CN112945309A - Big data drive-based fuel filling quality monitoring device and method - Google Patents
Big data drive-based fuel filling quality monitoring device and method Download PDFInfo
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Abstract
The invention provides a device and a method for monitoring fuel filling quality based on big data drive, which comprises a fuel liquid level sensor, a differential pressure sensor, an Electronic Control Unit (ECU), a vehicle-mounted networking terminal T-BOX, a server and a monitoring platform, wherein the fuel liquid level sensor and the differential pressure sensor are respectively connected with the ECU, the ECU is connected with the T-BOX through a CAN line, a T-BOX wireless communication module is connected with the server through wireless communication equipment, the server is connected with the monitoring platform, vehicle information such as the driving mileage, the oil consumption, the differential pressure change of a tail gas post-processing device, the regeneration frequency and the like of an automobile is acquired in real time based on a CAN bus and monitored, whether the automobile is poor fuel or not is judged, relevant information is recorded and fed back to the monitoring platform. The invention utilizes the vehicle as the basis for the government to supervise the motor vehicle to illegally fill the inferior fuel, and through the invention, the driver is supervised to use the fuel of a normal gas station according to the standard and hit the inferior fuel filling point, thereby reducing the emission of pollutants.
Description
Technical Field
The invention belongs to the technical field of automobile emission control, and particularly relates to a fuel filling quality monitoring device and method based on big data driving.
Background
The engine is one of high-efficiency power sources, and is widely applied to the fields of transportation, engineering machinery, agricultural machinery, ships and the like. With the high-speed increase of the engine holding capacity, the problem of engine emission pollution is increasingly serious, becomes a main contributor of air pollution emission, becomes one of main factors restricting the development of the engine, and needs to be solved urgently. In the related research on the cause of emission pollutants, the quality of fuel greatly affects the performance and emission of engines. In the actual use process, if the vehicles use poor fuel illegally, the performance of the engine is reduced, parts are seriously damaged, and the emission is seriously overproof. Therefore, it is necessary to monitor and manage the fuel quality of vehicle refueling in real time and correspondingly strike and remedy poor fuel refueling sites. However, due to the lack of effective supervision means and measures, the current supervision and control of fuel quality and poor fuel filling is not effectively improved.
With the rapid development of technologies such as 5G communication, vehicle networking and big data, the automobile intelligent networking technology is widely applied, can conveniently collect relevant information of various parts in the automobile running process, and transmits and gathers the relevant information to a corresponding monitoring platform through a wireless communication module so as to monitor and manage the automobile state in real time. All vehicle information is gathered to relevant servers through intelligent network connection, statistics and processing are carried out through a big data technology to obtain corresponding vehicle real-time information, and the future development trend is formed. How to combine the intelligent networking technology and the big data technology for monitoring the fuel filling quality becomes the key point of the invention.
Disclosure of Invention
The invention aims to solve the technical problems and provides a fuel filling quality monitoring device and method based on big data driving, which can monitor the fuel filling quality of a vehicle in real time, urge a driver to use the fuel of a normal gas station according to the standard, strike illegal fuel filling points and reduce the emission of pollutants.
The technical scheme adopted by the invention for solving the technical problems is as follows: the device for monitoring the fuel filling quality based on big data driving is characterized by comprising a fuel liquid level sensor, a differential pressure sensor, an electronic control unit ECU, a vehicle-mounted networking terminal T-BOX, a server and a monitoring platform, wherein the fuel liquid level sensor and the differential pressure sensor are respectively connected with the electronic control unit ECU, the electronic control unit ECU is connected with the vehicle-mounted networking terminal T-BOX through a CAN (controller area network) line, the vehicle-mounted networking terminal T-BOX comprises a power module, a data processing and storing module, a GPS (global positioning system) module, a control module and a wireless communication module, the wireless communication module is connected with the server through wireless communication equipment, and the server is connected with the monitoring platform.
