Intelligent identification metering system and method based on refueling action and sales transaction

Abstract

The invention discloses an intelligent identification metering system and method based on refueling actions and sales transactions, and the system comprises an identification module which is used for identifying corresponding refueling actions according to an intelligent device; the number of the refueling actions is multiple, and the refueling actions are associated with corresponding timestamps and oil gun information; the matching module is used for matching corresponding flow parameters from a preset equipment database according to the oil gun information; the processing module is used for responding to the acquired transaction information and combining and associating the transaction information with the refueling action; if the association is successful, determining a metering time interval based on the timestamp, and processing in combination with the flow parameter to obtain metering data; the beneficial effects of the invention are that the method gets rid of the dependence on a conventional metering mode, achieves the online processing of data through intelligent recognition, achieves the combination and association of the refueling action and the sales transaction, and improves the metering supervision of a gas station.

Description

Technical Field

[0001] The present invention relates to the technical field of refined oil trading, and in particular to an intelligent identification and metering system and method based on refueling actions and sales transactions. Background Art

[0002] Finished oil is the most important energy source for logistics and transportation in today's society, and gas stations have become important places for the circulation of finished oil. Finished oil metering is one of the daily tasks of oil depots and gas stations. For petrochemical sales companies, it is the basis for economic accounting, and it is also the main means to maintain corporate reputation and establish corporate image; however, in actual applications, traditional metering relies on the collection of liquid level meters, and the tax control device adopts offline reading, which makes some gas stations artificially tamper with the motherboard data of the gas station through technical means; therefore, a new metering solution that can break away from the traditional metering method is urgently needed. 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 an intelligent identification and metering system and method based on refueling actions and sales transactions.

[0004] To achieve the above objectives, in a first aspect, an embodiment of the present invention provides an intelligent identification and metering system based on refueling actions and sales transactions, the system comprising:

[0005] An identification module, used to identify a corresponding refueling action according to a smart device; wherein the number of the refueling actions is multiple, and the refueling actions are associated with corresponding timestamps and fuel gun information;

[0006] A matching module, used for matching corresponding flow parameters from a preset equipment database according to the oil gun information;

[0007] Processing modules for:

[0008] Responding to the acquired transaction information, and associating the transaction information with the refueling action;

[0009] If the association is successful, a metering time interval is determined based on the timestamp and processed in combination with the traffic parameters to obtain metering data.

[0010] As a preferred implementation of the present application, the smart device obtains a corresponding refueling action through image recognition, and the refueling action is based on the refueling process, including the start of refueling, during refueling, and the end of refueling.

[0011] As a preferred implementation of the present application, the processing module is further used to:

[0012] At the beginning of refueling, the timestamp of the time when the gun is lifted and the timestamp of the time when the gun is inserted into the tank port are obtained according to image recognition, and the timestamp of the time when the gun is inserted into the tank port is used as the start time of the metering time interval;

[0013] At the end of refueling, the timestamp corresponding to when the gun was hung and the timestamp when the oil gun was pulled out of the tank port are obtained according to image recognition, and the timestamp when the oil gun was pulled out of the tank port is used as the end time of the metering time interval.

[0014] As a preferred implementation of the present application, the processing module is further used to:

[0015] Obtaining the fuel gun information uploaded by the fuel dispenser, wherein the fuel gun information includes a fuel gun start signal and a fuel gun stop signal; wherein the fuel gun start signal and the fuel gun stop signal both carry corresponding time information;

[0016] The metering time interval is calibrated based on the time information.

[0017] As a preferred implementation of the present application, the transaction information includes corresponding fuel gun information, label information and amount information;

[0018] The processing module is further used for:

[0019] Calculate corresponding oil quantity information based on the transaction information;

[0020] The oil quantity information is compared with the measurement data, and if the difference between the two exceeds a set threshold, an abnormal alarm is issued.

[0021] In a second aspect, an embodiment of the present invention further provides an intelligent identification and metering method based on refueling actions and sales transactions, which is applied to an intelligent identification and metering system based on refueling actions and sales transactions described in the first aspect, and the method includes:

[0022] Identify a corresponding refueling action according to the smart device; wherein the number of the refueling actions is multiple, and the refueling actions are associated with corresponding timestamps and fuel gun information;

[0023] According to the oil gun information, the corresponding flow parameters are matched from a preset equipment database;

[0024] Responding to the acquired transaction information, and associating the transaction information with the refueling action;

[0025] If the association is successful, a metering time interval is determined based on the timestamp and processed in combination with the traffic parameters to obtain metering data.

