CN111260983A - Intelligent simulation indoor skiing teaching system and method - Google Patents
Intelligent simulation indoor skiing teaching system and method Download PDFInfo
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Abstract
The invention discloses an intelligent simulation indoor skiing teaching system and method, wherein the system comprises: the system comprises a teaching content service system, an information processing center, a real-time information receiving system, a safety system, an image interaction system and a student information big data center, wherein the teaching content service system is used for providing a plurality of preset teaching items; the real-time information receiving system is used for acquiring the acquisition information of a preset sensor in the skiing teaching system; the information processing center is used for receiving and processing the information collected by the real-time information receiving system and the teaching data generated by the content service center; the safety system is used for monitoring the teaching process and performing safety early warning; the image interaction system is used for interactively putting teaching and training contents in real time; the student information big data center is used for storing the identity information of students and the learning situation information screened by the information processing center and generating a learning data report. The invention has rich functions and improves the learning efficiency of skiing training.
Description
Technical Field
The invention relates to the field of simulated skiing teaching systems, in particular to an intelligent simulated indoor skiing teaching system and method.
Background
With the improvement of the living standard of people, the success of winter and Australia is achieved, and the guidance of national policies, more and more people participate in skiing sports, but because the traditional skiing field is limited by environmental factors such as regions, seasons, climate and the like, for most skiers, a great amount of time, energy and financial resources are required to be invested in learning skiing, and the learning efficiency is low when the skiers learn skiing on a natural snow slope. In view of this, indoor simulation skiing machines are suitable for transport and are favored by more and more skiers, but indoor simulation skiing machines in the market are far from real skiing scenes at present, and similar to the traditional ski resort, face a teacher-resource dilemma, are high in training cost, lack of training teachers and resources above middle and high levels, lack of corresponding middle and high-level skiing training courses, the scientificity, interestingness and pertinence of the whole training course are to be improved, and information data for assisting the skiers in learning are to be integrated.
Current skiing machine teaching system, the function singleness just does not have pertinence, needs training mr to nurse in real time, has certain human factor's potential safety hazard, and if the coach when the training, the student falls down, and the coach closes snowmachine because of not in time, or presses wrong remote controller button, and the student's that causes accident injury. The learning efficiency cannot be improved in a targeted manner due to the lack of data acquisition of learning training.
Disclosure of Invention
In order to solve at least one technical problem, the invention provides an intelligent simulation indoor skiing teaching system and method.
In order to solve the above technical problem, a first aspect of the present invention discloses an intelligent simulation indoor skiing teaching system, comprising:
an intelligent simulated indoor ski teaching system, the system comprising: the system comprises a teaching content service system, an information processing center, a real-time information receiving system, a safety system, an image interaction system and a student information big data center, wherein the teaching content service system is used for providing a plurality of preset teaching items; the real-time information receiving system is used for acquiring the acquisition information of a preset sensor in the skiing teaching system;
the information processing center is used for receiving and processing the information collected by the real-time information receiving system and the teaching data generated by the content service center;
the safety system is used for monitoring the teaching process and performing safety early warning;
the image interaction system is used for interactively putting teaching and training contents in real time;
the student information big data center is used for storing the identity information of students and the learning situation information screened by the information processing center and generating a learning data report.
Further, the information processing center includes: a real-time information processing system and a time-sharing information processing system.
Furthermore, the real-time information processing system is used for putting training courses into a snow blanket in real time by means of an image interaction system when a student trains by using the skiing teaching system, so as to assist the student in performing targeted training; receiving information collected by a real-time information receiving system, analyzing error actions in real time, and scheduling an image interaction system to perform real-time image interaction; capturing the learning state of the student in real time;
the time-sharing information processing system can integrate and analyze the information of the student in stages and periods and automatically send the information to the student at regular intervals.
Further, the real-time information receiving system comprises: sonar sensors, laser sensors, video information sensors.
