CN114241815B - Computing method and device, electronic equipment and computer readable storage medium - Google Patents

Computing method and device, electronic equipment and computer readable storage medium Download PDF

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CN114241815B
CN114241815B CN202111314458.0A CN202111314458A CN114241815B CN 114241815 B CN114241815 B CN 114241815B CN 202111314458 A CN202111314458 A CN 202111314458A CN 114241815 B CN114241815 B CN 114241815B
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brake
parameter
braking
preset
value
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CN114241815A (en
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毛振中
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Shenzhen Ruida Flight Technology Co ltd
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Shenzhen Ruida Flight Technology Co ltd
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    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G5/00Traffic control systems for aircraft, e.g. air-traffic control [ATC]
    • G08G5/06Traffic control systems for aircraft, e.g. air-traffic control [ATC] for control when on the ground
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G5/00Traffic control systems for aircraft, e.g. air-traffic control [ATC]
    • G08G5/06Traffic control systems for aircraft, e.g. air-traffic control [ATC] for control when on the ground
    • G08G5/065Navigation or guidance aids, e.g. for taxiing or rolling

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  • Aviation & Aerospace Engineering (AREA)
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  • Traffic Control Systems (AREA)
  • Regulating Braking Force (AREA)

Abstract

The application discloses a method for calculating braking times of an airplane in a taxi stage. The calculation method comprises the following steps: confirming whether the preset brake parameters exist in the current flight and whether the preset brake parameters are available; under the condition that the preset brake parameter is available, calculating a brake judgment threshold value of the current flight according to the parameter value of the preset brake parameter; and determining the braking times of the current flight according to the parameter value and the braking judgment threshold value. According to the method for calculating the braking times of the airplane in the taxiing stage, whether the preset braking parameters exist or not and whether the preset braking parameters are available or not are firstly confirmed, then the braking judgment threshold value of the current flight is calculated according to the parameter values of the preset braking parameters under the condition that the preset braking parameters are available, the braking times of the current flight is determined according to the parameter values and the braking judgment threshold value, the braking times can be accurately monitored, and the cost is accurately calculated. The application also discloses a device for calculating the braking times of the airplane in the taxiing stage, electronic equipment and a computer readable storage medium.

Description

Computing method and device, electronic equipment and computer readable storage medium
Technical Field
The present application relates to the field of aeronautics, and in particular, to a computing method and apparatus, an electronic device, and a computer-readable storage medium.
Background
The aircraft can produce braking loss and extra fuel loss in the stage of coasting, and how to carry out accurate control to the braking number of times in the process that airline company improved digital operation level to realize the accurate accounting of cost, become the problem that awaits a solution urgently.
Disclosure of Invention
In view of the above, the present invention is directed to solving, at least to some extent, one of the problems in the related art. To this end, the present application aims to provide a computing method and apparatus, an electronic device, and a computer-readable storage medium thereof.
The application provides a method for calculating the braking times of an airplane in a taxi stage. The calculation method comprises the following steps: confirming whether a preset brake parameter exists in the current flight and whether the preset brake parameter is available; under the condition that the preset brake parameter is available, calculating a brake judgment threshold value of the current flight according to the parameter value of the preset brake parameter; and determining the braking times of the current flight according to the parameter value and the braking judgment threshold value.
In some embodiments, the predetermined braking parameters include at least one of a brake pedal travel gear, a brake pedal travel value, and a braking pressure value.
In some embodiments, the priority of the pedal travel position, the brake pedal travel value and the brake pressure value is gradually decreased, and the determining whether the predetermined brake parameter exists in the current flight and whether the predetermined brake parameter is available comprises: and sequentially confirming whether each type of preset braking parameters exist and whether the preset braking parameters of the current type are available according to the priority sequence.
In some embodiments, the sequentially determining whether each type of predetermined braking parameter exists and whether the current type of predetermined braking parameter is available according to the priority order includes: if the existence and the availability of the predetermined braking parameters of the category with higher priority are confirmed, stopping confirming whether the existence and the availability of the predetermined braking parameters of the remaining categories exist.
