CN112933580B - Skiing competition data acquisition method and system based on sonar sensor and readable storage medium - Google Patents
Skiing competition data acquisition method and system based on sonar sensor and readable storage medium Download PDFInfo
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- CN112933580B CN112933580B CN202110111548.3A CN202110111548A CN112933580B CN 112933580 B CN112933580 B CN 112933580B CN 202110111548 A CN202110111548 A CN 202110111548A CN 112933580 B CN112933580 B CN 112933580B
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- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
- A63B71/00—Games or sports accessories not covered in groups A63B1/00 - A63B69/00
- A63B71/06—Indicating or scoring devices for games or players, or for other sports activities
- A63B71/0605—Decision makers and devices using detection means facilitating arbitration
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- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
- A63B69/00—Training appliances or apparatus for special sports
- A63B69/18—Training appliances or apparatus for special sports for skiing
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- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
- A63B2220/00—Measuring of physical parameters relating to sporting activity
- A63B2220/80—Special sensors, transducers or devices therefor
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Abstract
According to the skiing competition data acquisition method and system based on the sonar sensor and the readable storage medium, the track of the user is analyzed through the acquired data of the sonar sensor, the angle of the sonar sensor is adjusted according to the prediction of the track of the user, and the angle of the sonar sensor is adjusted, so that the acquired data of the user are more accurate. The track prediction method and the track prediction device further analyze the track of the user through the game content information, further predict the track of the user by adopting a track neural network model, enable the track prediction to be more accurate, adjust the angle of the sonar sensor through the accurate track position, enable the acquired information to be more accurate, and enable the score of the game to be more accurate and reliable.
Description
Technical Field
The application relates to the field of sensor data processing, in particular to a skiing competition data acquisition method and system based on sonar sensors and a readable storage medium.
Background
In recent years, indoor snowboarder machines which are not limited by environmental factors such as regions, seasons, climate and the like are favored by more and more skiers, and the snowboarder machines are produced at the same time, but can not be deeply matched with the functions and characteristics of the snowboarder machines.
At present, the competition on the snowplow mostly adopts different snowplows to set the specified gradient and speed, the flag gate of the traditional snowfield competition is virtualized by boundary ropes or correlation sensor devices at two sides of a snow blanket, and a judge counts manually according to the competition rule of timing counting to judge the competition score.
In the existing indoor snowmobile simulation competition, 1, a timed counting method is adopted to count competition scores, and as the timed counting method is low in precision, the competition scores of players are approximate, the overlapping rate is high, and the phenomenon that a plurality of players have the same name is easy to occur in the competition; 2. the method is limited by physical characteristics (snowmobile size, snowmobile length and width) of the snowmobile model, when a competition rule is designed according to parameters such as virtual flagpoles, slope and speed, the current indoor simulated snowmobile competition is single in competition type and has no unified fixed competition rule; 3. the existing events are played in a snowmobile training venue, and a large snowmobile training venue only has about 6-10 indoor snowmobiles simulated by a small quantity, so that the large-scale events are difficult to organize; 4. based on the commercial operation mode of the current indoor snowmobile simulation training venue, the frequency of organizing the events is low, the settling period is long, and the cost of manpower and material resources is high; 5. in the existing indoor snowmobile simulation competition, the competition rules are difficult to unify, so that a data information acquisition system for the competition of skiers, such as data of different ages, different sexes, different skiing levels, completed training courses and the like, is lacked; 6. the competition can not provide the supporting data of a system for deeply teaching and developing the indoor snowplow training center, can not fully utilize the characteristics of the indoor snowplow, is organically combined with an indoor skiing simulation teaching and research system, helps a skier to learn and promote more efficiently, and causes the relative disjunction of the existing competition and the indoor snowplow teaching and research system. At present, a scheme for applying a sonar sensor in a snowmobile simulation does not exist, so that data of a user can be better acquired through the sonar sensor, the simulation is more real, and the data are more accurate and are urgent.
Disclosure of Invention
In order to solve at least one technical problem, the invention provides a method and a system for acquiring ski match data based on a sonar sensor and a readable storage medium.