Further, the preset teaching content of the teaching content service system comprises: fixed path training subjects, fixed task training subjects, fixed time training subjects.
Further, the teaching content service system further comprises: a pre-training evaluation module, a primary training module, a middle training module, a high training module and a free training module,
the pre-training evaluation module is used for the zero-basis training trainees or the basic trainees to carry out skill evaluation and risk evaluation before training; the zero-base training trainees are trainees with training duration of 0, and the basic trainees are trainees with training duration of more than 0;
the primary training module, the intermediate training module and the advanced training module are obtained by dividing training duration obtained by a student;
the free training module is used for the trainees to select training items in a personalized way.
The invention provides a method applied to an intelligent simulation indoor skiing teaching system, which comprises the following steps:
the identity authentication logs in the system, and the system evaluates before training and generates a training plan;
selecting a training module to enter training according to the evaluation result and the training plan, and acquiring the setting information of the training by the information processing center;
the real-time information receiving system collects trainee training state information and sends the trainee training state information to the information processing center;
the information processing center processes the acquired information and then respectively and correspondingly sends the processed information to a security system, an image interaction system and a student information big data center;
and the student information big data center generates a training data report according to the acquired information.
Further, the trainee training state information collected by the real-time collection system includes: acquiring real-time displacement change and snowboard form information of a student by using a sonar sensor; acquiring the physical information of the skier skiing by using a laser sensor; and the mental state and the safety state of the student are acquired by using the video information sensor.
Further, the method for acquiring the mental state and the safety state of the student by using the video information sensor comprises the following specific steps:
the video information sensor acquires video image information and sends the video image information to the information processing center;
the information processing center extracts key frames;
and (4) performing student mental state identification and safety state identification according to the key frames.
Further, the data sent by the information processing center acquired by the security system is security state data, and when the security state data acquired by the security system is larger than a preset threshold value, the alarm information is sent out through voice and sent to the student information big data center.
According to the intelligent simulation indoor skiing teaching system and method, the skiing machine teaching system with rich functions is constructed through different system modules, training safety accidents can be effectively prevented through the safety system design, and meanwhile training data collection and analysis are achieved by utilizing a student information big data center, so that training learning efficiency is improved.
Drawings
Fig. 1 shows a block diagram of an intelligent simulation indoor skiing teaching system of the invention.
Fig. 2 shows a flow chart of a method applied to an intelligent simulation indoor skiing teaching system.
Fig. 3 shows a flow chart of the mental state and the safety state of the trainee acquired by the video information sensor.
Detailed description of the invention
In order that the above objects, features and advantages of the present invention can be more clearly understood, a more particular description of the invention will be rendered by reference to the appended drawings. It should be noted that the embodiments and features of the embodiments of the present application may be combined with each other without conflict.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, however, the present invention may be practiced in other ways than those specifically described herein, and therefore the scope of the present invention is not limited by the specific embodiments disclosed below.
The intelligent simulation indoor skiing teaching system is mainly suitable for indoor simulation skiing machines, and is formed by combining a teaching content service system, an information processing center, a real-time information receiving system, a safety system, an image interaction system, a student information big data center and a hardware skiing machine. Of course, the present invention is not limited to the kind of skiing machine, and any solution using the present invention will fall into the scope of the present invention.
Fig. 1 shows a block diagram of an intelligent simulation indoor skiing teaching system of the invention.
As shown in fig. 1, a first aspect of the present invention discloses an intelligent simulated indoor ski teaching system, comprising:
an intelligent simulated indoor ski teaching system, the system comprising: the system comprises a teaching content service system, an information processing center, a real-time information receiving system, a safety system, an image interaction system and a student information big data center, wherein the teaching content service system is used for providing a plurality of preset teaching items; the real-time information receiving system is used for acquiring the acquisition information of a sensor preset in the skiing teaching system;
the information processing center is used for receiving and processing the information collected by the real-time information receiving system and the teaching data generated by the content service center;
the safety system is used for monitoring the teaching process and performing safety early warning;
the image interaction system is used for interactively putting teaching and training contents in real time;
the student information big data center is used for storing the identity information of students and the learning situation information screened by the information processing center and generating a learning data report.
