; the collected verification element related data is transmitted to the server in real time through the mobile network.

[0047] According to the authenticity verification method of the oil product input tax deduction business disclosed in the above embodiment, preferably, the collected vehicle positioning data, vehicle energy consumption data, vehicle video data, refueling data and waybill data are subjected to data cleaning and data integration.

[0048] According to the authenticity verification method of the oil product input tax deduction business disclosed in the above embodiment, preferably, the step of calculating the maximum fuel filling amount of a single waybill comprises: after receiving the waybill information and refueling request of the driver, calculating the distance between the starting point and the destination according to the starting point and the destination of the waybill, and taking a certain proportion of the freight as the maximum amount, and calculating the maximum refueling amount or gas amount of the waybill through the vehicle's fuel consumption data per 100 kilometers, the specific calculation process comprising:

[0049] Determine the average fuel consumption of the vehicle: according to the past driving records and refueling data of the vehicle, the actual average fuel consumption is calculated as x liters of oil or gas per 100 kilometers;

[0050] Determine the distance between the starting point and the destination: according to the map software or navigation tool, the actual driving distance d kilometers between the two places is obtained;

[0051] Obtain the local fuel price p yuan per liter at that time;

[0052] Obtain the freight information w;

[0053] According to the formula:

[0054] (maximum filling amount x p) ≤ w x set proportion;

[0055] Maximum filling amount = (d ÷ 100) x x;

[0056] Solve the above two formulas:

[0057] According to the set proportion of [(d / 100) * x * p] <= w, the maximum refueling amount or the maximum refueling amount that meets the freight set proportion limit can be calculated.

[0058] According to the oil product input tax deduction business authenticity verification method disclosed in the above embodiment, preferably, the distance among the gas station coordinate information, the vehicle positioning information and the driver positioning information is confirmed to be within a set range.

[0059] According to the oil product input tax deduction business authenticity verification method disclosed in the above embodiment, preferably, based on a machine learning algorithm, a large amount of normal data is learned, and an oil product input tax deduction business data authenticity verification model is established to identify abnormal data patterns.

[0060] According to another embodiment of the present application, the implementation of the oil product input tax deduction business authenticity verification method in the above embodiment in an actual application scenario is also disclosed.

[0061] In order to accurately realize the verification of the oil product deduction logic, related data such as mobile phone positioning, vehicle terminal positioning, vehicle video, vehicle trajectory, gas station coordinates, OBD, parking point, oil / gas volume sensor, and actual refueling amount of the oil / gas station will be verified, and according to the login mode, it is divided into operation end, enterprise end, gas station end and tax end. The following is the implementation steps:

[0062] Data collection:

[0063] Mobile phone positioning: through the positioning function on the driver's mobile phone, real-time positioning data is obtained, which is one of the main verification elements.

[0064] Vehicle terminal: through the positioning terminal device installed on the vehicle, the position, trajectory data, speed, oil volume, electronic fence of the vehicle are provided, which is the second main verification element.

[0065] Oil / gas volume or OBD sensor: real-time detection of the change of the fuel or gas capacity of the vehicle tank, which is the third main verification element.

[0066] Vehicle video: install a video terminal, point the camera to the vehicle oil / gas tank area, and obtain the actual refueling video when the vehicle is refueled, which is the fourth auxiliary verification element.

[0067] Driver refueling data: after selecting a gas station to refuel in the app, the driver's refueling data is generated, including gas station coordinates, refueling amount, refueling time, etc., which is the fifth main verification element.

[0068] Net freight bill data: when the driver picks up the goods on the net freight platform, the starting point, destination, distance between the two points, loading time, unloading time, freight, etc. Information is obtained, which is the sixth main verification element.

[0069] Host factory data: Obtain data of the vehicle from the vehicle host factory, including: time, positioning track, oil change data, used for main verification factor seven.

[0070] Data upload:

[0071] Use mobile network (4G / 5G) to transmit the collected data to the server in real time.

[0072] Data processing:

[0073] Clean, integrate and process the collected positioning, track, oil, refueling amount and host factory data.

[0074] Predicted maximum refueling amount:

[0075] After the driver fills up the gas / oil through the app, according to the starting point and destination of the delivery order, the distance between the two places (kilometers) is calculated, and the maximum amount is a certain percentage of the freight. Through the past driving records and mileage consumption data of the vehicle, the maximum refueling (gas) amount of this delivery order is calculated, and a calculation method is adopted, as follows:

[0076] First, determine the average fuel consumption of the vehicle: According to the past driving records and refueling data of the vehicle, the actual average fuel consumption is calculated, for example, record several refueling amounts and corresponding driving mileage, use the formula: consumed oil amount ÷ driving mileage × 100 = 100 km fuel consumption.

[0077] Get the distance between the starting point and the destination: The actual driving distance between the two places can be determined using map software or navigation tools.

