Method and system for intelligently controlling oil product conversion refueling

Abstract

The invention relates to the field of automatic control, in particular to a method and system for intelligently controlling oil product conversion refueling, and the method comprises the following steps: S1, gas station matching; s2, distributing oiling machine cabinets; s3, oil product conversion; s4, cleaning and emptying; s5, refueling process monitoring: the system obtains the recommendation degree of each gas station route by obtaining the road condition parameters of each gas station, then selects the preferred gas station, distributes the preferred refueling cabinet in combination with each reservable refueling cabinet, judges whether the oil gun needs oil product conversion or not according to the required fuel label of the fuel pre-refueling vehicle, and if yes, the refueling process is monitored. The internal flushing cleanliness of the oil gun pipeline is obtained and fed back by obtaining and analyzing the image of the internal pipeline of the oil gun, and the refueling process evaluation coefficient is obtained and fed back by detecting the refueling process parameters, so that the refueling station can flexibly cope with different oil supply conditions, and it is ensured that proper oil can be provided for vehicles at any time.

Description

Technical Field

[0001] The present invention relates to the field of automatic control, and in particular to a method and system for intelligently controlling oil product conversion and refueling. Background Art

[0002] With the continuous advancement and diversification of automobile technology, different types of vehicles have different requirements for oil products. Intelligent control of oil conversion and refueling can better adapt to this diverse demand. Through an intelligent system, it can accurately match the appropriate oil products for the vehicle and improve the efficiency and accuracy of refueling.

[0003] From an environmental perspective, precise oil matching helps vehicles perform better, reduces the generation of pollutants such as exhaust emissions, and promotes environmental protection. At the same time, intelligent control can also reduce the adverse effects of human operational errors and improve the safety and reliability of the refueling process.

[0004] For example, the existing Chinese patent with application number 202211448995.9 discloses an intelligent control oil product conversion refueling method, system and refueling device. The solution obtains the client's refueling application information and generates an order through the gas station server, and then matches and controls the refueling device to switch the fuel branch for automatic refueling according to the vehicle identification. The refueling device has multiple switchable fuel branches and each branch has a solenoid valve and a refueling pump, etc. The refueling device has branches corresponding to different fuel brands, oil product conversion connectors and refueling guns, etc., and can act according to the control instructions of the server, ensuring the accuracy and safety of refueling, without the need for users to intervene too much in the oil product selection and conversion process.

[0005] However, the above patent has the following problems: the solution does not involve the cleaning and inspection of the internal pipeline when the oil gun is converted. If there are residues of the previously used oil in the pipeline and it is not cleaned up in time, it may cause contamination to the new oil after the conversion and affect the oil quality. At the same time, if there are impurities, sediments or other contaminants inside the pipeline, long-term failure to clean and inspect may cause the pipeline to be blocked, damaged or affect the smoothness and accuracy of refueling. Summary of the invention

[0006] In order to overcome the shortcomings of the background technology, the embodiments of the present invention provide a method and system for intelligently controlling oil product conversion and refueling, which can effectively solve the problems involved in the above-mentioned background technology.

[0007] The purpose of the present invention can be achieved through the following technical solutions: The present invention provides an intelligent control method for oil conversion and refueling, and the specific steps of the method are as follows: S1. Gas station matching: Search for each gas station according to the location of the pre-fueled vehicle, and obtain the road condition parameters of each gas station, analyze the recommendation level of each gas station route, and then select the preferred gas station, the road condition parameters include route distance and route traffic volume.

[0008] S2. Fueling cabinet allocation: Generate refueling orders for pre-fueling vehicles and distribute them to the selected preferred gas stations, and allocate the preferred refueling cabinets for the pre-fueling vehicles based on the various reservable refueling cabinets at the preferred gas stations.

[0009] S3. Oil product conversion: Obtain the current oil product set for the fuel gun of the preferred fueling cabinet, and determine whether oil product conversion is required based on the required fuel grade of the pre-fueled vehicle.

[0010] S4. Cleaning and draining: The internal pipeline image of the oil gun is obtained through the built-in camera, from which the number of different-colored pixels is obtained, and then the internal flushing cleanliness of the oil gun pipeline is analyzed and feedback is given.

[0011] S5. Fueling process monitoring: The flow uniformity and pressure uniformity of refueling are obtained according to the refueling process parameters, and then the refueling process evaluation coefficient is analyzed and fed back. The process parameters include flow and pressure at each time point.

[0012] Preferably, the specific operation method of the road condition parameters of each gas station is as follows: after receiving the refueling application, the cloud server obtains the location of the pre-fueled vehicle, takes the location of the pre-fueled vehicle as the center, and draws a circle with a set distance as the radius, thereby constructing a refueling service area corresponding to the vehicle to be pre-fueled, searches for all gas stations in the refueling service area, and obtains the shortest route between each gas station and the location of the pre-fueled vehicle, and records the shortest route distance from each gas station to the location of the pre-fueled vehicle as the route distance of each gas station ,in Indicates The number of the gas station. .