Further, the information processing center includes: a real-time information processing system and a time-sharing information processing system.
Furthermore, the real-time information processing system is used for putting training courses into a snow blanket in real time by means of an image interaction system when a student trains by using the skiing teaching system, so as to assist the student in performing targeted training; receiving information collected by a real-time information receiving system, analyzing error actions in real time, and scheduling an image interaction system to perform real-time image interaction; capturing the learning state of the student in real time;
for example, when the trainee falls, the shoulder is lower than the preset height, and when the trainee falls, the real-time information processing system can be immediately linked with the safety system to stop.
When the attention of the student is not focused, the information system can dispatch a safety system and an image interaction system to prompt the student to pay attention to the safety.
The time-sharing information processing system can integrate and analyze the information of the student in stages and periods and automatically send the information to the student at regular intervals.
Further, the real-time information receiving system comprises: sonar sensors, laser sensors, video information sensors.
It should be noted that the real-time information receiving system composed of the sound , the laser and the video information sensor collects and records the information of the student such as the displacement, the gliding posture, the snowboard shape, the mental state and the safety state.
More specifically, the sonar sensor can accurately track and record information such as displacement change of a student, snow board shape and the like;
the laser sensor can accurately capture the sliding posture information of the student, such as the posture of key parts of the body of the student during sliding;
the video information sensor can record the sliding video of the student and capture the information of the mental state, the safety state and the like of the skier.
Further, the preset teaching content of the teaching content service system comprises: fixed path training subjects, fixed task training subjects, fixed time training subjects.
The training subjects of the fixed path, namely the trainees can set the skiing path with the fixed length according to the needs of the trainees, such as 500m, 1km, 2km and the like, and the trainees can select and set according to the proficiency degree of the trainees and the physical abilities of the trainees.
The fixed task training subjects, i.e., trainees, can select to set a specific task, such as continuous obstacle avoidance, continuous passage through a snow slope of a fixed angle, continuous passage through a snow slope of different angles, and the like, so as to perform targeted training.
For example, the number of successive obstacle avoidance may be selected, e.g., 5, 10, etc., and the fixed angle may be, e.g., a 30 degree slope or a 35 degree slope, etc.
The fixed-time training subjects, i.e. trainees, can set the time length of each training by themselves, such as 20 minutes, 30 minutes, 1 hour, etc.
Further, the teaching content service system further comprises: a pre-training evaluation module, a primary training module, a middle training module, a high training module and a free training module,
the pre-training evaluation module is used for the zero-basis training trainees or the basic trainees to carry out skill evaluation and risk evaluation before training; the zero-base training trainees are trainees with training duration of 0, and the basic trainees are trainees with training duration of more than 0;
the primary training module, the intermediate training module and the advanced training module are obtained by dividing training duration obtained by a student;
the free training module is used for the trainees to select training items in a personalized way.
It should be noted that, the pre-training evaluation module performs comprehensive evaluation and scoring before each training of the trainee according to the indexes set by the trainee, such as age, gender, weight, health status, resting heart rate, and acquired training period, and provides the current exercise training plan, and the trainee can select training contents to train according to the scoring and the generated training plan.
The training system comprises a primary training module, a middle training module and a high training module, wherein the primary training module, the middle training module and the high training module are obtained by dividing training duration obtained by a student, specifically, 0-30 students can be classified as primary training stages corresponding to the primary training module, when the t length is less than or equal to 30 students during effective training of the student, only the primary training module can be selected for training, 30-60 students can be classified as middle training stages corresponding to the middle training module, and when the t belongs to (30, 60) during effective training of the student, the student can select the primary training module or the middle training module;
when the 60-90 scholars are divided into high-level training stages, corresponding to high-level training modules, and when t belongs to (60, 90) during the effective training of the trainees, the trainees can select a primary training module or a middle-level training module or a high-level training module.
