CN119689510B - Motion trail display method, system and medium based on Beidou positioning - Google Patents
Motion trail display method, system and medium based on Beidou positioning Download PDFInfo
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Abstract
The application provides a motion trail display method, a motion trail display system and a motion trail display medium based on Beidou positioning. The method comprises the steps of obtaining real-time positioning position data and positioning time data received by intelligent wearable equipment, processing the positioning time data to obtain effective positioning time data and corresponding effective real-time positioning position data, calculating to obtain positioning position deviation data, comparing thresholds to obtain positioning difference states, obtaining positioning parameters according to the positioning difference states, processing and comparing to obtain effective positioning position data, processing the real-time motion state data and the effective positioning position data to obtain fusion position data, marking the fusion position data in an intelligent wearable equipment motion coordinate system to obtain a motion track and displaying the motion track, and therefore achieving the technology of obtaining the motion track and displaying through judgment of the effective positioning time data and the positioning difference states and calculation of the effective positioning position data.
Description
Technical Field
The application relates to the field of positioning, in particular to a motion trail display method, a motion trail display system and a motion trail display medium based on Beidou positioning.
Background
Because the intelligent wearable device can monitor the motion data of the user, such as the motion distance, the motion speed and the like, the application of the intelligent wearable device is wider and wider. The equipment can monitor motion data in real time, mainly based on a positioning technology, a positioning system mainly relates to GPS positioning and Beidou positioning, and the Beidou positioning system is used as a satellite navigation system independently researched and developed in China, so that the application of the Beidou positioning system in intelligent wearable equipment is gradually increased in recent years. The Beidou positioning system has the advantages of high precision, high reliability and the like, and provides richer positioning choices for intelligent wearable equipment. However, whether based on the Beidou positioning system or other positioning modes such as GPS, the display of the motion trail still has some problems at present. For example, the display is not accurate enough, the positioning data have deviation, so that the motion trail is not accurate, and the display interface is often at the APP end, so that the user is difficult to quickly and comprehensively know the motion trail condition of the user, and the user experience is greatly influenced.
In view of the above problems, an effective technical solution is currently needed.
Disclosure of Invention
The application aims to provide a motion trail display method, a motion trail display system and a motion trail display medium based on Beidou positioning, which can realize the technology of obtaining and displaying a motion trail through judging effective positioning time data and positioning difference states and calculating effective positioning position data.
The application also provides a motion trail display method based on Beidou positioning, which comprises the following steps:
acquiring positioning information received by intelligent wearable equipment, wherein the positioning information comprises real-time positioning position data and positioning time data;
Obtaining effective positioning time data according to the positioning time data processing, and obtaining corresponding effective real-time positioning position data according to the effective positioning time data;
obtaining positioning position deviation data according to effective real-time positioning position data processing, and comparing the positioning position deviation data with a preset positioning position deviation threshold value to obtain a positioning difference state;
obtaining positioning parameters according to the positioning difference state, processing according to the positioning parameters to obtain positioning effective indexes, and comparing the positioning effective indexes to obtain effective positioning position data;
Acquiring real-time motion state data of the intelligent wearable equipment, combining the real-time motion state data with effective positioning position data, and processing the effective positioning position data through a preset fusion position processing model to acquire fusion position data;
Labeling the fusion position data on a preset intelligent wearable device motion coordinate system, connecting the fusion position data to obtain a motion track, and sending the motion track to a display of the intelligent wearable device for displaying.
Optionally, in the motion trail display method based on beidou positioning according to the present application, the obtaining positioning information received by the intelligent wearable device includes positioning position data and positioning time data, and specifically includes:
acquiring positioning position data of a preset time interval period, wherein the positioning position data comprises first real-time positioning position data and second real-time positioning position data;
The first real-time positioning position data comprises first longitude data, first latitude data and first altitude data, and the second real-time positioning position data comprises second longitude data, second latitude data and second altitude data;
Acquiring positioning time data, including theoretical receiving time data and real-time receiving time data;
the real-time reception time data includes first real-time reception time data corresponding to the first real-time positioning position data and second real-time reception time data corresponding to the second real-time positioning position data.
Optionally, in the motion trail display method based on beidou positioning according to the present application, the obtaining effective positioning time data according to the positioning time data processing, and obtaining corresponding effective real-time positioning position data according to the effective positioning time data specifically includes:
subtracting theoretical receiving time data from the first real-time receiving time data, and dividing the theoretical receiving time data by preset time delay standard data to obtain a first delay time relative index;
Subtracting the theoretical receiving time data from the second real-time receiving time data, and dividing the theoretical receiving time data by preset time delay standard data to obtain a second delay time relative index;
Comparing the first delay time relative index and the second delay time relative index with a preset delay time relative index threshold value respectively to obtain real-time positioning time state data comprising effective positioning time data or ineffective positioning time data;
and acquiring real-time positioning position data corresponding to the effective positioning time data, and recording the real-time positioning position data as effective real-time positioning position data.
Optionally, in the motion trail display method based on beidou positioning according to the present application, the processing according to the effective real-time positioning position data obtains positioning position deviation data, and compares the positioning position deviation data with a preset positioning position deviation threshold value to obtain a positioning difference state, which specifically includes:
If the first real-time receiving time data and the second real-time receiving time data are effective positioning time data, inputting the effective first longitude data, the effective first latitude data, the effective first altitude data, the effective second longitude data, the effective second latitude data and the effective second altitude data into a preset positioning position deviation evaluation model for processing to obtain positioning position deviation data;
And comparing the positioning position deviation data with a preset positioning position deviation threshold value to obtain a positioning difference state, wherein the positioning difference state comprises a consistent state or an inconsistent state.