[0013] The shortest route from each gas station to the location of the pre-refueling vehicle is divided into several equal-length sections according to the preset number of sections, which are recorded as sections of each gas station route. The shortest route from each gas station to the location of the pre-refueling vehicle is divided into several equal-length sections, which are recorded as sections of each gas station route. The shortest route is connected to the traffic monitoring system, and the vehicles on each section of each gas station route in the current monitoring period are captured by the traffic monitoring camera. The total number of vehicles passing through the field of view of the traffic monitoring camera is counted by the vehicle detection and tracking algorithm, which is recorded as the total number of vehicles on each section of each gas station route in the current monitoring period. The traffic flow on each section of each gas station route in the current monitoring period is obtained by dividing the total number of vehicles on each section of each gas station route in the current monitoring period by the length of the current monitoring period, which is recorded as the traffic flow on each section of each gas station route in the current monitoring period. , Indicates The number of the road section, , substituting it into the formula Get the traffic flow of each gas station route , Indicates the number of road segments.

[0014] Preferably, the specific operation method of the gas station matching is: read the route distance of each gas station separately , Traffic flow , substituting it into the formula Get the recommended route for each gas station , They represent the weight factors of the set route distance and traffic flow respectively. Represents a natural constant, sorts the recommendation levels of each gas station route in descending order, records the gas station corresponding to the first gas station route recommendation level as the preferred gas station, and sends the vehicle route of the preferred gas station to the driver of the pre-refueling vehicle.

[0015] Preferably, the specific operation method of the gas cabinet allocation is as follows: the first step is to read the vehicle route of the preferred gas station, calculate the estimated time for the pre-fueled vehicle to arrive at the preferred gas station based on the vehicle route of the preferred gas station, and record it as the order time of the pre-fueled vehicle. The driver selects the required fuel grade of the pre-fueled vehicle by himself, and generates a refueling order for the pre-fueled vehicle based on the order time and required fuel grade of the pre-fueled vehicle, and distributes it to the preferred gas station.

[0016] The second step is to obtain the number of reservable refueling cabinets at the preferred gas station at the time of the order for refueling the vehicle, and locate each reservable refueling cabinet to obtain the distance between each reservable refueling cabinet and the gas station entrance.

[0017] The third step is to simultaneously obtain the oil product currently set at the fuel gun of each reservable gas station cabinet, and match them with the required fuel grade of the pre-fueled vehicle. If the oil product currently set at the fuel gun of a reservable gas station cabinet is consistent with the required fuel grade of the pre-fueled vehicle, the oil product matching degree of the reservable gas station cabinet is recorded as 1; if the oil product currently set at the fuel gun of a reservable gas station cabinet is inconsistent with the required fuel grade of the pre-fueled vehicle, the oil product matching degree of the reservable gas station cabinet is recorded as 0, and the oil product matching degree of each reservable gas station cabinet is counted.

[0018] The fourth step is to obtain the recommendation level of each reservable refueling cabinet based on the distance between each reservable refueling cabinet and the gas station entrance and the oil product matching degree of each reservable refueling cabinet, arrange them in order from large to small, and select the first reservable refueling cabinet as the preferred refueling cabinet to navigate the pre-fueling vehicle.

[0019] Preferably, the specific operation method of the oil product conversion is: after the pre-fueled vehicle enters the refueling area of ​​the preferred refueling cabinet, the oil product matching degree of the preferred refueling cabinet is extracted from the oil product matching degrees of each reservable refueling cabinet. If the oil product matching degree of the preferred refueling cabinet is 1, no oil product conversion is required. If the oil product matching degree of the preferred refueling cabinet is 0, the oil gun needs to be cleaned and emptied and the oil product conversion is performed.

[0020] Preferably, the specific operation method of the cleaning and emptying is: draining the old oil remaining in the oil gun of the preferred fuel dispenser cabinet, and delivering the cleaning liquid to the internal pipeline of the oil gun through the cleaning liquid delivery pump for flushing, and after the flushing is completed, the internal pipeline of the oil gun is imaged by the built-in camera, recorded as the internal pipeline image of the oil gun, and the chromaticity value of each pixel point of the internal pipeline image of the oil gun is detected, recorded as , Indicates The number of pixels, , the average chromaticity value of the pixel points in the internal pipeline image of the oil gun is obtained by taking the average chromaticity value of each pixel point in the internal pipeline image of the oil gun, which is recorded as , through the formula Get the color difference of each pixel in the pipeline image inside the oil gun , compare it with the preset chromaticity difference threshold, filter out the pixels in the internal pipeline image of the oil gun whose chromaticity difference is greater than or equal to the preset chromaticity difference threshold, and record their number as the number of heterochromatic pixels .

[0021] The total number of pixels of the pipeline image inside the oil gun is extracted and recorded as , substituting it into the formula Get the internal flushing cleanliness of the oil gun pipeline , compare the internal flushing cleanliness of the oil gun pipeline with the preset cleanliness threshold. If the internal flushing cleanliness of the oil gun pipeline is greater than or equal to the preset cleanliness threshold, it means that the internal flushing cleanliness of the oil gun pipeline is qualified and the next step of refueling can be carried out. If the internal flushing cleanliness of the oil gun pipeline is less than the preset cleanliness threshold, it means that the internal flushing cleanliness of the oil gun pipeline is unqualified, and the internal pipeline of the oil gun is flushed and cleaned again until the internal flushing cleanliness of the oil gun pipeline is qualified.

[0022] Preferably, the specific analysis method of the refueling process parameters is: reading the initial fuel volume of the pre-fueled vehicle tank, recorded as , and select several time points during the refueling process according to the set interval length, and detect the amount of fuel in the fuel tank of the pre-filled vehicle at each time point, recorded as , Indicates The number of the time point, , through the formula Get the increase in fuel tank at each time point , Indicates The amount of fuel in the fuel tank of the fuel vehicle pre-filled at a time point, and the set interval length is extracted at the same time, recorded as , through the formula Get the flow rate at each time point of refueling At the same time, the pressure sensor is used to detect the pressure at each time point of refueling, which is recorded as .