The invention provides a skiing competition data acquisition method based on a sonar sensor, which comprises the following steps:
acquiring data and match content information acquired by each sonar sensor;
analyzing the action track of the user according to the collected data;
analyzing the pre-operation track of the user according to the action track and the competition content information;
generating a competition score and sonar sensor angle adjusting information according to the pre-running track;
sending the angle adjusting information to an adjusting device to adjust the angle of each sonar sensor;
and sending the competition score to a display end for displaying.
In this scheme, still include:
acquiring the position information of each sensor in other types;
analyzing the optimal adjustment position of each sensor in other categories according to the pre-operation track of the user to generate optimal adjustment position information;
and sending the optimal adjustment position information to an adjusting device to adjust the position of each other sensor.
In this scheme, the analyzing the action track of the user according to the collected data specifically includes:
establishing a space coordinate system based on the standard position;
and acquiring the included angle information of each sonar sensor, analyzing the included angle information and the acquired data, and calculating the spatial coordinate value of the user to obtain the action track.
In the scheme, according to the action track and the competition content information, the pre-operation track of the user is analyzed, and the method specifically comprises the following steps:
acquiring a standard running track corresponding to the competition content information;
comparing the action track of the user with the standard running track to obtain the track deviation;
judging whether the track deviation degree is smaller than a preset deviation degree threshold value or not;
if the standard running track is smaller than the preset running track, taking the standard running track as the preset running track of the user; and if not, taking the first mode track as the pre-running track of the user.
In this scheme, the first mode trajectory is:
inputting the motion trail into a trail neural network model;
and outputting to obtain a predicted motion track, wherein the predicted motion track is a first mode track.
In this scheme, the method for training the trajectory neural network model specifically comprises:
collecting historical track samples of a plurality of users to obtain first sample data;
performing feature extraction on the first sample data to obtain feature sample data;
and analyzing the feature sample data, and selecting the feature sample data with high similarity to train the trajectory neural network model.
The invention provides a skiing competition data acquisition system based on a sonar sensor, which comprises a memory and a processor, wherein the memory comprises a skiing competition data acquisition method program based on the sonar sensor, and the skiing competition data acquisition method program based on the sonar sensor realizes the following steps when being executed by the processor:
acquiring data and match content information acquired by each sonar sensor;
analyzing the action track of the user according to the collected data;
analyzing the pre-running track of the user according to the action track and the competition content information;
generating a competition score and sonar sensor angle adjusting information according to the pre-running track;
sending the angle adjusting information to an adjusting device to adjust the angle of each sonar sensor;
and sending the competition score to a display end for displaying.
In this scheme, still include:
acquiring the position information of each sensor in other categories;
analyzing the optimal adjustment position of each sensor of other types according to the pre-operation track of the user to generate optimal adjustment position information;
and sending the optimal adjustment position information to an adjusting device to adjust the position of each other sensor.
In this scheme, the analyzing the action track of the user according to the collected data specifically includes:
establishing a space coordinate system based on the standard position;
and acquiring the included angle information of each sonar sensor, analyzing the included angle information and the acquired data, and calculating the spatial coordinate value of the user to obtain the action track.
In the scheme, according to the action track and the competition content information, the pre-operation track of the user is analyzed, and the method specifically comprises the following steps:
acquiring a standard running track corresponding to the competition content information;
comparing the action track of the user with the standard running track to obtain the track deviation;
judging whether the track deviation degree is smaller than a preset deviation degree threshold value or not;
if the standard running track is smaller than the preset running track, taking the standard running track as the preset running track of the user; and if not, taking the first mode track as the pre-running track of the user.
In this scheme, the first mode trajectory is:
inputting the motion trail into a trail neural network model;
and outputting to obtain a predicted motion track, wherein the predicted motion track is a first mode track.
In this scheme, the training method of the trajectory neural network model specifically comprises:
collecting historical track samples of a plurality of users to obtain first sample data;
performing feature extraction on the first sample data to obtain feature sample data;
and analyzing the feature sample data, and selecting the feature sample data with high similarity to train the trajectory neural network model.