Optionally, in the motion trail display method based on beidou positioning according to the present application, the obtaining positioning parameters according to the positioning difference state, obtaining a positioning effective index according to positioning parameter processing, and comparing the positioning effective index to obtain effective positioning position data specifically includes:
If the positioning difference state is the consistent state, averaging the effective first longitude data and the effective second longitude data to obtain mean longitude data, averaging the effective first latitude data and the effective second latitude data to obtain mean latitude data, and averaging the effective first altitude data and the effective second altitude data to obtain mean altitude data;
taking the mean longitude data, the mean latitude data and the mean altitude data as effective positioning position data;
If the positioning difference state is an inconsistent state, positioning parameters including first signal intensity data, first satellite number and first signal stability data corresponding to effective first real-time positioning position data, second signal intensity data, second satellite number and second signal stability data corresponding to effective second real-time positioning position data are obtained;
Processing the first signal intensity data, the first satellite number and the first signal stability data through a preset positioning effective evaluation model to obtain a first positioning effective index;
Processing the second signal intensity data, the second satellite number and the second signal stability data through a preset positioning effective evaluation model to obtain a second positioning effective index;
And comparing the first positioning effective index with the second positioning effective index to obtain effective positioning position data.
Optionally, in the motion trail display method based on beidou positioning according to the present application, the acquiring real-time motion state data of the intelligent wearable device, combining the real-time motion state data with effective positioning position data, and processing the effective positioning position data through a preset fusion position processing model to obtain fusion position data specifically includes:
Acquiring real-time motion state data of intelligent wearable equipment, wherein the real-time motion state data comprises acceleration data, angular velocity data and direction data;
and combining the acceleration data, the angular velocity data and the direction data with the effective positioning position data, and processing the effective positioning position data through a preset position fusion processing model to obtain fusion position data.
In a second aspect, the application provides a motion trail display system based on Beidou positioning, which comprises a memory and a processor, wherein the memory comprises a garbage data recovery and solid state storage optimization method program, and the garbage data recovery and solid state storage optimization method program realizes the following steps when being executed by the processor:
acquiring positioning information received by intelligent wearable equipment, wherein the positioning information comprises real-time positioning position data and positioning time data;
Obtaining effective positioning time data according to the positioning time data processing, and obtaining corresponding effective real-time positioning position data according to the effective positioning time data;
obtaining positioning position deviation data according to effective real-time positioning position data processing, and comparing the positioning position deviation data with a preset positioning position deviation threshold value to obtain a positioning difference state;
obtaining positioning parameters according to the positioning difference state, processing according to the positioning parameters to obtain positioning effective indexes, and comparing the positioning effective indexes to obtain effective positioning position data;
Acquiring real-time motion state data of the intelligent wearable equipment, combining the real-time motion state data with effective positioning position data, and processing the effective positioning position data through a preset fusion position processing model to acquire fusion position data;
Labeling the fusion position data on a preset intelligent wearable device motion coordinate system, connecting the fusion position data to obtain a motion track, and sending the motion track to a display of the intelligent wearable device for displaying.
Optionally, in the motion trail display system based on Beidou positioning according to the present application, the obtaining positioning information received by the intelligent wearable device includes positioning position data and positioning time data, and specifically includes:
acquiring positioning position data of a preset time interval period, wherein the positioning position data comprises first real-time positioning position data and second real-time positioning position data;
The first real-time positioning position data comprises first longitude data, first latitude data and first altitude data, and the second real-time positioning position data comprises second longitude data, second latitude data and second altitude data;
Acquiring positioning time data, including theoretical receiving time data and real-time receiving time data;
the real-time reception time data includes first real-time reception time data corresponding to the first real-time positioning position data and second real-time reception time data corresponding to the second real-time positioning position data.
Optionally, in the motion trail display system based on beidou positioning according to the present application, effective positioning time data is obtained according to the positioning time data processing, and corresponding effective real-time positioning position data is obtained according to the effective positioning time data, which specifically includes:
subtracting theoretical receiving time data from the first real-time receiving time data, and dividing the theoretical receiving time data by preset time delay standard data to obtain a first delay time relative index;
Subtracting the theoretical receiving time data from the second real-time receiving time data, and dividing the theoretical receiving time data by preset time delay standard data to obtain a second delay time relative index;
Comparing the first delay time relative index and the second delay time relative index with a preset delay time relative index threshold value respectively to obtain real-time positioning time state data comprising effective positioning time data or ineffective positioning time data;
and acquiring real-time positioning position data corresponding to the effective positioning time data, and recording the real-time positioning position data as effective real-time positioning position data.
In a third aspect, the present application further provides a readable storage medium, where a motion trail display method program based on beidou positioning is stored, where when the motion trail display method program based on beidou positioning is executed by a processor, the steps of a beidou positioning-based motion trail display method according to any one of the above are implemented.