According to the scheme, the fuel level sensor is positioned in the automobile fuel tank and used for recording the weight of fuel filled each time and the fuel filling place, and the differential pressure sensor is positioned at the automobile exhaust aftertreatment device and used for recording the pressure difference value between the inlet and the outlet of the exhaust aftertreatment device.
The fuel filling quality monitoring method based on big data driving is characterized by comprising the following steps of:
s1) determining suspected poor fuel: when a vehicle owner opens a fuel tank cover, the vehicle reads the weight and the filling place of the fuel filled by the vehicle through a fuel level sensor and a GPS module in a vehicle-mounted networking terminal T-BOX, the position information of all normal gas stations is stored in the vehicle-mounted networking terminal T-BOX by comparison, when the vehicle is in a filling state, a control module identifies and judges a GPS signal, and when the GPS positioning position belongs to the position range of all normal gas stations, namely the vehicle is identified to fill the fuel at the normal fuel filling point, the system judges that the fuel filled at this time is normal fuel; when the GPS positioning position does not belong to the position range of all the regular gas stations, namely the vehicle is identified not to be filled with fuel at the regular fuel filling point, the system determines that the filled fuel is suspected to be poor fuel;
s2) determining true poor fuel: when the system identifies that the fuel oil filled at this time is suspected to be poor fuel oil, the vehicle-mounted networking terminal T-BOX acquires and monitors the driving mileage, the fuel consumption, the pressure difference change of the post-processing device and the regeneration frequency information of the automobile during the fuel oil using period in real time through the CAN bus, and judges whether the suspected poor fuel oil is the real poor fuel oil or not through the fuel consumption, the pressure drop change of the tail gas post-processing device and the regeneration frequency;
s3) handling the offending refueled vehicle: when the system judges that the automobile is filled with real inferior fuel, a control module of the vehicle-mounted networking terminal T-BOX records the weight of the fuel filled during the refueling period and stores the refueling position, the illegal refueling frequency and the refueling amount in a data storage module, and when the weight and the frequency of the inferior fuel filled are accumulated to a certain limit value, the vehicle-mounted networking terminal T-BOX sends alarm information to a server to warn the vehicle that the inferior fuel is filled for a long time; meanwhile, the vehicle-mounted networking terminal T-BOX uploads the relevant information of all the illegal refueling times, refueling amount data and vehicle parameters of the vehicle stored in the data storage module to a server through wireless communication equipment, the server transmits the relevant information to a corresponding government supervision platform, and the government processes the illegal refueling vehicle through a corresponding supervision means;
s4) determining a poor fuel filling point: the monitoring platform records, modifies and increases the information of all vehicles in use and the positioning information of the regular gasoline stations through the information storage and management module; the number of times of filling the inferior diesel oil by a certain vehicle, the sum of the weight of the filled inferior fuel oil and the number of times of filling the inferior fuel oil by all vehicles and the number of times of occurrence of each place are counted by an information processing and counting module by utilizing the big data of all vehicles which illegally fill the inferior diesel oil stored in the server; and the site of the designated vehicle for filling the inferior fuel in a designated time, the filling weight and the site with the largest occurrence frequency of the inferior fuel filling in all vehicles are monitored and displayed, and when the occurrence frequency sum of the inferior fuel filling sites exceeds the limit, the site is determined to have the inferior fuel filling point. .
According to the scheme, the step of judging whether the suspected poor fuel is the real poor fuel through the fuel consumption in the step S2) comprises the following steps: using suspected poor fuel oilDuring the driving period of the vehicle, the fuel consumption amount of the regular fuel oil used during the driving period is m if the regular fuel oil is used during the driving period is obtained by integrating the fuel consumption MAP obtained by using the regular fuel oil stored in the vehicle-mounted networking terminal T-BOX1And the ECU is utilized to obtain the real oil consumption m through a fuel oil level sensor2If m is2-m1If the fuel oil is larger than the threshold value, the suspected poor fuel oil is judged to be the real poor fuel oil.