The third aspect of the present invention further provides a computer-readable storage medium, where the computer-readable storage medium includes a program of a method for acquiring ski match data based on a sonar sensor, and when the program of the method for acquiring ski match data based on a sonar sensor is executed by a processor, the steps of the method for acquiring ski match data based on a sonar sensor as described in any one of the above are implemented.
According to the skiing competition data acquisition method and system based on the sonar sensor and the readable storage medium, the track of the user is analyzed through the acquired data of the sonar sensor, the angle of the sonar sensor is adjusted according to the prediction of the track of the user, and the angle of the sonar sensor is adjusted, so that the acquired data of the user are more accurate. The track prediction method and the track prediction device further analyze the user track through the match content information, further predict the user track by adopting a track neural network model, enable the track prediction to be more accurate, adjust the angle of the sonar sensor through the accurate track position, enable the acquired information to be more accurate, and enable the scores of the match to be more accurate and reliable.
Drawings
FIG. 1 shows a flow chart of a method for acquiring ski match data based on sonar sensors according to the present invention;
FIG. 2 shows a block diagram of a sonar sensor based ski match data acquisition system of the present invention.
Detailed Description
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.
Fig. 1 shows a flow chart of a ski game data acquisition method based on sonar sensors according to the present invention.
As shown in fig. 1, the invention discloses a method for acquiring data of a ski game based on a sonar sensor, which comprises the following steps:
s102, acquiring data and match content information acquired by each sonar sensor;
s104, analyzing the action track of the user according to the collected data;
s106, analyzing the pre-operation track of the user according to the action track and the competition content information;
s108, generating a competition score and sonar sensor angle adjusting information according to the pre-running track;
s110, sending the angle adjusting information to an adjusting device to adjust the angle of each sonar sensor;
and S112, sending the competition score to a display end for displaying.
The snowplow is generally of a cubic structure, and in the snowplow, sonar sensors may be provided at different positions as needed, and preferably 4 sonar sensors are provided at 4 corners of the snowplow and at a position higher than the snow blanket by 1 meter or more. The angle of sonar sensor can be adjusted by adjusting device, and it can be understood that every sonar sensor all can dispose an adjusting device in order to be used for carrying out the regulation of angle, can set up the motor among the adjusting device and drive, and every adjusting device is controlled by the controller and is adjusted. In the invention, other kinds of sensors can be provided with corresponding adjusting devices so as to adjust the positions of different sensors. In the invention, data and match content information collected by each sonar sensor are firstly acquired, wherein the match content information comprises a match mode, a match scoring rule and the like, and the match mode can be a large loop, a small loop, a flag winding and the like. And then analyzing the action track of the user according to the collected data, and analyzing the action track of the user through the data collected at each time point. After the action track is obtained, the pre-movement track of the user is analyzed according to the action track and the competition content information, wherein the pre-movement track is the action track which is about to be performed by the user, namely the action track of the user in the next time period, and the action track is not generated, so that prediction is needed. After the pre-action trajectory is obtained, a competition score and angle adjustment information of each sonar sensor can be generated. The game score can be obtained by analyzing the deviation degree of the track according to the action track and/or the pre-action track. Wherein the match score that obtains can be sent to the display end and show, and the angle adjustment information who obtains sends adjusting device, by adjusting device adjustment sonar sensor's angle. Through the adjustment to sonar sensor angle, can make the sensor work with the best angle all the time, gather user position for data accuracy is higher.
It should be noted that the display terminal of the present invention may be a display system, which is connected to the competition system, and can display the competition task in real time through video equipment, such as a projector, a television, a notebook, an ipad, etc. The system can be connected with an image device, is linked with an information processing center and a data center, can transfer local or multi-site event interaction data and comprehensive data (such as real-time data, stage event data, regional event data and other information) of the data center in real time, and displays the event information through image equipment.
According to the embodiment of the invention, the method further comprises the following steps:
acquiring a match scoring mode;
obtaining scoring parameters according to the match scoring mode;
calculating according to the scoring parameters to obtain the competition scores of the users;
the game scoring mode is a timed counting or fixed number counting mode.
