CN116777175B - Wisdom adds oil statistics data analysis management cloud platform - Google Patents
Wisdom adds oil statistics data analysis management cloud platform Download PDFInfo
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Abstract
The invention belongs to the technical field of oiling management, and particularly discloses an intelligent oiling statistical data analysis management cloud platform, which comprises a historical oiling data extraction module, a gas station environment information acquisition module, an oil body state analysis module, an oil outlet state analysis module, a vehicle oiling type confirmation module, a vehicle oiling speed analysis terminal and a vehicle oiling speed feedback terminal, wherein the historical oiling data extraction module is used for extracting oil from a vehicle; according to the invention, the adaptive oiling speed corresponding to the current vehicle to be oiled is confirmed according to the oil state and the oil outlet state corresponding to each oil type, so that the problem that the specific oiling process of the gas station is not managed at present is effectively solved, the limitation of the current fixed oiling speed is avoided, the targeted oiling of the oiling vehicles with different oil types is realized, the oiling efficiency of the oiling vehicles with different oil types is ensured, the oiling experience of a user is improved, the oiling safety of the vehicle is ensured, and the defect in the operation management process of the intelligent gas station is overcome.
Description
Technical Field
The invention belongs to the technical field of oiling management, and relates to an intelligent oiling statistical data analysis management cloud platform.
Background
Wisdom refuels and is the mode of refueling based on intelligent technique, through applying intelligent technique, realizes the automation and the intellectuality of filling station's service of refueling, has improved the efficiency of filling station and customer's experience, and the operation data of filling station has directly reflected its operational aspect, therefore, carries out statistical analysis and the importance of management to its operation data and goes without saying.
At present, statistics of corresponding data of an intelligent oiling mode is mainly performed on oiling data, so that consumption habits, different oil sales amounts, passenger flow trends and the like of an intelligent filling station are analyzed, operation of the intelligent filling station is managed, and obviously, the intelligent filling station belongs to operation management in the whole direction at present, and the operation process in the specific oiling process is not managed, and obviously, the current management mode also has the following problems: 1. the oiling speed in the oiling process directly influences the oiling efficiency of a user, and further directly influences the oiling experience of the user, the fixed oiling speed is adopted currently, the oiling experience of the user cannot be guaranteed because the fixed oiling speed is not regulated according to the oil state.
2. The refuel speed in the refuel process directly influences the security that the car refuels, does not carry out comprehensive analysis according to oil condition and refuel condition at present for the security that the car refuels can not obtain powerful guarantee, also can't reduce the fire control potential safety hazard in the car refuels the in-process simultaneously, makes the operation management of wisdom filling station still have certain deficiency.
3. The loss condition that the in-process refuels of filling station had directly been influenced to the refuel speed of refuelling, and the equipment loss and the condition that different refuelling speeds correspond are different, do not carry out refuelling speed management at the present period for the refuelling loss of filling station can not obtain effective control, still can't reduce the loss degree of charge pump and nozzle simultaneously, and then can't ensure the life of oil pump and nozzle.
Disclosure of Invention
In view of this, in order to solve the problems set forth in the above background art, an intelligent oiling statistics analysis management cloud platform is proposed.
The aim of the invention can be achieved by the following technical scheme: the invention provides an intelligent oiling statistical data analysis management cloud platform, which comprises the following components: and the historical refueling data extraction module is used for extracting the accumulated storage duration of each oil body type in the target intelligent gas station and the historical refueling data in the set monitoring period.
The gas station environment information acquisition module is used for acquiring the external environment information corresponding to each monitoring day and the current environment information corresponding to each oil body type and oil gun port of the target intelligent gas station in the set monitoring period.
The oil body state analysis module is used for analyzing the oil body state corresponding to each oil body type to obtain an oil body state evaluation index corresponding to each oil body typeI represents an oil body type number,/>。
The oil outlet state analysis module is used for analyzing the oil outlet state of each oil body type to obtain an oil outlet state evaluation index corresponding to each oil body type。
And the vehicle refueling type confirmation module is used for collecting images of the current vehicle to be refueled, so as to confirm the corresponding refueling type of the current vehicle to be refueled.
And the vehicle refueling speed analysis terminal is used for confirming the adaptive refueling speed corresponding to the current vehicle to be refueled according to the corresponding refueling type of the current vehicle to be refueled.
And the vehicle refueling speed feedback terminal is used for feeding back the adaptive refueling speed corresponding to the current vehicle to be refueled to the refueling control terminal of the corresponding refueling type of the current vehicle to be refueled, and controlling the refueling speed.
Further, the historical fueling data includes license plate numbers of the respective historical fueling vehicles, accumulated travel mileage at each fueling, starting oil amount, fueling duration, fueling loss amount.
The external environment information includes a maximum temperature, a minimum temperature, a maximum humidity, and a minimum humidity.
The current environmental information comprises the volume of the adhesion object, the adhesion area occupation ratio of the adhesion object and the corresponding refueling pressure of the corresponding oil gun port of each oil body type during each refueling.
Further, the analyzing the oil state corresponding to each oil body type in the target intelligent gas station includes: the accumulated storage time of each oil body type is recorded asSetting storage layer interference factors/>, corresponding to various oil types。
Counting the temperature coincidence degree of each oil body typeAnd humidity compliance/>Setting oil interference factors/>, corresponding to environment layers, of various oil types，/>。
Wherein,、/>The temperature compliance and the humidity compliance of the corresponding references of the set ith oil product type are respectively shown as e, wherein e represents a natural constant,/>And respectively evaluating the duty ratio weight for the interference of the set temperature and humidity corresponding to the environment layer.