According to the scheme, the step of judging whether the suspected poor fuel is the real poor fuel through the pressure drop change of the tail gas post-processing device in the step S2) comprises the following steps: during the driving period of the automobile using the fuel oil for filling, the carbon loading capacity change of the tail gas post-processing device during the driving period is obtained by using original machine emission MAP which is stored in a vehicle-mounted networking terminal T-BOX and obtained when normal fuel oil is used, the pressure drop change of the tail gas post-processing device corresponding to the normal fuel oil is obtained by using the carbon loading capacity change, then the real-time pressure drop change is obtained by using a pressure difference sensor of the tail gas post-processing device, and if the pressure drop increase rate delta p corresponding to the fuel oil for filling is used, the real-time pressure drop change is obtained2Greater than the rate of increase in pressure drop Δ p corresponding to the use of regular fuel1I.e. Δ p2-Δp1If the fuel is larger than the threshold value, the fuel is judged to be filled with poor fuel.
According to the scheme, the step of judging whether the suspected poor fuel is the real poor fuel through the regeneration frequency of the tail gas aftertreatment device in the step S2) comprises the following steps: during driving with this fueling, it was calculated that the regeneration frequency of the exhaust gas after-treatment device when regular fuel was used should be n1Acquiring the regeneration frequency n of the automobile exhaust after-treatment device through the ECU2If n is2-n1If the fuel oil is larger than the threshold value, the suspected poor fuel oil is judged to be the real poor fuel oil.
The invention has the beneficial effects that: the device and the method for monitoring the fuel filling quality based on big data driving are provided, the weight of the vehicle filled with the inferior fuel, the longitude and latitude information of a filling point and the state information of the vehicle are monitored and stored in real time, the quality of the filled fuel is directly judged based on the GPS position of the filled fuel, and the quality of the filled fuel is indirectly judged based on the real-time information in the driving process of the vehicle, so that the judgment of the quality of the filled fuel is more accurate; the invention can be used as the basis for the government to supervise the motor vehicle to illegally fill the inferior fuel, and through the invention, the driver is supervised to use the fuel of a normal gas station according to the standard and hit the inferior fuel filling point, thereby reducing the emission of pollutants; after the relevant information of the vehicles is collected to the server, the server can generate a large amount of relevant data of all vehicles filled with inferior fuel oil, the vehicles filled with the inferior fuel oil for a long time and the places where the inferior fuel oil is filled can be obtained by analyzing the large data, and early warning and reminding are carried out on the vehicles filled with the inferior fuel oil and the places where the inferior fuel oil is filled through relevant monitoring; the off-line upgrading of the control unit is realized through the wireless communication module, and the newly added regular refueling place and the version of the control unit are convenient to update.
Drawings
FIG. 1 is a schematic view of an installation profile of one embodiment of the present invention.
FIG. 2 is a flow chart of one embodiment of the present invention.
Fig. 3 is a schematic block diagram of the T-BOX according to an embodiment of the present invention.
Detailed Description
For a better understanding of the present invention, reference is made to the following description taken in conjunction with the accompanying drawings and examples.
As shown in figures 1-3, the monitoring device for fuel filling quality based on big data driving comprises a fuel liquid level sensor, a differential pressure sensor, an electronic control unit ECU, a vehicle-mounted networking terminal T-BOX, a server and a monitoring platform, wherein the fuel liquid level sensor and the differential pressure sensor are respectively connected with the electronic control unit ECU, the electronic control unit ECU is connected with the vehicle-mounted networking terminal T-BOX through a CAN (controller area network) line, the vehicle-mounted networking terminal T-BOX comprises a power module, a data processing and storage module, a GPS (global positioning system) module, a control module and a wireless communication module, the wireless communication module is connected with the server through wireless communication equipment, and the server is connected with the monitoring platform. The fuel level sensor is positioned in an automobile fuel tank and used for recording the weight of fuel filled each time and the filling place, and the differential pressure sensor is positioned at the automobile tail gas post-processing device and used for recording the pressure difference value between an inlet and an outlet of the tail gas post-processing device.
