CN112487052B - High-stability fuel density data processing method - Google Patents
High-stability fuel density data processing method Download PDFInfo
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- CN112487052B CN112487052B CN202011272272.9A CN202011272272A CN112487052B CN 112487052 B CN112487052 B CN 112487052B CN 202011272272 A CN202011272272 A CN 202011272272A CN 112487052 B CN112487052 B CN 112487052B
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- 239000000446 fuel Substances 0.000 title claims abstract description 14
- 238000003672 processing method Methods 0.000 title claims abstract description 9
- 238000000034 method Methods 0.000 claims abstract description 21
- 238000005259 measurement Methods 0.000 claims abstract description 18
- 230000008569 process Effects 0.000 claims abstract description 12
- 230000008859 change Effects 0.000 claims description 42
- 230000035945 sensitivity Effects 0.000 abstract 2
- 238000010586 diagram Methods 0.000 description 2
- 238000001914 filtration Methods 0.000 description 2
- 238000005096 rolling process Methods 0.000 description 2
- 230000007613 environmental effect Effects 0.000 description 1
- 239000003350 kerosene Substances 0.000 description 1
- 239000007788 liquid Substances 0.000 description 1
- 238000000691 measurement method Methods 0.000 description 1
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- 238000012986 modification Methods 0.000 description 1
- 239000000126 substance Substances 0.000 description 1
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Abstract
The invention provides a high-stability fuel density data processing method, which divides two time periods to process a density real-time settlement value Den. Combining engineering application experience in the first period, namely an unstable period of the work of the density sensor, wherein the density data is subjected to amplitude limiting treatment and is output in real time, so that the measurement sensitivity and the measurement are ensured to be recovered quickly; and in the second period, the stable working period of the density sensor is adopted, and the real-time measurement value of the density is subjected to amplitude limiting, amplitude limiting and speed limiting. Wherein the variation amplitude and the variation speed can be properly adjusted according to the actual engineering requirements and the measurement sensitivity. The invention improves the conventional data processing invention, improves the measurement performance of the density sensor in the vibration and strong electromagnetic interference environment, and ensures that the measurement is better and more stable.
Description
Technical Field
The invention belongs to the field of sensor data acquisition and processing, and particularly relates to a high-stability fuel density data processing method.
Background
The density sensor is widely used for an aircraft fuel measurement system, but the density sensor widely used at present has poor anti-interference capability, is easily influenced by external electromagnetic interference and bubbles in measured liquid in the normal measurement process, and causes the measurement output result to deviate from a normal value. Currently, density measurement software commonly used with density sensors directly outputs measured values for density data or without processing, or simply rolls and filters and then outputs the measured values. A flow chart of the operation of simple rolling filtering is shown in fig. 1. Such data processing is easy to implement, but the measurement stability is poor and is subject to external interference.
Disclosure of Invention
Aiming at the problems of crude measurement method, poor data stability and easy external interference in the prior art, the invention provides a high-stability fuel density data processing method, which is used for tightly combining the inherent characteristics of a measured object to perform data processing and processing in stages, and ensuring the timeliness and the accuracy; the stability of the measurement was measured.
The invention has the following specific implementation contents:
The invention provides a high-stability fuel density data processing method, which is characterized in that a density sensor is used for measuring density data of aircraft fuel, and real-time resolving is carried out on the measured value to obtain a density real-time settlement value Den; the process of data processing of the density real-time settlement value Den is divided into two periods: the method sequentially comprises a rapid processing stage, an amplitude limiting and speed limiting chase processing stage;
Setting an amplitude upper limit threshold Dmax and an amplitude lower limit threshold Dmin for the density real-time settlement value Den;
firstly, entering a quick processing stage, processing measured density data and outputting a result, then entering a limiting and speed-limiting chasing processing stage, and continuously processing the real-time measured data and outputting a current output value Dout;
In the rapid processing stage, only carrying out amplitude limiting processing on the measured density data, and outputting a current output value Dout after data processing in real time;
And in the amplitude limiting and speed limiting pursuit processing stage, carrying out amplitude limiting, amplitude limiting change and change speed processing on the density data measured in real time, and outputting the current output value Dout after data processing in real time.
