Method and system for verifying authenticity of oil product input tax deduction service

Abstract

The invention provides an authenticity verification method and system for an oil product input tax deduction business, and relates to the field of financial management, and the method comprises the steps: determining the maximum fuel filling amount; verifying the electronic fence: determining that the vehicle is within the range of the electronic fence of the gas station, and passing the verification; verifying the fuel filling process: if the actual fuel filling information is consistent with the order placing information and does not exceed the maximum fuel filling amount, passing the verification; track verification: verifying the vehicle driving track and the position relationship among the vehicle, the driver and the gas station; fuel filling quantity verification: confirming the fuel quantity before and after fuel filling; and liquid level change verification: calculating the actual fuel increment, and determining that an error value is within a preset range according to the comparison condition of the actual fuel increment and the corresponding data in the order placing information, so that verification is passed. A more accurate and fair oil deduction mechanism is provided, manual operation and errors are reduced, and the accuracy and efficiency of the oil deduction process are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of financial management, and more particularly, to a method and system for verifying the authenticity of input tax deduction business for oil products. Background Art

[0002] With the development of the digital economy, online freight transportation has gradually emerged. Based on the core of vehicle-cargo matching, online freight transportation has explored various business forms, such as providing digital after-sales services for vehicles, including energy, ETC, finance, non-oil products, etc., and using new technologies to transform the entire value chain of freight transportation, which has played an important role in enhancing the user experience of upstream and downstream, improving the industry's tax chain, and increasing logistics efficiency. However, in actual operation, online freight transportation platforms face some challenges. Due to the multi-level subcontracting of transportation capacity in the logistics industry and the fact that most actual carriers are individual transporters, there are many problems in the business of input tax deduction for oil products. In the current field of oil product trading and management, as an important financial management link, the efficiency and accuracy of oil product logical deduction are directly related to the operating costs and tax compliance of enterprises. However, there are still many deficiencies in the existing oil product logical deduction technical solutions in actual application. These problems not only limit the improvement of oil product management level but also increase the operating risks of enterprises. The existing oil product deduction technologies mainly have the following defects: (1) Limitations in data collection and processing: It relies on limited data sources and manually entered data, which may be affected by human errors, negligence, or delays. In addition, the technology itself may have limitations in data processing capabilities and cannot handle large-scale or complex data sets. This limitation results in the collected data being inaccurate or incomplete, thus affecting the accuracy and compliance of oil product deduction. Inaccurate data may lead to incorrect deduction decisions, while incomplete data may miss key information and affect the integrity of deduction. (2) Limitations in the logical judgment system: The oil product deduction logical judgment system may make decisions based on preset 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 the system making incorrect judgments in some cases, namely misjudgment (wrongly identifying oil products that do not meet the deduction conditions as deductible) or omission (omitting oil products that meet the deduction conditions). Both of these situations will have an adverse impact on the financial and tax situations 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, there may be differences in the technical architectures, data formats, and interface standards between different systems, resulting in compatibility issues during the integration process. These problems may make the operation of oil product deduction technology complex, increasing the learning cost and maintenance difficulty for users. At the same time, the transmission and processing of data between different systems may be affected by delays or errors, thus reducing the efficiency of the entire process. (4) Regulatory and compliance challenges: Oil product deduction involves complex tax regulations and regulatory requirements, which may vary by region, industry, and time. Existing oil product deduction technologies may not be fully able to adapt to these changes, resulting in the inability to meet regulatory requirements in some cases.Such inadaptability may lead to the enterprise facing compliance risks, including being fined by the tax department and affecting the enterprise's reputation. In addition, the continuous changes in regulatory requirements may also require the enterprise to continuously update and upgrade its oil product deduction technology, increasing the enterprise's operating costs and maintenance burdens.

[0003] Therefore, how to improve the accuracy of the input tax deduction business for oil products and enhance management efficiency has become a technical problem to be solved. Summary of the Invention

[0004] The present invention aims to solve at least one of the technical problems existing in the prior art or related technologies, and discloses a method and system for verifying the authenticity of the input tax deduction business for oil products. By using multi-source data such as vehicle terminal positioning, vehicle video, vehicle trajectory, OBD, fuel / oil volume sensors, etc. for verification, it ensures the authenticity of the input tax deduction business for oil products, reduces fraud and errors, and improves the efficiency and fairness of management.

