Tax-related traceability management system and method for product oil sales multi-dimensional evidence chain

Abstract

The invention discloses a tax-related traceability management system and method for a multi-dimensional evidence chain of oil product sales, and the system comprises an identification module which is used for generating corresponding identification data according to the identification of an intelligent device; acquiring gas station scene information acquired by the intelligent equipment; the gas station scene information carries a corresponding timestamp; the acquisition module is used for acquiring the oiling machine data uploaded by the oiling machine from the cloud; the processing module is used for judging whether to merge the corresponding identification data, gas station scene information and refueling machine data or not on the basis of a preset merging rule so as to form a multi-dimensional evidence chain; wherein the merging rule comprises a time judgment rule; carrying out the final calculation of the merged data according to a preset time period, so as to calculate the corresponding tax-related data; the system has the advantages that the refueling machine data is combined with other external data, and the defect that a comprehensive sales multi-dimensional evidence chain is difficult to form at present is overcome.

Description

Technical Field

[0001] The present invention relates to the technical field of refined oil trading, and in particular to a tax-related tracing management system and method for a multi-dimensional evidence chain for refined oil sales. Background Art

[0002] Finished oil is the main energy source for logistics and transportation in today's society, and gas stations have become an important place for the circulation of finished oil. In the process of selling finished oil, tax monitoring and management of the retail process of finished oil is required. The traditional tax collection and management method relies on manual declaration and verification, which is inefficient; or the data is read offline through the tax control device at a certain time, so that some gas stations have artificially tampered with the motherboard data of the gas station through technical means; although there are also schemes for sending through gas stations, the data source depends on the gas station itself, and is not combined with other external data, making it difficult to form a complete and effective sales multi-dimensional evidence chain. Summary of the invention

[0003] In view of the technical defects mentioned in the background technology, the purpose of the embodiments of the present invention is to provide a tax-related traceability management system and method for a multi-dimensional evidence chain for refined oil sales.

[0004] To achieve the above objectives, in a first aspect, an embodiment of the present invention provides a tax-related traceability management system for a multi-dimensional evidence chain of refined oil sales, the system comprising:

[0005] Identification module for:

[0006] Generate corresponding identification data according to the identification of the smart device; wherein the identification data includes vehicle information and fuel gun action, and both have corresponding time information;

[0007] Acquire the gas station scene information collected by the smart device; the gas station scene information carries a corresponding timestamp;

[0008] The collection module is used to obtain the fuel dispenser data uploaded by the fuel dispenser from the cloud; wherein the fuel dispenser data includes time, fuel gun, amount, unit price, fuel quantity and fuel product data;

[0009] Processing modules for:

[0010] Based on a preset merging rule, it is determined whether to merge the corresponding identification data, gas station scene information and gas station data to form a multi-dimensional evidence chain; wherein the merging rule includes a time judgment rule;

[0011] The consolidated data shall be reconciled according to the preset time period to calculate the corresponding tax-related data.

[0012] As a preferred implementation method of the present application, the smart device obtains the corresponding vehicle information and fuel gun action through a pre-loaded image recognition model; wherein the image recognition model includes a first recognition model and a second recognition model; the first recognition model is used for recognizing vehicle information, and the second recognition model is used for recognizing fuel gun action.

[0013] As a preferred implementation of the present application, the processing module is also used to select dimensions and confirm facts of tax-related data;

[0014] The selected dimensions include time, vehicle, and tax rate;

[0015] The facts include the name of the purchaser, name of the fuel dispenser, unit price, amount, fuel gun, fuel quantity and fuel product data.

[0016] As a preferred implementation of the present application, the processing module is further used for:

[0017] Classify and summarize the tax-related data to obtain the cumulative quantity and sales amount of the corresponding oil products;

[0018] If any of the cumulative amount and sales amount exceeds the set threshold, an abnormal alarm will be issued.