It should be noted that the present invention can be used for scoring in different ways, and the scoring mode of the specific game is a timed counting or fixed number counting mode. The mode of timing counting can be that the number of devices passed by the user or the number of actions is counted and scored within a certain time. The larger the number, the higher the score, or the smaller the number, the higher the score, which can be specifically set by those skilled in the art according to actual needs. For example, the number of the piles wound by the user can be set, and in this mode, the score is higher when the number of the piles wound is larger in a certain time. The fixed number and timing mode can be that the time is counted after the user passes through the fixed number of equipment or finishes the fixed number of actions, and the scoring is carried out according to the time. For example, if the user spends 50 seconds after 10 stakes, the conversion score is 60 points; the user 40 seconds after the user passes 10 stakes, the conversion score is 80 points.
According to the embodiment of the invention, the position of the user, the coordinates of the sensor, the driving track of the user and the gradient of the snow blanket are calculated and recorded in a three-dimensional coordinate mode. The three-dimensional coordinates may be established by three xyz axes.
First, a three-dimensional coordinate system is established, and uniform xyz coordinates can be established in a predetermined area. Then, according to the data, position and angle information of each sensor, the position of the user can be calculated and mapped to a coordinate system to obtain corresponding coordinate values. Since the time point information is also acquired, the motion trajectory can be generated by the coordinate values and the time points. And obtaining motion state data through the motion trail. The motion state data may include information about the user's stride frequency, speed, orientation, etc.
According to the embodiment of the invention, the method further comprises the following steps:
acquiring the position information of each sensor in other types;
analyzing the optimal adjustment position of each sensor of other types according to the pre-operation track of the user to generate optimal adjustment position information;
and sending the optimal adjustment position information to an adjusting device to adjust the position of each other sensor.
It should be noted that other sensors, such as a correlation sensor, a laser sensor, a switch sensor, etc., are often present in snowsimulators. In order to more accurately acquire the position of the user, other sensors are required to work cooperatively, so that the positions of the other sensors can be adjusted through data of the sonar sensors. First, position information is obtained for each of the other sensor categories, e.g., how far and how far the correlation sensor is on either side of the snow blanket, how far and how high the laser sensor is, etc. And then analyzing the optimal adjustment position of each sensor of other types according to the pre-running track of the user to generate optimal adjustment position information. And sending the optimal adjustment position information to an adjusting device to adjust the position of each other sensor. Through the analysis to the orbit of moving in advance, can make other sensors adjust in advance to make every sensor can both be in the best position and the angle carries out the collection of data to the user, can let the data of match more accurate, improved user and used the experience and felt.
According to the embodiment of the invention, the analyzing the action track of the user according to the collected data specifically comprises the following steps:
establishing a space coordinate system based on the standard position;
and acquiring the included angle information of each sonar sensor, analyzing the included angle information and the acquired data, and calculating the spatial coordinate value of the user to obtain the action track.
When the action trajectory analysis is performed, the analysis may be performed by using the established three-dimensional space coordinate system, and the xyz-axis coordinate system may be established based on the standard position as the origin. The standard position may be set according to actual needs, for example, a middle point of a snow blanket of the snowmaking simulator may be used as an origin, or a boundary point between one of the pillars and the snow blanket may be used as an origin. And then acquiring the included angle information of each sonar sensor, analyzing the included angle information and the acquired data, and calculating the spatial coordinate value of the user. The distance and the angle between the sonar sensor and the user can be calculated through the acquired included angle of the sonar sensor and the acquired data, so that the position point location of the user can be obtained, the position point location is identified by adopting space coordinates, and a motion track is formed after point tracing is carried out for time.
According to the embodiment of the invention, the pre-operation track of the user is analyzed according to the action track and the competition content information, and the method specifically comprises the following steps:
acquiring a standard running track corresponding to the competition content information;
comparing the action track of the user with the standard running track to obtain the track deviation;
judging whether the track deviation degree is smaller than a preset deviation degree threshold value or not;
if the standard running track is smaller than the preset running track, taking the standard running track as the preset running track of the user; and if not, taking the first mode track as the pre-running track of the user.
