CN114548713A - Training result intelligent management method, system and storage medium - Google Patents
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Abstract
The invention relates to a training result intelligent management method, a training result intelligent management system and a storage medium, which belong to the field of flight training, wherein the method comprises the following steps: acquiring training basic information, wherein the training basic information comprises the current student number; after single training data corresponding to the current student number are obtained, processing the single training data based on a preset scoring model, and obtaining a single score corresponding to the current student number; updating the comprehensive total score corresponding to the current student number based on the single score; identifying the training duration corresponding to the single training data, and updating the total training duration corresponding to the current student number; and updating the training level grade corresponding to the current student number after the comprehensive total score and the training total duration corresponding to the current student number meet corresponding preset upgrading conditions. The invention has the effect of reflecting the training level of the trainees conveniently.
Description
Technical Field
The invention relates to the technical field of flight training, in particular to a training result intelligent management method, a training result intelligent management system and a storage medium.
Background
When flight skill training is carried out on the aircraft driving trainees, training machines such as small helicopters are often used, and the operation level of the aircraft driving trainees is evaluated in a mode that trainees observe and score the training machines.
The above-described related art has the following drawbacks: the manual evaluation method is relatively subjective and low in efficiency, and meanwhile, due to the fact that learning progress of different students is different, the operation level of the students is difficult to reflect conveniently by adopting a mode of manually counting training results.
Disclosure of Invention
In order to reflect the training level of the trainees, the application provides a training result intelligent management method, a training result intelligent management system and a storage medium.
In a first aspect, the present application provides a training result intelligent management method, which adopts the following technical scheme:
a training result intelligent management method comprises the following steps:
acquiring training basic information, wherein the training basic information comprises a current student number;
after single training data corresponding to the current student number are obtained, processing the single training data based on a preset scoring model, and obtaining a single score corresponding to the current student number;
updating the comprehensive total score corresponding to the current student number based on the single score;
identifying the training duration corresponding to the single training data, and updating the total training duration corresponding to the current student number;
and updating the training level grade corresponding to the current student number after the comprehensive total score and the total training duration corresponding to the current student number meet corresponding preset upgrading conditions.
By adopting the technical scheme, after each training is finished, the platform server can utilize the preset scoring model to process the acquired single training data so as to obtain the single scoring corresponding to the trainee, then the platform server can update the comprehensive total score and the total training duration of the trainee, and confirm the training level grade corresponding to the current trainee number based on the updating result and the preset upgrading condition, so that the training level of the trainee is reflected through the training level grade. By confirming the training level grade of the trainee after each training, the effect of reflecting the training level of the trainee is realized.
Optionally, the method specifically includes:
after receiving a training start signal sent by a target training machine, recording a first time node and starting to receive real-time training parameters fed back by the target training machine, wherein the real-time training parameters comprise a real-time position, a real-time posture and a real-time speed of the target training machine;
after receiving a training end signal, recording a second time node and stopping obtaining real-time training parameters of the target training machine;
processing to obtain single training data based on all the obtained real-time training parameters;
and calculating the difference value between the second time node and the first time node to obtain the training duration corresponding to the single training data.
By adopting the technical scheme, the target training machine acquires the real-time training parameters of the target training machine in real time and sends the real-time training parameters to the platform server in the training process, and after the training is finished, the platform server processes the acquired real-time training parameters, so that the acquisition of single training data is realized.
Optionally, the training basic information further includes a training type, where the training type includes a teaching training and a single flight training, and the updating of the comprehensive total score corresponding to the current student number based on the single score specifically includes:
selecting corresponding preset type weight based on the training type;
based on the selected type weight, carrying out weighting processing on the single score, and obtaining a single comprehensive score corresponding to the current student number;
and updating the comprehensive total score corresponding to the current student number based on the single comprehensive score.
Optionally, the type weight corresponding to the single training is greater than the type weight corresponding to the teaching training.
By adopting the technical scheme, the single person training has higher type weight than the training with the teaching, and accords with the training rule.
Optionally, the updating the comprehensive total score corresponding to the current student number based on the single comprehensive score specifically includes:
comparing the single comprehensive score with a preset qualified threshold, and canceling the updating of the comprehensive total score when the single comprehensive score is less than or equal to the preset qualified threshold;
and when the single comprehensive score is larger than a preset qualified threshold value, updating the comprehensive total score corresponding to the current student number.
By adopting the technical scheme, the platform server can automatically reject the single comprehensive score with the result of being unqualified, and the reliability and authority of the comprehensive total score can be improved.