In some embodiments, the number of the predetermined braking parameters in each category includes a plurality, and the determining whether the predetermined braking parameters exist for the current flight and whether the predetermined braking parameters are available includes: and if the number of the preset brake parameters of the current category after the numerical value deduplication processing is larger than the preset number, determining that the preset brake parameters of the current category are available.
In some embodiments, the calculating the brake determination threshold of the current flight according to the parameter value of the predetermined brake parameter when the predetermined brake parameter is available includes: counting the parameter values of the preset brake parameters in the sliding process, and recording the occurrence frequency of each parameter value; arranging according to the magnitude of the parameter values in ascending order; sequentially counting the accumulated occurrence times of each parameter value or less according to the ascending sequence; calculating the proportion of each accumulated occurrence frequency to the total sampling points; and confirming the parameter value corresponding to the ratio larger than the preset ratio threshold value as the brake judgment threshold value of the current flight.
In some embodiments, the determining the number of brakes of the current flight according to the parameter value and the brake determination threshold value includes: and if the parameter values of the continuous preset number are larger than the brake judgment threshold value, confirming that the current flight is in a brake state.
The application also provides a device for calculating the braking times of the airplane in the taxiing stage. The computing device includes: the device comprises a parameter confirmation module, a calculation module and a frequency determination module. The parameter confirmation module is used for confirming whether the preset brake parameter exists in the current flight and whether the preset brake parameter is available; the calculation module is used for calculating a brake judgment threshold value of the current flight according to the parameter value of the preset brake parameter under the condition that the preset brake parameter is available; and the number determining module is used for determining the braking number of the current flight according to the parameter value and the braking judgment threshold value.
The application also provides an electronic device. The electronic device comprises a processor and a memory, wherein the memory is used for storing a computer program, and the processor realizes the computing method of any one of the above embodiments when executing the computer program.
The present application also provides a non-transitory computer-readable storage medium containing a computer program. The computer program, when executed by one or more processors, implements the computing method of any of the above embodiments.
The method and the device for calculating the braking times of the airplane in the sliding stage, the electronic equipment and the computer readable storage medium firstly confirm whether the preset braking parameters exist or not and whether the preset braking parameters are available or not, then calculate the braking judgment threshold value of the current flight according to the parameter values of the preset braking parameters under the condition that the preset braking parameters are available, and determine the braking times of the current flight according to the parameter values and the braking judgment threshold value, so that the braking times can be accurately monitored, and the accurate accounting of the cost can be realized.
Additional aspects and advantages of the present application will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the present application.
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The foregoing and/or additional aspects and advantages of the present application will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings of which:
FIG. 1 is a schematic flow chart diagram illustrating a method for calculating a number of brakes during a taxiing phase of an aircraft according to some embodiments of the present disclosure;
FIG. 2 is a schematic structural diagram of an apparatus for calculating the number of brakes in a taxiing phase of an aircraft according to some embodiments of the present disclosure;
FIG. 3 is a schematic flow chart diagram illustrating a method for calculating a number of brakes during a taxiing phase of an aircraft according to some embodiments of the present disclosure;
FIG. 4 is a schematic flow chart diagram illustrating a method for calculating a number of brakes during a taxiing phase of an aircraft according to some embodiments of the present disclosure;
FIG. 5 is a schematic flow chart diagram illustrating a method for calculating a number of brakes during a taxiing phase of an aircraft according to some embodiments of the present disclosure;
FIG. 6 is a schematic flow chart diagram illustrating a method for calculating a number of brakes during a taxiing phase of an aircraft according to some embodiments of the present disclosure;
FIG. 7 is a schematic block diagram of a computing module in a computing device according to some embodiments of the present application;
FIG. 8 is a schematic flow chart diagram illustrating a method for calculating a number of brakes during a taxiing phase of an aircraft according to some embodiments of the present disclosure;
FIG. 9 is a graphical representation of the results of a method for calculating the number of brakes during a taxiing phase of an aircraft according to some embodiments of the present disclosure;
FIG. 10 is a schematic block diagram of an electronic device in accordance with certain embodiments of the present application;
FIG. 11 is a schematic diagram of a computer-readable storage medium according to some embodiments of the present application.