Statistics of the fueling oil consumption coincidence degree of each oil body typeAnd the oil flow rate accords with the degree/>Calculating the oil state evaluation index/>, of each oil body type，/>Wherein/>Evaluating correction factors for set oil body states,/>And respectively evaluating the duty ratio weight factors for the set oil consumption and the oil body state corresponding to the flow rate.
Further, the statistics of the fueling oil consumption compliance of each oil body type includes: and extracting the accumulated running mileage, the initial oil quantity and the refueling oil quantity of each historical refueling vehicle during each refueling from the historical refueling data of each oil body type in the set monitoring period.
Counting the average unit kilometer oil consumption rate of each oil body type corresponding to each history refueling vehicle, and recording asJ represents the historical fueling vehicle number,/>。
Taking the fueling sequence as an abscissa and the fuel consumption rate as an ordinate, constructing a fuel consumption rate change curve of each history fueling vehicle corresponding to each oil type, and positioning a slope value from the curve to serve as a fuel consumption increasing rate of each history fueling vehicle corresponding to each oil type。
Calculating the corresponding fueling oil consumption coincidence degree of each oil body type in the set monitoring period，。
Wherein,The oil consumption corresponding to the set oil consumption rate and the oil consumption increase rate accords with the estimated duty ratio weight, and m is the number of historical refueling vehicles,/>Oil consumption rate and oil consumption increase rate which are respectively corresponding to and referenced by the set ith oil body type,/>And the set oil consumption accords with the estimated correction factor.
Further, the statistics of the oil flow rate coincidence degree of each oil body type includes: and extracting the refueling oil quantity and the refueling duration of each historical refueling vehicle in each refueling from the historical refueling data of each oil body type in the set monitoring period, and taking the ratio of the refueling oil quantity to the refueling duration as the oil outlet flow rate.
Average oil outlet flow velocity of each oil body type corresponding to each history refueling vehicle is obtained through average calculationFurther confirm the lowest oil flow rate/>, corresponding to each oil body type。
Calculating the oil outlet flow velocity coincidence degree of each oil body type，；
Wherein,、/>、/>The proper oil outlet flow rate, the oil outlet flow rate difference and the trend of the lowest oil outlet flow rate difference which are respectively corresponding to the set ith oil body type are referred to, and the oil outlet flow rate is/For the set oil outlet flow rate to meet the estimated correction factor,/>The set minimum oil outlet flow rate and the set minimum trend oil outlet flow rate difference correspond to the estimated duty ratio weight.
Further, the statistics of the temperature compliance and the humidity compliance of each oil body type includes: extracting the highest temperature and the lowest temperature from the external environment information corresponding to each monitoring day, constructing a temperature interval corresponding to each monitoring day, performing superposition comparison with a proper arrangement temperature interval corresponding to each oil body type, and confirming the number of normal monitoring days corresponding to each oil body typeHigh interval temperature deviation/>Low zone temperature deviation/>。
Calculating the temperature coincidence degree of each oil body type，。
Wherein,The set normal monitoring day number, the high-interval temperature deviation and the low-interval temperature deviation correspond to the estimated duty ratio weight,/>, respectively、/>、/>The number of normal monitoring days, the high-range temperature deviation and the low-range temperature deviation which are respectively corresponding to the set ith oil body type and are referred to are respectively,/>The correction factor is evaluated for the set temperature.
The humidity coincidence degree of each oil body type is obtained by the same analysis according to the analysis mode of the temperature coincidence degree of each oil body type。
Further, the specific setting process of the temperature coincidence assessment correction factor is as follows: making a difference between the highest temperature and the lowest temperature corresponding to each monitoring day, and recording the difference asT represents the monitoring day number,/>。
The set temperature accords with the evaluation correction factor，/>。
Wherein,For the temperature difference corresponding to the t+1st monitoring day,/>To set the fluctuation temperature difference deviation,/>To monitor the number of days.
Further, the analyzing the oil output status of each oil body type includes: the oil filling loss of each historical oil filling vehicle in each oil filling is extracted from the historical oil filling data of each oil body type in a set monitoring period, and is differed from the set allowable oil filling loss of each oil body type, and the difference is recorded as oil filling loss difference.
If the corresponding fueling loss difference of a certain type of oil corresponding to a certain historical fueling vehicle is larger than 0 during a certain fueling, the fueling is marked as abnormal-loss fueling.
Counting the abnormal loss refueling times of each oil body type corresponding to each history refueling vehicle, and obtaining the average abnormal loss refueling times of each oil body type corresponding to each history refueling vehicle through average calculation。
Average calculation is carried out on the fueling loss difference of each history fueling vehicle corresponding to each oil type when each abnormal loss fueling is carried out to obtain average abnormal loss fueling difference of each history fueling vehicle corresponding to each oil type, and the maximum abnormal loss fueling difference is selected from the average abnormal loss fueling difference as the fueling loss difference corresponding to each oil type and recorded as。
Calculating oil output state evaluation indexes corresponding to various oil types，。
Wherein,The oil filling times of the set abnormal loss and the oil filling loss difference correspond to the oil filling loss to accord with the estimated duty ratio weight,/>Abnormal loss oil adding times and oil adding loss difference corresponding to the set ith oil body type respectively,/>And evaluating the correction factor for the set oil outlet state.