The monitoring method principle of the vehicle fuel filling quality based on big data driving comprises the following specific steps:
step one, when a vehicle owner opens a fuel tank cover, the vehicle reads the weight and the filling place of fuel filled in the vehicle through a fuel level sensor and a GPS module in a T-BOX;
step two, position information of all normal gas stations is stored in the T-BOX, when the automobile is in a refueling state, the control module identifies and judges the GPS signal, and when the automobile does not refuel at a normal fuel refueling point, the GPS positioning position belongs to the position range of all normal gas stations, namely when the automobile is identified to refuel at the normal fuel refueling point, the system judges that the refuel which is refueled at the normal fuel refueling point is normal fuel; when the GPS positioning position does not belong to the position range of all the regular gas stations, namely the vehicle is identified not to be filled with fuel at the regular fuel filling point, the system determines that the filled fuel is suspected to be poor fuel;
step three: when the system identifies that the fuel oil filled at this time is suspected to be poor fuel oil, the T-BOX acquires and monitors information such as driving mileage, oil consumption, pressure difference change of an after-treatment device, regeneration frequency and the like of the automobile during the fuel oil using period in real time through the CAN bus; during the running of the automobile using the suspected poor fuel, the fuel consumption of the regular fuel during the running period is m if the regular fuel is used during the running period which is obtained by integrating the fuel consumption MAP obtained when the regular fuel is used and stored in the T-BOX1And the ECU is utilized to obtain the real oil consumption m through a fuel oil level sensor2If m is2-m1If the fuel oil is greater than the threshold value, the suspected inferior fuel oil is judged to be the true inferior fuel oil;
step four: during the driving period of the automobile using the fuel oil, the carbon load change of the exhaust gas after-treatment device during the driving period is obtained by using original machine emission MAP stored in the T-BOX and obtained when normal fuel oil is used, and the pressure drop change of the corresponding exhaust gas after-treatment device during the normal fuel oil is obtained by using the carbon load change. Then, a pressure difference sensor of the tail gas post-processing device is used for acquiring real-time pressure drop change, and if the pressure drop change delta corresponding to the fuel oil filling is used, the pressure drop change delta is acquiredp2Is far larger than the corresponding pressure drop change delta p when normal fuel is used1I.e. Δ p2-Δp1If the fuel oil is larger than the threshold value, the fuel oil is judged to be filled with poor fuel oil;
step five: during driving with this fueling, it was calculated that the regeneration frequency of the exhaust gas after-treatment device when regular fuel was used should be n1Acquiring the regeneration frequency n of the automobile exhaust after-treatment device through the ECU2If n is2-n1If the fuel oil is greater than the threshold value, the suspected inferior fuel oil is judged to be the true inferior fuel oil;
step six: if the three judgment conditions from the third step to the fifth step are not met, judging that the suspected poor fuel oil is normal fuel oil instead of real poor fuel oil;
step seven: when the system judges that the automobile is filled with poor-quality fuel, the T-BOX control module records the weight of the fuel filled during the refueling period and stores the refueling position, the number of times of illegal refueling and the refueling amount in the data storage module. The control module accumulates the times and the weight of the poor fuel oil filling quantity;
step eight: when the weight and the frequency of filling the inferior fuel oil are accumulated to a certain limit value, the T-BOX sends alarm information to a server to warn the vehicle that the inferior fuel oil is filled for a long time; meanwhile, the T-BOX uploads all related information such as the illegal refueling frequency, refueling volume data, vehicle parameters and the like stored in the data storage module of the vehicle to a server through a wireless communication module, the server transmits the related information to a corresponding government supervision platform, and the government processes the illegal refueling vehicle through a corresponding supervision means;
step nine: the monitoring platform records, modifies and increases the information of all vehicles in use and the positioning information of the regular gasoline stations through the information storage and management module;
the number of times of filling the inferior diesel oil by a certain vehicle and the sum of the weight of the filled inferior fuel oil are counted by an information processing and counting module by utilizing the big data of all vehicles which illegally fill the inferior diesel oil and are stored in the server, and the number of times of filling the inferior fuel oil by all vehicles and the number of times of occurrence of each place are counted;
and the monitoring display module displays the place of the appointed vehicle for filling the inferior fuel and the place of the filling weight and the place of the inferior fuel filling with the largest sum of the occurrence times of all vehicles in a certain appointed time.