[0019] As a preferred implementation of the present application, the vehicle information and the oil gun action both include corresponding image and text information;

[0020] The text information in the vehicle information is embedded in the image corresponding to the oil gun action in the form of a watermark, so as to form a strong association of the data.

[0021] In a second aspect, an embodiment of the present invention further provides a tax-related source tracing management method for a multi-dimensional evidence chain for refined oil sales, which is applied to a tax-related source tracing management system for a multi-dimensional evidence chain for refined oil sales described in the first aspect, and the method includes:

[0022] Generate corresponding identification data according to the identification of the smart device; wherein the identification data includes vehicle information and fuel gun action, and both have corresponding time information;

[0023] Acquire the gas station scene information collected by the smart device; the gas station scene information carries a corresponding timestamp;

[0024] Obtain the fuel dispenser data uploaded by the fuel dispenser from the cloud; wherein the fuel dispenser data includes time, fuel gun, amount, unit price, fueling amount and fuel product data;

[0025] Based on a preset merging rule, it is determined whether to merge the corresponding identification data, gas station scene information and gas station data to form a multi-dimensional evidence chain; wherein the merging rule includes a time judgment rule;

[0026] The consolidated data shall be reconciled according to the preset time period to calculate the corresponding tax-related data.

[0027] The technical solution provided by the embodiment of the present invention determines whether to merge the corresponding identification data, gas station scene information and gas pump data based on preset merging rules to form a multi-dimensional evidence chain; finally, the merged data are settled according to a preset time period to calculate the corresponding tax-related data; the gas pump data is combined with other external data, thereby overcoming the current defect that it is difficult to form a comprehensive and effective multi-dimensional sales evidence chain. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] 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 will be briefly introduced below.

[0029] Figure 1 It is a principle block diagram of a tax-related traceability management system for a multi-dimensional evidence chain of refined oil sales provided by an embodiment of the present invention;

[0030] Figure 2 It is a flow chart of a tax-related traceability management method for a multi-dimensional evidence chain of refined oil sales provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0031] 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.

[0032] It should be noted that the terms "first", "second", etc. in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the numbers used in this way can be interchanged where appropriate, so as to describe the embodiments of the present application described herein.

[0033] 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.

[0034] Throughout the specification, references to "one embodiment," "an embodiment," "an example," or "an example" mean that a particular feature, structure, or characteristic described in conjunction with the embodiment or example is included in at least one embodiment of the present invention. Therefore, the phrases "in one embodiment," "in an embodiment," "an example," or "an example" appearing in various places throughout the specification do not necessarily all refer to the same embodiment or example. Furthermore, particular features, structures, or characteristics may be combined in one or more embodiments or examples in any appropriate combinations and / or subcombinations.

[0035] It should be noted that, unless otherwise specified, the technical terms in this embodiment have the common meanings understood in the relevant technical field.

[0036] Please refer to Figure 1 The embodiment of the present invention provides a tax-related traceability management system for a multi-dimensional evidence chain of refined oil sales, the system comprising:

[0037] Identification module for:

[0038] Generate corresponding identification data according to the identification of the smart device; wherein the identification data includes vehicle information and fuel gun action, and both have corresponding time information;

[0039] Acquire the gas station scene information collected by the smart device; the gas station scene information carries a corresponding timestamp;

[0040] The collection module is used to obtain the fuel dispenser data uploaded by the fuel dispenser from the cloud; wherein the fuel dispenser data includes time, fuel gun, amount, unit price, fuel quantity and fuel product data;

[0041] Processing modules for:

[0042] Based on a preset merging rule, it is determined whether to merge the corresponding identification data, gas station scene information and gas station data to form a multi-dimensional evidence chain; wherein the merging rule includes a time judgment rule;

[0043] The consolidated data shall be reconciled according to the preset time period to calculate the corresponding tax-related data.

[0044] In this embodiment, the application scenario of a gas station is taken as an example; the smart device includes a plurality of smart cameras deployed in the gas station, which will not be described in detail here.

