CN115950430A - Personnel action track analysis method and system - Google Patents
Personnel action track analysis method and system Download PDFInfo
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- CN115950430A CN115950430A CN202211732412.5A CN202211732412A CN115950430A CN 115950430 A CN115950430 A CN 115950430A CN 202211732412 A CN202211732412 A CN 202211732412A CN 115950430 A CN115950430 A CN 115950430A
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Abstract
The application provides a personnel action track analysis method and a system, wherein the method comprises the steps of obtaining personnel initial information and personnel target information; calculating personnel track information according to the personnel starting information and the personnel target information; acquiring the direction information of the personnel; correcting the personnel track information according to the personnel azimuth information; generating a virtual visual model according to the corrected personnel track information; and sending the virtual visual model to an intelligent terminal of a worker. Firstly, staff track information is planned for the first time through staff starting information and staff target information, the staff track information is corrected through staff position information, finally, a virtual visual model is generated through the corrected staff track information and is sent to an intelligent terminal of a worker, the staff track information can be corrected in time in an area with excellent indoor signals due to the fact that the staff position information is updated in real time, and therefore the matching degree of the theoretical action track of the staff and the action track of actual staff is improved.
Description
Technical Field
The present application relates to the field of trajectory analysis technologies, and in particular, to a method and a system for analyzing a trajectory of a person.
Background
A common method for analyzing the action track of a person is map positioning, and the map positioning mainly comprises the methods of GPS positioning, beidou positioning, base station status, wiFi positioning and the like; the GPS positioning is the most common and has the advantages of good signal, high positioning precision, wide application scale and the like; the Beidou positioning and the GPS positioning are similar in mode, and both have the problem of weak signal penetration capability; the positioning of the base stations is limited by the number of the base stations, and the positioning is accurate when the number of the base stations is large, and the positioning is inaccurate when the number of the base stations is small; wiFi positioning is limited to WiFi coverage; bluetooth positioning is also limited by the general use of bluetooth coverage indoors.
In the process of the existing personnel trajectory analysis, the inventor finds that at least the following problems exist: due to indoor signal shielding, the position of a person cannot be accurately positioned due to poor indoor signal penetration capability in the existing person track analysis process, and the theoretical action track of the person is not matched with the action track of an actual person.
Disclosure of Invention
The embodiment of the application provides a personnel action track analysis method and a personnel action track analysis system, which are used for solving the technical problem that in the existing personnel track analysis process, due to indoor signal shielding, the position of a person cannot be accurately positioned due to poor indoor signal penetration capacity, and the theoretical action track of the person is not matched with the action track of an actual person.
In a first aspect, the present application provides a method for analyzing a trajectory of a person, including obtaining person start information and person destination information;
calculating personnel track information according to the personnel starting information and the personnel target information;
judging whether the current position information of the personnel and/or the position information before the personnel position signal weakens or disappears can be obtained;
if the current position information of the personnel can be directly obtained, correcting the trajectory information of the personnel according to the current position information of the personnel;
if the current position information of the personnel cannot be directly acquired, the position information before the personnel position signal weakens or the personnel position signal disappears is used as the current position information of the personnel, and the trajectory information of the personnel is corrected;
generating a virtual visual model according to the corrected personnel track information;
and sending the virtual visual model to an intelligent terminal of a worker.
Through the technical scheme, firstly, the personnel track information is planned for the first time through the personnel starting information and the personnel target information, the personnel track information is corrected through the personnel azimuth information, finally, the corrected personnel track information is generated into the virtual visual model and is sent to the intelligent terminal of the worker, because the personnel azimuth information is updated in real time, the personnel track information can be corrected in time in an excellent area of an indoor signal, the current azimuth information of the personnel which cannot be updated in time can be used as a reference through the azimuth signal before the personnel azimuth signal becomes weak or disappears, and therefore the matching degree of the theoretical action track of the personnel and the action track of the actual personnel is improved.
In some specific possible embodiments, if the current position information of the person cannot be directly obtained, the step of using the position information before the weakening of the person position signal or the disappearance of the person position signal as the current position information of the person further includes:
calling a weak signal area database, traversing the specific weak signal place units recorded in the weak signal area database, searching and determining the direction of the weak signal place unit closest to the direction position before the obtained direction signal of the person weakens or the person direction signal disappears as the current direction information of the person, and correcting the trajectory information of the person.
Through the technical scheme, the personnel azimuth information is directly guessed in a weak signal area database mode, so that the personnel azimuth information after disappearance is quickly and conveniently determined, and the matching degree of the theoretical action track of the personnel and the action track of the actual personnel is further improved.
In some specific possible embodiments, the correcting the person trajectory information according to the person position information includes:
calculating the distance between the personnel position information and the personnel track information and setting the distance as a signal deviation distance;
if the signal deviation distance is larger than a preset critical deviation range, calculating the distance between the personnel azimuth information and other personnel track schemes and setting the distance as other deviation distances;
and if the other deviation distances are within the preset critical deviation range, replacing the personnel track information with other personnel track schemes.