Further, the confirming the adaptive fueling speed corresponding to the current vehicle to be fueling comprises: respectively positioning the oil state evaluation index of the corresponding fueling type of the current vehicle to be fueling from the oil state evaluation index and the oil output state evaluation index of the corresponding fueling type of each oil typeAnd oil production State evaluation index/>。
According to the current environmental information of the corresponding oil gun mouth of each oil body type, calculating the oil filling speed interference trend index。
Calculating the adaptive refueling speed corresponding to the current vehicle to be refueled，/>。
Wherein,Indicating the simultaneous presence/>、/>And/>，/>The oil state evaluation index, the oil outlet state evaluation index and the oil filling speed disturbance trend index are respectively set as reference.
Representing arbitrary existence/>And/>Or/>And/>。
Representing arbitrary existence/>And/>Or/>And/>。
Wherein,For the set reference fueling speed corresponding to the current to-be-fueling vehicle for confirming the fueling type,/>To change the oiling speed,/>，/>In order to change the condition factor for the speed,。
For a set allowable maximum fueling float speed,/>And respectively evaluating the duty ratio weight for the set oil state, oil outlet state and speed interference trend corresponding to the speed change.
Further, the statistical fueling speed disturbance trend index comprises: extracting current environmental information of the corresponding fueling type of the current vehicle to be fueling from the current environmental information of the corresponding fueling gun mouth of each oil body type, thereby extracting the volume of the adhesion objectAdhesive attachment area ratio/>And the corresponding fueling pressure/>, at each fuelingG represents the fueling sequence number of the current vehicle to be fueling corresponding to the type of fueling confirmed,/>。
Calculating a fueling rate disturbance trend index，。
Wherein,Indicating fueling rate disturbance trend evaluation correction factor,/>The volume of the adhesion, the area of the adhesion, the refueling pressure and the deviation of the refueling pressure are respectively set as referencesThe duty cycle weights are estimated for the set stick volume, the sticking area duty cycle, and the fueling pressure deviation corresponding to the fueling speed disturbance trend, respectively.
Compared with the prior art, the invention has the following beneficial effects: (1) According to the invention, the adaptive oiling speed corresponding to the current vehicle to be oiled is confirmed according to the oil state and the oil outlet state corresponding to each oil type, so that the problem that the specific oiling process of the oil station is not managed currently is effectively solved, the limitation of the current fixed oiling speed is avoided, the pertinence and the flexible oiling of the oiling vehicles with different oil types are realized, the oiling efficiency of the different oil types is ensured, the oiling experience sense of a user is improved, the oiling safety of the vehicle is ensured, the fire-fighting potential safety hazard in the oiling process of the automobile is effectively reduced, the defect in the operation management process of the intelligent oil station is made up, the oiling loss control effect of the target intelligent oil station is also improved at the other level, the loss degree of an oiling pump and an oiling gun is remarkably reduced, and the service lives of the oil pump and the oiling gun are effectively prolonged.
(2) According to the method, temperature and humidity coincidence conditions, storage time length and oil filling oil consumption and oil outlet flow rate analysis are carried out according to historical oil filling data and storage time length of each oil body type and external environment information of a target intelligent gas station, so that oil state evaluation of each oil body type is carried out, multidimensional analysis of oil state corresponding to each oil body type is realized, evaluation depth and evaluation strength of oil state corresponding to each oil body type are ensured, and reliability and rationality of oil state evaluation corresponding to each oil body type are ensured.
(3) The invention confirms the number of normal monitoring days, the high-range temperature deviation and the low-range temperature deviation corresponding to each oil body type by means of temperature interval comparison, further analyzes the temperature coincidence condition of each oil body type, intuitively displays the temperature coincidence condition corresponding to each oil body type, further ensures the referential and persuasion of the setting of the environmental-level interference factors, and also expands the reference basis of the oil state analysis.
(4) When the adaptive fueling speed corresponding to the current vehicle to be fueling is confirmed, the persuasion and the usability of the adaptive fueling speed confirmation result are improved by counting the fueling speed interference trend index and setting the fueling speed condition, and the shortages of too high or too low fueling speed are prevented, so that the fueling satisfaction of a user is improved, and the viscosity between the user and a target intelligent fueling station is maintained.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed for the description of the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic diagram of the connection of the modules of the system of the present invention.
FIG. 2 is a schematic diagram of a vehicle fueling rate analysis flow chart according to the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1 to 2, the invention provides an intelligent fueling statistics data analysis management cloud platform, which comprises a historical fueling data extraction module, a fueling station environment information acquisition module, an oil body state analysis module, an oil outlet state analysis module, a vehicle fueling type confirmation module, a vehicle fueling speed analysis terminal and a vehicle fueling speed feedback terminal.
The vehicle refueling speed analysis terminal is respectively connected with the gas station environment information acquisition module, the oil body state analysis module, the oil outlet state analysis module and the vehicle refueling speed feedback terminal, the historical refueling data extraction module is respectively connected with the oil body state analysis module, the oil outlet state analysis module and the vehicle refueling type confirmation module, and the gas station environment information acquisition module is connected with the oil body state analysis module.
The historical refueling data extraction module is used for extracting the accumulated storage duration of each oil body type in the target intelligent gas station and the historical refueling data in a set monitoring period, wherein the historical refueling data comprises license plate numbers of all historical refueling vehicles, accumulated driving mileage, initial oil quantity, refueling duration and refueling loss during each refueling.
It is added that the historical fueling data is extracted from the target intelligent fueling station management platform.
The gas station environment information acquisition module is used for acquiring external environment information corresponding to each monitoring day and current environment information corresponding to each oil body type of the oil gun port of the target intelligent gas station in a set monitoring period.
Specifically, the external environment information comprises a highest temperature, a lowest temperature, a highest humidity and a lowest humidity, wherein the temperature is acquired through a temperature sensor arranged in the target intelligent gas station, and the humidity is acquired through a humidity sensor arranged in the target intelligent gas station.