Optionally, the total training duration includes total length of time to be taught and total length of time to fly, the identification is performed on the training duration corresponding to the training data of a single time, and the total training duration corresponding to the current student number is updated, which specifically includes:
identifying a training type corresponding to the single training data;
if the training type is with teaching training, updating the total length of time with teaching based on the training length;
and if the training type is single-flight training, updating the total single-flight time length based on the training time length.
Optionally, the training level classes include no single flight, single flight permission and examination permission, and after the total score and the total training duration corresponding to the current student number satisfy corresponding preset upgrade conditions, the training level class corresponding to the current student number is updated, which specifically includes:
when the comprehensive total score corresponding to the current student number is larger than a preset first threshold value and the corresponding total length of time to be taught is larger than a preset threshold value of the length of time to be taught, updating the training level grade corresponding to the current student number to be allowed to fly singly;
and updating the training level grade corresponding to the current student number into an allowable examination when the comprehensive total score corresponding to the current student number is greater than a preset second threshold value and the corresponding single flight total time length is greater than a preset single flight time length threshold value.
In a second aspect, the present application provides an intelligent management system for training results, which adopts the following technical scheme:
the utility model provides a training result intelligent management system, includes platform server, is used for the communication basic station of transmission signal and sets up the airborne terminal on the training machine, and wherein, platform server includes:
the signal receiving module is used for acquiring training basic information;
the data processing module is used for processing the single training data based on a preset scoring model after the single training data corresponding to the current student number is obtained, and obtaining a single score corresponding to the current student number;
the data updating module is used for updating the comprehensive total score corresponding to the current student number based on the single score, identifying the training duration corresponding to the single training data and updating the training total duration corresponding to the current student number;
and the training level grade updating module is used for updating the training level grade corresponding to the current student number after the comprehensive total score and the training total duration corresponding to the current student number meet corresponding preset upgrading conditions.
In a third aspect, the present application provides an intelligent terminal, which adopts the following technical scheme:
an intelligent terminal comprising a memory and a processor, said memory having stored thereon a computer program that can be loaded by the processor and that performs the processing performed by the platform server in the method according to the first aspect.
In a fourth aspect, the present application provides a computer-readable storage medium, which adopts the following technical solutions:
a computer-readable storage medium comprising a computer program stored thereon which can be loaded by a processor and which performs the processing performed by the platform server in the method according to the first aspect.
In summary, the present application includes at least one of the following beneficial technical effects:
after each training, the platform server processes the acquired single training data by using a preset scoring model so as to obtain a single score corresponding to the student, then, the platform server updates the comprehensive total score and the total training duration of the student, confirms the training level grade corresponding to the current student number based on the updating result and the preset upgrading condition, and reflects the training level of the student through the training level grade;
by setting different type weights for different training types, the reliability of the single comprehensive score and the comprehensive total score is improved.
Drawings
Fig. 1 is a system block diagram of an intelligent management system for embodying training results in the embodiment of the present application.
Fig. 2 is a schematic flowchart of an intelligent management method for embodying training results in an embodiment of the present application.
Fig. 3 is a block diagram of a system for embodying a platform server in an embodiment of the present application.
Description of reference numerals: 301. a signal receiving module; 302. a data processing module; 303. a data update module; 304. and a training level grade updating module.
Detailed Description
The present application is described in further detail below with reference to figures 1-3.
The embodiment of the application discloses an intelligent management method for training results, which can be applied to an intelligent management system for training results, and an execution subject is a platform server in the system. Referring to fig. 1, the training result intelligent management system includes a platform server disposed in a ground command center, a communication base station for transmitting signals, and an onboard terminal configured on a training machine, wherein the training machine may be a small helicopter. Airborne terminal can be through sticky mode fixed connection in the belly of training machine, can avoid trompil on the training machine to lead to violating the rules and regulations on the one hand, and on the other hand is convenient for communicate. The airborne terminal comprises a communication module, the communication direction faces the ground, and the airborne terminal is used for being matched with a communication base station arranged on the ground to achieve communication between the training machine and the ground platform server.
The process flow shown in fig. 2 will be described in detail below with reference to the specific embodiments, and the contents may be as follows:
s201: and acquiring training basic information, wherein the training basic information comprises the current student number.
In practice, the trainee or trainer can enter training basic information into the platform server before each training, wherein the training basic information comprises the current trainee number. The current student number refers to the student number of the student who is going to train. In addition, the training basic information also comprises the current training machine number of the training machine to be used by the student, so that the platform server can conveniently establish the corresponding relation between the current student number and the data obtained from the onboard terminal.