It should be noted that, the acquired game content information corresponds to a standard motion trajectory, and the standard motion trajectory is used for determining the score of the game. After comparing the action trajectory of the user with the standard running trajectory, the trajectory deviation degree may be acquired. A higher degree of deviation indicates a greater deviation of the standard trajectory of the user from the game. And a deviation threshold value is preset in the deviation degree, and whether the deviation degree of the track is smaller than the preset deviation threshold value is judged. If the standard running track is smaller than the preset running track, taking the standard running track as the preset running track of the user; and if not, taking the first mode track as the pre-running track of the user. By the judgment of the pre-operation track, the pre-operation track of the user can be determined more quickly.
According to an embodiment of the present invention, the first mode trajectory is:
inputting the motion trail into a trail neural network model;
and outputting to obtain a predicted motion track, wherein the predicted motion track is a first mode track.
It should be noted that the first pattern is a trajectory calculated by a neural network model, and the neural network model is a model trained in advance, and when prediction is performed, only data input is required, and then the output is the first pattern trajectory.
The training method of the trajectory neural network model specifically comprises the following steps:
collecting historical track samples of a plurality of users to obtain first sample data;
performing feature extraction on the first sample data to obtain feature sample data;
and analyzing the feature sample data, and selecting the feature sample data with high similarity to train the trajectory neural network model.
It should be noted that training of the neural network model requires a large amount of historical data, so that historical trajectory samples of different users need to be collected in an early stage of training to obtain first sample data. And then, extracting the characteristics of the samples to obtain characteristic sample data. And comparing the characteristic sample data because the characteristics of different samples are different, and selecting the characteristic sample data with high similarity to train the trajectory neural network model. That is to say, the trajectory neural network model has a plurality of prediction models with different characteristics, and after the current user trajectory data is input, the prediction models are classified in the models, and then the pre-operation trajectory data of the corresponding category is obtained as the pre-operation trajectory data of the user.
FIG. 2 shows a block diagram of a sonar sensor based ski match data acquisition system of the present invention.
As shown in fig. 2, a ski match data acquisition system 2 based on sonar sensors includes a memory 21 and a processor 22, where the memory includes a ski match data acquisition method program based on sonar sensors, and the ski match data acquisition method program based on sonar sensors is executed by the processor to implement the following steps:
acquiring data and match content information acquired by each sonar sensor;
analyzing the action track of the user according to the collected data;
analyzing the pre-operation track of the user according to the action track and the competition content information;
generating a competition score and sonar sensor angle adjusting information according to the pre-running track;
sending the angle adjusting information to an adjusting device to adjust the angle of each sonar sensor;
and sending the competition score to a display end for displaying.
The snowplow is generally of a cubic structure, and in the snowplow, sonar sensors may be provided at different positions as needed, and preferably 4 sonar sensors are provided at 4 corners of the snowplow and at a position higher than the snow blanket by 1 meter or more. The angle of sonar sensor can be adjusted by adjusting device, and it can be understood that every sonar sensor all can dispose an adjusting device in order to be used for carrying out the regulation of angle, can set up the motor among the adjusting device and drive, and every adjusting device is controlled by the controller and is adjusted. In the invention, other kinds of sensors can be provided with corresponding adjusting devices so as to adjust the positions of different sensors. In the invention, data and match content information collected by each sonar sensor are firstly acquired, wherein the match content information comprises a match mode, a match scoring rule and the like, and the match mode can be a large loop, a small loop, a flag winding and the like. And then analyzing the action track of the user according to the collected data, and analyzing the action track of the user through the data collected at each time point. After the action track is obtained, the pre-movement track of the user is analyzed according to the action track and the competition content information, wherein the pre-movement track is the action track which is about to be performed by the user, namely the action track of the user in the next time period, and the action track is not generated, so that prediction is needed. After the pre-action trajectory is obtained, a competition score and angle adjustment information of each sonar sensor can be generated. The game score can be obtained by analyzing the deviation degree of the track according to the action track and/or the pre-action track. Wherein the match score that obtains can be sent to the display end and show, and the angle adjustment information who obtains sends adjusting device, by adjusting device adjustment sonar sensor's angle. Through the adjustment to sonar sensor angle, can make the sensor work with the best angle all the time, gather user position for data accuracy is higher.