Detailed Description
Reference will now be made in detail to embodiments of the present application, examples of which are illustrated in the accompanying drawings, wherein like reference numerals refer to the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are illustrative and are only for the purpose of explaining the present application and are not to be construed as limiting the present application.
In the description of the present application, where the terms "first", "second" are used for descriptive purposes only, they are not to be construed as indicating or implying relative importance or implying any number of technical features indicated. Thus, features defined as "first", "second", may explicitly or implicitly include one or more of the described features. In the description of the present application, "a plurality" means two or more unless specifically defined otherwise.
In the description of the present application, it should be noted that the terms "mounted," "connected," and "connected" are used in a broad sense and can be either fixedly connected, detachably connected, or integrally connected unless otherwise specified or limited; may be mechanically connected, may be electrically connected or may be in communication with each other; either directly or indirectly through intervening media, either internally or in any other relationship. The specific meaning of the above terms in the present application can be understood by those of ordinary skill in the art as the case may be.
The following disclosure provides many different embodiments or examples for implementing different features of the application. To simplify the disclosure of the present application, specific example components and arrangements are described below. Of course, they are merely examples and are not intended to limit the present application. In addition, the present application may repeat reference numerals and/or letters in the various examples, which have been repeated for purposes of brevity and clarity and do not in themselves dictate a relationship between the various embodiments and/or arrangements discussed.
Reference will now be made in detail to embodiments of the present application, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the accompanying drawings are exemplary only for explaining the present application and are not to be construed as limiting the present application.
Understandably, in the field of aeronautics, too many airplane braking times bring about a cost consumption of class 2: (1) brake loss cost; (2) Excessive braking can cause the airplane to be repeatedly in an acceleration-deceleration-acceleration-deceleration state in the taxiing process, and unnecessary additional fuel consumption is caused. Therefore, in the process of improving the digital operation level of an airline company, the accurate monitoring of the braking times and the accurate accounting of the cost generated by the braking times are the trend of industry development.
In view of the above, please refer to fig. 1, the present application provides a method for calculating the braking frequency of an aircraft in a taxi phase. The calculation method comprises the following steps:
01: confirming whether the preset brake parameters exist in the current flight and whether the preset brake parameters are available;
02: under the condition that the preset brake parameter is available, calculating a brake judgment threshold value of the current flight according to the parameter value of the preset brake parameter;
03: and determining the braking times of the current flight according to the parameter value and the braking judgment threshold value.
Referring to fig. 2, the present application further provides a device 10 for calculating the braking frequency of the airplane in the taxiing stage. The computing device 10 includes a parameter confirmation module 11, a calculation module 12, and a number determination module 13.
Step 11 may be implemented by the parameter confirmation module 11, step 12 may be implemented by the calculation module 12, and step 13 may be implemented by the number determination module 13. That is, the parameter confirmation module 11 is configured to confirm whether the scheduled braking parameter exists for the current flight and whether the scheduled braking parameter is available; the calculating module 12 is configured to calculate a brake judgment threshold value of the current flight according to a parameter value of a predetermined brake parameter when the predetermined brake parameter is available; the number determining module 13 is configured to determine the braking number of the current flight according to the parameter value and the braking judgment threshold.
Specifically, firstly, whether a predetermined braking parameter exists is sequentially judged, and the predetermined braking parameter is used for counting the braking times. If the preset braking parameter exists, whether the preset braking parameter is available is further judged.
And then, under the condition that the preset braking parameter is available, calculating a braking judgment threshold value of the current flight according to the parameter value of the preset braking parameter. The function of calculating the braking judgment threshold value is to consider that the airplane is in a braking state when the preset braking parameter is greater than the braking judgment threshold value. And determining the braking times of the current flight according to the parameter value of the preset braking parameter and the braking judgment threshold value, thereby realizing accurate monitoring of the braking times and further realizing accurate accounting of the cost.