S202: after single training data corresponding to the current student number are obtained, the single training data are processed based on a preset scoring model, and a single score corresponding to the current student number is obtained.
In practice, each time a training is completed, the platform server will get a single training data corresponding to the current student number. And then, the platform server processes the single training data according to a preset scoring model. It should be noted that, because the training content of each training may be different, the coach may input training standard data into the scoring model through the platform server in advance according to the specific content of the training, so as to be called by the scoring model. The specific processing rule may be: the scoring model generates a standard flight trajectory curve based on the training standard data and generates an actual flight trajectory curve based on the single training data. And then, the platform server compares the actual flight trajectory curve with the standard flight trajectory curve, and the higher the fitting degree of the actual flight trajectory curve and the standard flight trajectory curve is, the higher the single score of the single training data corresponding to the actual flight trajectory curve is. The platform server processes the single training data by using the scoring model and obtains a single score corresponding to the current student number, so that the finishing effect of the training can be reflected.
S203: and updating the comprehensive total score corresponding to the current student number based on the single score.
In an implementation, after calculating the single score, the platform server further updates the total score corresponding to the current student number based on the single score, and generally speaking, the higher the total score, the higher the level representing the student corresponding to the current student number.
S204: and identifying the training duration corresponding to the single training data, and updating the total training duration corresponding to the current student number.
In implementation, the platform server further identifies the training duration corresponding to the single training data, so as to update the total training duration corresponding to the current student number.
S205: and updating the training level grade corresponding to the current student number after the comprehensive total score and the training total duration corresponding to the current student number meet corresponding preset upgrading conditions.
Wherein each training level grade corresponds to an upgrade condition.
In implementation, after the platform server completes updating of the total comprehensive score and the total training duration corresponding to the current student number, the platform server compares the new total comprehensive score and the total training duration with a preset upgrading condition, and after the total comprehensive score and the total training duration corresponding to the current student number meet a certain upgrading condition, the platform server updates the training level grade of the current student number to the training level grade corresponding to the upgrading condition.
Optionally, in another embodiment, after the platform server completes updating the total score and the total training duration corresponding to the current student number, the platform server further generates a training result report carrying the updated total score and the updated total training duration, and meanwhile, the training result report may further include a point of deduction of the current training. And then, the platform server feeds the generated training result report back to the student corresponding to the current student number, so that the student can be helped to improve the self level in a targeted manner.
Optionally, in another embodiment, the acquisition process of the single training data may specifically be as follows:
and after receiving a training start signal sent by the target training machine, recording a first time node and starting to receive real-time training parameters fed back by the target training machine.
The target training machine is the training machine used by the trainee corresponding to the current trainee number, namely the training machine corresponding to the current training machine number. The real-time training parameters may include a real-time position, a real-time pose, and a real-time velocity of the target exercise machine. The RTK module is preset in the airborne terminal and can be used for positioning the real-time longitude and latitude and the real-time altitude of the target training machine in real time, so that the real-time position of the target training machine is obtained. The airborne terminal further comprises a gyroscope and an inertial element, wherein the gyroscope is used for acquiring the real-time posture of the target training machine, and the inertial element is used for acquiring the real-time speed of the target training machine.
In implementation, when training is started, a trainee can send a training starting signal to the platform server through the onboard terminal, or the onboard terminal on the target training machine can automatically send the training starting signal after recognizing that the speed of the target training machine is greater than 0. The training start signal carries the current training machine number, the platform server records the current first time node after receiving the training start signal, and can start to receive the real-time training parameters sent by the target training machine based on the current training machine number.
And after receiving a training end signal which is sent by the target training machine and carries the current training machine number, recording a second time node and stopping acquiring the real-time training parameters of the target training machine.
In practice, the trainee may send a training end signal to the platform server through the onboard terminal. And after receiving the training end signal, the platform server records the current second time node and stops acquiring the real-time training parameters of the target training machine.
Processing to obtain single training data based on all the obtained real-time training parameters;
in implementation, after receiving the training end signal, the platform server may process all real-time training parameters acquired from the target training machine, so as to obtain single training data corresponding to the training. The single training data may include a flight trajectory, an attitude change condition, and a speed change condition of the target training machine.
And calculating the difference value between the second time node and the first time node to obtain the training duration corresponding to the single training data.
In implementation, the platform server further calculates a difference between the second time node and the first time node, so as to obtain a training duration corresponding to the single training data.