[0045] Based on the refueling process, it is divided into vehicle entry, refueling start, refueling period, refueling end and vehicle exit; by identifying the vehicle entry, refueling position and vehicle exit, a complete refueling and transaction process is constructed to obtain the vehicle information; the vehicle information includes license plate information and vehicle type information;

[0046] The time judgment rule is: judging the time range determined by the identification data and the time data in the fuel dispenser data, and judging whether the time in the fuel dispenser data is within the time range of the vehicle entering the station and the vehicle leaving the station;

[0047] The preset time period can be set to multiple times, including day, week, month, year, etc.

[0048] In this embodiment, the smart device obtains the corresponding vehicle information and fuel gun action through a pre-loaded image recognition model; wherein the image recognition model includes a first recognition model and a second recognition model; the first recognition model is used for vehicle information recognition, and the second recognition model is used for fuel gun action recognition; wherein the first recognition model can use a deep learning model such as a convolutional neural network to automatically learn and extract features; the extracted features are classified using the deep learning model to identify objects in the image or to identify specific objects in the image;

[0049] The second recognition model adopts an improved attention model to identify the corresponding oil gun action; the model introduces a local attention mechanism based on self-attention, so that it is suitable for fine-grained features of oil gun actions and improves the effect of corresponding image recognition;

[0050] When applied, an image block is embedded before the local attention mechanism. The image block is used to reduce the computational complexity of the attention module and aggregate the feature information of adjacent pixels, so that it can expand the receptive field in the attention module. The image block features are then reconstructed by calculating the attention weights between the image block and its adjacent image blocks, so as to better obtain the image detail features.

[0051] The oil gun action includes: gun lifting identification at the beginning of refueling, oil gun connection identification during refueling, and gun release (gun hanging) identification at the end of refueling;

[0052] At the same time, the vehicle information and the oil gun action both contain corresponding images and text information;

[0053] The text information in the vehicle information is embedded in the image corresponding to the oil gun action in the form of a watermark to form a strong association of the data; wherein the text information in the vehicle information can be a license plate or camera information, for example; and the related data is desensitized or part of the data is hidden; the watermark can be added by calling a third-party software.

[0054] In this embodiment, in order to realize multi-dimensional expression, the processing module is also used to select dimensions and confirm facts of tax-related data;

[0055] The selected dimensions include time, vehicle, and tax rate;

[0056] The facts include the name of the purchaser, name of the fuel dispenser, unit price, amount, fuel gun, fuel quantity and fuel product data.

[0057] Furthermore, during implementation, in order to provide effective tax data support and timely discover abnormal situations, the processing module is also used to:

[0058] Classify and summarize the tax-related data to obtain the cumulative quantity and sales amount of the corresponding oil products;

[0059] If any of the cumulative amount and sales amount exceeds the set threshold, an abnormal alarm will be issued.

[0060] It should be noted that the thresholds include fixed thresholds and active thresholds; during implementation, the active thresholds are adjusted based on preset influencing factors; the influencing factors include price adjustment data, holiday data, and weather characteristics, and the corresponding influencing factors are pre-corresponding to the associated active thresholds;

[0061] The above scheme determines whether to merge the corresponding identification data, gas station scene information and gas pump data based on preset merging rules to form a multi-dimensional evidence chain; finally, the merged data are settled according to a preset time period to calculate the corresponding tax-related data; the gas pump data is combined with other external data, overcoming the current defect that it is difficult to form a comprehensive and effective sales multi-dimensional evidence chain.