The free training module is used for the trainees to select training items in a personalized way.
It should be noted that, the content difficulty setting of the free training module is high, and the authority is only opened for the trainees who effectively train the school hour to be greater than 30. The free training module can comprise training subjects in different combination forms, for example, fixed path training subjects, fixed task training subjects and fixed time training subjects can be freely matched to form training subjects.
For example, a 500m ski route is combined with 5 consecutive obstacles, and 3 snow slopes of 30 degrees are added to form the subject content of free training.
In a specific embodiment, for example, a ski route of 1km length is combined with 10 consecutive different obstacles, while adding 5 snow slopes of 30 degrees constitutes the subject matter of the free training.
In a specific embodiment, a ski route of, for example, 1km length is combined with 10 consecutive identical obstacles to form a freely trained subject matter.
It should be noted that, the student information big data center may record information filtered by the information processing center, such as the student learning condition: the training data report can be automatically generated according to the skiing learning condition of the student in the class, the periodic learning condition of the student, the learning conditions of students of different ages, different sexes and different levels of skiers. The generated data report can be pushed to the trainee through the contact information bound by the trainee, for example, the data report can be sent to the trainee by sending a short message or sending an email.
Further, the trainee training state information collected by the real-time collection system includes: real-time displacement change of a student and snow board form information are acquired by using a sonar sensor; acquiring the physical information of the skier skiing by using a laser sensor; and the mental state and the safety state of the student are acquired by using the video information sensor.
Further, the video information sensor acquires video image information and sends the video image information to the information processing center, the information processing center extracts key frames, and the student mental state identification and safety state identification are carried out according to the key frames.
Further, the data sent by the information processing center acquired by the security system is security state data, and then when the security state data acquired by the security system is larger than a preset threshold value, the alarm information is sent out through voice and sent to the student information big data center.
For example, when the average speed of the trainee in training is greater than a preset threshold value, warning information is sent out through voice and sent to a trainee information big data center, wherein the warning information comprises the average speed value in current training.
Fig. 2 shows a flow chart of a method applied to an intelligent simulation indoor skiing teaching system.
As shown in fig. 2, a second aspect of the present invention provides a method applied to an intelligent simulated indoor ski teaching system, comprising the following steps:
s102, identity authentication is carried out on a login system, evaluation before training is carried out, and a training plan is generated;
it should be noted that, the evaluation before training is to perform comprehensive evaluation scoring according to the indexes set by the trainee before each training, such as age, sex, weight, health status, resting heart rate, and acquired training school, and to give the current exercise training plan, the trainee can select the training content to train according to the scoring and the generated training plan.
S104, selecting a training module to enter training according to the evaluation result and the training plan, and acquiring the setting information of the training by the information processing center;
it should be noted that the training module includes: a pre-training evaluation module, a primary training module, a middle training module, a high training module and a free training module,
the pre-training evaluation module is used for the zero-basis training trainees or the basic trainees to carry out skill evaluation and risk evaluation before training;
the primary training module, the intermediate training module and the advanced training module are obtained by dividing training duration obtained by a student;
the free training module is used for the trainees to select training items in a personalized way.
It should be noted that, the pre-training evaluation module performs comprehensive evaluation and scoring before each training of the trainee according to the indexes set by the trainee, such as age, gender, weight, health status, resting heart rate, and acquired training period, and provides the current exercise training plan, and the trainee can select training contents to train according to the scoring and the generated training plan.
In one particular embodiment, the trainee assessment score for the acquired training session is higher than the zero base trainee (i.e., the trainee who did not acquire the training session).