And judging that when the sum of the times of occurrence of a certain poor-quality fuel filling place exceeds a certain limit, the place is considered to have a long-term poor-quality fuel filling point.
Example one
Take a diesel truck as an example.
The system comprises a liquid level sensor in a diesel vehicle oil tank, a Diesel Particulate Filter (DPF) differential pressure sensor, an Electronic Control Unit (ECU), a vehicle-mounted networking terminal T-BOX, a server and a monitoring module, wherein the fuel level sensor and the DPF differential pressure sensor are respectively connected with the ECU to record the fuel quantity of a diesel truck and the pressure difference value of an inlet and an outlet of the DPF, and the ECU is connected with the vehicle-mounted networking terminal T-BOX through a Controller Area Network (CAN) line. The T-BOX module comprises a power module, a data processing and storing module, a GPS module, a control module and a wireless communication module, wherein the wireless communication module is connected with a monitoring mechanism server through wireless communication equipment, and the server is connected with the monitoring platform.
The method comprises the steps that relevant position information of all normal gas stations is stored in a data processing and storage module in a T-BOX, when a driver opens a fuel tank cover to fill diesel oil, a GPS module in the T-BOX acquires the refueling position of a truck and analyzes and compares the position information with the position information of all normal gas stations stored in the T-BOX, and when the GPS positioning position belongs to the position range of all normal gas stations, namely when the vehicle is identified to fill diesel oil at a normal diesel oil filling point, the system judges that the diesel oil filled at this time is normal diesel oil; when the GPS positioning position does not belong to the position range of all normal gas stations, namely the vehicle is identified not to be filled with diesel oil at the normal diesel oil filling point, the system determines that the filled diesel oil is suspected to be poor-quality diesel oil.
Because the inferior diesel oil has characteristics such as combustion efficiency is low, and emission pollution is big, consequently the oil consumption of vehicle can rise under the same operating mode that traveles, and the emission particulate matter can increase, leads to DPF to block up more seriously for the pressure drop increase of DPF entry and exit, the pressure drop increase rate accelerates, and the regeneration frequency increases thereupon. Therefore, the change of oil consumption, pressure drop and automobile regeneration frequency under the same driving condition can be used for indirectly deducing whether the filled diesel oil is poor-quality diesel oil. Therefore, when the system identifies that the filled diesel is suspected to be poor diesel, the T-BOX acquires and monitors information such as the driving mileage, the oil consumption, the pressure difference change of the aftertreatment device, the regeneration frequency and the like of the automobile during the fuel using period in real time through the CAN bus.
During the running period using the diesel oil, the oil consumption of the regular diesel oil during the running period is m if the regular diesel oil is used1And the ECU is utilized to obtain the real oil consumption m through a diesel oil level sensor2If m is2-m1If the threshold value is larger than the preset threshold value, the suspected poor diesel oil is judged to be the real poor diesel oil.
During the running period using the diesel oil for filling, the carbon load change of the DPF during the running period is obtained by using original engine emission MAP obtained when normal diesel oil is used and stored in the T-BOX, and the pressure drop change of the DPF is deduced by using the carbon load change. Then, a DPF pressure difference sensor is used for acquiring real-time pressure drop change, and if the pressure drop increase rate delta p corresponding to the diesel oil filling is used, the diesel oil filling is carried out at the time2Is far greater than the corresponding pressure drop increase rate deltap when normal diesel is used1I.e. Δ p2-Δp1If the threshold value is larger than the preset threshold value, the filling of the diesel oil is judged to be poor diesel oil.
During the running using the diesel oil, the diesel oil regeneration frequency is calculated to be n when normal diesel oil is used1Obtaining the actual regeneration frequency n of the diesel engine through the ECU2If n is2-n1If the threshold value is larger than the preset threshold value, the suspected poor diesel oil is judged to be the real poor diesel oil.
