CN110426101A - A kind of fuel tank fuel quantity monitoring optimizing method - Google Patents
A kind of fuel tank fuel quantity monitoring optimizing method Download PDFInfo
- Publication number
- CN110426101A CN110426101A CN201910419390.9A CN201910419390A CN110426101A CN 110426101 A CN110426101 A CN 110426101A CN 201910419390 A CN201910419390 A CN 201910419390A CN 110426101 A CN110426101 A CN 110426101A
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- value
- fuel tank
- seconds
- average value
- oil leak
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Classifications
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D1/00—Measuring arrangements giving results other than momentary value of variable, of general application
- G01D1/02—Measuring arrangements giving results other than momentary value of variable, of general application giving mean values, e.g. root means square values
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01F—MEASURING VOLUME, VOLUME FLOW, MASS FLOW OR LIQUID LEVEL; METERING BY VOLUME
- G01F22/00—Methods or apparatus for measuring volume of fluids or fluent solid material, not otherwise provided for
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01F—MEASURING VOLUME, VOLUME FLOW, MASS FLOW OR LIQUID LEVEL; METERING BY VOLUME
- G01F23/00—Indicating or measuring liquid level or level of fluent solid material, e.g. indicating in terms of volume or indicating by means of an alarm
- G01F23/80—Arrangements for signal processing
Abstract
It include that fuel tank real time data is monitored using liquid level sensor the invention discloses a kind of fuel tank fuel quantity monitoring optimizing method, the fuel tank real time data of acquisition is filtered and display is reported to show, specific steps are as follows: based process, liquid level sensor carries out fuel tank real-time data acquisition with certain frequency, and multiple real time datas of acquired fuel tank per second are subjected to average value A calculating, using average value A as the fuel tank real time data of this second；Report processing, the average value A in some cycles is divided into three parts according to size order again, disposes two parts of maximum value and minimum value, retains intermediate value part, and by median carry out average value B calculating, then by average value B be updated at certain intervals and as display oil mass；Processing is modified to data again, can finally eliminate environment influence, realization monitors more accurate purpose to fuel tank fuel quantity.
Description
Technical field
The invention belongs to oil masses to monitor field, and in particular to a kind of fuel tank fuel quantity monitoring optimizing method.
Background technique
When monitoring vehicle fuel tank fuel quantity, the real time data monitoring of fuel tank fuel quantity is carried out only smooth using liquid level sensor
Surface conditions under relatively precisely, and most of road environments are complex, especially jolt, long descending and long uphill condition,
In the above case, the gasoline in fuel tank can also rock, and the real time data and real data that liquid level sensor is fed back
Comparing down becomes inaccuracy, and unobvious with the monitoring effect of two kinds of situations of oil leak for refueling, from data statistics song
Line can be seen that data fluctuations are larger, be highly detrimental to carry out Fuel consumption analysis and vehicle condition analysis.
Summary of the invention
For the defects in the prior art, the present invention provides a kind of fuel tank fuel quantity monitoring optimizing method, to real time data into
Row segmentation and filtering processing, so that reporting the data of display more accurate, output statistic curve more has break-up value.
Fuel tank fuel quantity monitoring optimizing method of the invention includes monitoring fuel tank real time data using liquid level sensor, to acquisition
Fuel tank real time data be filtered and display reported to be shown, specific steps are as follows:
Based process, liquid level sensor carry out fuel tank real-time data acquisition with frequency acquisition X, and by acquired fuel tank per second
Multiple real time datas carry out average value A calculating, using average value A as the fuel tank real time data of this second.
Report processing, then the average value A in some cycles divided into three parts according to size order, dispose maximum value and
Two parts of minimum value, retain intermediate value part, and median is carried out average value B calculating, then by average value B with every 10s into
Row updates and as the display oil mass for reporting display.
Rise correcting process, the maximum value for allowing for every 10 seconds to rise is 0.1L；If updating point B2Greater than B1+ M, then new B value
=B1+ M reports display oil mass as update, does not otherwise correct；The value of M be it is settable, range is 0.1-0.3.
Decline correcting process, the maximum value for allowing for every 10 seconds to decline is 0.4L；If updating point B2Less than B1- N, then B2=B1-
N；Otherwise it does not correct；The value of N be it is settable, range is 0.4- 1.
When refueling with oil leak, on the basis of data do based process, average value C calculating is carried out according to every 3 points, if even
Continue the oiling threshold value that N number of average value C reaches setting, then enters fueling state, then when average value C is constant or decline, refuel
Terminate, the display oil mass during this becomes update per second；If continuous N number of average value all reaches the oil leak threshold value of setting, into
Enter oil leak state, then when average value C is constant or decline, oil leak terminates, and the display oil mass during this becomes update per second.
The liquid level sensor is capacitance type liquid level beam hanger or ultrasonic liquid level sensor or pressure liquid level sensor.
In fueling state, looked for forward 60 seconds with start time of refueling, and by the data in this 60 seconds be divided into every section 10 seconds 6
Section, every section calculates average D, and minimum value therein is as oiling initial value；It is looked for backward 60 seconds with finish time of refueling, and will
Data in this 60 seconds are divided into every section of 6 sections of 10 seconds, and every section calculates average E, and maximum value therein is as oiling end value；
Oiling end value and the difference of oiling initial value are then volume read-out.