The training system comprises a primary training module, a middle training module and a high training module, wherein the primary training module, the middle training module and the high training module are obtained by dividing training duration obtained by a student, specifically, 0-30 students can be classified as primary training stages corresponding to the primary training module, when the t length is less than or equal to 30 students during effective training of the student, only the primary training module can be selected for training, 30-60 students can be classified as middle training stages corresponding to the middle training module, and when the t belongs to (30, 60) during effective training of the student, the student can select the primary training module or the middle training module;
when the 60-90 scholars are divided into high-level training stages, corresponding to high-level training modules, and when t belongs to (60, 90) during the effective training of the trainees, the trainees can select a primary training module or a middle-level training module or a high-level training module.
The free training module is used for the trainees to select training items in a personalized way.
The free training module can comprise training subjects in different combination forms, for example, fixed path training subjects, fixed task training subjects and fixed time training subjects can be freely matched to form training subjects.
For example, in one specific embodiment, a 500m length ski path is combined with 5 consecutive obstacles, plus 3 snow slopes of 30 degrees, to form the subject matter of free training.
In a specific embodiment, for example, a ski route of 1km length is combined with 10 consecutive different obstacles, while adding 5 snow slopes of 30 degrees constitutes the subject matter of the free training.
In a specific embodiment, a ski route of, for example, 1km length is combined with 10 consecutive identical obstacles to form a freely trained subject matter.
The training subjects of the fixed path, namely the trainees can set the skiing path with the fixed length according to the needs of the trainees, such as 500m, 1km, 2km and the like, and the trainees can select and set according to the proficiency degree of the trainees and the physical abilities of the trainees.
The fixed task training subjects, i.e., trainees, can select to set a specific task, such as continuous obstacle avoidance, continuous passage through a snow slope of a fixed angle, continuous passage through a snow slope of different angles, and the like, so as to perform targeted training.
For example, the number of successive obstacle avoidance may be selected, e.g., 5, 10, etc., and the fixed angle may be, e.g., a 30 degree slope or a 35 degree slope, etc.
The fixed-time training subjects, i.e. trainees, can set the time length of each training by themselves, such as 20 minutes, 30 minutes, 1 hour, etc.
It should be noted that, the content difficulty setting of the free training module is high, and the authority is only opened for trainees who train for more than 30 hours.
S106, the real-time information receiving system collects trainee training state information and sends the trainee training state information to the information processing center;
s108, the information processing center processes the acquired information and then respectively and correspondingly sends the processed information to a security system, an image interaction system and a student information big data center;
and S110, the student information big data center generates a training data report according to the acquired information.
It should be noted that, the student information big data center may record information filtered by the information processing center, such as the student learning condition: the training data report can be automatically generated according to the skiing learning condition of the student in the class, the periodic learning condition of the student, the learning conditions of students of different ages, different sexes and different levels of skiers. The generated data report can be pushed to the trainee through the contact information bound by the trainee, for example, the data report can be sent to the trainee by sending a short message or sending an email.
Further, the trainee training state information collected by the real-time collection system includes: real-time displacement change of a student and snow board form information are acquired by using a sonar sensor; acquiring the physical information of the skier skiing by using a laser sensor; and the mental state and the safety state of the student are acquired by using the video information sensor.
Fig. 3 shows a flow chart of the mental state and the safety state of the trainee acquired by the video information sensor.
Further, the method for acquiring the mental state and the safety state of the student by using the video information sensor comprises the following specific steps:
s302, the video information sensor acquires video image information and sends the video image information to an information processing center;
s304, the information processing center extracts key frames;
and S306, performing student mental state identification and safety state identification according to the key frame.
Further, the data sent by the information processing center acquired by the security system is security state data, and then when the security state data acquired by the security system is larger than a preset threshold value, the alarm information is sent out through voice and sent to the student information big data center.
In a specific embodiment, when the average speed of the trainee in training is greater than a preset threshold, warning information is sent out through voice and sent to a trainee information big data center, wherein the warning information comprises the average speed value in current training.
It should be noted that the information processing center includes: a real-time information processing system and a time-sharing information processing system.