The current environmental information comprises the volume of the adhesion object, the adhesion area occupation ratio of the adhesion object and the corresponding refueling pressure of the corresponding oil gun port of each oil body type during each refueling.
The volume of the adhesion object and the adhesion area ratio are obtained through monitoring by a rotatable camera arranged in the target intelligent gas station, and the refueling pressure is obtained through monitoring by a pressure sensor arranged in a gun port.
The oil body state analysis module is used for analyzing the oil body state corresponding to each oil body type to obtain an oil body state evaluation index corresponding to each oil body typeI represents an oil body type number,/>。
Illustratively, analyzing the oil state corresponding to each oil body type in the target intelligent gas station includes: a1, recording the accumulated storage time of each oil body type asSetting oil interference factors/>, corresponding to storage layers, of various oil types，，/>And (5) representing the stable storage time length corresponding to the ith oil body type, wherein e is a natural constant.
A2, counting the temperature coincidence degree of each oil body typeAnd humidity compliance/>Setting environment-level interference factors/>, corresponding to the oil body types，/>。
Wherein,、/>Temperature compliance and humidity compliance of corresponding references of the set ith oil product category,/>, respectivelyAnd respectively evaluating the duty ratio weight for the interference of the set temperature and humidity corresponding to the environment layer.
Understandably, counting the temperature and humidity compliance of each oil body category includes: a2-1, extracting the highest temperature and the lowest temperature from the external environment information corresponding to each monitoring day, constructing a temperature interval corresponding to each monitoring day, overlapping and comparing the temperature interval with a proper arrangement temperature interval corresponding to each oil body type, and confirming the number of normal monitoring days corresponding to each oil body typeHigh interval temperature deviation/>Low zone temperature deviation/>。
The number of normal monitoring days corresponding to each oil type was confirmedThe specific confirmation process of the high-interval temperature deviation and the low-interval temperature deviation comprises the following steps: a2-1-1, extracting the superposition interval length of the temperature interval corresponding to each monitoring day and the temperature interval suitable for arrangement corresponding to each oil body type, and recording as/>Wherein t represents the monitoring day number,/>。
A2-1-2, the length of the temperature interval corresponding to each monitoring day is recorded asWill/>And/>And comparing to obtain the coincidence degree of the temperature interval corresponding to the proper arrangement temperature interval corresponding to each oil type and each monitoring day.
A2-1-3, comparing the coincidence degree of the temperature interval corresponding to the proper arrangement temperature interval corresponding to each oil body type and the coincidence degree of the temperature interval corresponding to each monitoring day with the coincidence degree of the reference interval corresponding to each oil body type, and counting the number of the normal monitoring days corresponding to each oil body type by taking each monitoring diary with the coincidence degree of the temperature interval being larger than the coincidence degree of the reference interval as each normal monitoring day.
A2-1-4, extracting the upper limit value of the temperature interval corresponding to each oil body type on each monitoring day, and making a difference with the upper limit value of the proper arrangement temperature interval corresponding to each oil body type to obtain the arrangement upper limit temperature difference corresponding to each oil body type on each normal monitoring day, and extracting the maximum arrangement upper limit temperature difference from the arrangement upper limit temperature difference to be used as the high interval temperature deviation corresponding to each oil body type.
A2-1-5, extracting the lower limit value of the temperature interval corresponding to each oil body type on each monitoring day, and making a difference with the lower limit value of the proper arrangement temperature interval corresponding to each oil body type to obtain the arrangement lower limit temperature difference corresponding to each oil body type on each normal monitoring day, and extracting the minimum arrangement lower limit temperature difference from the arrangement lower limit temperature difference to be used as the low interval temperature deviation corresponding to each oil body type.
A2-2, calculating the temperature coincidence degree of each oil body type，。
Wherein,The set normal monitoring day number, the high-interval temperature deviation and the low-interval temperature deviation correspond to the estimated duty ratio weight,/>, respectively、/>、/>The number of normal monitoring days, the high-range temperature deviation and the low-range temperature deviation which are respectively corresponding to the set ith oil body type and are referred to are respectively,/>The correction factor is evaluated for the set temperature.
According to the embodiment of the invention, the number of normal monitoring days, the high-range temperature deviation and the low-range temperature deviation corresponding to each oil body type are confirmed by means of temperature range comparison, so that the temperature coincidence condition analysis of each oil body type is further carried out, the temperature coincidence condition corresponding to each oil body type is intuitively displayed, the reference and persuasion of the setting of the environmental-level interference factor are further ensured, and the reference basis of the oil state analysis is also expanded.
Further, the specific setting process of the temperature coincidence assessment correction factor is as follows: making a difference between the highest temperature and the lowest temperature corresponding to each monitoring day, and recording the difference asThe set temperature accords with the evaluation correction factor/>，。
Wherein,For the temperature difference corresponding to the t+1st monitoring day,/>To set the fluctuation temperature difference deviation,/>To monitor the number of days.
It should be noted that the temperature and humidity affect the chemical and physical properties of the oil product, resulting in degradation of the quality of the oil product. For example, high temperature can cause thermal decomposition and oxidation of oil products, thereby lowering the octane number and antiknock performance of fuel, low temperature can cause viscosity increase of oil products, and serious chemical property and physical property change of some oil products can also be caused, combustion efficiency and horsepower performance of oil products are lowered, while high humidity can easily cause water deposition and rust of oil products, low humidity can accelerate oxidation reaction in oil products, and meanwhile, impurities and soluble substances in oil products can be caused to precipitate, and therefore, temperature and humidity need to be controlled within a range stably.