When m is2-m1> threshold, Δ p2-Δp1> threshold and n2-n1If the three conditions are met, the suspected poor diesel oil is judged to be normal diesel oil instead of real poor diesel oil.
And when the system finally judges that the diesel oil filled at the time is poor diesel oil, the T-BOX stores the refueling position, the illegal refueling times and the refueling amount in the memory card. When the sum of the illegal refueling amount and the illegal refueling frequency exceeds a certain limit, the T-BOX stores the illegal refueling frequency and the refueling amount data and uploads the illegal refueling frequency and the refueling amount data to a corresponding government supervision platform through a wireless communication module, and the government processes the illegal refueling vehicle through a corresponding supervision means. When the sum of the filling weight and the filling amount times of the poor diesel oil of the automobile is accumulated to a certain value, the T-BOX sends alarm information to a server through a wireless communication module to warn the automobile that the poor diesel oil is filled for a long time. Meanwhile, the T-BOX uploads all relevant information such as the illegal refueling frequency and refueling amount data of the vehicle stored in the data storage module for a long time to a corresponding government supervision platform through the wireless communication module and the server, and the government can process the illegal refueling vehicle through a corresponding supervision means.
The government and enterprise monitoring platform records and modifies the information of all vehicles in use and the positioning information of the normal gasoline stations through the server; the method comprises the steps of analyzing the number of times of filling inferior diesel oil into a certain vehicle, the sum of the weight of the filled inferior diesel oil, the places of filling the inferior diesel oil into the vehicles and the number of times of occurrence of each place by utilizing all large data of vehicles which illegally fill the inferior diesel oil stored in a server, displaying the places of filling the inferior diesel oil into the specified vehicles within a specified time and the filling weight, and displaying the places of filling the inferior diesel oil into the vehicles with the largest sum of the number of times of occurrence in the vehicles after statistical processing.
The above description is only for the preferred embodiment of the present invention and is not intended to limit the scope of the present invention, and all equivalent structural changes made by using the contents of the present specification and the drawings, or any other related technical fields, are intended to be covered by the scope of the present invention.
Claims (6)
1. The device for monitoring the fuel filling quality based on big data driving is characterized by comprising a fuel liquid level sensor, a differential pressure sensor, an electronic control unit ECU, a vehicle-mounted networking terminal T-BOX, a server and a monitoring platform, wherein the fuel liquid level sensor and the differential pressure sensor are respectively connected with the electronic control unit ECU, the electronic control unit ECU is connected with the vehicle-mounted networking terminal T-BOX through a CAN (controller area network) line, the vehicle-mounted networking terminal T-BOX comprises a power module, a data processing and storing module, a GPS (global positioning system) module, a control module and a wireless communication module, the wireless communication module is connected with the server through wireless communication equipment, and the server is connected with the monitoring platform.
2. The big data drive-based fuel filling quality monitoring device as claimed in claim 1, wherein the fuel level sensor is located in a fuel tank of an automobile and records the weight of fuel filled each time and the filling place, and the differential pressure sensor is located at an automobile exhaust after-treatment device and is used for recording the pressure difference between an inlet and an outlet of the exhaust after-treatment device.