It should be noted that the display end of the present invention may be a display system, which is connected to the competition system, and can display the competition task in real time through video equipment, such as a projector, a television, a notebook, an ipad, etc. The system can be connected with an image device, is linked with an information processing center and a data center, can transfer local or multi-site event interaction data and comprehensive data (such as real-time data, stage event data, regional event data and other information) of the data center in real time, and displays the event information through image equipment.
According to the embodiment of the invention, the method further comprises the following steps:
acquiring a match scoring mode;
obtaining scoring parameters according to the match scoring mode;
calculating according to the scoring parameters to obtain the competition scores of the users;
the game scoring mode is a timed counting or fixed number counting mode.
It should be noted that the present invention can be used for scoring in different ways, and the scoring mode of the specific game is a timed counting or fixed number counting mode. The mode of timing counting can be that the number of devices passed by the user or the number of actions is counted and scored within a certain time. The number of the components can be larger, and the number of the components can be smaller, and the number of the components can be higher, and the components can be set by a person skilled in the art according to actual needs. For example, the number of the piles wound by the user can be set, and in this mode, the score is higher when the number of the piles wound is larger in a certain time. The fixed number and timing mode can be that the time is counted after the user passes through the fixed number of equipment or finishes the fixed number of actions, and the scoring is carried out according to the time. For example, if the user spends 50 seconds after 10 stakes, the conversion score is 60 points; the user 40 seconds after the user passes 10 stakes, the conversion score is 80 points.
According to the embodiment of the invention, the position of the user, the coordinates of the sensor, the driving track of the user and the gradient of the snow blanket are calculated and recorded in a three-dimensional coordinate mode. The three-dimensional coordinates may be established by three xyz axes.
First, a three-dimensional coordinate system is established, and uniform xyz coordinates can be established in a predetermined area. Then, according to the data, position and angle information of each sensor, the position of the user can be calculated and mapped to a coordinate system to obtain corresponding coordinate values. Since the time point information is also acquired, the motion trajectory can be generated by the coordinate values and the time points. And obtaining motion state data through the motion trail. The motion state data may include information about the user's stride frequency, speed, orientation, etc.
According to the embodiment of the invention, the method further comprises the following steps:
acquiring the position information of each sensor in other types;
analyzing the optimal adjustment position of each sensor of other types according to the pre-operation track of the user to generate optimal adjustment position information;
and sending the optimal adjustment position information to an adjusting device to adjust the position of each other sensor.
It should be noted that other sensors, such as a correlation sensor, a laser sensor, a switch sensor, etc., are often present in snowsimulators. In order to more accurately acquire the position of the user, other sensors are required to work in a cooperative manner, so that the position of other sensors can be adjusted according to the data of the sonar sensors. First, position information is obtained for each of the other sensor categories, e.g., how far and how far the correlation sensor is on either side of the snow blanket, how far and how high the laser sensor is, etc. And then analyzing the optimal adjustment position of each sensor in other categories according to the pre-operation track of the user to generate optimal adjustment position information. And sending the optimal adjustment position information to an adjusting device to adjust the position of each other sensor. Through the analysis to the orbit of moving in advance, can make other sensors adjust in advance to make every sensor can both be in the best position and the angle carries out the collection of data to the user, can let the data of match more accurate, improved user and used the experience and felt.
According to the embodiment of the invention, the analyzing the action track of the user according to the collected data specifically comprises the following steps:
establishing a space coordinate system based on the standard position;
and acquiring the included angle information of each sonar sensor, analyzing the included angle information and the acquired data, and calculating the spatial coordinate value of the user to obtain the action track.
When the action trajectory analysis is performed, the analysis may be performed by using a three-dimensional space coordinate system established, and a coordinate system of the xyz axis may be established based on the standard position as the origin. The standard position may be set according to actual needs, for example, a middle point of a snow blanket of the snowmaking simulator may be used as an origin, or a boundary point between one of the pillars and the snow blanket may be used as an origin. And then acquiring the included angle information of each sonar sensor, analyzing the included angle information and the acquired data, and calculating the spatial coordinate value of the user. The distance and the angle between the sonar sensor and the user can be calculated through the acquired included angle of the sonar sensor and the acquired data, so that the position point location of the user can be obtained, the position point location is identified by adopting space coordinates, and a motion track is formed after point tracing is carried out for time.