[0005] The first aspect of the present invention discloses a method for verifying the authenticity of the input tax deduction business for oil products, including: determining the maximum fuel filling volume: calculating the maximum fuel filling volume for a single waybill according to the fuel price, the fuel consumption per 100 kilometers of the vehicle, the itinerary of a single waybill, and the freight; electronic fence verification: determining that the vehicle is within the electronic fence range of the gas station according to the vehicle positioning data, then 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 in when placing the order for refueling. If the actual refueling information matches the order information and does not exceed the maximum fuel filling volume, then it passes the verification; trajectory verification: according to the trajectory information uploaded by the vehicle-mounted device, confirming that the vehicle passes by the gas station and confirming that the vehicle is within the gas station range when refueling; confirming that the gas station coordinate information, vehicle positioning information, and driver positioning information are within a certain range; judging according to the driving-in and driving-out trajectories before and after fuel filling, as well as the gas station coordinate information, vehicle positioning information, and driver positioning information to determine that the vehicle driving trajectory matches the positioning information; fuel filling volume 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 volume data of the vehicle before fuel filling through the sensors and data acquisition system built in the vehicle terminal; after the refueling operation is completed, taking the completion time as the key query basis, and obtaining the accurate fuel volume data after fuel filling through the vehicle terminal again; liquid level change verification: calculating the actual increase in fuel according to the fuel volume of the vehicle before fuel filling and the fuel volume after fuel filling; determining that the error value is within the preset range according to the comparison of the actual increase in fuel with the corresponding data in the order information, then passing the verification.

[0006] In this technical solution, a verification method for a more accurate and fair oil product deduction mechanism is provided, forming a complete evidence chain to ensure that freight enterprises and drivers can obtain reasonable oil cost discounts according to their actual operation conditions. This 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 online goods freight industry. Through intelligent data collection and calculation, manual operations and errors are reduced, and the accuracy and efficiency of the oil product deduction process are improved. It is convenient to continuously optimize the deduction rules using data analysis to adapt to market changes and industry development needs. Specifically:

[0007] Determine the maximum fuel filling volume: Calculate the maximum fuel filling volume of the single-way bill according to the fuel price, the fuel consumption per 100 kilometers of the vehicle, and the itinerary of the single-way bill;

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

[0009] Fuel filling process verification: After the electronic fence verification is successfully passed, the operation of placing an order for refueling is allowed. At this time, combine advanced image recognition technology with intelligent acquisition equipment to perform high-definition acquisition and accurate recognition of the image of the fuel dispenser display panel, obtain actual refueling information, including key data such as refueling volume, unit price, and amount. Use an efficient data comparison algorithm to compare these actual refueling information bit by bit with the information filled in when placing the order for refueling to ensure that the two are highly consistent, and strictly control that the actual refueling volume does not exceed the pre-calculated maximum fuel filling volume, thus ensuring the authenticity and compliance of the refueling information from the operation process level;

[0010] Track verification: Relying on the high-precision positioning module and advanced track recording system installed in the vehicle-mounted device, the vehicle driving track information is uploaded in real time. Using intelligent track analysis algorithms, accurately confirm whether the vehicle passes by a gas station, and accurately judge whether the vehicle is within a reasonable range of the gas station when refueling. At the same time, combining the gas station coordinate information, vehicle positioning information, and driver positioning information, through an advanced distance calculation model, ensure that the distance between the three is within a strictly set safe and reasonable range. For the driving-in and driving-out tracks before and after fuel refueling, use complex track matching algorithms to deeply compare and judge with the gas station coordinate information, vehicle positioning information, and driver positioning information, ensuring that the vehicle driving track and positioning information are highly matched in terms of time, space, and logic, providing comprehensive track evidence support for the authenticity of oil product refueling;

[0011] Fuel filling volume verification: Taking the exact time when the vehicle enters and exits the gas station electronic fence as the query condition, through the high-performance sensors and intelligent data acquisition system built into the vehicle-mounted terminal, obtain the accurate fuel volume data of the vehicle before fuel refueling. After the refueling operation is completed, taking the completion time as the key query basis, obtain the accurate fuel volume data after fuel refueling through the vehicle-mounted terminal again, providing reliable basic data support for subsequent liquid level change verification to ensure the accurate calculation of the fuel filling volume;

[0012] Liquid level change verification: According to the accurate fuel volume data obtained by the vehicle before and after fuel refueling, calculate the actual increase in fuel using precise calculation logic. Carefully compare this actual increase with the corresponding data in the order information, and at the same time introduce an advanced fuel prediction model, which dynamically corrects the fuel data based on a large amount of historical data and real-time operating parameters. Through a strict error evaluation algorithm, determine that the error value is within the preset strict range, thereby further verifying the authenticity and accuracy of oil product refueling from the perspective of fuel liquid level change.