A2-3, obtaining the humidity coincidence degree of each oil body type by the same analysis according to the analysis mode of the temperature coincidence degree of each oil body type。
A3, counting the fueling oil consumption coincidence degree of each oil body typeAnd the oil flow rate accords with the degree/>Calculating the oil state evaluation index/>, of each oil body type，/>Wherein/>Evaluating correction factors for set oil body states,/>And respectively evaluating the duty ratio weight factors for the set oil consumption and the oil body state corresponding to the flow rate.
Understandably, the statistics of the fueling oil consumption coincidence degree of each oil body type includes: b1, extracting the accumulated running mileage, the initial oil quantity and the refueling oil quantity of each history refueling vehicle in each refueling from the history refueling data of each oil body type in a set monitoring period, counting the average unit kilometer fuel consumption rate of each history refueling vehicle corresponding to each oil body type, and recording asJ represents the historical fueling vehicle number,/>。
The specific statistical process of the average unit kilometer oil consumption rate of each history refueling vehicle corresponding to each oil body type is as follows: b1-1, respectively recording the accumulated travel mileage, the initial oil quantity and the refueling oil quantity of each history refueling vehicle corresponding to each oil type asAnd/>R represents a fueling sequence number,/>。
B1-2, calculating the average fuel consumption rate per kilometer of each history refueling vehicle corresponding to each oil body type，。
Wherein z represents the number of refuelling,Starting oil quantity and accumulated travel mileage number of the j-th historical refueling vehicle at the (r+1) -th refueling corresponding to the set (i) -th oil body type respectively,/>And evaluating the correction factor for the set fuel consumption rate.
B2, constructing a fuel consumption rate change curve of each history refueling vehicle corresponding to each fuel type by taking a refueling sequence as an abscissa and a fuel consumption rate as an ordinate, and positioning a slope value from the curve to serve as a fuel consumption increasing rate of each history refueling vehicle corresponding to each fuel type。
B3, calculating the corresponding fueling oil consumption coincidence degree of each oil body type in the set monitoring period，。
Wherein,The oil consumption corresponding to the set oil consumption rate and the oil consumption increase rate accords with the estimated duty ratio weight, and m is the number of historical refueling vehicles,/>Oil consumption rate and oil consumption increase rate which are respectively corresponding to and referenced by the set ith oil body type,/>And the set oil consumption accords with the estimated correction factor.
It can be further understood that the statistics of the oil outlet flow rate coincidence degree of each oil body type includes: and D1, extracting the refueling oil quantity and the refueling duration of each historical refueling vehicle in each refueling from the historical refueling data of each oil body type in the set monitoring period, and taking the ratio of the refueling oil quantity to the refueling duration as the oil outlet flow rate.
D2, obtaining the average oil outlet flow velocity of each oil body type corresponding to each history refueling vehicle through average calculationFurther confirm the lowest oil flow rate/>, corresponding to each oil body type，/>。
D3, calculating the oil outlet flow velocity coincidence degree of each oil body type，。
Wherein,、/>、/>The proper oil outlet flow rate, the oil outlet flow rate difference and the trend of the lowest oil outlet flow rate difference which are respectively corresponding to the set ith oil body type are referred to, and the oil outlet flow rate is/For the set oil outlet flow rate to meet the estimated correction factor,/>The set minimum oil outlet flow rate and the set minimum trend oil outlet flow rate difference correspond to the estimated duty ratio weight.
It should be noted that, when the oil quality changes, certain changes may occur in the oil loss and the oil flow rate, for example: when the oil quality becomes poor and abrasion particles increase, the oil hanging amount increases, abrasion of friction parts is accelerated, and the oil loss increases, and the following conditions are achieved: when the oil quality is poor, the viscosity of the oil is correspondingly changed, when the viscosity is increased, the flow rate of the oil outlet is reduced, so that the flow rate of the oil outlet is reduced, and when the viscosity is reduced, the flow rate of the oil outlet is increased, so that the flow rate of the oil outlet is increased.
According to the embodiment of the invention, the temperature and humidity accord condition, the storage time length, the refueling oil consumption and the oil outlet flow rate are analyzed according to the historical refueling data and the storage time length of each oil body type and the external environment information of the target intelligent gas station, so that the oil state of each oil body type is evaluated, the multidimensional analysis of the oil state corresponding to each oil body type is realized, the evaluation depth and the evaluation force of the oil state corresponding to each oil body type are ensured, and the reliability and the rationality of the oil state evaluation corresponding to each oil body type are ensured.
The oil outlet state analysis module is used for analyzing the oil outlet state of each oil body type to obtain an oil outlet state evaluation index corresponding to each oil body type。
Illustratively, analyzing the oil-out status of each oil body category includes: and H1, extracting the fueling loss of each historical fueling vehicle in each fueling from the historical fueling data of each oil body type in the set monitoring period, and making a difference between the historical fueling loss and the set allowable fueling loss of each oil body type, and marking the difference as fueling loss difference.
And H2, if the corresponding fueling loss difference of the vehicle corresponding to a certain type of oil body and a certain history fueling is larger than 0 during a certain fueling, marking the fueling as abnormal loss fueling.