[0062] Reference Figure 2 Based on the same inventive concept, an embodiment of the present invention further provides a tax-related source tracing management method for a multi-dimensional evidence chain of refined oil sales, which is applied to the tax-related source tracing management system for a multi-dimensional evidence chain of refined oil sales mentioned above, and the method includes:

[0063] S101, generating corresponding identification data according to the identification of the smart device; wherein the identification data includes vehicle information and fuel gun action, and both have corresponding time information;

[0064] S102, obtaining gas station scene information collected by the smart device; the gas station scene information has a corresponding timestamp;

[0065] S103, obtaining the fuel dispenser data uploaded by the fuel dispenser from the cloud; wherein the fuel dispenser data includes time, fuel gun, amount, unit price, fueling amount and fuel product data;

[0066] S104, judging whether to merge the corresponding identification data, gas station scene information and gas station data based on a preset merging rule to form a multi-dimensional evidence chain; wherein the merging rule includes a time judgment rule;

[0067] S105, reconciling each consolidated data according to a preset time period to calculate the corresponding tax-related data.

[0068] Furthermore, the smart device performs recognition through a pre-loaded image recognition model to obtain corresponding vehicle information and fuel gun action; wherein, the image recognition model includes a first recognition model and a second recognition model; the first recognition model is used for recognition of vehicle information, and the second recognition model is used for recognition of fuel gun action.

[0069] In this embodiment, the vehicle information and the fuel gun action both include corresponding image and text information; the method further includes:

[0070] The text information in the vehicle information is embedded in the image corresponding to the oil gun action in the form of a watermark, so as to form a strong association of the data.

[0071] In order to provide effective tax data support and timely discover abnormal situations, the method also includes:

[0072] Classify and summarize the tax-related data to obtain the cumulative quantity and sales amount of the corresponding oil products;

[0073] If any of the cumulative amount and sales amount exceeds the set threshold, an abnormal alarm will be issued.

[0074] It should be noted that for a more specific description of the workflow of the method embodiment, please refer to the aforementioned system embodiment part, which will not be repeated here.

[0075] The entire solution determines whether to merge the corresponding identification data, gas station scene information and gas pump data based on preset merging rules to form a multi-dimensional evidence chain; finally, the merged data are settled according to a preset time period to calculate the corresponding tax-related data; the gas pump data is combined with other external data, overcoming the current defect that it is difficult to form a comprehensive and effective multi-dimensional sales evidence chain.

[0076] In several embodiments provided in the present application, it should be understood that the disclosed system and method can also be implemented in other ways. The system embodiment described above is only schematic, for example, each box in the flow chart or block diagram can represent a module, a program segment or a part of a code, and the module, a program segment or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a different order from the order marked in the accompanying drawings. For example, two consecutive boxes can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram and / or flow chart, and the combination of the boxes in the block diagram and / or flow chart can be implemented with a dedicated hardware-based system that performs a specified function or action, or can be implemented with a combination of dedicated hardware and computer instructions.

[0077] In addition, the functional modules in the various embodiments of the present invention can be integrated together to form an independent part, or each module can exist separately, or two or more modules can be integrated to form an independent part. When in use, each module only collects and stores user information with the full authorization of the user and in compliance with relevant laws and regulations, and protects the security and privacy of user data, and unauthorized access is strictly prohibited; data processing will be carried out within the scope prescribed by law and shall not exceed the purpose and scope authorized by the user; at the same time, users enjoy relevant rights such as access, correction, deletion, restriction of processing, and rejection of their personal data; and strictly abide by applicable laws and regulations and conduct compliance reviews.

[0078] If the functions are implemented in the form of software function modules and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on such understanding, the technical solution of the present invention is essentially or the part that contributes to the prior art or the part of the technical solution can be embodied in the form of a software product, which is stored in a storage medium and includes several instructions to enable 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 methods described in various embodiments of the present invention. It should be noted that, in this article, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply that there is any such actual relationship or order between these entities or operations. The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various changes and variations. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

[0079] 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 tax-related traceability management system for multi-dimensional evidence chain of refined oil sales, characterized in that: The system comprises: Identification module for: Generate corresponding identification data according to the identification of the smart device; wherein the identification data includes vehicle information and fuel gun action, and both have corresponding time information; Acquire the gas station scene information collected by the smart device; the gas station scene information carries a corresponding timestamp; The collection module is used to obtain the fuel dispenser data uploaded by the fuel dispenser from the cloud; wherein the fuel dispenser data includes time, fuel gun, amount, unit price, fuel quantity and fuel product data; Processing modules for: Based on a preset merging rule, it is determined whether to merge the corresponding identification data, gas station scene information and gas station data to form a multi-dimensional evidence chain; wherein the merging rule includes a time judgment rule; The consolidated data shall be reconciled according to the preset time period to calculate the corresponding tax-related data.