From the above, the motion trail display method, system and medium based on Beidou positioning provided by the application. According to the method, real-time positioning position data and positioning time data received by the intelligent wearable device are acquired, effective positioning time data are acquired according to positioning time data processing, corresponding effective real-time positioning position data are acquired, positioning position deviation data are calculated, threshold comparison is carried out, a positioning difference state is acquired, positioning parameters are acquired according to the positioning difference state, processing is carried out, comparison is carried out, effective positioning position data are acquired, fusion position data are acquired according to real-time motion state data and effective positioning position data processing, the fusion position data are marked in a motion coordinate system of the intelligent wearable device to acquire a motion track and display the motion track, and therefore the technology of acquiring the motion track and displaying is achieved through judgment of the effective positioning time data and the positioning difference state and calculation of the effective positioning position data.
Additional features and advantages of the application will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the application. The objectives and other advantages of the application may be realized and attained by the structure particularly pointed out in the written description and drawings.
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In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the embodiments of the present application will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and should not be considered as limiting the scope, and other related drawings can be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a flowchart of a motion trail display method based on Beidou positioning according to an embodiment of the present application;
fig. 2 is a flowchart of a motion trail display method based on Beidou positioning, provided by the embodiment of the application, for acquiring positioning position data and positioning time data;
fig. 3 is a flowchart of obtaining effective real-time positioning position data according to a motion trail display method based on Beidou positioning provided by an embodiment of the present application;
fig. 4 is a flowchart of a method for displaying motion trajectories based on Beidou positioning according to an embodiment of the present application to obtain a positioning difference state.
Detailed Description
The following description of the embodiments of the present application will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present application, but not all embodiments. The components of the embodiments of the present application generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the application, as presented in the figures, is not intended to limit the scope of the application, as claimed, but is merely representative of selected embodiments of the application. All other embodiments, which can be made by a person skilled in the art without making any inventive effort, are intended to be within the scope of the present application.
It should be noted that like reference numerals and letters refer to like items in the following figures, and thus once an item is defined in one figure, no further definition or explanation thereof is necessary in the following figures. Meanwhile, in the description of the present application, the terms "first", "second", and the like are used only to distinguish the description, and are not to be construed as indicating or implying relative importance.
Referring to fig. 1, fig. 1 is a flowchart of a motion trail display method based on beidou positioning according to some embodiments of the present application. The motion trail display method based on Beidou positioning is used in terminal equipment, such as computers, mobile phones and the like. The motion trail display method based on Beidou positioning comprises the following steps:
s11, positioning information received by intelligent wearable equipment is obtained, wherein the positioning information comprises real-time positioning position data and positioning time data;
s12, obtaining effective positioning time data according to the positioning time data processing, and obtaining corresponding effective real-time positioning position data according to the effective positioning time data;
S13, positioning position deviation data are obtained according to effective real-time positioning position data processing, and the positioning position deviation data are compared with a preset positioning position deviation threshold value to obtain a positioning difference state;
S14, acquiring positioning parameters according to the positioning difference state, processing according to the positioning parameters to obtain positioning effective indexes, and comparing the positioning effective indexes to obtain effective positioning position data;
S15, acquiring real-time motion state data of the intelligent wearable equipment, combining the real-time motion state data with effective positioning position data, and processing the effective positioning position data through a preset fusion position processing model to acquire fusion position data;
s16, marking the fusion position data on a preset intelligent wearing equipment motion coordinate system, connecting the fusion position data to obtain a motion track, and sending the motion track to a display of the intelligent wearing equipment for displaying.
It is to be noted that, the display of the motion trail of the intelligent wearable device is achieved according to the obtained positioning information, so that a positioning device is arranged in the intelligent device, in this embodiment, in order to improve the positioning accuracy, two different positioning systems such as Beidou positioning and GPS positioning are built in, real-time positioning position data and positioning time data received by the intelligent wearable device are in one-to-one correspondence, the real-time positioning position data and the positioning time data can be obtained according to a time interval period set by a user or the device, in the process of obtaining the positioning information by the intelligent wearable device, the situation that the positioning time is not updated timely possibly exists, the positioning data is inaccurate, but when the two positioning systems run simultaneously, the situation can be greatly reduced, after judging that the effective positioning time data is obtained, the effective real-time positioning position data corresponding to the time can be obtained, if one positioning system is effective, the effective real-time positioning position data can be obtained, no positioning position deviation exists in the state, if the two positioning systems are effective simultaneously, the two positioning systems can be obtained according to a threshold value comparison after the positioning position deviation data, the positioning difference state is obtained, the positioning data is obtained according to the difference state, the positioning parameter is obtained, the real-time position coordinate system is obtained, the motion coordinate system is obtained by fusing the real-time position coordinate system, the real-time position coordinate system is obtained, and the motion coordinate system is obtained by fusing the real-time positioning data, and the movement coordinate system is finally, and the data is displayed by the real-time position coordinate system.
Referring to fig. 2, fig. 2 is a flowchart of a motion trail display method for obtaining positioning position data and positioning time data based on beidou positioning according to an embodiment of the present application. According to an embodiment of the present application, the acquiring positioning information received by the smart wearable device includes positioning position data and positioning time data, and specifically includes:
s21, positioning position data of a preset time interval period is obtained, wherein the positioning position data comprises first real-time positioning position data and second real-time positioning position data;
S22, the first real-time positioning position data comprise first longitude data, first latitude data and first altitude data, and the second real-time positioning position data comprise second longitude data, second latitude data and second altitude data;
s23, acquiring positioning time data, including theoretical receiving time data and real-time receiving time data;
and S24, the real-time receiving time data comprises first real-time receiving time data corresponding to the first real-time positioning position data and second real-time receiving time data corresponding to the second real-time positioning position data.