In order to better realize the invention, further, in the rapid processing stage, whether the obtained density real-time settlement value Den exceeds the amplitude upper limit threshold Dmax or the amplitude lower limit threshold Dmin is judged in real time;
If yes, setting the fault bit PU_ WrongStatus of the system to 1 according to the exceeded amplitude upper limit threshold Dmax or amplitude lower limit threshold Dmin;
if the current output value Dout is not exceeded, the density real-time settlement value Den is directly output in real time and is used as the current output value Dout after data processing.
In order to better realize the invention, further, when in the whole rapid processing stage, if the obtained density real-time settlement value Den is judged to exceed the amplitude upper limit threshold Dmax or the amplitude lower limit threshold Dmin, but the density real-time settlement value Den is restored to be within the amplitude upper limit threshold Dmax and the amplitude lower limit threshold Dmin before the rapid processing stage is finished, the fault bit PU_ WrongStatus is set to 0, and the density real-time settlement value Den is directly output in real time as the current output value Dout.
In order to better realize the invention, further, the running time t is set for the rapid processing stage, and when the time t1 in the rapid processing stage is longer than the running time t, the rapid processing stage is ended, and the limiting and speed-limiting chasing processing stage is entered.
In order to better realize the invention, further, when entering the limiting and speed-limiting chasing processing stage, firstly judging a fault bit PU_ WrongStatus of the system, if the setting of the fault bit PU_ WrongStatus is 1, taking a density real-time settlement value Den output by the rapid processing stage as a current output value Dout of the stage, and taking the current density real-time settlement value Den as an initial value of the stage to perform data processing until the setting of the fault bit PU_ WrongStatus is 0, and outputting the current output value Dout;
If the fault bit pu_ WrongStatus is set to 0 after entering the clipping and speed limiting chase processing stage, the current density real-time settlement value Den is directly used as the initial value of the stage to perform data processing.
In order to better realize the invention, further, a change interval time t2 is set, the data change time interval of the density real-time settlement value Den is judged in the amplitude limiting and speed limiting pursuit processing stage, and if the data change time interval meets the change interval time t2 and the density real-time settlement value Den is not equal to the current output value Dout, the current output value Dout is output after step change processing according to the relative change trend of the density real-time settlement value Den; the step change process includes the following:
(1) Performing incremental change step Dstep processing on the density real-time settlement value Den;
(2) Performing a step-down change step length Dstep treatment on the density real-time settlement value Den;
(3) And keeping the current step length unchanged for output.
In order to better realize the invention, further, if the data change time interval does not meet the set change interval time t2, the compensation change process is not performed on the current output value Dout, and the current output value Dout is directly output.
In order to better realize the invention, further, after the stable measurement of the limiting and speed-limiting chasing processing stage for a period of time, counting the out-of-limit times Den_ wrong that the density real-time settlement value Den exceeds the amplitude upper limit threshold Dmax or the amplitude lower limit threshold Dmin in the limiting and speed-limiting chasing processing stage, and setting the upper limit threshold of the out-of-limit times Den_ wrong;
When the density real-time settlement value Den exceeds the amplitude upper limit threshold Dmax or the amplitude lower limit threshold Dmin and the out-of-limit frequency Den_ wrong reaches the upper limit threshold of the out-of-limit frequency Den_ wrong, fixing the current output value Dout as the current output value Dout of the previous period;
And after the density real-time settlement value Den is restored to the range of the amplitude upper limit threshold Dmax or the amplitude lower limit threshold Dmin, clearing the out-of-limit frequency Den_ wrong, and returning to normal data processing of the density real-time settlement value Den in the limiting and speed-limiting chasing processing stage.