In oil leak state, looked for forward 60 seconds with oil leak start time, and by the data in this 60 seconds be divided into every section 10 seconds 6
Section, every section calculates average F, and minimum value therein is as oil leak initial value；It is looked for backward 60 seconds with oil leak finish time, and will
Data in this 60 seconds are divided into every section of 6 sections of 10 seconds, and every section calculates average G, and maximum value therein is as oil leak end value；
The difference of oil leak initial value and oil leak end value is then oil leak amount.
The value of X in the above process is 10.
The beneficial effects of the present invention are: by oil tank liquid level sensor caused in the case of the climb and fall during actual travel
Real time information collected differs larger situation optimization processing with real data, and will refuel and combine in fact with two kinds of situations of oil leak
Border considers that carrying out corresponding filtering calculates, and is finally reached more accurate fuel tank fuel quantity monitoring effect.
Specific embodiment
It should be noted that unless otherwise indicated, technical term or scientific term used in this application should be this hair
The ordinary meaning that bright one of ordinary skill in the art are understood.
The fuel tank fuel quantity monitoring optimizing method of the present embodiment, including fuel tank real time data is monitored using liquid level sensor, it is right
The fuel tank real time data of acquisition is filtered and display is reported to be shown, specific steps are as follows:
Based process, liquid level sensor is with 10 progress fuel tank real-time data acquisition per second, and by acquired fuel tank per second
Multiple real time datas carry out average value A calculating, using average value A as the fuel tank real time data of this second.
Report processing, then the average value A in some cycles divided into three parts according to size order, dispose maximum value and
Two parts of minimum value, retain intermediate value part, and median is carried out average value B calculating, then by average value B with every 10s into
Row updates and as display oil mass.
Rise correcting process, the maximum value for allowing for every 10 seconds to rise is 0.1L；If updating point B2Greater than B1+ M, then new B value
=B1+ M reports display oil mass as update, does not otherwise correct；The value of M be it is settable, range is 0.1-0.3.
Decline correcting process, the maximum value for allowing for every 10 seconds to decline is 0.4L；If updating point B2Less than B1- N, then B2=B1-
N；Otherwise it does not correct；The value of N be it is settable, range is 0.4- 1.
When refueling with oil leak, on the basis of data do based process, average value C calculating is carried out according to every 3 points, if even
Continue the oiling threshold value that N number of average value C value all reaches setting, then enters fueling state, then when average value C is constant or decline, add
Oil terminates, and the display oil mass during this becomes update per second；If continuous N number of average value all reaches the oil leak threshold value of setting,
Into oil leak state, then when average value C is constant or decline when, oil leak terminates, the display oil mass during this become it is per second more
Newly.
The liquid level sensor is capacitance type liquid level beam hanger or ultrasonic liquid level sensor or pressure liquid level sensor.
In fueling state, looked for forward 60 seconds with start time of refueling, and by the data in this 60 seconds be divided into every section 10 seconds 6
Section, every section calculates average D, and minimum value therein is as oiling initial value；It is looked for backward 60 seconds with finish time of refueling, and will
Data in this 60 seconds are divided into every section of 6 sections of 10 seconds, and every section calculates average E, and maximum value therein is as oiling end value；
Oiling end value and the difference of oiling initial value are then volume read-out.
Here be arranged in refuel start time look for forward 60 seconds and refuel finish time look for backward 60 seconds, be based on
The case where being actually consistent design is stopped working before refueling under normal circumstances, and driver unlocks safety belt and gets off and service with gas station
The time that personnel link up and are lined up usually at 60 seconds or more, and on also needing to pay and make out an invoice and complete after the completion of refueling
Vehicle movement, is at least also required to 60 second time, and therefore, design time is 60 seconds, and specific more accurate data can be according to sampling
Investigation is to design.
In oil leak state, looked for forward 60 seconds with oil leak start time, and by the data in this 60 seconds be divided into every section 10 seconds 6
Section, every section calculates average F, and minimum value therein is as oil leak initial value；It is looked for backward 60 seconds with oil leak finish time, and will
Data in this 60 seconds are divided into every section of 6 sections of 10 seconds, and every section calculates average G, and maximum value therein is as oil leak end value；
The difference of oil leak initial value and oil leak end value is then oil leak amount.Similarly, for these reasons, the time looked for forward and backward is designed
It is 60 seconds.
The mailbox real time data of acquisition can be optimized more accurate in this approach, have more reference value.Reduce
The vehicle error that the shaking of gasoline generates in the mailbox in ascents and descents influences.
Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention., rather than its limitations；To the greatest extent
Pipe present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that: its according to
So be possible to modify the technical solutions described in the foregoing embodiments, or to some or all of the technical features into
Row equivalent replacement；And these are modified or replaceed, various embodiments of the present invention technology that it does not separate the essence of the corresponding technical solution
The range of scheme should all cover within the scope of the claims and the description of the invention.