According to the embodiment of the invention, the pre-operation track of the user is analyzed according to the action track and the competition content information, and the method specifically comprises the following steps:
acquiring a standard running track corresponding to the competition content information;
comparing the action track of the user with the standard running track to obtain the track deviation;
judging whether the track deviation degree is smaller than a preset deviation degree threshold value or not;
if the standard running track is smaller than the preset running track, taking the standard running track as the preset running track of the user; and if not, taking the first mode track as the pre-running track of the user.
It should be noted that, the acquired game content information corresponds to a standard motion trajectory, and the standard motion trajectory is used for determining the score of the game. After comparing the action trajectory of the user with the standard running trajectory, the trajectory deviation degree may be acquired. A higher degree of deviation indicates a greater deviation of the standard trajectory of the user from the game. And a deviation threshold value is preset in the deviation degree, and whether the deviation degree of the track is smaller than the preset deviation threshold value is judged. If the standard running track is smaller than the preset running track, taking the standard running track as the preset running track of the user; and if not, taking the first mode track as the pre-running track of the user. By the judgment of the pre-operation track, the pre-operation track of the user can be determined more quickly.
According to an embodiment of the present invention, the first mode trajectory is:
inputting the motion trail into a trail neural network model;
and outputting to obtain a predicted motion track, wherein the predicted motion track is a first mode track.
It should be noted that the first pattern is a trajectory calculated by a neural network model, the neural network model is a model trained in advance, and when predicting, only data input is needed, and the output is the first pattern trajectory.
The training method of the trajectory neural network model specifically comprises the following steps:
collecting historical track samples of a plurality of users to obtain first sample data;
performing feature extraction on the first sample data to obtain feature sample data;
and analyzing the feature sample data, and selecting the feature sample data with high similarity to train the trajectory neural network model.
It should be noted that training of the neural network model requires a large amount of historical data, so that historical trajectory samples of different users need to be collected in an early stage of training to obtain first sample data. And then, extracting the characteristics of the samples to obtain characteristic sample data. And comparing the characteristic sample data because the characteristics of different samples are different, and selecting the characteristic sample data with high similarity to train the trajectory neural network model. That is to say, the trajectory neural network model has a plurality of prediction models with different characteristics, and after the current user trajectory data is input, the prediction models are classified in the models, and then the pre-operation trajectory data of the corresponding category is obtained as the pre-operation trajectory data of the user.
It should be noted that, the present invention further includes a data center, which records the event information filtered by the information processing center, and records the entry information of the competitor: the age, sex, learning information, the region to which the competition belongs and the like can generate various data reports according to the data analysis requirements, such as a current or current competition data report, a competition data report of different regions, a comprehensive competition data report of competitors and the like. It is worth mentioning that the data center can collect the scarce comprehensive competition data in the skiing industry, and can provide more targeted data analysis and learning promotion suggestions for each contestant by combining the big data, the competition scores of the individual contestants and other information.
The third aspect of the present invention further provides a computer-readable storage medium, where the computer-readable storage medium includes a program of a method for acquiring ski match data based on a sonar sensor, and when the program of the method for acquiring ski match data based on a sonar sensor is executed by a processor, the steps of the method for acquiring ski match data based on a sonar sensor as described in any one of the above are implemented.
According to the skiing competition data acquisition method and system based on the sonar sensor and the readable storage medium, the acquired data of the sonar sensor is used for analyzing the track of a user, the angle of the sonar sensor is adjusted by predicting the track of the user, and the angle of the sonar sensor is adjusted, so that the data of the user is acquired more accurately. The track prediction method and the track prediction device further analyze the track of the user through the game content information, further predict the track of the user by adopting a track neural network model, enable the track prediction to be more accurate, adjust the angle of the sonar sensor through the accurate track position, enable the acquired information to be more accurate, and enable the score of the game to be more accurate and reliable.