[0026] The technical solution provided by the embodiment of the present invention first identifies the corresponding refueling action based on the smart device, and the refueling action is associated with the corresponding timestamp and fuel gun information; and matches the corresponding flow parameters from the preset device database based on the fuel gun information; then the transaction information is combined and associated with the refueling action; if the association is successful, the metering time interval is determined based on the timestamp, and processed in combination with the flow parameters to obtain metering data; the entire solution gets rid of the reliance on traditional metering methods, and through intelligent identification, it realizes online processing of data, realizes the combination and association of refueling actions and sales transactions, and thus improves the metering supervision of gas stations. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] In order to more clearly illustrate the specific implementation of the present invention or the technical solution in the prior art, the drawings required for use in the specific implementation or the description of the prior art are briefly introduced below.

[0028] Figure 1 It is a principle block diagram of an intelligent identification and metering system based on refueling actions and sales transactions provided by an embodiment of the present invention;

[0029] Figure 2 It is a flow chart of an intelligent identification and metering method based on refueling actions and sales transactions provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0030] 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.

[0031] 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.

[0032] 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.

[0033] 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.

[0034] It should be noted that, unless otherwise specified, the technical terms in this embodiment have the common meanings understood in the relevant technical field.

[0035] Please refer to Figure 1 , an embodiment of the present invention provides an intelligent identification and metering system based on refueling actions and sales transactions, the system comprising:

[0036] An identification module, used to identify a corresponding refueling action according to a smart device; wherein the number of the refueling actions is multiple, and the refueling actions are associated with corresponding timestamps and fuel gun information;

[0037] A matching module, used for matching corresponding flow parameters from a preset equipment database according to the oil gun information;

[0038] Processing modules for:

[0039] Responding to the acquired transaction information, and associating the transaction information with the refueling action;

[0040] If the association is successful, a metering time interval is determined based on the timestamp and processed in combination with the traffic parameters to obtain metering data.

[0041] In this embodiment, the application scenario of a gas station is taken as an example; the smart devices include network devices, smart cameras and sensors deployed in the gas station, which are not described in detail here.

[0042] In this embodiment, the smart device obtains the corresponding refueling action through image recognition, and the refueling action is based on the refueling process, including the start, period and end of refueling; the image recognition uses different methods (such as edge detection, color histogram, texture analysis, etc.) to extract key features in the image, and deep learning models such as convolutional neural networks (CNNs) can automatically learn and extract features; the extracted features are classified using machine learning or deep learning models to identify objects in the image or identify specific objects in the image.

[0043] When applied, the gun lifting recognition is performed at the beginning of refueling, the oil gun connection recognition is performed during refueling, and the gun release (gun hanging) recognition is performed at the end of refueling, so as to achieve more accurate refueling action recognition;

[0044] It can also identify vehicles entering and leaving the station, thus building a complete refueling and transaction process; and the entire process uses image recognition to achieve lossless intelligent recognition;

[0045] At the same time, the corresponding refueling action includes the corresponding recognition image and text information; the text information includes the corresponding timestamp and fuel gun information; the refueling period and the end of refueling also include the corresponding vehicle identification; the vehicle entry and vehicle exit are associated with the corresponding timestamp, camera information and vehicle identification.

[0046] The flow parameters can be determined based on the corresponding model and caliber to determine the associated flow parameters.

[0047] In this embodiment, the transaction information includes corresponding time information, fuel gun information, label information, amount information and fuel quantity information;

[0048] When performing the combination association, first make a judgment based on the comparison of time and fuel gun. If the compared time of the two is within the preset time range and the fuel gun matches, the identification association is successful. It should be noted that the time range here can be determined based on the timestamp of each refueling action; for example, the time information should be within the time range of the vehicle entering the station and the vehicle leaving the station.

[0049] Furthermore, during implementation, in order to realize smart metering, the processing module is also used to:

[0050] At the beginning of refueling, the timestamp of the time when the gun is lifted and the timestamp of the time when the gun is inserted into the tank port are obtained according to image recognition, and the timestamp of the time when the gun is inserted into the tank port is used as the start time of the metering time interval;

[0051] At the end of refueling, the timestamp corresponding to when the gun was hung and the timestamp when the oil gun was pulled out of the tank port are obtained according to image recognition, and the timestamp when the oil gun was pulled out of the tank port is used as the end time of the metering time interval.