[0013] According to the authenticity verification method of the oil product input tax deduction business disclosed in the present invention, preferably, it further includes: collecting vehicle positioning data, vehicle energy usage data, in-vehicle video data, refueling data, and waybill data as verification elements; transmitting the data related to the collected verification elements to the server in real time through the mobile network.

[0014] According to the authenticity verification method of the oil product input tax deduction business disclosed in the present invention, preferably, it further includes: performing data cleaning and data integration on the collected vehicle positioning data, vehicle energy consumption data, in-vehicle video data, refueling data, and waybill data.

[0015] According to the authenticity verification method of the oil product input tax deduction business disclosed in the present invention, preferably, it further includes: after all verifications are passed, calculate the waybill deduction ratio according to the formula: refueling amount / freight cost, and issue an invoice through the gas station terminal.

[0016] According to the authenticity verification method of the oil product input tax deduction business disclosed by the present invention, preferably, after the waybill passes the verification, tax reporting is completed through the enterprise tax system.

[0017] According to the authenticity verification method of the oil product input tax deduction business disclosed by the present invention, preferably, the step of calculating the maximum fuel filling volume of a single waybill specifically includes: after receiving the waybill information and refueling request of the driver, calculating the kilometers between the two places according to the starting place and the destination of the waybill, and taking a certain proportion of the freight as the maximum amount, and calculating the maximum fuel filling volume or gas filling volume of this waybill through the vehicle's fuel consumption data per 100 kilometers. The specific calculation process includes: determining the average fuel consumption of the vehicle: calculating the actual average fuel consumption as x liters or cubic meters of oil or gas consumed per 100 kilometers according to the vehicle's previous driving records and refueling data; determining the distance between the starting place and the destination: obtaining the actual driving distance d kilometers between the two places according to the map software or navigation tool; obtaining the local fuel price p yuan / liter at that time; obtaining the freight information w;

[0018] According to the formula:

[0019] (Maximum filling volume × p) ≤ w × set ratio;

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

[0021] Combining the above two formulas:

[0022] According to [(d ÷ 100) × x × p] ≤ w × set ratio, the maximum fuel filling volume or maximum gas filling volume that meets the freight set ratio limit can be calculated.

[0023] In this technical solution, the calculation of restricting the fuel (gas) filling volume with a set ratio of the freight as the maximum amount will be more complicated because it involves the real-time change of the oil product price and the specific freight amount. The oil product price may fluctuate with the region and time, so it is necessary to obtain the local oil product unit price at that time. The freight amount needs to be determined according to the specific transportation contract or negotiation.

[0024] According to the authenticity verification method of the oil product input tax deduction business disclosed by the present invention, preferably, it is confirmed that the distances among the gas station coordinate information, the vehicle positioning information and the driver positioning information do not exceed the preset distance.

[0025] According to the authenticity verification method of the oil product input tax deduction business disclosed by the present invention, preferably, based on the machine learning algorithm, a large amount of normal data is learned, and an authenticity verification model for the oil product input tax deduction business data is established to identify abnormal data patterns.

[0026] According to the authenticity verification method for oil product input tax deduction business disclosed in the present invention, preferably, fuel includes oil and gas, and refueling includes refueling and refueling.

[0027] The second aspect of the present invention discloses an authenticity verification system for oil product input tax deduction business, including: a memory for storing program instructions; a processor for calling the program instructions stored in the memory to implement an authenticity verification method for oil product input tax deduction business such as any of the above-mentioned technical solutions.

[0028] The beneficial effects of the present invention include at least:

[0029] 1. Optimize the transaction process: In the traditional oil transaction process, reconciliation and accounting are cumbersome and prone to errors. This invention introduces an intelligent and automated deduction mechanism to simplify the transaction process, reduce manual intervention, and thus improve transaction efficiency.