3. The fuel filling quality monitoring method based on big data driving is characterized by comprising the following steps of:
s1) determining suspected poor fuel: when a vehicle owner opens a fuel tank cover, the vehicle reads the weight and the filling place of the fuel filled by the vehicle through a fuel level sensor and a GPS module in a vehicle-mounted networking terminal T-BOX, the position information of all normal gas stations is stored in the vehicle-mounted networking terminal T-BOX by comparison, when the vehicle is in a filling state, a control module identifies and judges a GPS signal, and when the GPS positioning position belongs to the position range of all normal gas stations, namely the vehicle is identified to fill the fuel at the normal fuel filling point, the system judges that the fuel filled at this time is normal fuel; when the GPS positioning position does not belong to the position range of all the regular gas stations, namely the vehicle is identified not to be filled with fuel at the regular fuel filling point, the system determines that the filled fuel is suspected to be poor fuel;
s2) determining true poor fuel: when the system identifies that the fuel oil filled at this time is suspected to be poor fuel oil, the vehicle-mounted networking terminal T-BOX acquires and monitors the driving mileage, the fuel consumption, the pressure difference change of the post-processing device and the regeneration frequency information of the automobile during the fuel oil using period in real time through the CAN bus, and judges whether the suspected poor fuel oil is the real poor fuel oil or not through the fuel consumption, the pressure drop change of the tail gas post-processing device and the regeneration frequency;
s3) handling the offending refueled vehicle: when the system judges that the automobile is filled with real inferior fuel, a control module of the vehicle-mounted networking terminal T-BOX records the weight of the fuel filled during the refueling period and stores the refueling position, the illegal refueling frequency and the refueling amount in a data storage module, and when the weight and the frequency of the inferior fuel filled are accumulated to a certain limit value, the vehicle-mounted networking terminal T-BOX sends alarm information to a server to warn the vehicle that the inferior fuel is filled for a long time; meanwhile, the vehicle-mounted networking terminal T-BOX uploads the relevant information of all the illegal refueling times, refueling amount data and vehicle parameters of the vehicle stored in the data storage module to a server through wireless communication equipment, the server transmits the relevant information to a corresponding government supervision platform, and the government processes the illegal refueling vehicle through a corresponding supervision means;
s4) determining a poor fuel filling point: the monitoring platform records, modifies and increases the information of all vehicles in use and the positioning information of the regular gasoline stations through the information storage and management module; the number of times of filling the inferior diesel oil by a certain vehicle, the sum of the weight of the filled inferior fuel oil and the number of times of filling the inferior fuel oil by all vehicles and the number of times of occurrence of each place are counted by an information processing and counting module by utilizing the big data of all vehicles which illegally fill the inferior diesel oil stored in the server; and the site of the designated vehicle for filling the inferior fuel in a designated time, the filling weight and the site with the largest occurrence frequency of the inferior fuel filling in all vehicles are monitored and displayed, and when the occurrence frequency sum of the inferior fuel filling sites exceeds the limit, the site is determined to have the inferior fuel filling point.
4. The big data drive-based fuel filling quality monitoring method according to claim 3, wherein the step S2) of determining whether the suspected low-quality fuel is the real low-quality fuel through the fuel consumption comprises the following steps: utilization of stored usage positive data in a vehicle-mounted networking terminal T-BOX during driving of a vehicle using suspected poor fuelThe fuel consumption MAP obtained by regular fuel is integrated to obtain the fuel consumption m if the regular fuel is used in the driving period of the section1And the ECU is utilized to obtain the real oil consumption m through a fuel oil level sensor2If m is2-m1If the fuel oil is larger than the threshold value, the suspected poor fuel oil is judged to be the real poor fuel oil.
5. The big data drive-based fuel filling quality monitoring method according to claim 4, wherein the step S2) of determining whether the suspected fuel is the true fuel with poor quality according to the pressure drop change of the exhaust gas after-treatment device comprises the following steps: during the driving period of the automobile using the fuel oil for filling, the carbon loading capacity change of the tail gas post-processing device during the driving period is obtained by using original machine emission MAP which is stored in a vehicle-mounted networking terminal T-BOX and obtained when normal fuel oil is used, the pressure drop change of the tail gas post-processing device corresponding to the normal fuel oil is obtained by using the carbon loading capacity change, then the real-time pressure drop change is obtained by using a pressure difference sensor of the tail gas post-processing device, and if the pressure drop increase rate delta p corresponding to the fuel oil for filling is used, the real-time pressure drop change is obtained2Greater than the rate of increase in pressure drop Δ p corresponding to the use of regular fuel1I.e. Δ p2-Δp1If the fuel is larger than the threshold value, the fuel is judged to be filled with poor fuel.