H3, counting the abnormal loss refueling times of the history refueling vehicles corresponding to the oil body types, and obtaining the average abnormal loss refueling times of the history refueling vehicles corresponding to the oil body types through average calculation。
H4, extracting the oil loss difference of each history oil filling vehicle corresponding to each oil type when each abnormal loss oil filling is performed, obtaining the average abnormal loss oil filling difference of each history oil filling vehicle corresponding to each oil type through average value calculation, screening the maximum abnormal loss oil filling difference from the average abnormal loss oil filling difference to be used as the oil filling loss difference corresponding to each oil type, and marking as。
H5, calculating oil outlet state evaluation indexes corresponding to the oil body types，。
Wherein,The oil filling times of the set abnormal loss and the oil filling loss difference correspond to the oil filling loss to accord with the estimated duty ratio weight,/>Abnormal loss oil adding times and oil adding loss difference corresponding to the set ith oil body type respectively,/>And evaluating the correction factor for the set oil outlet state.
The vehicle refueling type confirmation module is used for collecting images of the current vehicle to be refueled, so that the corresponding refueling type of the current vehicle to be refueled is confirmed.
In a specific embodiment, the confirmation principle of the corresponding fueling type of the current fueling vehicle is a license plate number matching principle, namely, the license plate number corresponding to the current fueling vehicle is positioned from the acquired image corresponding to the current fueling vehicle, and is matched and compared with the license plate number of each historical fueling vehicle of each oil body type in a set monitoring period, so that the corresponding fueling type of the current fueling vehicle is obtained through matching.
The vehicle refueling speed analysis terminal is used for confirming the adaptive refueling speed corresponding to the current vehicle to be refueled according to the corresponding refueling type of the current vehicle to be refueled.
Specifically, confirming the adaptive fueling speed corresponding to the current vehicle to be fueling comprises: g1, respectively positioning the oil state evaluation index of the corresponding fueling type of the current vehicle to be fueling from the oil state evaluation index and the oil output state evaluation index of the corresponding fueling type of each oil typeAnd oil production State evaluation index/>。
G2, according to the current environmental information of the corresponding oil gun mouth of each oil body type, counting the oil filling speed interference trend index。
Understandably, the statistical fueling rate disturbance trend index comprises: g2-1, extracting current environmental information of the corresponding fueling type of the current vehicle to be fueling from the current environmental information of the port of the corresponding fueling gun of each oil body type, and further extracting the volume of the adhesion objectAdhesive attachment area ratio/>And the corresponding fueling pressure/>, at each fuelingG represents the fueling sequence number of the current vehicle to be fueling corresponding to the type of fueling confirmed,/>。
G2-2, calculating the fueling rate disturbance trend index，/>。
Wherein,Indicating fueling rate disturbance trend evaluation correction factor,/>The volume of the adhesion, the area of the adhesion, the refueling pressure and the deviation of the refueling pressure are respectively set as referencesThe duty cycle weights are estimated for the set stick volume, the sticking area duty cycle, and the fueling pressure deviation corresponding to the fueling speed disturbance trend, respectively.
G3, calculating the adaptive refueling speed corresponding to the current vehicle to be refueled，/>。
Wherein,Indicating the simultaneous presence/>、/>And/>，/>The oil state evaluation index, the oil outlet state evaluation index and the oil filling speed disturbance trend index are respectively set as reference.
Representing arbitrary existence/>And/>Or/>And/>。
Representing arbitrary existence/>And/>Or/>And/>。
Wherein,For the set reference fueling speed corresponding to the current to-be-fueling vehicle for confirming the fueling type,/>To change the oiling speed,/>，/>In order to change the condition factor for the speed,，/>Representing rounding down symbols.
For a set allowable maximum fueling float speed,/>And respectively evaluating the duty ratio weight for the set oil state, oil outlet state and speed interference trend corresponding to the speed change.
In one embodiment, whenWhen this is the case, it is indicated that the current adherence of the muzzle is normal, whereas the cleaning of the muzzle is generally a fixed periodic cleaning, i.e. when/>And/>Or when/>And/>When the viscosity of the oil is poor, the oil quality is deteriorated, the viscosity is reduced, the friction loss between metals caused by thinning of a lubricating film tends to be increased due to the increase of the loss, and when the viscosity of the oil is poor, the oil filling speed is required to be reduced properly during oil filling, so that the safety and smoothness of oil filling are ensured, and when/>When the current adhesion of the oil gun port is severe, then whenAnd/>Or/>And/>When the oil is present, it is said that the phenomenon of deterioration of the oil quality during the oil body cleaning period is that the viscosity is increased and the loss is increased, the oil tends to be hung up, and therefore the oil filling speed needs to be properly increased.
According to the embodiment of the invention, when the adaptive refueling speed corresponding to the current vehicle to be refueled is confirmed, the persuasion and the usability of the confirmation result of the adaptive refueling speed are improved by counting the refueling speed interference trend index and setting the refueling speed condition, and meanwhile, the shortages of too high or too low refueling speed are prevented, so that the customer refueling satisfaction is improved, and the viscosity between a customer and a target intelligent gas station is maintained.
The vehicle refueling speed feedback terminal is used for feeding back the adaptive refueling speed corresponding to the current vehicle to be refueled to the refueling control terminal corresponding to the refueling type of the current vehicle to be refueled, and controlling the refueling speed.
According to the embodiment of the invention, the adaptive oiling speed corresponding to the current vehicle to be oiled is confirmed according to the oil state and the oil outlet state corresponding to each oil type, so that the problem that the specific oiling process of the oil station is not managed currently is effectively solved, the limitation of the current fixed oiling speed is avoided, the pertinence and the flexible oiling of the oiling vehicles with different oil types are realized, the oiling efficiency of the different oil types is ensured, the oiling experience of a user is improved, the oiling safety of the vehicle is ensured, the fire-fighting potential safety hazard in the automobile oiling process is effectively reduced, the defect in the operation management process of the intelligent oil station is overcome, the oiling loss control effect of the target intelligent oil station is also improved at the other level, the loss degree of an oiling pump and an oiling gun is remarkably reduced, and the service lives of the oil pump and the oiling gun are effectively prolonged.