Compared with the prior art, the invention has the following advantages:
(1) By improving the conventional density data processing method, the measurement performance of the density sensor in the vibration and strong electromagnetic interference environment is improved, so that the measurement of the density sensor in the environment is better and more stable;
(2) The method has reasonable logic, clear thought and strong suitability, and is widely applicable to various capacitance type oil mass measuring systems.
Drawings
FIG. 1 is a block diagram of a prior art process for data processing using rolling filtering;
FIG. 2 is a schematic diagram of the overall process of the present invention.
Detailed Description
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it should be understood that the described embodiments are only some embodiments of the present invention, but not all embodiments, and therefore should not be considered as limiting the scope of protection. All other embodiments, which are obtained by a worker of ordinary skill in the art without creative efforts, are within the protection scope of the present invention based on the embodiments of the present invention.
Example 1:
The embodiment provides a high-stability fuel density data processing method, which is characterized in that a density sensor is used for measuring density data of aircraft fuel, the measured value is resolved in real time to obtain a density real-time settlement value Den, and the method combines the inherent characteristics of a measured target to process the data of the density real-time settlement value Den; the process of data processing of the density real-time settlement value Den is divided into two periods: the method sequentially comprises a rapid processing stage, an amplitude limiting and speed limiting chase processing stage;
Setting an amplitude upper limit threshold Dmax and an amplitude lower limit threshold Dmin for the density real-time settlement value Den; wherein the magnitude of the amplitude upper limit threshold Dmax and the magnitude of the amplitude lower limit threshold Dmin are related to the measured substance characteristic and the measured environmental condition; for example, aviation kerosene PR-3 is usually limited to 0.700kg/L to 0.900kg/L;
firstly, entering a quick processing stage, processing measured density data and outputting a result, then entering a limiting and speed-limiting chasing processing stage, and continuously processing the real-time measured data and outputting a current output value Dout;
In the rapid processing stage, only carrying out amplitude limiting processing on the measured density data, and outputting a current output value Dout after data processing in real time;
And in the amplitude limiting and speed limiting pursuit processing stage, carrying out amplitude limiting, amplitude limiting change and change speed processing on the density data measured in real time, and outputting the current output value Dout after data processing in real time.
1. In the rapid processing phase:
(1) Judging whether the obtained density real-time settlement value Den exceeds the amplitude upper limit threshold Dmax or the amplitude lower limit threshold Dmin in real time;
If yes, setting the fault bit PU_ WrongStatus of the system to 1 according to the exceeded amplitude upper limit threshold Dmax or amplitude lower limit threshold Dmin;
if the current output value Dout is not exceeded, the density real-time settlement value Den is directly output in real time and is used as the current output value Dout after data processing.
(2) When the obtained density real-time settlement value Den is judged to exceed the amplitude upper limit threshold Dmax or the amplitude lower limit threshold Dmin in the whole rapid processing stage, but the density real-time settlement value Den is restored to be within the amplitude upper limit threshold Dmax and the amplitude lower limit threshold Dmin before the rapid processing stage is finished, the fault bit PU_ WrongStatus is set to 0, and the density real-time settlement value Den is directly output in real time as a current output value Dout.
(3) Setting running time t for the rapid processing stage, ending the rapid processing stage when the time t1 in the rapid processing stage is longer than the running time t, and entering the limiting and speed-limiting chasing processing stage. Wherein the time t1 of the fast processing stage is related to the measured system characteristics, and may be assisted by other measured inputs. The time t1 is typically set to 15S as a density sensor employing the vibrating cylinder measurement principle.
2. Entering the amplitude limiting and speed limiting chasing processing stage:
(1) Firstly judging a fault bit PU_ WrongStatus of the system, if the setting of the fault bit PU_ WrongStatus is 1, taking a density real-time settlement value Den output by a rapid processing stage as a current output value Dout of the stage, and taking the current density real-time settlement value Den as an initial value of the stage to perform data processing until the setting of the fault bit PU_ WrongStatus becomes 0, and outputting the current output value Dout;
If the fault bit pu_ WrongStatus is set to 0 after entering the clipping and speed limiting chase processing stage, the current density real-time settlement value Den is directly used as the initial value of the stage to perform data processing.