[0030] 2. Improve data accuracy: Establish a strict oil product logic deduction rule system to ensure the accuracy of transaction data. This can not only reduce economic losses caused by data errors, but also improve the scientificity and effectiveness of decision-making.

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

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

[0033] Figure 1 A flow chart of a method for verifying the authenticity of an oil product input tax deduction business according to an embodiment of the present invention is shown.

[0034] Figure 2 A schematic block diagram of an authenticity verification system for oil product input tax deduction business according to an embodiment of the present invention is shown. DETAILED DESCRIPTION

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

[0036] like Figure 1As shown, according to an embodiment of the present invention, the authenticity verification method for the input tax deduction business of oil products disclosed by the present invention includes:

[0037] Step S101, determining the maximum fuel filling volume: According to the fuel price, the fuel consumption per 100 kilometers of the vehicle, the itinerary of a single waybill, and the freight, with a certain proportion of the freight as the upper limit, calculate the maximum fuel filling volume of a single waybill;

[0038] Step S102, electronic fence verification: According to the vehicle positioning data, if it is determined that the vehicle is within the electronic fence range of the gas station, then it passes the verification, and record the time when the vehicle enters the electronic fence and the time when the vehicle exits the electronic fence;

[0039] Step S103, fuel filling process verification: After passing the electronic fence verification, place an order for refueling; and collect the image of the display panel of the fuel dispenser to identify the actual refueling information; compare the actual refueling information with the information filled in when placing the refueling order. If the actual refueling information is consistent with the order information and does not exceed the maximum fuel filling volume, then it passes the verification;

[0040] Step S104, trajectory verification: According to the trajectory information uploaded by the in-vehicle device, confirm that the vehicle passes by the gas station and confirm that the vehicle is within the gas station range when refueling; confirm that the gas station coordinate information, the vehicle positioning information, and the driver positioning information are within a certain range; make a judgment based on the driving-in and driving-out trajectories before and after fuel filling, as well as the gas station coordinate information, the vehicle positioning information, and the driver positioning information, to determine that the vehicle driving trajectory matches the positioning information;

[0041] Step S105, fuel filling volume verification: Using the time when the vehicle enters and exits the electronic fence of the gas station as the query condition, obtain the fuel volume data through the in-vehicle terminal to determine the fuel volume before fuel filling of the vehicle; using the refueling completion time as the query condition, obtain the fuel volume data through the in-vehicle terminal to confirm the fuel volume after fuel filling;

[0042] Step S106, liquid level change verification: According to the fuel volume before fuel filling of the vehicle and the fuel volume after fuel filling, calculate the actual increase in fuel; determine that the error value is within the preset range according to the comparison of the actual increase in fuel with the corresponding data in the order information, then it passes the verification.

[0043] Step S107, issuing an invoice: After passing all verifications, calculate the waybill deduction ratio according to the formula: refueling amount / freight cost, and issue an invoice through the gas station terminal.

[0044] Step S108, waybill reporting: After the waybill passes the verification, complete tax reporting through the enterprise tax system.

[0045] In this embodiment, multiple data sources such as vehicle terminal positioning, vehicle video, vehicle trajectory, OBD, parking points, oil / gas volume sensors, and actual refueling volume at oil / gas stations are integrated and comprehensively analyzed to comprehensively and accurately evaluate the operation and fuel consumption of the vehicle. An intelligent and automated deduction mechanism is introduced to simplify the transaction process and reduce manual intervention, thereby improving transaction efficiency. Through modular design, independent development and flexible combination of each link can be achieved to meet the personalized needs of different enterprises.

[0046] According to the authenticity verification method for the oil input tax deduction business disclosed in the above embodiment, preferably, it also includes: collecting vehicle positioning data, vehicle energy usage data, on-board video data, refueling data and waybill data as verification factors; and transmitting the collected verification factor-related data to the server in real time via the mobile network.

[0047] According to the authenticity verification method of the oil input tax deduction business disclosed in the above embodiment, preferably, it also includes: data cleaning and data integration of the collected vehicle positioning data, vehicle energy consumption data, on-board video data, refueling data and waybill data.