[0023] Preferably, the specific analysis method of the flow uniformity and pressure uniformity of refueling is: reading the flow rate at each time point of refueling respectively ,pressure , the unit time point flow rate of refueling is obtained by taking the average value of the flow rate at each time point of refueling, which is recorded as , substituting it into the formula Get the uniformity of refueling flow , Represents the number of time points. According to the method of analyzing the uniformity of refueling flow, the pressure at each time point of refueling is analyzed to obtain the uniformity of refueling pressure, which is recorded as .

[0024] Preferably, the specific operation method of the refueling process monitoring is: reading the uniformity of the refueling flow rate respectively , Pressure uniformity , through the formula Get the refueling process evaluation coefficient ,in The weight factors of the preset flow uniformity and pressure uniformity are respectively represented, and the refueling process evaluation coefficient is compared with the preset refueling process evaluation coefficient threshold. If the refueling process evaluation coefficient is greater than or equal to the preset refueling process evaluation coefficient threshold, it means that the refueling process evaluation coefficient is qualified. If the refueling process evaluation coefficient is less than the preset refueling process evaluation coefficient threshold, it means that the refueling process evaluation coefficient is unqualified, and feedback is given.

[0025] Preferably, the present invention provides an intelligent control oil product conversion refueling system, including: a gas station matching module, which is used to search for each gas station according to the location of the pre-refueling vehicle, and obtain the road condition parameters of each gas station, analyze the recommendation level of each gas station route, and then select the preferred gas station, the road condition parameters include route distance, route traffic volume.

[0026] The refueling cabinet allocation module is used to generate refueling orders for pre-refueling vehicles and distribute them to the selected preferred refueling stations, and allocate the preferred refueling cabinets to the pre-refueling vehicles based on the various reservable refueling cabinets at the preferred refueling stations.

[0027] The fuel conversion module is used to obtain the current fuel gun setting fuel of the preferred fueling cabinet, and determine whether fuel conversion is required based on the required fuel grade of the pre-fueled vehicle.

[0028] The cleaning and emptying module is used to obtain the image of the internal pipeline of the oil gun through the built-in camera, obtain the number of different-colored pixels, and then analyze the internal flushing cleanliness of the oil gun pipeline and provide feedback.

[0029] The refueling process monitoring module is used to obtain the refueling process parameters, analyze the refueling process evaluation coefficient, and provide feedback. The process parameters include flow uniformity and pressure uniformity.

[0030] The management database is used to store preset weight factors of flow uniformity and pressure uniformity.

[0031] Compared with the prior art, the embodiments of the present invention have at least the following advantages or beneficial effects: 1. The present invention obtains the recommendation level of each gas station route by acquiring the road condition parameters of each gas station, and then selects the preferred gas station. At the same time, the preferred gas station's reservable gas cabinets are combined to allocate the preferred gas cabinet to the pre-fueled vehicle, ensuring that users can quickly find the most suitable gas station and refuel in time, thereby improving refueling efficiency and reducing vehicle waiting time.

[0032] 2. The present invention pre-fills the required fuel grade of the fuel vehicle, and then determines whether the fuel gun needs to be converted to a fuel product, thereby ensuring that the vehicle uses fuel of the correct grade, which is beneficial to the normal operation and performance of the engine and prolongs the engine life.

[0033] 3. The present invention obtains the internal pipeline image of the fuel gun for analysis and obtains the internal flushing cleanliness of the fuel gun pipeline and provides feedback, thereby ensuring the purity of the fuel during refueling and preventing impurities from causing adverse effects on the vehicle.

[0034] 4. The present invention detects the refueling process parameters, obtains the refueling process evaluation coefficient and provides feedback thereon, thereby ensuring that the refueling operation meets the standards and requirements, improving the speed and efficiency of refueling, ensuring the safety and stability of refueling, and facilitating better management and optimization of services at gas stations. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for describing the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0036] Figure 1 The present invention is a flow chart of a method for intelligently controlling oil product conversion and refueling.

[0037] Figure 2 for Figure 1 Schematic diagram of the process of step S2 in FIG.

[0038] Figure 3 This is a module connection diagram of an intelligently controlled oil conversion refueling system. DETAILED DESCRIPTION

[0039] 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 only 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.

[0040] See also Figure 1 As shown, in addition, the present invention provides an intelligent control oil product conversion refueling method, the specific steps of the method are as follows: S1. Gas station matching: search for each gas station according to the location of the pre-fueled vehicle, and obtain the road condition parameters of each gas station, analyze and obtain the recommendation degree of each gas station route, and then select the preferred gas station, the road condition parameters include route distance, route traffic volume.

[0041] The specific operation method of the road condition parameters of each gas station is as follows: after receiving the refueling application, the cloud server obtains the location of the pre-fueling vehicle, takes the location of the pre-fueling vehicle as the center, and draws a circle according to the set distance as the radius, thereby constructing the refueling service area corresponding to the vehicle to be pre-fueled, searches for all gas stations in the refueling service area, and obtains the shortest route between each gas station and the location of the pre-fueling vehicle, and records the shortest route distance from each gas station to the location of the pre-fueling vehicle as the route distance of each gas station ,in Indicates The number of the gas station. It can quickly and accurately determine the range of gas stations that can provide services around the pre-fueled vehicles, which improves the intelligence and convenience of refueling services and improves user experience.