Optionally, in another embodiment, the training basic information further includes training types, and the training types include a belt training mode in which a trainer accompanies a trainee to operate the training machine together, and a single flight training mode in which a trainee drives the training machine by a single person. In this case, in order to enable the score to better reflect the real level of the trainee, the above S203 may specifically include the following:
and selecting corresponding preset type weight based on the training type.
In implementation, the platform server prestores a type weight corresponding to each training type, where the type weight may be a specific positive value, such as 0.8, 1.0, or 1.2. Wherein, because the degree of difficulty of single training is higher, consequently more can reflect student's driving level, consequently, the type weight that single training corresponds is greater than the type weight that the training of taking the religion corresponds. After the single score corresponding to the training is calculated and obtained by the platform server, the training type carried in the training basic information can be identified, and therefore the corresponding type weight is selected.
And carrying out weighting processing on the single scores based on the selected type weights, and obtaining a single comprehensive score corresponding to the current student number.
In implementation, the platform server multiplies the single score corresponding to the current student number by the picked type weight to obtain a single composite score corresponding to the current student number.
And updating the comprehensive total score corresponding to the current student number based on the single comprehensive score.
In implementation, after the platform server calculates the single comprehensive score corresponding to the current student number, the platform server accumulates the single comprehensive score into the comprehensive total score corresponding to the current student number, thereby updating the comprehensive total score.
Optionally, in another embodiment, the updating the total score corresponding to the current student number based on the single comprehensive score may specifically include the following:
and comparing the single comprehensive score with a preset qualified threshold, and canceling the updating of the comprehensive total score when the single comprehensive score is less than or equal to the preset qualified threshold.
Wherein, the qualified threshold value can be preset by a coach, and when the single comprehensive score of a certain training is lower than the qualified threshold value, the training result of the training is not up to standard.
In implementation, after the platform server calculates the single comprehensive score, the calculated single comprehensive score is compared with a preset qualified threshold, and when the single comprehensive score is smaller than or equal to the preset qualified threshold, the platform server cancels the updating of the comprehensive score corresponding to the current student number, so that the possibility that students with insufficient levels swipe the score depending on training times is reduced.
And when the single comprehensive score is larger than a preset qualified threshold value, updating the comprehensive total score corresponding to the current student number.
Further, in another embodiment, since the training types include a teaching with training and a single flight training, in order to further distinguish the total training duration, the total training duration may include a total length of a taught with training and a total length of a single flight, at this time, the identifying of the training duration corresponding to the single training data and the updating of the total training duration corresponding to the current student number specifically include:
and identifying the training type corresponding to the single training data.
In implementation, after the training duration is obtained through calculation, the platform server identifies the training type carried in the training basic information of the training, so as to obtain the training type corresponding to the single training data of the training.
If the training type is with teaching training, updating the total time length with teaching based on the training time length; and if the training type is single-flight training, updating the total single-flight time length based on the training time length.
In the implementation, when the identification result is the training with teaching, the platform server accumulates the training time length of the training to the total length of the time to be taught corresponding to the current student number, so as to complete the updating of the total length of the time to be taught; and when the identification result is the single-flight training, the platform server accumulates the training time length of the training to the single-flight total time length corresponding to the current student number, so that the updating of the single-flight total time length is completed.
Further, in another embodiment, the training level levels may include three levels of no fly, no fly and test, wherein when the training level of a trainee is no fly, the trainee is only allowed to train under the teaching of the trainer; when the training level grade of a trainee is single-flight-allowed, the training level of the trainee is represented to be enough to support the trainee to carry out single-flight training; when a trainee's training level is at a level that permits examination, it represents that the trainee has available to take a licensed examination. The initial training level rating for each trainee was no single flight. In this case, the S205 may specifically include the following:
and when the comprehensive total score corresponding to the current student number is greater than a preset first threshold value and the corresponding total length of time to be taught is greater than a preset threshold value of the length of time to be taught, updating the training level grade corresponding to the current student number into a single flight permission grade.
In implementation, the upgrade condition corresponding to the training level of allowing single flight may be: the total length of time to be taught is greater than the preset threshold value of the length of time to be taught, and meanwhile, the comprehensive total score is greater than the preset first threshold value. After the in-band teaching is finished, the platform server can compare the updated comprehensive total score and the updated in-band teaching total time with a first threshold and an in-band teaching time threshold respectively, and when the comprehensive total score corresponding to the current student number and the updated in-band teaching total time meet the upgrading condition corresponding to the training level grade of allowing single flight, the platform server can update the training level grade corresponding to the current student number to allow single flight.