[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 specifically includes: after receiving the waybill information and refueling request of the driver, according to the starting place and destination of the waybill, the mileage between the two places is calculated, and a certain proportion of the freight is used as the maximum amount, and the maximum refueling amount or gas filling amount of the waybill is calculated through the vehicle's 100-kilometer fuel consumption data. The specific calculation process includes:

[0049] Determine the vehicle's average fuel consumption: Based on the vehicle's past driving records and refueling data, calculate the actual average fuel consumption as x liters of oil or gas per 100 kilometers;

[0050] Determine the distance between the starting point and the destination: Obtain the actual driving distance d kilometers between the two places using map software or navigation tools;

[0051] Get the local fuel price p yuan / liter;

[0052] Get freight information w;

[0053] According to the formula:

[0054] (maximum filling amount × p) ≤ w × set ratio;

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

[0056] Combining the above two formulas:

[0057] The maximum refueling volume or maximum gas filling volume that meets the freight rate setting ratio limit can be calculated according to [(d÷100)×x×p]≤w×set ratio.

[0058] According to the authenticity verification method of the oil product input tax deduction business disclosed in the above embodiment, preferably, it is confirmed that the distances among the gas station coordinate information, vehicle positioning information, and driver positioning information do not exceed the set range.

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

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

[0061] To accurately verify the oil product deduction logic, relevant data such as mobile phone positioning, vehicle-mounted terminal positioning, vehicle-mounted video, vehicle trajectory, gas station coordinates, OBD, parking points, fuel volume / gas volume sensors, and actual refueling volume of the gas station will be verified. It is divided into the operation end, enterprise end, gas station end, and tax end according to the login mode. The following are the implementation steps:

[0062] Data collection:

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

[0064] Vehicle-mounted terminal: The vehicle-mounted positioning terminal device installed on the vehicle provides the vehicle's position, trajectory data, speed, fuel volume, electronic fence, etc., which is used as the second main verification element.

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

[0066] Vehicle-mounted video: A video terminal is installed, and the actual refueling video obtained when the vehicle is refueled is obtained through the camera pointing to the area range of the vehicle fuel / gas tank, which is used as the fourth auxiliary verification element.

[0067] Driver refueling data: After selecting a gas station to refuel through the app, the driver's refueling data is generated, including gas station coordinates, refueling volume, refueling time, etc., which is used as the fifth main verification element.

[0068] Online freight waybill data: When the driver grabs an order on the online freight platform, information such as the starting point, destination, distance between the two places, loading time, unloading time, and freight is obtained, which is used as the sixth main verification element.

[0069] OEM data: Obtain vehicle data according to the vehicle OEM, including: time, positioning trajectory, fuel quantity change data, which are used for the seventh main verification element.

[0070] Data upload:

[0071] Use the 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 data such as positioning, trajectory, fuel quantity, refueling quantity and OEM, etc.

[0074] Estimated maximum refueling quantity:

[0075] After the driver grabs a transportation order and refuels with gasoline or gas through the app, based on the starting point and destination of the transportation order, calculate the distance (in kilometers) between the two places, and use a certain proportion of the freight as the maximum amount. Through the vehicle's previous driving records and mileage consumption data, calculate the maximum liters (quantity) of gasoline (gas) for this transportation order. It is achieved by using a calculation method as follows:

[0076] First, determine the average fuel consumption of the vehicle: According to the vehicle's previous driving records and refueling data, calculate the actual average fuel consumption. For example, record the refueling quantity and the corresponding driving mileage several times, and use the formula: consumed fuel quantity ÷ driving mileage × 100 = fuel consumption per 100 kilometers.

[0077] Obtain the distance between the starting point and the destination: You can use a map software or a navigation tool to determine the actual driving distance between the two places.

[0078] Calculate the maximum gasoline (gas) quantity: Assume that the average fuel consumption of the vehicle is x liters (gas) per 100 kilometers, and the distance between the starting point and the destination is d kilometers. Then the maximum gasoline (gas) quantity = (d ÷ 100) × x liters (quantity).

[0079] However, calculating the refueling (gas) quantity limit with a certain proportion of the freight as the maximum amount is more complex because it involves the real-time change of oil prices and the specific freight amount.