[0042] The shortest route from each gas station to the location of the pre-refueling vehicle is divided into several equal-length sections according to the preset number of sections, which are recorded as sections of each gas station route. The shortest route from each gas station to the location of the pre-refueling vehicle is divided into several equal-length sections, which are recorded as sections of each gas station route. The shortest route is connected to the traffic monitoring system, and the vehicles on each section of each gas station route in the current monitoring period are captured by the traffic monitoring camera. The total number of vehicles passing through the field of view of the traffic monitoring camera is counted by the vehicle detection and tracking algorithm, which is recorded as the total number of vehicles on each section of each gas station route in the current monitoring period. The traffic flow on each section of each gas station route in the current monitoring period is obtained by dividing the total number of vehicles on each section of each gas station route in the current monitoring period by the length of the current monitoring period, which is recorded as the traffic flow on each section of each gas station route in the current monitoring period. , Indicates The number of the road section, , substituting it into the formula Get the traffic flow of each gas station route , Indicates the number of road sections; provides more accurate road condition information for pre-fueling vehicles, helping drivers choose a smoother route to the gas station.

[0043] It should be noted that the specific analysis method for the total number of vehicles on each section of each gas station route during the current monitoring time period is as follows: each section of each gas station route is divided into a number of equal-sized areas, and two specific positions are selected in each area to set a virtual detection line-in and a virtual detection line-out respectively, and the vehicles passing through the virtual detection line-in and the virtual detection line-out during the current monitoring time period are counted by traffic monitoring cameras, and the number of vehicles in each area of ​​each section of each gas station route during the current monitoring time period is obtained by subtracting them, and then the total number of vehicles in each section of each gas station route during the current monitoring time period is obtained by accumulating the number of vehicles in each area of ​​each section of each gas station route during the current monitoring time period.

[0044] The specific operation method of the gas station matching is: read the route distance of each gas station respectively , Traffic flow , substituting it into the formula Get the recommended route for each gas station , They represent the weight factors of the set route distance and traffic flow respectively. Represents a natural constant, sorts the recommendation levels of each gas station route in descending order, records the gas station corresponding to the first gas station route recommendation level as the preferred gas station, and sends the vehicle route of the preferred gas station to the driver of the pre-refueling vehicle; this allows the driver to find a better balance between distance and road conditions, and improves the efficiency and convenience of refueling.

[0045] It should be noted that, in a specific embodiment, It can be set to 0.6. It can be set to 0.4. For most users, a shorter route distance means less time and energy consumption, which can directly affect the user's usage cost and convenience. Although traffic flow will affect the smoothness of driving, sometimes users may be willing to bear a certain degree of traffic pressure for a shorter distance. In addition, traffic flow may change over time and is not as stable as route distance. Therefore, the weight corresponding to route distance is higher.

[0046] S2. Fueling cabinet allocation: Generate refueling orders for pre-fueling vehicles and distribute them to the selected preferred gas stations, and allocate the preferred refueling cabinets for the pre-fueling vehicles based on the various reservable refueling cabinets at the preferred gas stations.

[0047] See also Figure 2 As shown, the specific operation method of the gas cabinet allocation is: the first step is to read the vehicle route of the preferred gas station, calculate the estimated time for the pre-fueled vehicle to arrive at the preferred gas station according to the vehicle route of the preferred gas station, and record it as the order time of the pre-fueled vehicle. The driver selects the required fuel grade of the pre-fueled vehicle by himself, and generates a refueling order for the pre-fueled vehicle according to the order time and the required fuel grade of the pre-fueled vehicle, and distributes it to the preferred gas station; clarifying the required fuel grade and generating the order in advance helps to avoid errors or confusion during refueling and ensure the accuracy of refueling.

[0048] It should be noted that the required fuel grade for the pre-fueled vehicle selected by the driver can be selected in a variety of ways, including operating and selecting through the touch screen in the car, using voice commands to interact with the vehicle system, using physical buttons to switch options, etc.

[0049] The second step is to obtain the number of refueling cabinets that can be reserved at the preferred gas station at the time of the order for pre-fueling vehicles, and locate each reservable refueling cabinet to obtain the distance between each reservable refueling cabinet and the gas station entrance; clarifying the distance information between each cabinet and the gas station entrance will help drivers choose a more convenient cabinet based on their actual situation.

[0050] The third step is to simultaneously obtain the oil products currently set in the fuel guns of each reservable fueling cabinet, and match them with the required fuel grades of the pre-fueled vehicles. If the oil product currently set in the fuel gun of a reservable fueling cabinet is consistent with the required fuel grade of the pre-fueled vehicle, the oil product matching degree of the reservable fueling cabinet is recorded as 1; if the oil product currently set in the fuel gun of a reservable fueling cabinet is inconsistent with the required fuel grade of the pre-fueled vehicle, the oil product matching degree of the reservable fueling cabinet is recorded as 0, and the oil product matching degrees of each reservable fueling cabinet are counted to ensure that the vehicle can accurately add the required grade of fuel, avoid the occurrence of wrong fueling, and improve the accuracy and safety of refueling.