And updating the training level grade corresponding to the current student number into an allowable examination when the comprehensive total score corresponding to the current student number is greater than a preset second threshold value and the corresponding single flight total time length is greater than a preset single flight time length threshold value.
In implementation, the upgrade condition corresponding to the training level of the allowed test may be: the total single-flight time length is greater than a preset single-flight time length threshold value, and meanwhile, the comprehensive total score is greater than a preset second threshold value. Wherein the second threshold is greater than the first threshold. After the single flight training is completed, the platform server compares the updated comprehensive total score and the updated single flight total duration with a second threshold and a single flight duration threshold respectively, and when the comprehensive total score and the single flight total duration corresponding to the current student number are identified to meet the upgrading condition corresponding to the training level grade of the examination permission, the platform server updates the training level grade corresponding to the current student number into the examination permission.
The implementation principle of the embodiment of the application is as follows: after each training, the platform server can utilize a preset scoring model to process the acquired single training data so as to obtain a single score corresponding to the student, then the platform server can update the comprehensive total score and the total training duration of the student, and confirms the training level grade corresponding to the current student number based on the updating result and the preset upgrading condition, so that the training level of the student is reflected through the training level grade.
Based on the method, the embodiment of the application further discloses a training result intelligent management system, and referring to fig. 1 and fig. 3, the training result intelligent management system comprises a platform server, a communication base station for transmitting signals, and an airborne terminal arranged on a training machine. Wherein, the platform server includes:
a signal receiving module 301, configured to obtain training basic information;
the data processing module 302 is configured to, after single training data corresponding to the current student number is obtained, process the single training data based on a preset scoring model, and obtain a single score corresponding to the current student number;
a data updating module 303, configured to update a total score corresponding to the current student number based on the single score, identify a training duration corresponding to the single training data, and update the training duration corresponding to the current student number;
and the training level grade updating module 304 is configured to update the training level grade corresponding to the current student number after the total score and the total training duration corresponding to the current student number meet the corresponding preset upgrade condition.
Optionally, after obtaining the training basic information, the signal receiving module 301 is further configured to start receiving the real-time training parameters fed back by the target training machine after receiving a training start signal sent by the target training machine, and stop obtaining the real-time training parameters of the target training machine after receiving a training end signal.
The platform server further comprises a timing module, wherein the timing module is used for recording a first time node after receiving a training start signal sent by the target training machine, and is also used for recording a second time node after receiving a training end signal.
The data processing module 302 is further configured to process the acquired real-time training parameters to obtain single training data; and calculating the difference value between the second time node and the first time node to obtain the training duration corresponding to the single training data.
Optionally, the data processing module 302 is specifically configured to select a corresponding preset type weight based on the training type; and the system is also used for carrying out weighting processing on the single scores based on the selected type weights and obtaining a single comprehensive score corresponding to the current student number.
The data updating module 303 is specifically configured to update the total score corresponding to the current student number based on the single comprehensive score.
Optionally, the data processing module 302 is specifically configured to compare the single composite score with a preset qualified threshold.
The data updating module 303 is specifically configured to update the total composite score corresponding to the current student number when the single composite score is greater than a preset qualified threshold.
Optionally, the platform server further includes a type identification module, configured to identify a training type corresponding to the single training data.
The data updating module 303 is specifically configured to update the total length of time to be taught based on the training duration when the training type is the training with teaching, and is further configured to update the total length of time to be taught based on the training duration when the training type is the training with single flight.
Optionally, the training level grade updating module 304 is specifically configured to update the training level grade corresponding to the current student number to be allowed for single flight when the total comprehensive score corresponding to the current student number is greater than a preset first threshold and the corresponding total length of time to be taught is greater than a preset length of time to be taught threshold; and updating the training level grade corresponding to the current student number into an allowable examination when the comprehensive total score corresponding to the current student number is greater than a preset second threshold value and the corresponding single flight total time length is greater than a preset single flight time length threshold value.
The embodiment of the application also discloses an intelligent terminal, which comprises a memory and a processor, wherein the memory is stored with a computer program which can be loaded by the processor and can execute the intelligent management method for the training result.
The embodiment of the present application further discloses a computer-readable storage medium, which stores a computer program that can be loaded by a processor and execute the above training result intelligent management method, and the computer-readable storage medium includes, for example: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
The above examples are only used to illustrate the technical solutions of the present application, and do not limit the scope of protection of the application. It is to be understood that the embodiments described are only some of the embodiments of the present application and not all of them. All other embodiments, which can be derived by a person skilled in the art from these embodiments without making any inventive step, are within the scope of the present application.