Furthermore, the real-time information processing system is used for putting training courses into a snow blanket in real time by means of the image interaction system when a student trains by using the teaching system, so as to assist the student in performing targeted training; receiving information collected by a real-time information receiving system, analyzing error actions in real time, and scheduling an image interaction system to perform real-time image interaction; capturing the learning state of the student in real time;
for example, when the trainee falls, the shoulder is lower than the preset height, and when the trainee falls, the real-time information processing system can be immediately linked with the safety system to stop.
When the attention of the student is not focused, the information system can dispatch a safety system and an image interaction system to prompt the student to pay attention to the safety.
The time-sharing information processing system can integrate and analyze the information of the student in stages and periods and automatically send the information to the student at regular intervals.
Further, the real-time information receiving system comprises: sonar sensors, laser sensors, video information sensors.
It should be noted that the real-time information receiving system composed of the sound , the laser and the video information sensor collects and records the information of the student such as the displacement, the gliding posture, the snowboard shape, the mental state and the safety state.
More specifically, the sonar sensor can accurately track and record information such as displacement change of a student, snow board shape and the like;
the laser sensor can accurately capture the sliding posture information of the student, such as the posture of key parts of the body of the student during sliding;
the video information sensor can record the sliding video of the student and capture the information of the mental state, the safety state and the like of the skier.
Further, the preset teaching content of the teaching content service system comprises: fixed path training subjects, fixed task training subjects, fixed time training subjects.
The training subjects of the fixed path, namely the trainees can set the skiing path with the fixed length according to the needs of the trainees, such as 500m, 1km, 2km and the like, and the trainees can select and set according to the proficiency degree of the trainees and the physical abilities of the trainees.
The fixed task training subjects, i.e., trainees, can select to set a specific task, such as continuous obstacle avoidance, continuous passage through a snow slope of a fixed angle, continuous passage through a snow slope of different angles, and the like, so as to perform targeted training.
For example, the number of successive obstacle avoidance may be selected, e.g., 5, 10, etc., and the fixed angle may be, e.g., a 30 degree slope or a 35 degree slope, etc.
The fixed-time training subjects, i.e. trainees, can set the time length of each training by themselves, such as 20 minutes, 30 minutes, 1 hour, etc.
In order to better explain the technical scheme of the invention, the specific steps for protecting the steering engine will be described in detail through several embodiments.
According to the intelligent simulation indoor skiing teaching system and method, the skiing machine teaching system with rich functions is constructed through different system modules, training safety accidents can be effectively prevented through the safety system design, and meanwhile training data collection and analysis are achieved by utilizing a student information big data center, so that training learning efficiency is improved.
In the several embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The above-described device embodiments are merely illustrative, for example, the division of the unit is only a logical functional division, and there may be other division ways in actual implementation, such as: multiple units or components may be combined, or may be integrated into another system, or some features may be omitted, or not implemented. In addition, the coupling, direct coupling or communication connection between the components shown or discussed may be through some interfaces, and the indirect coupling or communication connection between the devices or units may be electrical, mechanical or other forms.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units; can be located in one place or distributed on a plurality of network units; some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, all the functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may be separately regarded as one unit, or two or more units may be integrated into one unit; the integrated unit can be realized in a form of hardware, or in a form of hardware plus a software functional unit.
Those of ordinary skill in the art will understand that: all or part of the steps for realizing the method embodiments can be completed by hardware related to program instructions, the program can be stored in a computer readable storage medium, and the program executes the steps comprising the method embodiments when executed; and the aforementioned storage medium includes: a mobile storage device, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
Alternatively, the integrated unit of the present invention may be stored in a computer-readable storage medium if it is implemented in the form of a software functional module and sold or used as a separate product. Based on such understanding, the technical solutions of the embodiments of the present invention may be essentially implemented or a part contributing to the prior art may be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the methods described in the embodiments of the present invention. And the aforementioned storage medium includes: a removable storage device, a ROM, a RAM, a magnetic or optical disk, or various other media that can store program code.