[0051] The fourth step is to obtain the recommendation level of each reservable refueling cabinet based on the distance between each reservable refueling cabinet and the gas station entrance and the oil product matching degree of each reservable refueling cabinet, arrange them in order from large to small, and select the first reservable refueling cabinet as the preferred refueling cabinet to navigate for the pre-fueling vehicle; ensure that the vehicle can quickly and accurately find the most suitable refueling location, reduce unnecessary searching and waiting time, and at the same time, navigation for the vehicle can further improve convenience and user experience, making the entire refueling process smoother and smarter.

[0052] It should be noted that the specific analysis method of the recommendation degree of each reservable refueling cabinet is: respectively read the distance between each reservable refueling cabinet and the entrance of the gas station, and the oil product matching degree of each reservable refueling cabinet, recorded as , Indicates Reservable refueling cabinets, , substituting it into the formula Get the recommended level of each reservable refueling cabinet ,in They respectively represent the distance between the preset reservable refueling cabinet and the entrance of the gas station, and the weight factor of the oil product matching degree of the reservable refueling cabinet. Indicates the number of refueling cabinets that can be reserved. Represents a natural constant.

[0053] It should be noted that, in a specific embodiment, It can be set to 0.7. It can be set to 0.3. The distance will directly affect the convenience and time cost of users going to refuel. If the distance is too far, users may need to spend more time and energy to get there, which may reduce the user's willingness to choose the cabinet. Therefore, the weight corresponding to the distance between the refueling cabinet and the gas station entrance can be higher.

[0054] S3. Oil product conversion: Obtain the current oil product set for the fuel gun of the preferred fueling cabinet, and determine whether oil product conversion is required based on the required fuel grade of the pre-fueled vehicle.

[0055] The specific operation method of the oil product conversion is as follows: after the pre-fueled vehicle enters the refueling area of ​​the preferred refueling cabinet, the oil product matching degree of the preferred refueling cabinet is extracted from the oil product matching degrees of each reservable refueling cabinet. If the oil product matching degree of the preferred refueling cabinet is 1, no oil product conversion is required. If the oil product matching degree of the preferred refueling cabinet is 0, the fuel gun needs to be cleaned and emptied and the oil product conversion is performed. This can ensure that after the vehicle enters the refueling area, it can accurately judge whether the oil product matches. If it does not match, it is cleaned, emptied and converted in time, thereby ensuring that the vehicle can be filled with fuel of the correct grade, avoiding the occurrence of wrong oil filling, and improving the accuracy and safety of refueling.

[0056] S4. Cleaning and draining: The internal pipeline image of the oil gun is obtained through the built-in camera, from which the number of different-colored pixels is obtained, and then the internal flushing cleanliness of the oil gun pipeline is analyzed and feedback is given.

[0057] The specific operation method of the cleaning and emptying is: the old oil remaining in the oil gun of the preferred fuel dispenser cabinet is discharged, and the cleaning liquid is delivered to the internal pipeline of the oil gun by a cleaning liquid delivery pump for flushing. After the flushing is completed, an image of the internal pipeline of the oil gun is obtained by a built-in camera, which is recorded as the internal pipeline image of the oil gun, and the chromaticity value of each pixel point of the internal pipeline image of the oil gun is detected, which is recorded as , Indicates The number of pixels, , the average chromaticity value of the pixel points in the internal pipeline image of the oil gun is obtained by taking the average chromaticity value of each pixel point in the internal pipeline image of the oil gun, which is recorded as , through the formula Get the color difference of each pixel in the pipeline image inside the oil gun , compare it with the preset chromaticity difference threshold, filter out the pixels in the internal pipeline image of the oil gun whose chromaticity difference is greater than or equal to the preset chromaticity difference threshold, and record their number as the number of heterochromatic pixels It helps to scientifically judge whether the cleaning effect meets the requirements, thereby ensuring that the quality of the subsequent refueling oil is not affected.

[0058] The total number of pixels of the pipeline image inside the oil gun is extracted and recorded as , substituting it into the formula Get the internal flushing cleanliness of the oil gun pipeline , compare the internal flushing cleanliness of the fuel gun pipeline with the preset cleanliness threshold. If the internal flushing cleanliness of the fuel gun pipeline is greater than or equal to the preset cleanliness threshold, it means that the internal flushing cleanliness of the fuel gun pipeline is qualified and the next step of refueling can be carried out. If the internal flushing cleanliness of the fuel gun pipeline is less than the preset cleanliness threshold, it means that the internal flushing cleanliness of the fuel gun pipeline is unqualified. The internal pipeline of the fuel gun is flushed and cleaned again until the internal flushing cleanliness of the fuel gun pipeline is qualified; the accuracy and reliability of subsequent refueling operations are guaranteed, and oil mixing or other adverse consequences caused by pipeline residue problems are avoided, which improves the professionalism and standardization of gas station services.

[0059] The specific analysis method of the refueling process parameters is as follows: read the initial fuel volume of the pre-fueled vehicle tank, recorded as , and select several time points during the refueling process according to the set interval length, and detect the amount of fuel in the fuel tank of the pre-filled vehicle at each time point, recorded as , Indicates The number of the time point, , through the formula Get the increase in fuel tank at each time point , Indicates The amount of fuel in the fuel tank of the fuel vehicle pre-filled at a time point, and the set interval length is extracted at the same time, recorded as , through the formula Get the flow rate at each time point of refueling At the same time, the pressure sensor is used to detect the pressure at each time point of refueling, which is recorded as ; It can promptly discover possible problems that may occur during the refueling process, such as abnormal oil volume, abnormal pressure, etc., so as to deal with them in time and improve safety.