It should be noted that, the positioning device in the intelligent wearable device may continuously acquire positioning position data at a fixed time interval, and in this embodiment, two positioning position data may be acquired simultaneously, so the positioning device is marked as first real-time positioning position data and second real-time positioning position data, where the first real-time positioning position data and the second real-time positioning position data have corresponding longitude data, latitude data and altitude data, and after the intelligent wearable device sets a fixed time interval, there is a time for theoretically receiving positioning information, and at the same time there is a corresponding real-time receiving time when actually receiving the positioning information.
Referring to fig. 3, fig. 3 is a flowchart of a motion trail display method based on beidou positioning according to an embodiment of the present application for obtaining effective real-time positioning position data. According to an embodiment of the present application, the obtaining valid positioning time data according to the positioning time data processing, and obtaining corresponding valid real-time positioning position data according to the valid positioning time data, specifically includes:
s31, subtracting theoretical receiving time data from the first real-time receiving time data, and dividing the theoretical receiving time data by preset time delay standard data to obtain a first delay time relative index;
s32, subtracting the theoretical receiving time data from the second real-time receiving time data, and dividing the theoretical receiving time data by preset time delay standard data to obtain a second delay time relative index;
S33, comparing the first delay time relative index and the second delay time relative index with a preset delay time relative index threshold value respectively to obtain real-time positioning time state data comprising effective positioning time data or ineffective positioning time data;
S34, acquiring real-time positioning position data corresponding to the effective positioning time data, and marking the real-time positioning position data as effective real-time positioning position data.
It is to be noted that if the real-time receiving time is later than the theoretical receiving time by a certain value, it is indicated that the time of the received signal is delayed, the updating of the positioning position data is not in time, the obtained difference is divided by the preset time delay standard data after the real-time receiving time data is subtracted by the theoretical receiving time data, the delay time relative index is obtained, the first delay time relative index and the second delay time relative index are obtained according to the logic, the real-time receiving time data is later than or equal to the theoretical receiving time data in the calculating process of the real-time receiving time data minus the theoretical receiving time data, the time closest to the theoretical receiving time data is compared with the first delay time relative index and the second delay time relative index respectively to the preset delay time relative index threshold, the real-time positioning time state data including the effective positioning time data or the ineffective positioning time data is obtained, the corresponding positioning time data is the effective positioning time data if the first delay time relative index is smaller than the delay time relative index threshold, the corresponding positioning data is the ineffective positioning time data if the first delay time relative index is larger than or equal to the delay time relative index threshold, and the second delay time relative index is equal to the effective positioning data is greater than the latitude data or equal to the effective positioning time index.
Referring to fig. 4, fig. 4 is a flowchart of a motion trail display method based on beidou positioning to obtain a positioning difference state according to an embodiment of the present application. According to an embodiment of the present application, the processing of the positioning position data in real time to obtain positioning position deviation data, and comparing the positioning position deviation data with a preset positioning position deviation threshold value to obtain a positioning difference state specifically includes:
s41, if the first real-time receiving time data and the second real-time receiving time data are effective positioning time data, inputting the effective first longitude data, the effective first latitude data, the effective first altitude data, the effective second longitude data, the effective second latitude data and the effective second altitude data into a preset positioning position deviation evaluation model for processing to obtain positioning position deviation data;
s42, comparing the positioning position deviation data with a preset positioning position deviation threshold value to obtain a positioning difference state, wherein the positioning difference state comprises a consistent state or an inconsistent state.
If one of the real-time receiving time data is the effective positioning time data, the effective real-time positioning position data corresponding to the effective positioning time data is unique, the effective real-time positioning position data is directly marked as the effective positioning position data, and the calculation formula of the positioning position deviation data in the positioning position deviation evaluation model is as follows:
;
Wherein, the In order to locate the positional deviation data,、、Respectively valid first longitude data, valid first latitude data and valid first altitude data,、、Valid second longitude data, valid second latitude data, valid second altitude data,、、Respectively preset characteristic coefficients (the characteristic coefficients are obtained by inquiring a preset motion trail display platform based on Beidou positioning);
And if the real-time receiving time data are all invalid positioning time data, marking the valid real-time positioning position data in the last fixed time interval period as valid positioning position data.
According to the embodiment of the invention, the method comprises the steps of obtaining the positioning parameters according to the positioning difference state, processing according to the positioning parameters to obtain the positioning effective index, and comparing the positioning effective index to obtain the effective positioning position data, wherein the method specifically comprises the following steps:
If the positioning difference state is the consistent state, averaging the effective first longitude data and the effective second longitude data to obtain mean longitude data, averaging the effective first latitude data and the effective second latitude data to obtain mean latitude data, and averaging the effective first altitude data and the effective second altitude data to obtain mean altitude data;
taking the mean longitude data, the mean latitude data and the mean altitude data as effective positioning position data;
If the positioning difference state is an inconsistent state, positioning parameters including first signal intensity data, first satellite number and first signal stability data corresponding to effective first real-time positioning position data, second signal intensity data, second satellite number and second signal stability data corresponding to effective second real-time positioning position data are obtained;
Processing the first signal intensity data, the first satellite number and the first signal stability data through a preset positioning effective evaluation model to obtain a first positioning effective index;
Processing the second signal intensity data, the second satellite number and the second signal stability data through a preset positioning effective evaluation model to obtain a second positioning effective index;
And comparing the first positioning effective index with the second positioning effective index to obtain effective positioning position data.