The above description is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present invention, and all the changes or substitutions should be covered within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the appended claims.
Claims (10)
1. An intelligent simulated indoor ski teaching system, the system comprising: the system comprises a teaching content service system, an information processing center, a real-time information receiving system, a safety system, an image interaction system and a student information big data center, wherein the teaching content service system is used for providing a plurality of preset teaching items; the real-time information receiving system is used for acquiring the acquisition information of a preset sensor in the skiing teaching system;
the information processing center is used for receiving and processing the information collected by the real-time information receiving system and the teaching data generated by the content service center;
the safety system is used for monitoring the teaching process and performing safety early warning;
the image interaction system is used for interactively putting teaching and training contents in real time;
the student information big data center is used for storing the identity information of students and the learning situation information screened by the information processing center and generating a learning data report.
2. The intelligent simulated indoor ski teaching system of claim 1, wherein said information processing center comprises: a real-time information processing system and a time-sharing information processing system.
3. The intelligent simulation indoor skiing teaching system of claim 2, wherein the real-time information processing system is used for putting training courses to a snow blanket in real time by means of an image interaction system when a student trains with the skiing teaching system, so as to assist the student in targeted training; receiving information collected by a real-time information receiving system, analyzing error actions in real time, and scheduling an image interaction system to perform real-time image interaction; capturing the learning state of the student in real time;
the time-sharing information processing system can integrate and analyze the information of the student in stages and periods and automatically send the information to the student at regular intervals.
4. The intelligent simulated indoor ski teaching system as claimed in claim 1, wherein said real-time information receiving system comprises: sonar sensors, laser sensors, video information sensors.
5. The intelligent simulated indoor skiing teaching system as claimed in claim 1, wherein the preset teaching content of the teaching content service system comprises: fixed path training subjects, fixed task training subjects, fixed time training subjects.
6. The intelligent simulated indoor skiing teaching system as claimed in claim 1, wherein the teaching content service system further comprises: a pre-training evaluation module, a primary training module, a middle training module, a high training module and a free training module,
the pre-training evaluation module is used for the zero-basis training trainees or the basic trainees to carry out skill evaluation and risk evaluation before training; the zero-base training trainees are trainees with training duration of 0, and the basic trainees are trainees with training duration of more than 0;
the primary training module, the intermediate training module and the advanced training module are obtained by dividing training duration obtained by a student;
the free training module is used for the trainees to select training items in a personalized way.
7. A method applied to an intelligent simulation indoor skiing teaching system is characterized by comprising the following steps:
the identity authentication logs in the system, and the system evaluates before training and generates a training plan;
selecting a training module to enter training according to the evaluation result and the training plan, and acquiring the setting information of the training by the information processing center;
the real-time information receiving system collects trainee training state information and sends the trainee training state information to the information processing center;
the information processing center processes the acquired information and then respectively and correspondingly sends the processed information to a security system, an image interaction system and a student information big data center;
and the student information big data center generates a training data report according to the acquired information.
8. The method of claim 7, wherein the trainee training status information collected by the real-time collection system comprises: utilizing real-time student displacement change and snowboard form information acquired by a sonar sensor; acquiring the physical information of the skier skiing by using a laser sensor; the mental state and the safety state of the student are acquired by using the video information sensor.
9. The method as claimed in claim 8, wherein the acquiring of the mental state and the safety state of the trainee by the video information sensor comprises the following steps:
the video information sensor acquires video image information and sends the video image information to the information processing center;
the information processing center extracts key frames;
and (4) performing student mental state identification and safety state identification according to the key frames.
10. The method as claimed in claim 7, wherein the data acquired by the security system and sent by the information processing center is security status data, and when the security status data acquired by the security system is greater than a preset threshold, the alarm information is sent by voice and sent to the student information big data center.
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