Claims (5)
1. a kind of fuel tank fuel quantity monitoring optimizing method, which is characterized in that fuel tank real time data is monitored using liquid level sensor, to adopting
The fuel tank real time data of collection is filtered and display is reported to be shown, specific steps are as follows:
Based process, liquid level sensor carry out fuel tank real-time data acquisition with frequency acquisition X, and by the more of acquired fuel tank per second
A real time data carries out average value A calculating, using average value A as the fuel tank real time data of this second；
Processing is reported, then the average value A in some cycles is divided into three parts according to size order, disposes maximum value and minimum
Two parts of value retain intermediate value part, and median are carried out average value B calculating, then average value B was carried out more with every 10 seconds
Newly and as the display oil mass for reporting display；
Rise correcting process, the maximum value for allowing for every 10 seconds to rise is M liter；If updating point B2Greater than B1+ M, then new B value=B1
+ M reports display oil mass as update, does not otherwise correct；The value of M be it is settable, range is 0.1-0.3；Decline Corrections Division
Reason, the maximum value for allowing for every 10 seconds to decline are N liter；If updating point B2Less than B1- N, then new B value=B1-N；Otherwise it does not repair
Just；The value of N be it is settable, range is 0.4-1；
When refueling with oil leak, on the basis of data do based process, average value C calculating is carried out according to every 3 points, if continuous N
A average value C reaches the oiling threshold value of setting, then enters fueling state, then when average value C is constant or decline, refuel knot
Beam, the display oil mass during this become update per second；If continuous N number of average value all reaches the oil leak threshold value of setting, enter
Oil leak state, then when average value C is constant or decline, oil leak terminates, and the display oil mass during this becomes update per second.
2. a kind of fuel tank fuel quantity monitoring optimizing method according to claim 1, which is characterized in that the liquid level sensor is
Capacitance type liquid level beam hanger or ultrasonic liquid level sensor or pressure liquid level sensor.
3. a kind of fuel tank fuel quantity monitoring optimizing method according to claim 1, which is characterized in that in fueling state, to add
Oily start time looks for forward 60 seconds, and the data in this 60 seconds are divided into every section of 6 sections of 10 seconds, and every section calculates average D,
In minimum value as oiling initial value；It is looked for backward 60 seconds with finish time of refueling, and the data in this 60 seconds is divided into every section
6 sections of 10 seconds, every section calculates average E, and maximum value therein is as oiling end value；Oiling end value and oiling initial value
Difference be then volume read-out.
4. a kind of fuel tank fuel quantity monitoring optimizing method according to claim 1, which is characterized in that in oil leak state, with leakage
Oily start time looks for forward 60 seconds, and the data in this 60 seconds are divided into every section of 6 sections of 10 seconds, and every section calculates average F,
In minimum value as oil leak initial value；It is looked for backward 60 seconds with oil leak finish time, and the data in this 60 seconds is divided into every section
6 sections of 10 seconds, every section calculates average G, and maximum value therein is as oil leak end value；Oil leak initial value and oil leak end value
Difference be then oil leak amount.
5. a kind of fuel tank fuel quantity monitoring optimizing method according to claim 1, which is characterized in that the value of X is 10.
Priority Applications (1)
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| CN201910419390.9A CN110426101A (en) | 2019-05-20 | 2019-05-20 | A kind of fuel tank fuel quantity monitoring optimizing method |
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN111238600A (en) * | 2020-02-12 | 2020-06-05 | 五羊—本田摩托（广州）有限公司 | Vehicle remaining oil amount detection method and device, vehicle and storage medium |
| CN111862384A (en) * | 2019-12-30 | 2020-10-30 | 北京嘀嘀无限科技发展有限公司 | Oil quantity monitoring method and device, electronic equipment and readable storage medium |
| CN111924791A (en) * | 2020-07-22 | 2020-11-13 | 南京智鹤电子科技有限公司 | Oil tank oil level calibration method and device and electronic equipment |
| CN113051311A (en) * | 2021-03-16 | 2021-06-29 | 鱼快创领智能科技(南京)有限公司 | Method, system and device for monitoring abnormal change of liquid level of vehicle oil tank |
| CN113959569A (en) * | 2021-10-25 | 2022-01-21 | 京东方科技集团股份有限公司 | Temperature measurement method and device, temperature measurement equipment and storage medium |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN111862384A (en) * | 2019-12-30 | 2020-10-30 | 北京嘀嘀无限科技发展有限公司 | Oil quantity monitoring method and device, electronic equipment and readable storage medium |
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| CN113051311A (en) * | 2021-03-16 | 2021-06-29 | 鱼快创领智能科技(南京)有限公司 | Method, system and device for monitoring abnormal change of liquid level of vehicle oil tank |
| CN113051311B (en) * | 2021-03-16 | 2023-07-28 | 鱼快创领智能科技(南京)有限公司 | Method, system and device for monitoring abnormal change of liquid level of vehicle oil tank |
| CN113959569A (en) * | 2021-10-25 | 2022-01-21 | 京东方科技集团股份有限公司 | Temperature measurement method and device, temperature measurement equipment and storage medium |
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Application publication date: 20191108 |