[0078] Calculate the maximum refueling (gas) amount: Assuming that the average fuel consumption of the vehicle is x liters of oil (gas) per 100 kilometers, and the distance between the starting point and the destination is d kilometers, then the maximum refueling (gas) amount = (d ÷ 100) × x liters (gas amount).

[0079] However, the calculation of the maximum refueling (gas) amount based on a certain percentage of the freight as the maximum amount is more complex, as it involves real-time changes in oil prices and specific freight amounts.

[0080] Oil prices may fluctuate by region and time, so the local and current oil price needs to be obtained. The freight amount needs to be determined according to the specific transportation contract or negotiation.

[0081] Assuming that the oil price is p yuan per liter (or yuan per gas unit), and the freight is w yuan, then the following inequality can be listed to calculate the maximum refueling (gas) amount: (maximum refueling (gas) amount × p) ≤ w × set proportion

[0082] The formula for calculating the maximum refueling amount is substituted into the above inequality to obtain:

[0083] [(d ÷ 100) x x x p] ≤ w x set ratio;

[0084] Through this inequality, the maximum refueling amount that meets the freight set ratio limit can be calculated under the condition that the freight, oil price, distance between the starting point and the destination, and the average fuel consumption of the vehicle are known.

[0085] Gas station electronic fence information: The coordinates and price of each gas station are entered into the system. The electronic fence is centered on the coordinates of the gas station and sets the electronic fence range of each gas station according to the expected parameters (such as 300 meters).

[0086] Fueling verification: When the driver refuels, the coordinates at the time of ordering through the app are verified to see if they are within the electronic fence range of the gas station. If they are within the electronic fence range of the gas station, the time the vehicle enters the electronic fence and the time the vehicle exits the electronic fence are recorded before and after the vehicle refuels.

[0087] Order refueling: After the fueling verification is passed, refueling can be performed, and the refueling volume and amount are input. After refueling is completed, a photo of the fuel pump is taken through the app, and the refueling information on the photo, including the refueling volume, price, and amount, is automatically identified and compared with the actual input information. At the same time, it cannot exceed the "expected refueling amount" in the fourth item. Comparison is successful and payment can be made.

[0088] Three aspects of order verification:

[0089] Trajectory verification:

[0090] First, the trajectory information uploaded by the vehicle-mounted device is compared to see if the vehicle is within the range of the gas station during the refueling time and whether it passes through the gas station. In addition, the positioning coordinates of the person, vehicle, and gas station are verified to see if they are within the predetermined range. The pre-fueling and post-fueling trajectories are also matched to confirm that the person, vehicle, and station positioning information and trajectory information are highly matched.

[0091] Fueling amount verification:

[0092] First, the pre-fueling oil data of the vehicle is confirmed. The vehicle enters the electronic fence of the gas station as the query condition, and the pre-fueling oil data is confirmed through the vehicle-mounted terminal, speed, and oil data. The post-fueling oil data is also confirmed. The post-fueling oil data is confirmed through the vehicle-mounted terminal, speed, and oil data from the time of successful payment of refueling. The change in liquid level is compared:

[0093] The actual amount of fuel refueled is calculated using the formula: Fuel level after refueling - Fuel level before refueling = Actual fuel refueling amount. This calculated amount is then compared to the fuel level on the refueling order. If the difference is within the acceptable margin of error, the fuel level information has been successfully verified. A data analysis model is then established to comprehensively analyze the collected data and improve accuracy.

[0094] Deduction rules: After all verifications are successful, the deduction ratio of the waybill is calculated according to the formula: fuel amount / freight cost. At the same time, the invoice is issued through the gas station to ensure the authenticity and consistency of business flow and capital flow.

[0095] Waybill reporting: Tax reporting is completed through the enterprise's end.

[0096] By employing the above comprehensive technical means and management measures, we can effectively utilize multi-source data such as vehicle terminal positioning, vehicle video, vehicle trajectory, OBD, and fuel / gas volume sensors to ensure the authenticity of fuel deductions, reduce fraud and errors, and improve management efficiency and fairness.

[0097] like Figure 2 As shown, according to another embodiment of the present invention, an authenticity verification system 200 for oil input tax deduction business is also disclosed, comprising: a memory 201 for storing program instructions; and a processor 202 for calling the program instructions stored in the memory to implement the authenticity verification method for oil input tax deduction business as described in the above embodiment.

[0098] All or part of the steps in the various methods of the above embodiments can be implemented by a program controlling the relevant hardware. The program can be stored in a readable storage medium, including read-only memory (ROM), random access memory (RAM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), one-time programmable read-only memory (OTPROM), electrically-erasable programmable read-only memory (EEPROM), compact disc read-only memory (CD-ROM) or other optical disc storage, disk storage, magnetic tape storage, or any other readable medium that can be used to carry or store data.