[0060] S5. Fueling process monitoring: The flow uniformity and pressure uniformity of refueling are obtained according to the refueling process parameters, and then the refueling process evaluation coefficient is analyzed and fed back. The process parameters include flow and pressure at each time point.

[0061] The specific analysis method of the flow uniformity and pressure uniformity of refueling is: read the flow rate at each time point of refueling respectively ,pressure , the unit time point flow rate of refueling is obtained by taking the average value of the flow rate at each time point of refueling, which is recorded as , substituting it into the formula Get the uniformity of refueling flow , Represents the number of time points. According to the method of analyzing the uniformity of refueling flow, the pressure at each time point of refueling is analyzed to obtain the uniformity of refueling pressure, which is recorded as ; Be able to detect uneven flow or pressure in time so that appropriate measures can be taken to adjust and optimize and ensure the normal operation and safety of the equipment.

[0062] The specific operation method of the refueling process monitoring is: read the uniformity of the refueling flow respectively , Pressure uniformity , through the formula Get the refueling process evaluation coefficient ,in The weight factors of the preset flow uniformity and pressure uniformity are respectively represented, and the refueling process evaluation coefficient is compared with the preset refueling process evaluation coefficient threshold. If the refueling process evaluation coefficient is greater than or equal to the preset refueling process evaluation coefficient threshold, it means that the refueling process evaluation coefficient is qualified. If the refueling process evaluation coefficient is less than the preset refueling process evaluation coefficient threshold, it means that the refueling process evaluation coefficient is unqualified, and feedback is given to it; it helps to improve the quality and efficiency of refueling, ensure the safety and stability of refueling, and is also conducive to better management and optimization of services of gas stations.

[0063] It should be noted that, in a specific embodiment, It can be set to 0.6. It can be set to 0.4. The uniformity of flow is directly related to the refueling efficiency and stability. If the flow is uneven, the refueling process may not be smooth and the time may be prolonged. It may even affect the normal operation and service life of the refueling equipment, which has a greater impact on the entire refueling experience. The uniformity of pressure will affect the safety of refueling and the impact on the vehicle. However, in practice, as long as the pressure fluctuates within a reasonable range, its impact may not be as direct and critical as the uniformity of flow. Therefore, the weight corresponding to the uniformity of flow is higher.

[0064] See also Figure 3 As shown, an intelligent control oil conversion refueling system includes a gas station matching module, a refueling cabinet allocation module, an oil conversion module, a cleaning and emptying module, a refueling process monitoring module, and a management database.

[0065] The management database is connected to the gas station matching module, the fuel cabinet allocation module, the oil product conversion module, the cleaning and emptying module, and the fueling process monitoring module. The oil product conversion module is connected to the cleaning and emptying module, the gas station matching module is connected to the fuel cabinet allocation module, and the cleaning and emptying module is connected to the fueling process monitoring module.

[0066] The gas station matching module is used to search for gas stations based on the location of the pre-refueling vehicle, obtain the road condition parameters of each gas station, analyze the recommendation level of each gas station route, and then select the preferred gas station. The road condition parameters include route distance and route traffic volume.

[0067] The refueling cabinet allocation module is used to generate refueling orders for pre-refueling vehicles and distribute them to the selected preferred refueling stations, and allocate the preferred refueling cabinets to the pre-refueling vehicles based on the various reservable refueling cabinets at the preferred refueling stations.

[0068] The fuel conversion module is used to obtain the current fuel gun setting fuel of the preferred fueling cabinet, and determine whether fuel conversion is required based on the required fuel grade of the pre-fueled vehicle.

[0069] The cleaning and emptying module is used to obtain the image of the internal pipeline of the oil gun through the built-in camera, obtain the number of different-colored pixels, and then analyze the internal flushing cleanliness of the oil gun pipeline and provide feedback.

[0070] The refueling process monitoring module is used to obtain the refueling process parameters, analyze the refueling process evaluation coefficient, and provide feedback. The process parameters include flow uniformity and pressure uniformity.

[0071] The management database is used to store preset weight factors of flow uniformity and pressure uniformity.

[0072] This system obtains the road condition parameters of each gas station to obtain the recommendation level of each gas station route, and then selects the preferred gas station. At the same time, it allocates the preferred gas station cabinet based on the reservable gas station cabinets, and determines whether the fuel gun needs to be converted by the required fuel grade of the pre-fueled vehicle. By obtaining the image of the internal pipeline of the fuel gun, the internal flushing cleanliness of the fuel gun pipeline is obtained and feedback is given. By testing the process parameters of refueling, the refueling process evaluation coefficient is obtained and feedback is given. It can ensure that the refueling operation meets the standards and requirements, improve the speed and efficiency of refueling, ensure the safety and stability of refueling, and facilitate better management and optimization of gas stations.

[0073] Although the embodiments of the present invention have been shown and described above, it is to be understood that the above embodiments are exemplary and are not to be construed as limitations on the present invention. A person skilled in the art may make changes, modifications, substitutions and variations to the above embodiments within the scope of the present invention and they are still covered by the protection scope of the present invention.