Claims (10)
1. A training result intelligent management method is characterized by comprising the following steps:
acquiring training basic information, wherein the training basic information comprises a current student number;
after single training data corresponding to the current student number are obtained, processing the single training data based on a preset scoring model, and obtaining a single score corresponding to the current student number;
updating the comprehensive total score corresponding to the current student number based on the single score;
identifying the training duration corresponding to the single training data, and updating the total training duration corresponding to the current student number;
and updating the training level grade corresponding to the current student number after the comprehensive total score and the training total duration corresponding to the current student number meet corresponding preset upgrading conditions.
2. The intelligent management method for training results according to claim 1, wherein the method specifically comprises:
after receiving a training start signal sent by a target training machine, recording a first time node and starting to receive real-time training parameters fed back by the target training machine, wherein the real-time training parameters comprise a real-time position, a real-time posture and a real-time speed of the target training machine;
after receiving a training end signal, recording a second time node and stopping obtaining real-time training parameters of the target training machine;
processing to obtain single training data based on all the obtained real-time training parameters;
and calculating the difference value between the second time node and the first time node to obtain the training duration corresponding to the single training data.
3. The intelligent management method for training results according to claim 1, wherein: the training basic information further includes a training type, the training type is teaching training or single flight training, and the updating of the comprehensive total score corresponding to the current student number based on the single score specifically includes:
selecting corresponding preset type weight based on the training type;
based on the selected type weight, carrying out weighting processing on the single score to obtain a single comprehensive score corresponding to the current student number;
and updating the comprehensive total score corresponding to the current student number based on the single comprehensive score.
4. The intelligent management method for training results according to claim 3, wherein: the type weight corresponding to the single training is larger than the type weight corresponding to the teaching training.
5. The intelligent management method for training results according to claim 3, wherein: the updating the comprehensive total score corresponding to the current student number based on the single comprehensive score specifically includes:
comparing the single comprehensive score with a preset qualified threshold, and canceling the updating of the comprehensive total score when the single comprehensive score is less than or equal to the preset qualified threshold;
and when the single comprehensive score is larger than a preset qualified threshold value, updating the comprehensive total score corresponding to the current student number.
6. The intelligent training result management method according to claim 3, wherein the total training duration includes a total length of time to be taught and a total length of time to fly, the identifying of the training duration corresponding to the single training data and the updating of the total training duration corresponding to the current student number specifically include:
identifying a training type corresponding to the single training data;
if the training type is with teaching training, updating the total length of time with teaching based on the training length;
and if the training type is single-flight training, updating the total single-flight time length based on the training time length.
7. The intelligent management method for training results according to claim 6, wherein the training level classes include no single flight, single flight permission and examination permission, and the updating of the training level class corresponding to the current student number after the total score and the total training duration corresponding to the current student number satisfy the corresponding preset upgrade condition specifically includes:
when the comprehensive total score corresponding to the current student number is larger than a preset first threshold value and the corresponding total length of time to be taught is larger than a preset threshold value of the length of time to be taught, updating the training level grade corresponding to the current student number to be allowed to fly singly;
and updating the training level grade corresponding to the current student number into an allowable examination when the comprehensive total score corresponding to the current student number is greater than a preset second threshold value and the corresponding single flight total time length is greater than a preset single flight time length threshold value.
8. The utility model provides a training result intelligent management system which characterized in that, includes platform server, is used for the communication basic station of transmission signal and sets up the airborne terminal on the training machine, and wherein, platform server includes:
a signal receiving module (301) for acquiring training basic information;
the data processing module (302) is used for processing the single training data based on a preset scoring model after the single training data corresponding to the current student number is obtained, and obtaining a single score corresponding to the current student number;
a data updating module (303) for updating the comprehensive total score corresponding to the current student number based on the single score, identifying the training duration corresponding to the single training data, and updating the training total duration corresponding to the current student number;
and the training level grade updating module (304) is used for updating the training level grade corresponding to the current student number after the comprehensive total score and the total training duration corresponding to the current student number meet corresponding preset upgrading conditions.
9. An intelligent terminal, comprising a memory and a processor, the memory having stored thereon a computer program that can be loaded by the processor and that executes the method according to any one of claims 1 to 7.
10. A computer-readable storage medium, in which a computer program is stored which can be loaded by a processor and which executes the processing performed by a platform server in the method according to any one of claims 1 to 7.
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