It should be noted that, in this embodiment, if the positioning difference state is an inconsistent state, it is indicated that the difference between the two positioning position data is larger, and it is necessary to determine which of the effective real-time positioning position data is more accurate, where the effective real-time positioning position data includes two effective first real-time positioning position data and effective second real-time positioning position data;
the calculation formula of the first positioning effective index is as follows:
;
Wherein, the For the first positioning of the effective index(s),、、The first signal strength data, the first satellite number and the first signal stability data,、、Respectively preset characteristic coefficients (the characteristic coefficients are obtained by inquiring a preset motion trail display platform based on Beidou positioning);
The calculation formula of the second positioning effective index is as follows:
;
Wherein, the For the second location availability index,、、The second signal strength data, the second satellite number and the second signal stability data,、、Respectively preset characteristic coefficients (the characteristic coefficients are obtained by inquiring a preset motion trail display platform based on Beidou positioning);
and comparing the sizes of the first positioning effective index and the second positioning effective index, and taking the larger one as effective positioning position data.
According to the embodiment of the invention, the acquiring real-time motion state data of the intelligent wearable device, combining the real-time motion state data with the effective positioning position data, and processing the effective positioning position data through a preset fusion position processing model to acquire fusion position data specifically comprises the following steps:
Acquiring real-time motion state data of intelligent wearable equipment, wherein the real-time motion state data comprises acceleration data, angular velocity data and direction data;
and combining the acceleration data, the angular velocity data and the direction data with the effective positioning position data, and processing the effective positioning position data through a preset position fusion processing model to obtain fusion position data.
It should be noted that, the intelligent wearable device is a motion process, acceleration data, angular velocity data and direction data are involved in the process, a smooth and accurate motion track cannot be obtained only according to positioning information, and a situation that an individual signal is lost may exist in the middle, so that fusion position data needs to be obtained through processing of a preset position fusion processing model according to the acceleration data, the angular velocity data, the direction data and the effective positioning position data, and the position fusion processing model is a calculation model obtained through training of a large amount of historical data.
It is worth mentioning that the method further comprises:
acquiring planned motion trail data of a user in a preset time period;
performing coincidence degree comparison on the planned motion trail data and the real-time motion trail data to obtain a coincidence degree index;
comparing the coincidence degree index with a preset route state evaluation threshold value to obtain a motion trail state;
extracting a first threshold value and a second threshold value according to the preset route state evaluation threshold value, wherein the first threshold value is larger than the second threshold value;
comparing the coincidence index with a first threshold value and a second threshold value;
if the coincidence degree index is larger than a first threshold value, the motion trail state is a normal state;
If the coincidence degree index is larger than the second threshold and smaller than or equal to the first threshold, the motion trail state is an abnormal state, and the intelligent wearing equipment sends out an abnormal prompt;
And if the coincidence degree index is smaller than or equal to the second threshold value, the motion trail state is an early warning state, and the intelligent wearable device sends out early warning and initiates a voice call with the management user at the same time.
It should be noted that the intelligent wearable device is widely applied to teenagers, parents can set motion trajectories of students in a student-to-school time period, such as motion trajectories of walking from school to home, when the coincidence degree index of the students is high, the students walk according to the established trajectories, in this embodiment, the route state evaluation threshold is set to (0.85,1), the motion trajectory state is a normal state, (0.6,0.85), the motion trajectory state is an abnormal state, the motion trajectory state is a [0,0.6], the motion trajectory state is an early warning state, and when the coincidence degree index is obtained by calculation, the motion trajectory state is a normal state.
It is worth mentioning that the method further comprises:
Acquiring motion parameters and standard parameters of different preset stages under a user motion trail, wherein the motion parameters comprise average heart rate data, average step frequency data and average speed data, and the standard parameters comprise standard heart rate data, standard step frequency data and standard speed data;
Inputting the average heart rate data, the average step frequency data, the average speed data, the standard heart rate data, the standard step frequency data and the standard speed data into a preset physical condition evaluation model for processing to obtain a physical condition index;
comparing the physical condition index with a preset physical condition evaluation threshold to obtain a physical condition;
Extracting a third threshold value and a fourth threshold value according to the preset physical state evaluation threshold value, wherein the third threshold value is larger than the fourth threshold value;
Comparing the body condition index to a third threshold and a fourth threshold;
If the physical condition index is greater than a third threshold, the physical condition is excellent;
if the physical condition index is greater than the fourth threshold and less than or equal to the third threshold, the physical state is a good state;
and if the physical condition index is less than or equal to the fourth threshold, the physical condition is a poor condition.
In the exercise process, the association situation between the activity condition and the physical condition of the track or the part of the track is sometimes understood, namely, the physical condition is known through the physical condition index, the smaller the physical condition index is, the closer the description is to the standard, the physical condition is more in line with the standard condition, in a certain range, the heart rate of a person is also faster along with the increase of the exercise step frequency and the faster of the exercise speed, the physical condition assessment model is a model obtained through training a large amount of historical data, the physical condition index can be obtained through calculation, in the embodiment, the physical condition assessment threshold is set and updated according to the data updated in the obtained historical exercise database, and the physical condition of the user can be displayed in stages in the exercise track, so that the user can know the physical condition of the user conveniently.