Claims

1. A method for intelligently controlling oil product conversion and refueling, characterized in that: The specific steps of the control method are as follows: S1. Gas station matching: Search for each gas station based on the location of the vehicle to be refueled, obtain the road condition parameters of each gas station, analyze the recommendation level of each gas station route, and then select the preferred gas station. The road condition parameters include route distance and route traffic volume; S2. Fueling cabinet allocation: Generate a refueling order for a pre-fueled vehicle and distribute it to the selected preferred gas stations, and allocate the preferred refueling cabinet to the pre-fueled vehicle based on the reservable refueling cabinets at the preferred gas station; S3. Oil product conversion: obtain the current oil product set by the fuel gun of the preferred fueling cabinet, and determine whether oil product conversion is required based on the required fuel grade of the pre-fueled vehicle; S4. Cleaning and emptying: The internal pipeline image of the oil gun is obtained through the built-in camera, from which the number of pixels of different colors is obtained, and then the internal flushing cleanliness of the oil gun pipeline is analyzed and feedback is given; S5. Fueling process monitoring: The flow uniformity and pressure uniformity of refueling are obtained according to the refueling process parameters, and then the refueling process evaluation coefficient is analyzed and fed back. The process parameters include flow and pressure at each time point.

2. The method for intelligently controlling oil product conversion and refueling according to claim 1 is characterized in that: The specific operation method of the road condition parameters of each gas station is as follows: After receiving the refueling application, the cloud server obtains the location of the pre-refueling vehicle, and constructs a refueling service area corresponding to the pre-refueling vehicle with the location of the pre-refueling vehicle as the center and a circle with the set distance as the radius. It searches for all gas stations in the refueling service area, obtains the shortest route between each gas station and the location of the pre-refueling vehicle, and records the shortest route distance from each gas station to the location of the pre-refueling vehicle as the route distance of each gas station. ,in Indicates The number of the gas station. ; The shortest route from each gas station to the location of the pre-refueling vehicle is divided into several equal-length sections according to the preset number of sections, which are recorded as sections of each gas station route. The shortest route from each gas station to the location of the pre-refueling vehicle is divided into several equal-length sections, which are recorded as sections of each gas station route. The shortest route is connected to the traffic monitoring system, and the vehicles on each section of each gas station route in the current monitoring period are captured by the traffic monitoring camera. The total number of vehicles passing through the field of view of the traffic monitoring camera is counted by the vehicle detection and tracking algorithm, which is recorded as the total number of vehicles on each section of each gas station route in the current monitoring period. The traffic flow on each section of each gas station route in the current monitoring period is obtained by dividing the total number of vehicles on each section of each gas station route in the current monitoring period by the length of the current monitoring period, which is recorded as the traffic flow on each section of each gas station route in the current monitoring period. , Indicates The number of the road section, , substituting it into the formula Get the traffic flow of each gas station route , Indicates the number of road segments.

3. The method for intelligently controlling oil product conversion and refueling according to claim 2 is characterized in that: The specific operation method of the gas station matching is as follows: Read the route distance of each gas station separately , Traffic flow , substituting it into the formula Get the recommended route for each gas station , They represent the weight factors of the set route distance and traffic flow respectively. Represents a natural constant, sorts the recommendation levels of each gas station route in descending order, records the gas station corresponding to the first gas station route recommendation level as the preferred gas station, and sends the vehicle route of the preferred gas station to the driver of the pre-refueling vehicle.

4. The method for intelligently controlling oil product conversion and refueling according to claim 3 is characterized in that: The specific operation method of the refueling cabinet allocation is as follows: The first step is to read the vehicle route of the preferred gas station, calculate the estimated time for the pre-fueling vehicle to arrive at the preferred gas station based on the vehicle route of the preferred gas station, and record it as the order time of the pre-fueling vehicle. The driver selects the required fuel grade of the pre-fueling vehicle by himself, and generates a refueling order for the pre-fueling vehicle based on the order time and required fuel grade of the pre-fueling vehicle, and dispatches it to the preferred gas station; The second step is to obtain the number of reservable refueling cabinets at the preferred gas station at the time of the order for the pre-fueling vehicle, and locate each reservable refueling cabinet to obtain the distance between each reservable refueling cabinet and the gas station entrance; The third step is to simultaneously obtain the oil products currently set in the fuel guns of each reservable fueling cabinet, and match them with the required fuel grades of the pre-fueling vehicles. If the oil product currently set in the fuel gun of a reservable fueling cabinet is consistent with the required fuel grade of the pre-fueling vehicle, the oil product matching degree of the reservable fueling cabinet is recorded as 1; if the oil product currently set in the fuel gun of a reservable fueling cabinet is inconsistent with the required fuel grade of the pre-fueling vehicle, the oil product matching degree of the reservable fueling cabinet is recorded as 0, and the oil product matching degree of each reservable fueling cabinet is counted; The fourth step is to obtain the recommendation level of each reservable refueling cabinet based on the distance between each reservable refueling cabinet and the gas station entrance and the oil product matching degree of each reservable refueling cabinet, arrange them in order from large to small, and select the first reservable refueling cabinet as the preferred refueling cabinet to navigate the pre-fueling vehicle.

5. The method for intelligently controlling oil product conversion and refueling according to claim 4 is characterized in that: The specific operation method of the oil conversion is as follows: After the pre-fueled vehicle enters the refueling area of ​​the preferred refueling cabinet, the oil product matching degree of the preferred refueling cabinet is extracted from the oil product matching degrees of each reservable refueling cabinet. If the oil product matching degree of the preferred refueling cabinet is 1, no oil product conversion is required. If the oil product matching degree of the preferred refueling cabinet is 0, the fuel gun needs to be cleaned and emptied and the oil product conversion needs to be performed.