According to the method for calculating the braking times of the airplane in the sliding stage, whether the preset braking parameter exists or not and whether the preset braking parameter is available or not are firstly confirmed, then, under the condition that the preset braking parameter is available, the braking judgment threshold value of the current flight is calculated according to the parameter value of the preset braking parameter, and the braking times of the current flight is determined according to the parameter value and the braking judgment threshold value, so that the braking times can be accurately monitored, and the cost can be accurately calculated.
In some embodiments, the predetermined braking parameters include at least one of a brake pedal travel gear, a brake pedal travel value, and a braking pressure value.
It can be understood that, in the flight parameters recorded by the airplane, no parameter can directly reflect the braking times, and the predetermined braking parameter in the application is a parameter indirectly reflecting the braking times.
Specifically, the 3 predetermined braking parameters are a BRAKE pedal stroke position (BRAKE _ PED), a BRAKE pedal stroke value (BRAKE _ POS), and a BRAKE PRESSURE value (BRAKE _ PRESSURE), respectively. The 3 predetermined braking parameters have left and right 2 values for the left and right landing gear brakes, respectively, on each flight.
It will be appreciated that for an aircraft with a more accurate parameter record, the ideal behavior of the 3 parameters mentioned above would be: (1) when the brake is not stepped on, the value is 0; and (2) when the brake is stepped on, the value is greater than 0.
In fact, however, the following data characteristics are often exhibited for various reasons such as sensor accuracy, equipment aging, model-to-model variation, and the like: 1) When the brake is not stepped on, the value is not 0; 2) That value, when the brake is not applied, may fluctuate over a small range, for example back and forth in the range 0, 1, 2, 3; 3) The numerical magnitude is different between different models. 4) The above-mentioned 3 parameters are not available on every model, and often only 1 or 2 of them. Therefore, the application can use any 1 or 2 predetermined braking parameters in the 3 indirect predetermined braking parameters to count the braking times, or, all the 3 predetermined braking parameters can be used to count the braking times,
referring to fig. 3, in some embodiments, the priority of the pedal stroke position, the brake pedal stroke value and the brake pressure value is gradually decreased, and step 01 includes:
011: and sequentially confirming whether each type of preset braking parameters exists and whether the preset braking parameters of the current type are available according to the priority sequence.
Referring to fig. 2, step 011 can be implemented by the parameter confirmation module 11. That is, the parameter confirming module 11 is configured to sequentially confirm whether each type of predetermined braking parameter exists and whether the current type of predetermined braking parameter is available according to the priority order.
Specifically, the calculation method of the application determines whether each type of predetermined braking parameter exists and whether the current type of predetermined braking parameter is available by performing priority ranking on the predetermined braking parameters, and can select the parameter value of the predetermined braking parameter with higher priority to calculate the braking judgment threshold of the current flight, thereby improving the accuracy of the braking judgment threshold.
Referring to fig. 4, in some embodiments, step 011 includes:
0111: if the existence and the availability of the predetermined braking parameters of the category with higher priority are confirmed, the confirmation of whether the existence and the availability of the predetermined braking parameters of the remaining categories are stopped.
Referring to fig. 2, step 011 can be implemented by the parameter confirmation module 11. That is, the parameter confirmation module 11 is configured to, if it is confirmed that the predetermined braking parameters of the category with higher priority are present and available, stop confirming whether the predetermined braking parameters of the remaining categories are present and available.
It will be appreciated that if a higher priority predetermined braking parameter is present and available, no further determination is made as to whether a lower priority predetermined braking parameter is available.
Specifically, since the priority of the pedal stroke gear, the brake pedal stroke value and the brake pressure value is gradually decreased, if the pedal stroke gear exists and is available, it is not necessary to judge whether the brake pedal stroke value and the brake pressure value exist and are available; if the pedal stroke gear does not exist, whether the brake pedal stroke value exists or not and whether the brake pedal stroke value is available or not need to be judged, and if the brake pedal stroke value does not exist, whether the brake pressure value exists or not and whether the brake pedal stroke value is available or not are judged.