The invention also discloses a motion trail display system based on Beidou positioning, which comprises a memory and a processor, wherein the memory stores a motion trail display method program based on Beidou positioning, and the motion trail display method program based on Beidou positioning realizes the following steps when being executed by the processor:
acquiring positioning information received by intelligent wearable equipment, wherein the positioning information comprises real-time positioning position data and positioning time data;
Obtaining effective positioning time data according to the positioning time data processing, and obtaining corresponding effective real-time positioning position data according to the effective positioning time data;
obtaining positioning position deviation data according to effective real-time positioning position data processing, and comparing the positioning position deviation data with a preset positioning position deviation threshold value to obtain a positioning difference state;
obtaining positioning parameters according to the positioning difference state, processing according to the positioning parameters to obtain positioning effective indexes, and comparing the positioning effective indexes to obtain effective positioning position data;
Acquiring real-time motion state data of the intelligent wearable equipment, combining the real-time motion state data with effective positioning position data, and processing the effective positioning position data through a preset fusion position processing model to acquire fusion position data;
Labeling the fusion position data on a preset intelligent wearable device motion coordinate system, connecting the fusion position data to obtain a motion track, and sending the motion track to a display of the intelligent wearable device for displaying.
It is to be noted that, the display of the motion trail of the intelligent wearable device is achieved according to the obtained positioning information, so that a positioning device is arranged in the intelligent device, in this embodiment, in order to improve the positioning accuracy, two different positioning systems such as Beidou positioning and GPS positioning are built in, real-time positioning position data and positioning time data received by the intelligent wearable device are in one-to-one correspondence, the real-time positioning position data and the positioning time data can be obtained according to a time interval period set by a user or the device, in the process of obtaining the positioning information by the intelligent wearable device, the situation that the positioning time is not updated timely possibly exists, the positioning data is inaccurate, but when the two positioning systems run simultaneously, the situation can be greatly reduced, after judging that the effective positioning time data is obtained, the effective real-time positioning position data corresponding to the time can be obtained, if one positioning system is effective, the effective real-time positioning position data can be obtained, no positioning position deviation exists in the state, if the two positioning systems are effective simultaneously, the two positioning systems can be obtained according to a threshold value comparison after the positioning position deviation data, the positioning difference state is obtained, the positioning data is obtained according to the difference state, the positioning parameter is obtained, the real-time position coordinate system is obtained, the motion coordinate system is obtained by fusing the real-time position coordinate system, the real-time position coordinate system is obtained, and the motion coordinate system is obtained by fusing the real-time positioning data, and the movement coordinate system is finally, and the data is displayed by the real-time position coordinate system.
According to an embodiment of the present invention, the acquiring positioning information received by the smart wearable device includes positioning position data and positioning time data, and specifically includes:
acquiring positioning position data of a preset time interval period, wherein the positioning position data comprises first real-time positioning position data and second real-time positioning position data;
The first real-time positioning position data comprises first longitude data, first latitude data and first altitude data, and the second real-time positioning position data comprises second longitude data, second latitude data and second altitude data;
Acquiring positioning time data, including theoretical receiving time data and real-time receiving time data;
the real-time reception time data includes first real-time reception time data corresponding to the first real-time positioning position data and second real-time reception time data corresponding to the second real-time positioning position data.
It should be noted that, the positioning device in the intelligent wearable device may continuously acquire positioning position data at a fixed time interval, and in this embodiment, two positioning position data may be acquired simultaneously, so the positioning device is marked as first real-time positioning position data and second real-time positioning position data, where the first real-time positioning position data and the second real-time positioning position data have corresponding longitude data, latitude data and altitude data, and after the intelligent wearable device sets a fixed time interval, there is a time for theoretically receiving positioning information, and at the same time there is a corresponding real-time receiving time when actually receiving the positioning information.
According to an embodiment of the present invention, the obtaining valid positioning time data according to the positioning time data processing, and obtaining corresponding valid real-time positioning position data according to the valid positioning time data, specifically includes:
subtracting theoretical receiving time data from the first real-time receiving time data, and dividing the theoretical receiving time data by preset time delay standard data to obtain a first delay time relative index;
Subtracting the theoretical receiving time data from the second real-time receiving time data, and dividing the theoretical receiving time data by preset time delay standard data to obtain a second delay time relative index;
Comparing the first delay time relative index and the second delay time relative index with a preset delay time relative index threshold value respectively to obtain real-time positioning time state data comprising effective positioning time data or ineffective positioning time data;
and acquiring real-time positioning position data corresponding to the effective positioning time data, and recording the real-time positioning position data as effective real-time positioning position data.
It is to be noted that if the real-time receiving time is later than the theoretical receiving time by a certain value, it is indicated that the time of the received signal is delayed, the updating of the positioning position data is not in time, the obtained difference is divided by the preset time delay standard data after the real-time receiving time data is subtracted by the theoretical receiving time data, the delay time relative index is obtained, the first delay time relative index and the second delay time relative index are obtained according to the logic, the real-time receiving time data is later than or equal to the theoretical receiving time data in the calculating process of the real-time receiving time data minus the theoretical receiving time data, the time closest to the theoretical receiving time data is compared with the first delay time relative index and the second delay time relative index respectively to the preset delay time relative index threshold, the real-time positioning time state data including the effective positioning time data or the ineffective positioning time data is obtained, the corresponding positioning time data is the effective positioning time data if the first delay time relative index is smaller than the delay time relative index threshold, the corresponding positioning data is the ineffective positioning time data if the first delay time relative index is larger than or equal to the delay time relative index threshold, and the second delay time relative index is equal to the effective positioning data is greater than the latitude data or equal to the effective positioning time index.