(2) Setting a change interval time t2, judging a data change time interval of a density real-time settlement value Den in a limiting and speed-limiting pursuit processing stage, and if the data change time interval meets the change interval time t2 and the density real-time settlement value Den is not equal to a current output value Dout, carrying out step change processing according to a relative change trend of the density real-time settlement value Den and then outputting the current output value Dout; the step change process includes the following:
1) Performing incremental change step Dstep processing on the density real-time settlement value Den;
2) Performing a step-down change step length Dstep treatment on the density real-time settlement value Den;
3) And keeping the current step length unchanged for output.
If the data change time interval does not meet the set change interval time t2, the current output value Dout is not subjected to compensation change processing and is directly output.
(3) After the stable measurement is carried out for a period of time in the amplitude limiting and speed limiting chasing processing stage, counting the out-of-limit times Den_ wrong of which the density real-time settlement value Den exceeds the amplitude upper limit threshold Dmax or the amplitude lower limit threshold Dmin in the amplitude limiting and speed limiting chasing processing stage, and setting the upper limit threshold of the out-of-limit times Den_ wrong;
When the density real-time settlement value Den exceeds the amplitude upper limit threshold Dmax or the amplitude lower limit threshold Dmin and the out-of-limit frequency Den_ wrong reaches the upper limit threshold of the out-of-limit frequency Den_ wrong, fixing the current output value Dout as the current output value Dout of the previous period;
And after the density real-time settlement value Den is restored to the range of the amplitude upper limit threshold Dmax or the amplitude lower limit threshold Dmin, clearing the out-of-limit frequency Den_ wrong, and returning to normal data processing of the density real-time settlement value Den in the limiting and speed-limiting chasing processing stage.
Note that: the invention is mainly suitable for the density sensor, but can be popularized to other characteristic measurement with slow characteristic value transformation.
The foregoing description is only a preferred embodiment of the present invention, and is not intended to limit the present invention in any way, and any simple modification, equivalent variation, etc. of the above embodiment according to the technical matter of the present invention fall within the scope of the present invention.
Claims (6)
1. A high-stability fuel density data processing method, use the density sensor to carry on the measurement of the density data to the aircraft fuel, and carry on the real-time calculation to the measured value, get the density real-time settlement value Den, characterized by that, set up the upper limit threshold Dmax and lower limit threshold Dmin of the amplitude to the density real-time settlement value Den, then carry on the data processing to the density real-time settlement value Den; the process of carrying out data processing on the density real-time settlement value Den is divided into a rapid processing stage and a limiting and speed-limiting chasing processing stage, and different processing is carried out at different time periods, specifically:
In the rapid processing stage, only carrying out amplitude limiting processing on the measured density data, and outputting a current output value Dout after data processing in real time;
In the amplitude limiting and speed limiting chasing processing stage, carrying out amplitude limiting, amplitude limiting change and change speed processing on the density data measured in real time, and outputting a current output value Dout after data processing in real time;
In the rapid processing stage, judging whether the obtained density real-time settlement value Den exceeds the amplitude upper limit threshold Dmax or the amplitude lower limit threshold Dmin in real time;
If yes, setting the fault bit PU_ WrongStatus of the system to 1 according to the exceeded amplitude upper limit threshold Dmax or amplitude lower limit threshold Dmin;
If the current output value does not exceed the current output value does, the density real-time settlement value Den is directly output in real time and used as the current output value Dout after data processing;
when entering the limiting and speed-limiting chasing processing stage, firstly judging a fault bit PU_ WrongStatus of the system, if the setting of the fault bit PU_ WrongStatus is 1, taking a density real-time settlement value Den output by the rapid processing stage as a current output value Dout of the stage, and taking the current density real-time settlement value Den as an initial value of the stage to perform data processing until the setting of the fault bit PU_ WrongStatus becomes 0, and outputting the current output value Dout;
If the fault bit pu_ WrongStatus is set to 0 after entering the clipping and speed limiting chase processing stage, the current density real-time settlement value Den is directly used as the initial value of the stage to perform data processing.