[0052] At the same time, in order to improve the accuracy of calculation, the processing module is also used to:

[0053] Obtaining the fuel gun information uploaded by the fuel dispenser, wherein the fuel gun information includes a fuel gun start signal and a fuel gun stop signal; wherein the fuel gun start signal and the fuel gun stop signal both carry corresponding time information;

[0054] The metering time interval is calibrated based on the time information.

[0055] In this way, on the basis of intelligent identification, calibration is performed in combination with the signal of the oil gun, so that the calculated metering data is more accurate.

[0056] The above scheme first identifies the corresponding refueling action based on the smart device, and the refueling action is associated with the corresponding timestamp and fuel gun information; and matches the corresponding flow parameters from the preset device database based on the fuel gun information; then the transaction information is combined and associated with the refueling action; if the association is successful, the metering time interval is determined based on the timestamp, and processed in combination with the flow parameters to obtain metering data; the entire scheme gets rid of the reliance on traditional metering methods, and through intelligent identification, it realizes online data processing, realizes the combination and association of refueling actions and sales transactions, and thus improves the metering supervision of gas stations.

[0057] Further, based on the above technical solution, the processing module is also used for:

[0058] Calculate corresponding oil quantity information based on the transaction information;

[0059] The oil quantity information is compared with the measurement data, and if the difference between the two exceeds a set threshold, an abnormal alarm is issued.

[0060] Through the implementation of the above solution, data anomalies can be discovered in a timely manner, thereby improving the metering supervision of gas stations.

[0061] Reference Figure 2 Based on the same inventive concept, an embodiment of the present invention further provides an intelligent identification and metering method based on refueling actions and sales transactions, which is applied to the intelligent identification and metering system based on refueling actions and sales transactions described above, and the method includes:

[0062] S101, identifying a corresponding refueling action according to the smart device; wherein the number of the refueling actions is multiple, and the refueling actions are associated with corresponding timestamps and fuel gun information;

[0063] S102, matching corresponding flow parameters from a preset equipment database according to the oil gun information;

[0064] S103, responding to the acquired transaction information, and associating the transaction information with the refueling action;

[0065] S104: If the association is successful, a metering time interval is determined based on the timestamp, and is processed in combination with the traffic parameters to obtain metering data.

[0066] Furthermore, the smart device obtains a corresponding refueling action through image recognition, and the refueling action is based on the refueling process, including the start of refueling, the period of refueling, and the end of refueling;

[0067] Determining the metering time interval specifically includes:

[0068] At the beginning of refueling, the timestamp of the time when the gun is lifted and the timestamp of the time when the gun is inserted into the tank port are obtained according to image recognition, and the timestamp of the time when the gun is inserted into the tank port is used as the start time of the metering time interval;

[0069] At the end of refueling, the timestamp corresponding to when the gun was hung and the timestamp when the oil gun was pulled out of the tank port are obtained according to image recognition, and the timestamp when the oil gun was pulled out of the tank port is used as the end time of the metering time interval.

[0070] In this embodiment, in order to improve the accuracy of the measurement data, the method further includes:

[0071] Obtaining the fuel gun information uploaded by the fuel dispenser, wherein the fuel gun information includes a fuel gun start signal and a fuel gun stop signal; wherein the fuel gun start signal and the fuel gun stop signal both carry corresponding time information;

[0072] calibrating the metering time interval based on the time information;

[0073] The method further comprises:

[0074] Calculate the corresponding oil quantity information based on the transaction information; wherein the transaction information includes the corresponding oil gun information, label information and amount information;

[0075] The oil quantity information is compared with the measurement data, and if the difference between the two exceeds a set threshold, an abnormal alarm is issued.

[0076] It should be noted that for a more specific description of the workflow of the system embodiment, please refer to the aforementioned method embodiment part, which will not be repeated here.

[0077] The entire solution identifies the corresponding refueling action based on the intelligent device, and the refueling action is associated with the corresponding timestamp and fuel gun information; and matches the corresponding flow parameters from the preset device database based on the fuel gun information; then the transaction information is combined and associated with the refueling action; if the association is successful, the metering time interval is determined based on the timestamp, and processed in combination with the flow parameters to obtain metering data; the entire solution gets rid of the collection method that relies on the liquid level meter, and through intelligent identification, it realizes online data processing, realizes the combination and association of refueling actions and sales transactions, and thus improves the metering supervision of gas stations.

[0078] 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.

[0079] 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.

[0080] 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.