[0099] The above merely provides the preferred embodiments of the present application, and is not used to limit the present application. For those skilled in the art, the present application can have various modifications and changes. Any modifications, equivalent replacements, improvements, etc. made within the principles and technical scope of the present application shall fall into the scope of the present application.

Claims

1. A method for verifying the authenticity of input tax deduction transactions for oil products, characterized in that, The method comprises the following steps: determining the maximum fuel filling amount: according to the fuel price, the fuel consumption per 100 kilometers of the vehicle, the trip of the single delivery order, and the freight, the maximum fuel filling amount of the single delivery order is calculated; electronic fence verification: according to the vehicle positioning data, it is determined whether the vehicle is within the electronic fence range of the gas station, and if so, the verification is passed, and the time when the vehicle enters the electronic fence and the time when the vehicle exits the electronic fence are recorded; fuel filling process verification: after passing the electronic fence verification, the vehicle is allowed to order refueling; the fuel dispenser display panel image is collected, and the actual refueling information is identified; the actual refueling information is compared with the information filled when ordering refueling, and if the actual refueling information is consistent with the ordering information and does not exceed the maximum fuel filling amount, the verification is passed; trajectory verification: according to the trajectory information uploaded by the vehicle-mounted device, it is confirmed that the vehicle passes through the gas station and that the vehicle is within the range of the gas station when refueling; according to the coordinate information of the gas station, the vehicle positioning information and the driver positioning information, it is confirmed that the three are within a certain range; according to the driving-in and driving-out trajectories before and after fuel filling, as well as the coordinate information of the gas station, the vehicle positioning information and the driver positioning information, it is determined that the vehicle driving trajectory matches the positioning information; fuel filling amount verification: taking the accurate time when the vehicle enters and exits the electronic fence of the gas station as the query condition, the accurate fuel amount data of the vehicle before fuel filling is obtained through the sensors and data acquisition system built-in the vehicle-mounted terminal; after the fuel filling operation is completed, the accurate fuel amount data after fuel filling is obtained again through the vehicle-mounted terminal based on the completion time as the key query basis; liquid level change verification: according to the fuel amount before fuel filling and the fuel amount after fuel filling of the vehicle, the actual fuel increase amount is calculated; according to the comparison of the actual fuel increase amount and the corresponding data in the ordering information, it is determined that the error value is within the preset range, and the verification is passed.

2. The method of claim 1, wherein the method further comprises: Further comprising: collecting vehicle positioning data, vehicle energy consumption data, vehicle-mounted video data, fueling data, and delivery order data as verification elements; transmitting the collected verification element related data to the server in real time through the mobile network.

3. The method of claim 2, wherein the method further comprises: Further comprising: performing data cleaning and data integration on the collected vehicle positioning data, vehicle energy consumption data, vehicle-mounted video data, fueling data, and delivery order data.

4. The method of claim 1, wherein the oil product excise tax deduction business authenticity verification method is characterized by, Further comprising: after passing all verifications, the delivery order deduction ratio is calculated according to the formula: fueling amount / freight cost, and an invoice is issued through the gas station end.

5. The method of claim 1, wherein the method further comprises: Further comprising: after the delivery order passes the verification, the tax reporting is completed through the enterprise tax system.

6. The method of claim 1, wherein the method further comprises: The step of calculating the maximum fuel filling amount of the single delivery order specifically comprises: after receiving the delivery order information and refueling request of the driver, the distance between the starting point and the destination of the delivery order is calculated, and the maximum refueling amount or gas filling amount of the delivery order is calculated based on the fuel consumption per 100 kilometers of the vehicle, the specific calculation process comprising: determining the average fuel consumption of the vehicle: according to the past driving records and fueling data of the vehicle, the actual average fuel consumption is calculated as x liters of fuel or gas per 100 kilometers; determining the distance between the starting point and the destination: the actual driving distance d kilometers between the two places is obtained according to the map software or navigation tool; Obtain the local fuel price p yuan per liter at that time; Obtain the freight information w; According to the formula: (maximum filling amount × p) ≤ w × set proportion; Maximum filling amount = (d ÷ 100) × x; Solve the above two formulas: According to [(d ÷ 100) × x × p] ≤ w × set proportion, the maximum fueling amount or the maximum gas filling amount can be calculated.

7. The method of claim 1, wherein the method further comprises: According to the gas station coordinate information, the vehicle positioning information and the driver positioning information, it is confirmed that the distance among the three does not exceed the preset distance.

8. The method of claim 1 to 7, wherein Based on the machine learning algorithm, a large amount of normal data is learned, a fuel input tax deduction business data authenticity verification model is established to identify abnormal data patterns.

9. The method of claim 1 to 7, wherein, The fuel includes oil and gas, and the fueling includes fueling and gas filling.

10. A system for verifying the authenticity of input tax deduction for oil products, characterized in that, It includes: A memory for storing program instructions; A processor for calling the program instructions stored in the memory to implement the authenticity verification method of the fuel input tax deduction business according to any one of claims 1 to 9.

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