Referring to fig. 5, in some embodiments, the number of each type of predetermined braking parameters includes a plurality, and step 01 further includes:
012: and if the number of the preset brake parameters of the current category after the numerical value deduplication processing is larger than the preset number, determining that the preset brake parameters of the current category are available.
Referring to fig. 2, step 012 can be implemented by parameter confirmation module 11. That is, the parameter confirmation module 11 is configured to confirm that the predetermined braking parameters of the current category are available if the number of the predetermined braking parameters of the current category after the numerical deduplication processing is greater than the predetermined number.
Specifically, when the predetermined number is 5, the flag indicating that the predetermined braking parameter is available may be that the parameter repetition removal value is greater than 5, that is, the number of values of the predetermined braking parameter without the repetition value needs to be greater than 5. Taking a preset brake parameter as a brake pressure value as an example for explanation, a) if the brake pressure value on a certain flight is always 0, the de-weighting value of the parameter is 0 and less than 5, and the brake pressure value at the moment is not available; b) If the brake pressure value on a flight is only two values of 0 and 1, the parameter de-weight value is 2,2 which is less than 5, and the brake pressure value at the moment is not available; c) If the brake pressure value on a flight is recorded as 0, 0.1, 1, 1.56, 2.3, 4.5 and 12.3, the de-weight value of the parameter is more than 5, namely, the brake pressure values have a plurality of different values, and show the change process of the continuous physical quantity, which indicates that the brake pressure value at the moment is available.
Referring to fig. 6, in some embodiments, step 02 includes:
021: counting parameter values of a preset brake parameter in the sliding process, and recording the occurrence frequency of each parameter value;
022: arranging according to the magnitude of the parameter values in ascending order;
023: sequentially counting the accumulated occurrence times of each parameter value or less according to the ascending sequence;
024: calculating the proportion of each accumulated occurrence frequency to the total sampling point number;
025: and determining the parameter value corresponding to the ratio larger than the preset ratio threshold value as the brake judgment threshold value of the current flight.
Referring to fig. 7, the calculating module 12 includes a first statistical unit 121, a sorting unit 122, a second statistical unit 123, a calculating unit 124 and a threshold confirming unit 125.
Step 021 may be implemented by the first statistical unit 121, step 022 may be implemented by the ranking unit 122, step 023 may be implemented by the second statistical unit 123, step 024 may be implemented by the calculation unit 124, and step 025 may be implemented by the threshold validation unit 125. That is, the first statistical unit 121 is configured to count parameter values of a predetermined braking parameter during a sliding process, and record the occurrence number of each parameter value; the sorting unit 122 is configured to sort in ascending order according to the size of the parameter value; the second counting unit 123 is configured to count the cumulative occurrence number of each parameter value or less in sequence according to the ascending order; the calculating unit 124 is used for calculating the proportion of each accumulated occurrence frequency to the total sampling point number; the threshold confirming unit 125 is configured to confirm the parameter value corresponding to the ratio greater than the predetermined ratio threshold as the brake determination threshold of the current flight.
Specifically, the process of calculating the braking determination threshold value is described as follows:
firstly, counting parameter values of preset brake parameters appearing in the whole sliding process, recording the occurrence frequency of each value, and arranging according to the ascending order of the parameter values. The following is data for one real example flight: a) 0, 411 occurrences; b) 6, 2 occurrences; c) 8, 2 occurrences; d) 12, 9 occurrences; e) … …. The predetermined braking parameter in this example may be any 1 of the 3 parameters described above.
Then, the number of occurrences of each of the parameter values smaller than or equal to each of the parameter values is cumulatively counted. Continuing with the above example: a) 0, totalizing 411 times; b) 6, the cumulative number of occurrences of less than or equal to 6 is: 411+2=413 times; c) And 8, the cumulative occurrence number less than or equal to 8 is: 413+2=415 times; d) 12, the cumulative number of occurrences of less than or equal to 12 is: accumulated 415+9=424 times; e) … ….