[0080] Oil prices may fluctuate with regions and time, so it is necessary to obtain the local oil unit price at that time. The freight amount needs to be determined according to the specific transportation contract or negotiation.

[0081] Assume that the oil unit 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 gasoline (gas) quantity: (maximum gasoline (gas) quantity × p) ≤ w × set proportion

[0082] Substitute the calculation formula for the maximum refueling (gas) volume into the above inequality to obtain:

[0083] [(d÷100)×x×p] ≤ w×set ratio;

[0084] Through this inequality, when the freight, unit price of oil products, distance between the origin and destination, and average fuel consumption of the vehicle are known, the maximum refueling (gas) volume that meets the freight set ratio limit can be calculated.

[0085] Information such as the electronic fence of the gas station: Enter the coordinates, unit price, etc. of each gas station into the system. The electronic fence is centered on the coordinates of the gas station and sets the range of the electronic fence for each gas station according to the expected set parameters (such as 300 meters).

[0086] Refueling verification: When the driver refuels, verify whether it is within the electronic fence range of the gas station according to the coordinates at the time of placing an order through the app. If it is within the electronic fence range of the gas station, record the time when the vehicle enters the electronic fence and the time when the vehicle exits the electronic fence before and after refueling.

[0087] Placing an order for refueling: After the refueling verification is passed, refueling can be carried out, and the refueling liters and amount are input. After refueling is completed, take a photo of the fuel dispenser through the app, automatically identify the refueling information on the photo, including: refueling liters, unit price, and amount information, and compare it with the actually input information, and at the same time, it cannot exceed the "expected refueling volume" in Article 4. If the comparison is successful, payment can be made.

[0088] Three aspects of order verification:

[0089] Track verification:

[0090] First, through the track information uploaded by the on-vehicle device, compare whether the vehicle is within the gas station range during the refueling time range, whether it passes by the gas station, and during refueling, verify whether the positioning coordinates of the person, vehicle, and gas station are within the predetermined range, and also match the driving-in and driving-out tracks before and after refueling to confirm that the person-station positioning information and track information are highly matched.

[0091] Refueling volume verification:

[0092] First, confirm the fuel volume data before refueling. Take the time when the vehicle enters the electronic fence of the gas station as the query condition, and confirm the parking point time and the fuel volume before refueling through the on-vehicle terminal, speed, and fuel volume data. Then confirm the fuel volume data after refueling. Starting from the time when the refueling payment is successful, confirm the fuel volume data after refueling through the on-vehicle terminal, speed, and fuel volume data. Compare the liquid level change:

[0093] Calculate the actual fuel quantity by the formula: fuel quantity data after refueling - fuel quantity data before refueling = actual fuel quantity of the vehicle, and verify and compare it with the fuel quantity on the refueling order. Within the error range, the verification of fuel quantity information is successful. Establish a data analysis model to comprehensively analyze various collected data and improve the accuracy rate.

[0094] Deduction rule: After all verifications are successful, calculate the waybill deduction ratio according to the formula: refueling amount / freight cost. At the same time, complete the invoice issuance through the gas station terminal to ensure the authenticity and consistency of the business flow and capital flow.

[0095] Waybill reporting: Complete tax reporting through the enterprise terminal.

[0096] Through the above comprehensive technical means and management measures, multi-source data such as in-vehicle terminal positioning, in-vehicle video, vehicle trajectory, OBD, fuel quantity / gas quantity sensors, etc. can be effectively utilized to ensure the authenticity of fuel deductions, reduce fraud and errors, and improve the efficiency and fairness of management.

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

[0098] All or part of the steps in the various methods of the above embodiments can be completed by controlling related hardware through a program. The program can be stored in a readable storage medium, and the storage medium includes 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 memories, magnetic disk memories, tape memories, or any other readable medium capable of carrying or storing data.