2. The method of claim 1, wherein when the obtained density real-time settlement value dn exceeds the upper amplitude threshold Dmax or the lower amplitude threshold Dmin during the whole fast processing stage, but the density real-time settlement value dn is restored to be within the upper amplitude threshold Dmax and the lower amplitude threshold Dmin before the fast processing stage is finished, the fault bit pu_ WrongStatus is set to 0, and the density real-time settlement value dn is directly output in real time as the current output value Dout.
3. The method of claim 2, wherein an operating time t is set for the fast processing stage, and when the time t1 in the fast processing stage is greater than the operating time t, the fast processing stage is ended, and the limiting and speed-limiting chase processing stage is entered.
4. The method for processing high-stability fuel density data according to claim 1, wherein a change interval time t2 is set, a data change time interval of a density real-time settlement value Den is determined in a limiting and speed-limiting pursuit processing stage, and if the data change time interval satisfies the change interval time t2 and the density real-time settlement value Den is not equal to a current output value Dout, the step change processing is performed according to a relative change trend of the density real-time settlement value Den, and then the current output value Dout is output; the step change process includes the following:
Performing incremental change step Dstep processing on the density real-time settlement value Den;
performing a step-down change step length Dstep treatment on the density real-time settlement value Den;
And keeping the current step length unchanged for output.
5. The method of claim 4, wherein if the data change time interval does not satisfy the set change interval time t2, the current output value Dout is directly output without compensation change processing.
6. The method for processing high-stability fuel density data according to any one of claims 1 to 5, wherein after a period of time is measured steadily in the limiting and speed-limiting chase processing stage, statistics is performed on the number of overrun times Den_ wrong that the density real-time settlement value Den exceeds the amplitude upper limit threshold Dmax or the amplitude lower limit threshold Dmin in the limiting and speed-limiting chase processing stage, and an upper limit threshold of the number of overrun times Den_ wrong is set;
When the density real-time settlement value Den exceeds the amplitude upper limit threshold Dmax or the amplitude lower limit threshold Dmin and the out-of-limit frequency Den_ wrong reaches the upper limit threshold of the out-of-limit frequency Den_ wrong, fixing the current output value Dout as the current output value Dout of the previous period;
And after the density real-time settlement value Den is restored to the range of the amplitude upper limit threshold Dmax or the amplitude lower limit threshold Dmin, clearing the out-of-limit frequency Den_ wrong, and returning to normal data processing of the density real-time settlement value Den in the limiting and speed-limiting chasing processing stage.
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Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101813494A (en) * | 2010-02-25 | 2010-08-25 | 上海乐春重工机电设备有限公司 | Method for eliminating interference of sensor and outside thereof |
| US20130329819A1 (en) * | 2011-02-17 | 2013-12-12 | Telefonaktiebolaget L M Ericsson (Publ) | Method, Radio Unit and Radio Base Station for Adjusting Thresholds for Crest Factor Reduction |
| CN108171120A (en) * | 2017-12-11 | 2018-06-15 | 中冶京诚工程技术有限公司 | A kind of processing method and processing device of cut deal Thickness sensitivity signal |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101813494A (en) * | 2010-02-25 | 2010-08-25 | 上海乐春重工机电设备有限公司 | Method for eliminating interference of sensor and outside thereof |
| US20130329819A1 (en) * | 2011-02-17 | 2013-12-12 | Telefonaktiebolaget L M Ericsson (Publ) | Method, Radio Unit and Radio Base Station for Adjusting Thresholds for Crest Factor Reduction |
| CN108171120A (en) * | 2017-12-11 | 2018-06-15 | 中冶京诚工程技术有限公司 | A kind of processing method and processing device of cut deal Thickness sensitivity signal |
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