Then, the ratio of the accumulated occurrence number to the total sampling point number is calculated. Continuing with the above example: a) 0, 411/565=72.74%; b) 6, 413/565=73.10%; c) 8, 415/565=73.45%; d) 12, 424/565=75.04%; e) … …. Where the total number of samples is 565.
Finally, the predetermined proportion threshold may be 50%, and the parameter value whose cumulative occurrence number accounts for more than 50% of the first time is taken as the brake judgment threshold. Wherein the predetermined proportion threshold 50% is an empirical reference value subject to big data trials. From the above calculation results, it is understood that the braking determination threshold value is 0 in the above example of the present application.
Referring to fig. 8, in some embodiments, step 03 includes:
031: and if the parameter values of the continuous preset number are larger than the brake judgment threshold value, confirming that the current flight is in a brake state.
Referring to fig. 2, step 031 may be implemented by the number determining module 13. That is, the number determining module 13 is configured to determine that the current flight is in a braking state if the consecutive predetermined number of parameter values are greater than the braking determination threshold.
It can be understood that, the method for calculating the braking judgment threshold value in the present application considers the premise that: in the sliding process, the brake is not stepped on in most states, and the airplane is in the brake stepping state only in a few time ranges, so that the airplane is considered to be in the brake state when the parameter value of the preset brake parameter is larger than the brake judgment threshold value.
Specifically, taking the flight shown in fig. 9 as an example (i.e. the current flight in step 02), the predetermined number may be 3, for example, and the parameter value of the BRAKE pedal travel position (BRAKE _ PED) at more than 3 consecutive sampling points is greater than the BRAKE judgment threshold value, and is recorded as a BRAKE. If the braking determination threshold value in fig. 9 is 0, the number of times that the parameter value of the BRAKE pedal stroke position (BRAKE _ PED) at 3 or more consecutive sampling points is greater than the braking determination threshold value 0 is 10, and thus, the total number of times of braking can be obtained as 10 times. It will be understood that the ordinate in fig. 9 represents the value of the parameter for the brake pedal travel position and the abscissa in fig. 9 represents the sample points for the current flight run.
Referring to fig. 10, the present application further provides an electronic device 100. The electronic device 100 comprises a processor 110 and a memory 120, the memory 120 is used for storing a computer program 121, and the processor 110 implements the computing method according to any of the above embodiments when executing the computer program 121. The electronic device 100 of the present application may be a mobile phone, a bracelet, or a computer, etc. having statistical and computing functions.
The electronic device 100 of the application can firstly determine whether the preset brake parameter exists and whether the preset brake parameter is available, then calculate the brake judgment threshold value of the current flight according to the parameter value of the preset brake parameter under the condition that the preset brake parameter is available, and determine the brake times of the current flight according to the parameter value and the brake judgment threshold value, so that the brake times can be accurately monitored, and the cost can be accurately calculated.
Referring to fig. 11, the present application further provides a readable storage medium 200, where the readable storage medium 200 includes a computer program 210 and a processor 220. The computer program 210, when executed by the one or more processors 220, implements the computing method of any of the embodiments described above.
The computer-readable storage medium 200 of the present application may first determine whether the predetermined braking parameter exists and whether the predetermined braking parameter is available, then calculate a braking judgment threshold value of the current flight according to a parameter value of the predetermined braking parameter in a case that the predetermined braking parameter is available, and determine the braking frequency of the current flight according to the parameter value and the braking judgment threshold value, so as to implement accurate monitoring of the braking frequency and accurate accounting of the cost.
The above examples only express several embodiments of the present application, and the description thereof is more specific and detailed, but not to be construed as limiting the scope of the present application. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.