6. The big data drive-based fuel filling quality monitoring method according to claim 5, wherein the step S2) of determining whether the suspected fuel with poor quality is the real fuel with poor quality according to the regeneration frequency of the exhaust gas after-treatment device comprises the following steps: during driving with this fueling, it was calculated that the regeneration frequency of the exhaust gas after-treatment device when regular fuel was used should be n1Acquiring the regeneration frequency n of the automobile exhaust after-treatment device through the ECU2If n is2-n1If the fuel oil is larger than the threshold value, the suspected poor fuel oil is judged to be the real poor fuel oil.
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114087056A (en) * | 2021-10-11 | 2022-02-25 | 潍柴动力股份有限公司 | Diesel oil sulfur content prediction method and device and engine |
| CN114179739A (en) * | 2021-12-24 | 2022-03-15 | 无锡伟博汽车科技有限公司 | Algorithm system for evaluating quality of diesel oil product added to truck |
| CN114236053A (en) * | 2021-12-16 | 2022-03-25 | 北京华志信科技股份有限公司 | Integrated comprehensive supervision method for vehicle exhaust |
| CN114414777A (en) * | 2021-12-08 | 2022-04-29 | 潍柴动力股份有限公司 | Fuel oil sample retention monitoring system and method |
| CN114890367A (en) * | 2022-03-25 | 2022-08-12 | 潍柴动力股份有限公司 | Method and device for determining refueling position of vehicle |
| CN116293410A (en) * | 2023-05-15 | 2023-06-23 | 深圳市兰洋科技有限公司 | Analysis method and device based on intelligent electronic scale |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111507864A (en) * | 2020-04-29 | 2020-08-07 | 北理新源(佛山)信息科技有限公司 | Gas station type determination method and system based on GuoLiu intelligent vehicle-mounted terminal |
| CN112102523A (en) * | 2020-11-09 | 2020-12-18 | 潍柴动力股份有限公司 | Poor-quality gas station identification method and device, server and Internet of vehicles system |
-
2021
- 2021-02-22 CN CN202110197832.7A patent/CN112945309A/en active Pending
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111507864A (en) * | 2020-04-29 | 2020-08-07 | 北理新源(佛山)信息科技有限公司 | Gas station type determination method and system based on GuoLiu intelligent vehicle-mounted terminal |
| CN112102523A (en) * | 2020-11-09 | 2020-12-18 | 潍柴动力股份有限公司 | Poor-quality gas station identification method and device, server and Internet of vehicles system |
Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114087056A (en) * | 2021-10-11 | 2022-02-25 | 潍柴动力股份有限公司 | Diesel oil sulfur content prediction method and device and engine |
| CN114087056B (en) * | 2021-10-11 | 2023-01-24 | 潍柴动力股份有限公司 | Diesel oil sulfur content prediction method and device and engine |
| CN114414777A (en) * | 2021-12-08 | 2022-04-29 | 潍柴动力股份有限公司 | Fuel oil sample retention monitoring system and method |
| CN114414777B (en) * | 2021-12-08 | 2024-01-12 | 潍柴动力股份有限公司 | Fuel sample retention monitoring system and method |
| CN114236053A (en) * | 2021-12-16 | 2022-03-25 | 北京华志信科技股份有限公司 | Integrated comprehensive supervision method for vehicle exhaust |
| CN114179739A (en) * | 2021-12-24 | 2022-03-15 | 无锡伟博汽车科技有限公司 | Algorithm system for evaluating quality of diesel oil product added to truck |
| CN114890367A (en) * | 2022-03-25 | 2022-08-12 | 潍柴动力股份有限公司 | Method and device for determining refueling position of vehicle |
| CN114890367B (en) * | 2022-03-25 | 2024-04-16 | 潍柴动力股份有限公司 | Method and device for determining refueling position of vehicle |
| CN116293410A (en) * | 2023-05-15 | 2023-06-23 | 深圳市兰洋科技有限公司 | Analysis method and device based on intelligent electronic scale |
| CN116293410B (en) * | 2023-05-15 | 2023-07-28 | 深圳市兰洋科技有限公司 | Analysis method and device based on intelligent electronic scale |
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