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 capable of storing 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 (5)
1. A skiing competition data acquisition method based on sonar sensors is characterized by comprising the following steps:
acquiring data and match content information acquired by each sonar sensor;
analyzing the action track of the user according to the collected data;
analyzing the pre-operation track of the user according to the action track and the competition content information;
generating a competition score and sonar sensor angle adjusting information according to the pre-running track;
sending the angle adjusting information to an adjusting device to adjust the angle of each sonar sensor;
sending the competition score to a display end for displaying;
analyzing the pre-operation track of the user according to the action track and the competition content information, specifically:
acquiring a standard running track corresponding to the competition content information;
comparing the action track of the user with the standard running track to obtain the track deviation;
judging whether the track deviation degree is smaller than a preset deviation degree threshold value or not;
if the standard running track is smaller than the preset running track, taking the standard running track as the preset running track of the user; if not, taking the first mode track as a pre-running track of the user;
the first mode trajectory is:
inputting the action track into a track neural network model;
outputting to obtain a predicted motion track, wherein the predicted motion track is a first mode track;
the training method of the trajectory neural network model specifically comprises the following steps:
collecting historical track samples of a plurality of users to obtain first sample data;
performing feature extraction on the first sample data to obtain feature sample data;
analyzing the feature sample data, and selecting the feature sample data with high similarity to train the trajectory neural network model;
further comprising:
acquiring the position information of each sensor in other categories;
analyzing the optimal adjustment position of each sensor of other types according to the pre-operation track of the user to generate optimal adjustment position information;
and sending the optimal adjustment position information to an adjusting device to adjust the position of each other sensor.
2. The method for acquiring the data of the ski competition based on the sonar sensor according to claim 1, wherein the action track of the user is analyzed according to the acquired data, and specifically comprises the following steps:
establishing a space coordinate system based on the standard position;
and acquiring the included angle information of each sonar sensor, analyzing the included angle information and the acquired data, and calculating the spatial coordinate value of the user to obtain the action track.
3. A skiing competition data acquisition system based on sonar sensors is characterized by comprising a memory and a processor, wherein the memory comprises a skiing competition data acquisition method program based on sonar sensors, and the skiing competition data acquisition method program based on sonar sensors realizes the following steps when being executed by the processor:
acquiring data and match content information acquired by each sonar sensor;
analyzing the action track of the user according to the collected data;
analyzing the pre-operation track of the user according to the action track and the competition content information;
generating a competition score and sonar sensor angle adjusting information according to the pre-running track;
sending the angle adjusting information to an adjusting device to adjust the angle of each sonar sensor;
sending the competition score to a display end for displaying;
analyzing the pre-operation track of the user according to the action track and the competition content information, specifically:
acquiring a standard running track corresponding to the competition content information;
comparing the action track of the user with the standard running track to obtain the track deviation;
judging whether the track deviation degree is smaller than a preset deviation degree threshold value or not;
if the standard running track is smaller than the preset running track, taking the standard running track as the preset running track of the user; if not, taking the first mode track as a pre-running track of the user;
the first mode trajectory is:
inputting the action track into a track neural network model;
outputting to obtain a predicted motion track, wherein the predicted motion track is a first mode track;
the training method of the trajectory neural network model specifically comprises the following steps:
collecting historical track samples of a plurality of users to obtain first sample data;
performing feature extraction on the first sample data to obtain feature sample data;
analyzing the feature sample data, and selecting the feature sample data with high similarity to train the trajectory neural network model;
further comprising:
acquiring the position information of each sensor in other types;
analyzing the optimal adjustment position of each sensor of other types according to the pre-operation track of the user to generate optimal adjustment position information;
and sending the optimal adjustment position information to an adjusting device to adjust the position of each other sensor.
4. A system for acquiring skiing competition data based on sonar sensors according to claim 3, wherein the action track of the user is analyzed according to the acquired data, specifically:
establishing a space coordinate system based on the standard position;
and acquiring the included angle information of each sonar sensor, analyzing the included angle information and the acquired data, and calculating the spatial coordinate value of the user to obtain the action track.
5. A computer-readable storage medium, wherein the computer-readable storage medium includes a program of a sonar sensor-based ski match data acquisition method, and when the program of the sonar sensor-based ski match data acquisition method is executed by a processor, the steps of the sonar sensor-based ski match data acquisition method according to any one of claims 1 to 2 are implemented.
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