Claims (6)

1. A method for calculating the braking times of an airplane in a taxi stage is characterized by comprising the following steps:
confirming whether a preset brake parameter exists on the current flight and whether the preset brake parameter is available or not;
under the condition that the preset brake parameter is available, calculating a brake judgment threshold value of the current flight according to the parameter value of the preset brake parameter;
determining the braking times of the current flight according to the parameter value and the braking judgment threshold value;
the preset brake parameters comprise at least one of a brake pedal stroke gear, a brake pedal stroke value and a brake pressure value;
the priority of the pedal travel gear, the brake pedal travel value and the brake pressure value is gradually decreased, and the step of determining whether the preset brake parameter exists in the current flight and whether the preset brake parameter is available comprises the following steps:
sequentially confirming whether each type of preset brake parameters exist and whether the preset brake parameters of the current type are available according to the priority sequence;
the sequentially confirming whether each type of preset brake parameter exists and whether the preset brake parameter of the current type is available according to the priority sequence comprises the following steps:
if the preset brake parameters of the category with higher priority are determined to exist and be available, stopping determining whether the preset brake parameters of the remaining categories exist and are available;
the number of the predetermined braking parameters in each type comprises a plurality of types, and the confirming whether the predetermined braking parameters exist in the current flight and whether the predetermined braking parameters are available comprises the following steps:
and if the number of the preset brake parameters of the current category after the numerical deduplication is larger than the preset number, determining that the preset brake parameters of the current category are available.
2. The method of claim 1, wherein the calculating the brake decision threshold of the current flight according to the parameter value of the predetermined brake parameter when the predetermined brake parameter is available comprises:
counting parameter values of a preset brake parameter in the sliding process, and recording the occurrence frequency of each parameter value;
arranging according to the magnitude of the parameter values in ascending order;
sequentially counting the accumulated occurrence times of each parameter value or less according to the ascending sequence;
calculating the proportion of each accumulated occurrence frequency to the total sampling point number;
and confirming the parameter value corresponding to the ratio larger than the preset ratio threshold value as the brake judgment threshold value of the current flight.
3. The calculation method according to claim 1 or 2, wherein the determining the number of times of braking of the current flight according to the parameter value and the braking judgment threshold value comprises:
and if the parameter values of the continuous preset number are larger than the brake judgment threshold value, confirming that the current flight is in a brake state.
4. A device for calculating the braking frequency of an airplane in a taxi phase, wherein the device is used for implementing the calculation method of any one of claims 1 to 3, and the device comprises:
the parameter confirmation module is used for confirming whether the preset brake parameters exist in the current flight or not and whether the preset brake parameters are available or not;
the calculating module is used for calculating a brake judgment threshold value of the current flight according to the parameter value of the preset brake parameter under the condition that the preset brake parameter is available, wherein the preset brake parameter comprises at least one of a brake pedal stroke position, a brake pedal stroke value and a brake pressure value;
and the frequency determining module is used for determining the braking frequency of the current flight according to the parameter value and the braking judgment threshold value.
5. An electronic device, characterized in that the electronic device comprises a processor and a memory for storing a computer program, the processor realizing the computing method of any one of claims 1 to 3 when executing the computer program.
6. A non-transitory computer-readable storage medium containing a computer program, wherein the computer program, when executed by one or more processors, implements the computing method of any one of claims 1 to 3.