6. The method for intelligently controlling oil product conversion and refueling according to claim 5 is characterized in that: The specific operation method of the cleaning and emptying is: The old oil remaining in the oil gun of the preferred fuel dispenser cabinet is discharged, and the cleaning liquid is delivered to the internal pipeline of the oil gun through the cleaning liquid delivery pump for flushing. After flushing, the internal pipeline of the oil gun is imaged through the built-in camera, which is recorded as the internal pipeline image of the oil gun. The chromaticity value of each pixel point of the internal pipeline image of the oil gun is detected, which is recorded as , Indicates The number of pixels, , the average chromaticity value of the pixel points in the internal pipeline image of the oil gun is obtained by taking the average chromaticity value of each pixel point in the internal pipeline image of the oil gun, which is recorded as , through the formula Get the color difference of each pixel in the pipeline image inside the oil gun , compare it with the preset chromaticity difference threshold, filter out the pixels in the internal pipeline image of the oil gun whose chromaticity difference is greater than or equal to the preset chromaticity difference threshold, and record their number as the number of heterochromatic pixels ; The total number of pixels of the pipeline image inside the oil gun is extracted and recorded as , substituting it into the formula Get the internal flushing cleanliness of the oil gun pipeline , compare the internal flushing cleanliness of the oil gun pipeline with the preset cleanliness threshold. If the internal flushing cleanliness of the oil gun pipeline is greater than or equal to the preset cleanliness threshold, it means that the internal flushing cleanliness of the oil gun pipeline is qualified and the next step of refueling can be carried out. If the internal flushing cleanliness of the oil gun pipeline is less than the preset cleanliness threshold, it means that the internal flushing cleanliness of the oil gun pipeline is unqualified, and the internal pipeline of the oil gun is flushed and cleaned again until the internal flushing cleanliness of the oil gun pipeline is qualified.

7. The method for intelligently controlling oil product conversion and refueling according to claim 1 is characterized in that: The specific analysis method of the refueling process parameters is as follows: Read the initial fuel volume of the pre-fueled vehicle tank, recorded as , and select several time points during the refueling process according to the set interval length, and detect the amount of fuel in the fuel tank of the pre-filled vehicle at each time point, recorded as , Indicates The number of the time point, , through the formula Get the increase in fuel tank at each time point , Indicates The amount of fuel in the fuel tank of the fuel vehicle pre-filled at a time point, and the set interval length is extracted at the same time, recorded as , through the formula Get the flow rate at each time point of refueling At the same time, the pressure sensor is used to detect the pressure at each time point of refueling, which is recorded as .

8. The method for intelligently controlling oil product conversion and refueling according to claim 7 is characterized in that: The specific analysis method of the flow uniformity and pressure uniformity of the refueling is as follows: Read the flow rate at each time point of refueling ,pressure , the unit time point flow rate of refueling is obtained by taking the average value of the flow rate at each time point of refueling, which is recorded as , substituting it into the formula Get the uniformity of refueling flow , Represents the number of time points. According to the method of analyzing the uniformity of refueling flow, the pressure at each time point of refueling is analyzed to obtain the uniformity of refueling pressure, which is recorded as .

9. The method for intelligently controlling oil product conversion and refueling according to claim 8 is characterized in that: The specific operation method of the refueling process monitoring is as follows: Read the uniformity of refueling flow respectively , Pressure uniformity , through the formula Get the refueling process evaluation coefficient ,in The weight factors of the preset flow uniformity and pressure uniformity are respectively represented, and the refueling process evaluation coefficient is compared with the preset refueling process evaluation coefficient threshold. If the refueling process evaluation coefficient is greater than or equal to the preset refueling process evaluation coefficient threshold, it means that the refueling process evaluation coefficient is qualified. If the refueling process evaluation coefficient is less than the preset refueling process evaluation coefficient threshold, it means that the refueling process evaluation coefficient is unqualified, and feedback is given.

10. A system for intelligently controlling oil conversion and refueling, characterized in that: The system specifically includes the following modules: The gas station matching module is used to search for each gas station according to the location of the pre-fueled vehicle, obtain the road condition parameters of each gas station, analyze the recommendation degree of each gas station route, and then select the preferred gas station. The road condition parameters include route distance and route traffic volume; The refueling cabinet allocation module is used to generate refueling orders for pre-refueling vehicles and distribute them to the selected preferred refueling stations, and allocate the preferred refueling cabinets to the pre-refueling vehicles in combination with the reservable refueling cabinets of the preferred refueling stations; The fuel conversion module is used to obtain the current fuel gun setting fuel of the preferred fueling cabinet and determine whether the fuel conversion is required according to the required fuel grade of the pre-fueling vehicle; The cleaning and emptying module is used to obtain the internal pipeline image of the oil gun through the built-in camera, obtain the number of different-color pixels, and then analyze the internal flushing cleanliness of the oil gun pipeline and provide feedback; The refueling process monitoring module is used to obtain the refueling process parameters, analyze and obtain the refueling process evaluation coefficient, and provide feedback. The process parameters include flow uniformity and pressure uniformity; The management database is used to store preset weight factors of flow uniformity and pressure uniformity.

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