According to an embodiment of the present invention, the processing of the positioning position data in real time to obtain positioning position deviation data, and comparing the positioning position deviation data with a preset positioning position deviation threshold value to obtain a positioning difference state specifically includes:
If the first real-time receiving time data and the second real-time receiving time data are effective positioning time data, inputting the effective first longitude data, the effective first latitude data, the effective first altitude data, the effective second longitude data, the effective second latitude data and the effective second altitude data into a preset positioning position deviation evaluation model for processing to obtain positioning position deviation data;
And comparing the positioning position deviation data with a preset positioning position deviation threshold value to obtain a positioning difference state, wherein the positioning difference state comprises a consistent state or an inconsistent state.
If one of the real-time receiving time data is the effective positioning time data, the effective real-time positioning position data corresponding to the effective positioning time data is unique, the effective real-time positioning position data is directly marked as the effective positioning position data, and the calculation formula of the positioning position deviation data in the positioning position deviation evaluation model is as follows:
;
Wherein, the In order to locate the positional deviation data,、、Respectively valid first longitude data, valid first latitude data and valid first altitude data,、、Valid second longitude data, valid second latitude data, valid second altitude data,、、Respectively preset characteristic coefficients (the characteristic coefficients are obtained by inquiring a preset motion trail display platform based on Beidou positioning);
And if the real-time receiving time data are all invalid positioning time data, marking the valid real-time positioning position data in the last fixed time interval period as valid positioning position data.
According to the embodiment of the invention, the method comprises the steps of obtaining the positioning parameters according to the positioning difference state, processing according to the positioning parameters to obtain the positioning effective index, and comparing the positioning effective index to obtain the effective positioning position data, wherein the method specifically comprises the following steps:
If the positioning difference state is the consistent state, averaging the effective first longitude data and the effective second longitude data to obtain mean longitude data, averaging the effective first latitude data and the effective second latitude data to obtain mean latitude data, and averaging the effective first altitude data and the effective second altitude data to obtain mean altitude data;
taking the mean longitude data, the mean latitude data and the mean altitude data as effective positioning position data;
If the positioning difference state is an inconsistent state, positioning parameters including first signal intensity data, first satellite number and first signal stability data corresponding to effective first real-time positioning position data, second signal intensity data, second satellite number and second signal stability data corresponding to effective second real-time positioning position data are obtained;
Processing the first signal intensity data, the first satellite number and the first signal stability data through a preset positioning effective evaluation model to obtain a first positioning effective index;
Processing the second signal intensity data, the second satellite number and the second signal stability data through a preset positioning effective evaluation model to obtain a second positioning effective index;
And comparing the first positioning effective index with the second positioning effective index to obtain effective positioning position data.
It should be noted that, in this embodiment, if the positioning difference state is an inconsistent state, it is indicated that the difference between the two positioning position data is larger, and it is necessary to determine which of the effective real-time positioning position data is more accurate, where the effective real-time positioning position data includes two effective first real-time positioning position data and effective second real-time positioning position data;
the calculation formula of the first positioning effective index is as follows:
;
Wherein, the For the first positioning of the effective index(s),、、The first signal strength data, the first satellite number and the first signal stability data,、、Respectively preset characteristic coefficients (the characteristic coefficients are obtained by inquiring a preset motion trail display platform based on Beidou positioning);
The calculation formula of the second positioning effective index is as follows:
;
Wherein, the For the second location availability index,、、The second signal strength data, the second satellite number and the second signal stability data,、、Respectively preset characteristic coefficients (the characteristic coefficients are obtained by inquiring a preset motion trail display platform based on Beidou positioning);
and comparing the sizes of the first positioning effective index and the second positioning effective index, and taking the larger one as effective positioning position data.
According to the embodiment of the invention, the acquiring real-time motion state data of the intelligent wearable device, combining the real-time motion state data with the effective positioning position data, and processing the effective positioning position data through a preset fusion position processing model to acquire fusion position data specifically comprises the following steps:
Acquiring real-time motion state data of intelligent wearable equipment, wherein the real-time motion state data comprises acceleration data, angular velocity data and direction data;
and combining the acceleration data, the angular velocity data and the direction data with the effective positioning position data, and processing the effective positioning position data through a preset position fusion processing model to obtain fusion position data.
It should be noted that, the intelligent wearable device is a motion process, acceleration data, angular velocity data and direction data are involved in the process, a smooth and accurate motion track cannot be obtained only according to positioning information, and a situation that an individual signal is lost may exist in the middle, so that fusion position data needs to be obtained through processing of a preset position fusion processing model according to the acceleration data, the angular velocity data, the direction data and the effective positioning position data, and the position fusion processing model is a calculation model obtained through training of a large amount of historical data.
It is worth mentioning that the method further comprises:
acquiring planned motion trail data of a user in a preset time period;
performing coincidence degree comparison on the planned motion trail data and the real-time motion trail data to obtain a coincidence degree index;
comparing the coincidence degree index with a preset route state evaluation threshold value to obtain a motion trail state;
extracting a first threshold value and a second threshold value according to the preset route state evaluation threshold value, wherein the first threshold value is larger than the second threshold value;
comparing the coincidence index with a first threshold value and a second threshold value;
if the coincidence degree index is larger than a first threshold value, the motion trail state is a normal state;
If the coincidence degree index is larger than the second threshold and smaller than or equal to the first threshold, the motion trail state is an abnormal state, and the intelligent wearing equipment sends out an abnormal prompt;
And if the coincidence degree index is smaller than or equal to the second threshold value, the motion trail state is an early warning state, and the intelligent wearable device sends out early warning and initiates a voice call with the management user at the same time.