CN202111314458.0A 2021-11-08 2021-11-08 Computing method and device, electronic equipment and computer readable storage medium Active CN114241815B (en)

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Citations (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
SE0402055D0 (en) * 2004-08-20 2004-08-20 Scania Cv Abp Filtered brake pedal signal
WO2010057358A1 (en) * 2008-11-24 2010-05-27 Wang Youfu Method for vehicle manual control accelerator without an accelerator pedal and system thereof
CN106696941A (en) * 2015-09-08 2017-05-24 北汽福田汽车股份有限公司 Brake pad loss diagnosis method and diagnosis system
CN106828503A (en) * 2017-02-15 2017-06-13 武汉理工大学 A kind of operator brake behavior and state real-time identification method
CN107298101A (en) * 2016-04-15 2017-10-27 福特全球技术公司 Power drive system operation based on brake fade and stopping power
US10040459B1 (en) * 2015-09-11 2018-08-07 Lytx, Inc. Driver fuel score
CN110503349A (en) * 2019-09-10 2019-11-26 深圳市瑞达飞行科技有限公司 Processing method, processing unit and the electronic equipment of flight fuel consumption data
RU2730731C1 (en) * 2019-09-20 2020-08-25 Акционерное общество "Объединенная двигателестроительная корпорация" (АО "ОДК") Control method of gas turbine engine reversing device during aircraft landing and interrupted takeoff
CN112906304A (en) * 2021-03-10 2021-06-04 北京航空航天大学 Brake control method and device
CN112948963A (en) * 2021-02-01 2021-06-11 北京航空航天大学 Method and device for observing and identifying airplane brake interference factors
CN113238483A (en) * 2021-04-16 2021-08-10 北京航空航天大学 Aircraft brake control method, aircraft brake control equipment and aircraft brake control memory
CN113353247A (en) * 2021-07-05 2021-09-07 中国商用飞机有限责任公司 Airplane anti-skid brake control method and system based on image recognition technology
WO2021213253A1 (en) * 2020-04-21 2021-10-28 乾碳国际公司 Ace heavy truck fuel-saving robot system

Family Cites Families (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR101826537B1 (en) * 2012-06-05 2018-03-22 현대자동차 주식회사 Motor torque control system for green car and method thereof
WO2016173648A1 (en) * 2015-04-29 2016-11-03 Hewlett-Packard Development Company, L.P. Deduplication process
CN108665300A (en) * 2017-04-01 2018-10-16 北京京东尚科信息技术有限公司 A kind of method, apparatus, equipment and storage medium that data are provided
CN111198859B (en) * 2018-11-16 2023-11-03 北京微播视界科技有限公司 Data processing method, device, electronic equipment and computer readable storage medium

Patent Citations (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
SE0402055D0 (en) * 2004-08-20 2004-08-20 Scania Cv Abp Filtered brake pedal signal
WO2010057358A1 (en) * 2008-11-24 2010-05-27 Wang Youfu Method for vehicle manual control accelerator without an accelerator pedal and system thereof
CN106696941A (en) * 2015-09-08 2017-05-24 北汽福田汽车股份有限公司 Brake pad loss diagnosis method and diagnosis system
US10040459B1 (en) * 2015-09-11 2018-08-07 Lytx, Inc. Driver fuel score
CN107298101A (en) * 2016-04-15 2017-10-27 福特全球技术公司 Power drive system operation based on brake fade and stopping power
CN106828503A (en) * 2017-02-15 2017-06-13 武汉理工大学 A kind of operator brake behavior and state real-time identification method
CN110503349A (en) * 2019-09-10 2019-11-26 深圳市瑞达飞行科技有限公司 Processing method, processing unit and the electronic equipment of flight fuel consumption data
RU2730731C1 (en) * 2019-09-20 2020-08-25 Акционерное общество "Объединенная двигателестроительная корпорация" (АО "ОДК") Control method of gas turbine engine reversing device during aircraft landing and interrupted takeoff
WO2021213253A1 (en) * 2020-04-21 2021-10-28 乾碳国际公司 Ace heavy truck fuel-saving robot system
CN112948963A (en) * 2021-02-01 2021-06-11 北京航空航天大学 Method and device for observing and identifying airplane brake interference factors
CN112906304A (en) * 2021-03-10 2021-06-04 北京航空航天大学 Brake control method and device
CN113238483A (en) * 2021-04-16 2021-08-10 北京航空航天大学 Aircraft brake control method, aircraft brake control equipment and aircraft brake control memory
CN113353247A (en) * 2021-07-05 2021-09-07 中国商用飞机有限责任公司 Airplane anti-skid brake control method and system based on image recognition technology

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
电动汽车制动真空助力系统真空度值可信度故障检测方法研究;祝浩;《汽车科技》;20200813;全文 *

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