[0081] 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. An intelligent identification and metering system based on refueling actions and sales transactions, characterized in that: The system comprises: An identification module, used to identify a corresponding refueling action according to a smart device; wherein the number of the refueling actions is multiple, and the refueling actions are associated with corresponding timestamps and fuel gun information; A matching module, used for matching corresponding flow parameters from a preset equipment database according to the oil gun information; Processing modules for: Responding to the acquired transaction information, and associating the transaction information with the refueling action; If the association is successful, a metering time interval is determined based on the timestamp and processed in combination with the traffic parameters to obtain metering data.

2. The intelligent identification and metering system based on refueling actions and sales transactions as claimed in claim 1, characterized in that: The smart device obtains a corresponding refueling action through image recognition, and the refueling action is based on a refueling process, including the start of refueling, during refueling, and the end of refueling.

3. The intelligent identification and metering system based on refueling actions and sales transactions as claimed in claim 2, characterized in that: The processing module is further used for: At the beginning of refueling, the timestamp of the time when the gun is lifted and the timestamp of the time when the gun is inserted into the tank port are obtained according to image recognition, and the timestamp of the time when the gun is inserted into the tank port is used as the start time of the metering time interval; At the end of refueling, the timestamp corresponding to when the gun was hung and the timestamp when the oil gun was pulled out of the tank port are obtained according to image recognition, and the timestamp when the oil gun was pulled out of the tank port is used as the end time of the metering time interval.

4. The intelligent identification and metering system based on refueling actions and sales transactions as claimed in claim 3, characterized in that: The processing module is further used for: Obtaining the fuel gun information uploaded by the fuel dispenser, wherein the fuel gun information includes a fuel gun start signal and a fuel gun stop signal; wherein the fuel gun start signal and the fuel gun stop signal both carry corresponding time information; The metering time interval is calibrated based on the time information.

5. The intelligent identification and metering system based on refueling actions and sales transactions as claimed in claim 3, characterized in that: The transaction information includes corresponding fuel gun information, label information and amount information; The processing module is further used for: Calculate corresponding oil quantity information based on the transaction information; The oil quantity information is compared with the measurement data, and if the difference between the two exceeds a set threshold, an abnormal alarm is issued.

6. An intelligent identification and measurement method based on refueling actions and sales transactions, characterized in that: The method applied to the intelligent identification and metering system based on refueling actions and sales transactions described in claim 1 comprises: Identify a corresponding refueling action according to the smart device; wherein the number of the refueling actions is multiple, and the refueling actions are associated with corresponding timestamps and fuel gun information; According to the oil gun information, the corresponding flow parameters are matched from a preset equipment database; Responding to the acquired transaction information, and associating the transaction information with the refueling action; If the association is successful, a metering time interval is determined based on the timestamp and processed in combination with the traffic parameters to obtain metering data.

7. The intelligent identification and measurement method based on refueling actions and sales transactions as claimed in claim 6, characterized in that: The smart device obtains a corresponding refueling action through image recognition, and the refueling action is based on a refueling process, including the start of refueling, during refueling, and the end of refueling.

8. The intelligent identification and measurement method based on refueling actions and sales transactions as claimed in claim 7, characterized in that: Determining the metering time interval specifically includes: At the beginning of refueling, the timestamp of the time when the gun is lifted and the timestamp of the time when the gun is inserted into the tank port are obtained according to image recognition, and the timestamp of the time when the gun is inserted into the tank port is used as the start time of the metering time interval; At the end of refueling, the timestamp corresponding to when the gun was hung and the timestamp when the oil gun was pulled out of the tank port are obtained according to image recognition, and the timestamp when the oil gun was pulled out of the tank port is used as the end time of the metering time interval.

9. The intelligent identification and measurement method based on refueling actions and sales transactions as claimed in claim 8, characterized in that: The method further comprises: Obtaining the fuel gun information uploaded by the fuel dispenser, wherein the fuel gun information includes a fuel gun start signal and a fuel gun stop signal; wherein the fuel gun start signal and the fuel gun stop signal both carry corresponding time information; The metering time interval is calibrated based on the time information.

10. An intelligent identification and metering method based on refueling actions and sales transactions as claimed in any one of claims 6 to 9, characterized in that: The method further comprises: Calculate the corresponding oil quantity information based on the transaction information; wherein the transaction information includes the corresponding oil gun information, label information and amount information; The oil quantity information is compared with the measurement data, and if the difference between the two exceeds a set threshold, an abnormal alarm is issued.

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