It should be noted that the intelligent wearable device is widely applied to teenagers, parents can set motion trajectories of students in a student-to-school time period, such as motion trajectories of walking from school to home, when the coincidence degree index of the students is high, the students walk according to the established trajectories, in this embodiment, the route state evaluation threshold is set to (0.85,1), the motion trajectory state is a normal state, (0.6,0.85), the motion trajectory state is an abnormal state, the motion trajectory state is a [0,0.6], the motion trajectory state is an early warning state, and when the coincidence degree index is obtained by calculation, the motion trajectory state is a normal state.
It is worth mentioning that the method further comprises:
Acquiring motion parameters and standard parameters of different preset stages under a user motion trail, wherein the motion parameters comprise average heart rate data, average step frequency data and average speed data, and the standard parameters comprise standard heart rate data, standard step frequency data and standard speed data;
Inputting the average heart rate data, the average step frequency data, the average speed data, the standard heart rate data, the standard step frequency data and the standard speed data into a preset physical condition evaluation model for processing to obtain a physical condition index;
comparing the physical condition index with a preset physical condition evaluation threshold to obtain a physical condition;
Extracting a third threshold value and a fourth threshold value according to the preset physical state evaluation threshold value, wherein the third threshold value is larger than the fourth threshold value;
Comparing the body condition index to a third threshold and a fourth threshold;
If the physical condition index is greater than a third threshold, the physical condition is excellent;
if the physical condition index is greater than the fourth threshold and less than or equal to the third threshold, the physical state is a good state;
and if the physical condition index is less than or equal to the fourth threshold, the physical condition is a poor condition.
In the exercise process, the association situation between the activity condition and the physical condition of the track or the part of the track is sometimes understood, namely, the physical condition is known through the physical condition index, the smaller the physical condition index is, the closer the description is to the standard, the physical condition is more in line with the standard condition, in a certain range, the heart rate of a person is also faster along with the increase of the exercise step frequency and the faster of the exercise speed, the physical condition assessment model is a model obtained through training a large amount of historical data, the physical condition index can be obtained through calculation, in the embodiment, the physical condition assessment threshold is set and updated according to the data updated in the obtained historical exercise database, and the physical condition of the user can be displayed in stages in the exercise track, so that the user can know the physical condition of the user conveniently.
The third aspect of the present invention provides a readable storage medium, where the readable storage medium includes a motion trail display method program based on beidou positioning, and when the motion trail display method program based on beidou positioning is executed by a processor, the steps of a motion trail display method based on beidou positioning are implemented.
The invention discloses a motion trail display method, a system and a medium based on Beidou positioning, which are characterized in that real-time positioning position data and positioning time data received by intelligent wearable equipment are obtained, effective positioning time data are obtained through processing according to the positioning time data, corresponding effective real-time positioning position data are obtained, positioning position deviation data are obtained through calculation, a threshold value is compared, a positioning difference state is obtained, positioning parameters are obtained through processing according to the positioning difference state, effective positioning position data are obtained through comparison, fusion position data are obtained through processing according to the real-time motion state data and the effective positioning position data, the fusion position data are marked in a motion coordinate system of the intelligent wearable equipment to obtain and display a motion trail, and therefore the technology of obtaining and displaying the motion trail is realized through judgment of the effective positioning time data and the positioning difference state and calculation of the effective positioning position data.
In the several embodiments provided by the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units is merely a logical function division, and there may be additional divisions of actual implementation, such as multiple units or components may be combined or integrated into another system, or some features may be omitted or not performed. In addition, the various components shown or discussed may be coupled or directly coupled or communicatively coupled to each other via some interface, whether indirectly coupled or communicatively coupled to devices or units, whether electrically, mechanically, or otherwise.
The units described as separate components may or may not be physically separate, and components displayed as units may or may not be physical units, may be located in one place or distributed on a plurality of network units, and may select some or all of the units according to actual needs to achieve the purpose of the embodiment.
In addition, each functional unit in each embodiment of the present invention may be integrated in one processing unit, or each unit may be separately used as a unit, or two or more units may be integrated in one unit, where the integrated units may be implemented in a form of hardware or a form of hardware plus a form of software functional unit.
It will be appreciated by those of ordinary skill in the art that implementing all or part of the steps of the above method embodiments may be implemented by hardware associated with program instructions, where the above program may be stored in a readable storage medium, where the program when executed performs the steps comprising the above method embodiments, where the above storage medium includes various media that may store program code, such as a removable storage device, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk, or an optical disk.
Or the above-described integrated units of the invention may be stored in a readable storage medium if implemented in the form of software functional modules and sold or used as separate products. Based on such understanding, the technical solution of the embodiments of the present invention may be embodied in essence or a part contributing to the prior art in the form of a software product stored in a storage medium, including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the methods described in the embodiments of the present invention. The storage medium includes various media capable of storing program codes such as a removable storage device, a ROM, a RAM, a magnetic disk or an optical disk.
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| JP6593879B2 (en) * | 2016-03-24 | 2019-10-23 | 日本電気株式会社 | Satellite positioning system, positioning terminal, positioning method, and program |
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| WO2024261912A1 (en) * | 2023-06-21 | 2024-12-26 | 日本電信電話株式会社 | Reception device, reception method, and program |
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