[0099] The above are only the preferred embodiments of the present invention and are not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

Claims

1. A method for verifying the authenticity of oil product input tax deduction business, characterized in that: include: Determine the maximum fuel filling amount: Calculate the maximum fuel filling amount of a single waybill based on the fuel price, the vehicle's fuel consumption per 100 kilometers, the distance of a single waybill, and the freight; Electronic fence verification: if the vehicle is determined to be within the electronic fence of the gas station based on the vehicle positioning data, the verification is passed, and the time when the vehicle enters the electronic fence and the time when the vehicle leaves the electronic fence are recorded; Fuel filling process verification: After passing the electronic fence verification, the refueling order is allowed; and the display panel image of the fuel dispenser is collected to identify the actual refueling information; the actual refueling information is compared with the information filled in when placing the refueling order. If the actual refueling information is consistent with the order information and does not exceed the maximum fuel filling amount, the verification is passed; Track verification: Based on the track information uploaded by the vehicle-mounted device, confirm that the vehicle passes through the gas station and that the vehicle is within the gas station range when refueling; based on the gas station coordinate information, vehicle positioning information and driver positioning information, confirm that the three are within a certain range; based on the entry and exit tracks before and after refueling, as well as the gas station coordinate information, vehicle positioning information and driver positioning information, make judgments to determine that the vehicle's driving track matches the positioning information; Fuel filling quantity verification: Using the precise time when the vehicle enters and exits the electronic fence of the gas station as the query condition, the vehicle terminal's built-in sensors and data acquisition system are used to obtain the vehicle's accurate fuel quantity data before refueling; after the refueling operation is completed, the completion time is used as the key query basis, and the vehicle terminal is used again to obtain the accurate fuel quantity data after refueling; Liquid level change verification: Calculate the actual fuel increase based on the fuel volume of the vehicle before fueling and the fuel volume after fueling; Verify if the error value is within a preset range based on the comparison between the actual fuel increase and the corresponding data in the order information.

2. The authenticity verification method for oil product input tax deduction business according to claim 1 is characterized in that: Also includes: Collect vehicle location data, vehicle energy usage data, vehicle video data, refueling data, and waybill data as verification factors; The collected verification factor related data is transmitted to the server in real time via the mobile network.

3. The authenticity verification method for oil product input tax deduction business according to claim 2 is characterized in that: Also includes: The collected vehicle positioning data, vehicle energy consumption data, vehicle video data, refueling data and waybill data are cleaned and integrated.

4. The authenticity verification method for oil product input tax deduction business according to claim 1 is characterized in that: Also includes: After passing all verifications, the waybill deduction ratio is calculated according to the formula: refueling amount / freight fee, and the invoice is issued through the gas station.

5. The authenticity verification method for oil product input tax deduction business according to claim 1 is characterized in that: Also includes: After the waybill is verified, tax reporting is completed through the corporate tax system.

6. The authenticity verification method for oil product input tax deduction business according to claim 1 is characterized in that: The step of calculating the maximum fuel filling amount of the single waybill specifically includes: After receiving the driver's waybill information and refueling request, the mileage between the two places is calculated based on the starting and destination of the waybill. The maximum refueling or gas filling amount of the waybill is calculated based on the vehicle's 100-kilometer fuel consumption data. The specific calculation process includes: Determine the vehicle's average fuel consumption: Based on the vehicle's past driving records and refueling data, calculate the actual average fuel consumption as x liters of oil or gas per 100 kilometers; Determine the distance between the starting point and the destination: Obtain the actual driving distance d kilometers between the two places using map software or navigation tools; Get the local fuel price p yuan / liter; Get freight information w; According to the formula: (maximum filling amount × p) ≤ w × set ratio; Maximum filling amount = (d ÷ 100) × x; Combining the above two formulas: The maximum refueling amount or the maximum gas filling amount can be calculated according to [(d÷100)×x×p]≤w×set ratio.

7. The authenticity verification method for oil product input tax deduction business according to claim 1 is characterized in that: According to the gas station coordinate information, vehicle positioning information and driver positioning information, it is confirmed that the distance between the three does not exceed the preset distance.

8. The authenticity verification method for oil product input tax deduction business according to any one of claims 1 to 7, characterized in that: Based on machine learning algorithms, a large amount of normal data is learned and a data authenticity verification model for oil input tax deduction business is established to identify abnormal data patterns.

9. The authenticity verification method for oil product input tax deduction business according to any one of claims 1 to 7, characterized in that: The fuel includes oil and gas, and the refueling includes refueling and regasification.

10. An authenticity verification system for oil product input tax deduction business, characterized in that: include: A memory for storing program instructions; A processor, used to call the program instructions stored in the memory to implement the authenticity verification method for the oil product input tax deduction business as described in any one of claims 1 to 9.

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