The foregoing is merely illustrative and explanatory of the principles of this invention, as various modifications and additions may be made to the specific embodiments described, or similar arrangements may be substituted by those skilled in the art, without departing from the principles of this invention or beyond the scope of this invention as defined in the claims.
Claims (6)
1. An wisdom refuels statistical data analysis management cloud platform, its characterized in that: comprising the following steps:
the system comprises a historical refueling data extraction module, a filling station environment information acquisition module, an oil body state analysis module, an oil outlet state analysis module, a vehicle refueling type confirmation module, a vehicle refueling speed analysis terminal and a vehicle refueling speed feedback terminal;
The vehicle refueling speed analysis terminal is respectively connected with the gas station environment information acquisition module, the oil body state analysis module, the oil outlet state analysis module and the vehicle refueling speed feedback terminal, the historical refueling data extraction module is respectively connected with the oil body state analysis module, the oil outlet state analysis module and the vehicle refueling type confirmation module, and the gas station environment information acquisition module is connected with the oil body state analysis module;
the historical refueling data extraction module is used for extracting accumulated storage duration of each oil body type in the target intelligent gas station and historical refueling data in a set monitoring period;
the gas station environment information acquisition module is used for acquiring external environment information corresponding to each monitoring day and current environment information corresponding to the oil gun port of each oil body type of the target intelligent gas station in a set monitoring period;
the oil body state analysis module is used for analyzing the oil body state corresponding to each oil body type to obtain an oil body state evaluation index corresponding to each oil body type I represents an oil body type number,/>；
The oil outlet state analysis module is used for analyzing the oil outlet state of each oil body type to obtain an oil outlet state evaluation index corresponding to each oil body type；
The vehicle refueling type confirmation module is used for collecting images of the current vehicle to be refueled, so as to confirm the corresponding refueling type of the current vehicle to be refueled;
The vehicle refueling speed analysis terminal is used for confirming the adaptive refueling speed corresponding to the current vehicle to be refueled according to the corresponding refueling type of the current vehicle to be refueled;
The vehicle refueling speed feedback terminal is used for feeding back the adaptive refueling speed corresponding to the current vehicle to be refueled to the refueling control terminal of the corresponding refueling type of the current vehicle to be refueled, and controlling the refueling speed;
The historical fueling data comprise license plate numbers of various historical fueling vehicles, accumulated driving mileage, initial oil quantity, fueling duration and fueling loss during various fueling;
The external environment information comprises a highest temperature, a lowest temperature, a highest humidity and a lowest humidity;
the current environmental information comprises the volume of the adhesion object, the area occupation ratio of the adhesion object and the corresponding refueling pressure of the corresponding oil gun port of each oil body type during each refueling;
The oil state that each oil body kind corresponds in the analysis target wisdom filling station includes:
The accumulated storage time of each oil body type is recorded as Setting storage layer interference factors/>, corresponding to various oil types；
Counting the temperature coincidence degree of each oil body typeAnd humidity compliance/>Setting oil interference factors/>, corresponding to environment layers, of various oil types，/>；
Wherein,、/>The temperature compliance and the humidity compliance of the corresponding references of the set ith oil product type are respectively shown as e, wherein e represents a natural constant,/>The duty ratio weight is evaluated for the interference of the set temperature and humidity corresponding to the environment layer;
Statistics of the fueling oil consumption coincidence degree of each oil body type And the oil flow rate accords with the degree/>Calculating the oil state evaluation index/>, of each oil body type，/>Wherein/>The correction factor is evaluated for the set oil body state,The duty ratio weight factors are evaluated for the oil consumption and the oil body state corresponding to the flow rate which are set respectively;
the analyzing the oil outlet state of each oil body type comprises the following steps:
Extracting the oil filling loss of each historical oil filling vehicle in each oil filling from the historical oil filling data of each oil body type in a set monitoring period, and making a difference between the oil filling loss and the set allowable oil filling loss of each oil body type, and marking the difference as oil filling loss difference;
if the corresponding fueling loss difference of a certain type of oil corresponding to a certain historical fueling vehicle is greater than 0 during a certain fueling, the fueling is marked as abnormal-loss fueling;
Counting the abnormal loss refueling times of each oil body type corresponding to each history refueling vehicle, and obtaining the average abnormal loss refueling times of each oil body type corresponding to each history refueling vehicle through average calculation ；
Average calculation is carried out on the fueling loss difference of each history fueling vehicle corresponding to each oil type when each abnormal loss fueling is carried out to obtain average abnormal loss fueling difference of each history fueling vehicle corresponding to each oil type, and the maximum abnormal loss fueling difference is selected from the average abnormal loss fueling difference as the fueling loss difference corresponding to each oil type and recorded as；
Calculating oil output state evaluation indexes corresponding to various oil types，；
Wherein,The oil filling times of the set abnormal loss and the oil filling loss difference correspond to the oil filling loss to accord with the estimated duty ratio weight,/>Abnormal loss oil adding times and oil adding loss difference corresponding to the set ith oil body type respectively,/>Evaluating a correction factor for the set oil outlet state;
the confirming the adaptive refueling speed corresponding to the current vehicle to be refueled comprises the following steps:
Respectively positioning the oil state evaluation index of the corresponding fueling type of the current vehicle to be fueling from the oil state evaluation index and the oil output state evaluation index of the corresponding fueling type of each oil type And oil production State evaluation index/>；
According to the current environmental information of the corresponding oil gun mouth of each oil body type, calculating the oil filling speed interference trend index；
Calculating the adaptive refueling speed corresponding to the current vehicle to be refueled，/>；
Wherein,Indicating the simultaneous presence/>、/>And/>，/>Setting a reference oil state evaluation index, an oil outlet state evaluation index and a fueling speed interference trend index respectively;
Representing arbitrary existence/> And/>Or/>And/>；
Representing arbitrary existence/>And/>Or/>And/>；
Wherein,For the set reference fueling speed corresponding to the current to-be-fueling vehicle for confirming the fueling type,/>To change the oiling speed,/>，/>In order to change the condition factor for the speed,；
For a set allowable maximum fueling float speed,/>And respectively evaluating the duty ratio weight for the set oil state, oil outlet state and speed interference trend corresponding to the speed change.