2. A tax-related traceability management system for a multi-dimensional evidence chain for refined oil sales as claimed in claim 1, characterized in that: The smart device obtains the corresponding vehicle information and fuel gun action through a pre-loaded image recognition model; wherein the image recognition model includes a first recognition model and a second recognition model; the first recognition model is used for recognizing vehicle information, and the second recognition model is used for recognizing fuel gun action.

3. A tax-related traceability management system for a multi-dimensional evidence chain of refined oil sales as claimed in claim 2, characterized in that: The processing module is also used to select dimensions and confirm facts of tax-related data; The selected dimensions include time, vehicle, and tax rate; The facts include the name of the purchaser, name of the fuel dispenser, unit price, amount, fuel gun, fuel quantity and fuel product data.

4. A tax-related traceability management system for a multi-dimensional evidence chain of refined oil sales as claimed in claim 2, characterized in that: The processing module is further used for: Classify and summarize the tax-related data to obtain the cumulative quantity and sales amount of the corresponding oil products; If any of the cumulative amount and sales amount exceeds the set threshold, an abnormal alarm will be issued.

5. A tax-related tracing management system for a multi-dimensional evidence chain of refined oil sales as described in any one of claims 1 to 4, characterized in that: The vehicle information and fuel gun action both include corresponding image and text information; The text information in the vehicle information is embedded in the image corresponding to the oil gun action in the form of a watermark, so as to form a strong association of the data.

6. A tax-related source tracing management method for a multi-dimensional evidence chain for refined oil sales, characterized in that: The tax-related tracing management system for the multi-dimensional evidence chain of refined oil sales as described in claim 1 comprises: Generate corresponding identification data according to the identification of the smart device; wherein the identification data includes vehicle information and fuel gun action, and both have corresponding time information; Acquire the gas station scene information collected by the smart device; the gas station scene information carries a corresponding timestamp; Obtain the fuel dispenser data uploaded by the fuel dispenser from the cloud; wherein the fuel dispenser data includes time, fuel gun, amount, unit price, fueling amount and fuel product data; Based on a preset merging rule, it is determined whether to merge the corresponding identification data, gas station scene information and gas station data to form a multi-dimensional evidence chain; wherein the merging rule includes a time judgment rule; The consolidated data shall be reconciled according to the preset time period to calculate the corresponding tax-related data.

7. A tax-related source tracing management method for a multi-dimensional evidence chain for refined oil sales as claimed in claim 6, characterized in that: The smart device obtains the corresponding vehicle information and fuel gun action through a pre-loaded image recognition model; wherein the image recognition model includes a first recognition model and a second recognition model; the first recognition model is used for recognizing vehicle information, and the second recognition model is used for recognizing fuel gun action.

8. The tax tracing management method of the multi-dimensional evidence chain of refined oil sales as claimed in claim 6 is characterized in that: The method further comprises: Classify and summarize the tax-related data to obtain the cumulative quantity and sales amount of the corresponding oil products; If any of the cumulative amount and sales amount exceeds the set threshold, an abnormal alarm will be issued.

9. A tax-related source tracing management method for a multi-dimensional evidence chain for refined oil sales as claimed in any one of claims 6 to 8, characterized in that: The vehicle information and the oil gun action both include corresponding image and text information; the method further includes: The text information in the vehicle information is embedded in the image corresponding to the oil gun action in the form of a watermark, so as to form a strong association of the data.

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