2. The intelligent fueling statistics analysis management cloud platform of claim 1, wherein: the statistics of the oil consumption coincidence degree of each oil body type comprises the following steps:
Extracting accumulated running mileage, initial oil quantity and refueling oil quantity of each history refueling vehicle in each refueling from the history refueling data of each oil body type in a set monitoring period;
counting the average unit kilometer oil consumption rate of each oil body type corresponding to each history refueling vehicle, and recording as J represents the historical fueling vehicle number,/>；
Taking the fueling sequence as an abscissa and the fuel consumption rate as an ordinate, constructing a fuel consumption rate change curve of each history fueling vehicle corresponding to each oil type, and positioning a slope value from the curve to serve as a fuel consumption increasing rate of each history fueling vehicle corresponding to each oil type；
Calculating the corresponding fueling oil consumption coincidence degree of each oil body type in the set monitoring period，；
Wherein,The oil consumption corresponding to the set oil consumption rate and the oil consumption increase rate accords with the estimated duty ratio weight, and m is the number of historical refueling vehicles,/>The fuel consumption rate and the fuel consumption increase rate which are respectively corresponding to the set ith oil body type and are referred to,And the set oil consumption accords with the estimated correction factor.
3. The intelligent fueling statistics analysis management cloud platform of claim 2, wherein: the statistics of the oil outlet flow rate coincidence degree of each oil body type comprises the following steps:
extracting the refueling oil quantity and the refueling duration of each historical refueling vehicle in each refueling from the historical refueling data of each oil body type in a set monitoring period, and taking the ratio of the refueling oil quantity to the refueling duration as an oil outlet flow rate;
average oil outlet flow velocity of each oil body type corresponding to each history refueling vehicle is obtained through average calculation Further confirm the lowest oil flow rate/>, corresponding to each oil body type；
Calculating the oil outlet flow velocity coincidence degree of each oil body type，；
Wherein,、/>、/>The proper oil outlet flow rate, the oil outlet flow rate difference and the trend of the lowest oil outlet flow rate difference which are respectively corresponding to the set ith oil body type are referred to, and the oil outlet flow rate is/For the set oil outlet flow rate to meet the estimated correction factor,/>The set minimum oil outlet flow rate and the set minimum trend oil outlet flow rate difference correspond to the estimated duty ratio weight.
4. The intelligent fueling statistics analysis management cloud platform of claim 1, wherein: the statistics of the temperature coincidence degree and the humidity coincidence degree of each oil body type comprises the following steps:
Extracting the highest temperature and the lowest temperature from the external environment information corresponding to each monitoring day, constructing a temperature interval corresponding to each monitoring day, performing superposition comparison with a proper arrangement temperature interval corresponding to each oil body type, and confirming the number of normal monitoring days corresponding to each oil body type High interval temperature deviation/>Low zone temperature deviation/>；
Calculating the temperature coincidence degree of each oil body type，；
Wherein,The set normal monitoring day number, the high-interval temperature deviation and the low-interval temperature deviation correspond to the estimated duty ratio weight,/>, respectively、/>、/>The number of normal monitoring days, the high-range temperature deviation and the low-range temperature deviation which are respectively corresponding to the set ith oil body type and are referred to are respectively,/>The set temperature accords with the evaluation correction factor;
the humidity coincidence degree of each oil body type is obtained by the same analysis according to the analysis mode of the temperature coincidence degree of each oil body type 。
5. The intelligent fueling statistics analysis management cloud platform as recited in claim 4, wherein: the specific setting process of the temperature coincidence assessment correction factor comprises the following steps:
making a difference between the highest temperature and the lowest temperature corresponding to each monitoring day, and recording the difference as T represents the monitoring day number,/>；
The set temperature accords with the evaluation correction factor，/>；
Wherein,For the temperature difference corresponding to the t+1st monitoring day,/>To set the fluctuation temperature difference deviation,/>To monitor the number of days.
6. The intelligent fueling statistics analysis management cloud platform of claim 1, wherein: the statistical fueling rate disturbance trend index comprises:
extracting current environmental information of the corresponding fueling type of the current vehicle to be fueling from the current environmental information of the corresponding fueling gun mouth of each oil body type, thereby extracting the volume of the adhesion object Adhesive attachment area ratio/>And the corresponding fueling pressure/>, at each fuelingG represents the fueling sequence number of the current vehicle to be fueling corresponding to the type of fueling confirmed,/>；
Calculating a fueling rate disturbance trend index，；
Wherein,Indicating fueling rate disturbance trend evaluation correction factor,/>The volume of the adhesion, the area of the adhesion, the refueling pressure and the deviation of the refueling pressure are respectively set as referencesThe duty cycle weights are estimated for the set stick volume, the sticking area duty cycle, and the fueling pressure deviation corresponding to the fueling speed disturbance trend, respectively.
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