Through the technical scheme, the personnel track information can be timely corrected by calculating the signal deviation distance, and when a preset theoretical track is changed in the action process of personnel, the system can still timely adjust the personnel track information through the planned personnel track scheme, so that the matching degree of the theoretical action track of the personnel and the action track of actual personnel is improved.
In some specific implementation schemes, if all other deviation distances are larger than a preset critical deviation range, inquiring junction connection roads in the preset range according to the direction information of the personnel;
judging whether the personnel azimuth information is located in a preset critical passing range of the junction connection road;
if the personnel orientation information is located in a preset critical passing range of the junction connection road, setting the corresponding junction connection road as a key track node;
and correcting the personnel track information according to the key track node.
According to the technical scheme, when other track information is larger than the preset critical deviation range, the junction connection road is directly screened, the track trend possibly existing in the current personnel position is judged according to the relation between the personnel position information and the junction connection road, and then whether the personnel track information needs to be corrected or not is judged.
In some specific possible embodiments, the selecting, as the person trajectory information, the one having the shortest trajectory time information includes:
arranging the track time information in a descending order according to the length;
acquiring historical track information in a historical track library, wherein different initial and final personnel information and historical track information corresponding to the initial and final personnel information are stored in the historical track library, and the initial and final personnel information comprises historical initial information and historical target information;
judging whether the personnel track information is matched with the historical track information;
and if the personnel track information is matched with the historical track information, setting the historical track information as the personnel track information.
Through the technical scheme, the relation between the historical track information and the personnel track information is compared, so that whether the current personnel track information accords with the travel habit information of the current personnel is deduced, the current personnel track information is predicted according to the travel habits stored by the travel personnel, and the capability of automatically recovering the personnel track information by the system when the personnel track information is abnormal is also improved.
In some specific possible embodiments, the setting the historical track information as the person track information includes:
when the personnel track information is matched with the historical track information, acquiring the personnel position information;
judging whether the personnel azimuth information is within a critical deviation range of preset historical track information;
if the personnel azimuth information is outside the critical deviation range of the preset historical track information, the historical track information is cancelled to be set as the personnel track information;
otherwise, setting the historical track information as the personnel track information.
Through the technical scheme, under the condition that the personnel track information is deviated, the personnel azimuth information and the historical track information are matched and compared, the influence of accidental factors caused by factors such as coincidence is reduced, and the reasonability of the personnel track information calculated by the system based on the historical track information is further improved.
In some specific possible embodiments, the generating a virtual visual model according to the modified person trajectory information includes:
obtaining model picture information;
acquiring corresponding key picture information according to the personnel orientation information, wherein the key picture information is picture information corresponding to high-frequency words corresponding to the personnel orientation information;
judging whether the model picture information is matched with the key picture information;
if not, canceling the generation of a virtual visual model according to the corrected personnel track information;
otherwise, generating a virtual visual model according to the corrected personnel track information.
Through the technical scheme, the key picture information of the relevant area is inquired according to the personnel position information, and the key picture information is compared according to the virtual visual model, so that the system can verify whether the generated virtual visual model is reasonable or not through the key picture information, and the matching degree of the virtual visual model and the personnel position information is further improved.
In a second aspect, the present application further provides a system for performing the method of the first aspect, including:
a personnel information obtaining module 201, configured to obtain personnel initial information and personnel destination information;
the personnel trajectory calculation module 202 is used for calculating personnel trajectory information according to the personnel starting information and the personnel destination information;
a personnel position obtaining module 203, configured to obtain information of a personnel position;
the personnel track correction module 204 is used for correcting the personnel track information according to the personnel azimuth information;
a virtual model generating module 205, configured to generate a virtual visual model according to the corrected trajectory information of the person;
and the virtual model sending module 206 is used for sending the virtual visual model to the intelligent terminal of the staff.
In a third aspect, the present application further provides a computer device, including: a memory and a processor, the memory having stored thereon a computer program that can be loaded by the processor and that executes a method of human action trajectory analysis as described above.
In a fourth aspect, the present application further provides a computer-readable storage medium, which adopts the following technical solution: a computer program is stored which can be loaded by a processor and which can perform any of the above-mentioned methods of analyzing a trajectory of a person.
Advantageous effects
1. Firstly, staff track information is planned for the first time through staff starting information and staff target information, the staff track information is corrected through the staff direction information, finally, a virtual visual model is generated through the corrected staff track information and is sent to an intelligent terminal of a worker, the staff track information can be corrected in time in an area with excellent indoor signals due to the fact that the staff direction information is updated in real time, and the current position information of the staff which cannot be updated in time can be used as reference through a position signal before the staff direction signal becomes weak or disappears, so that the matching degree of the theoretical action track of the staff and the action track of the actual staff is improved;
2. the key picture information of the relevant area is inquired according to the personnel orientation information, and the key picture information is compared according to the virtual visual model, so that the system can verify whether the generated virtual visual model is reasonable or not through the key picture information, and the matching degree of the virtual visual model and the personnel orientation information is further improved.
Drawings
In order to more clearly explain the technical solution of the present application, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious to those skilled in the art that other drawings can be obtained according to the drawings without any creative effort.
FIG. 1 is a flow chart of a method for analyzing a trajectory of a person;
fig. 2 is a schematic diagram of a human action trajectory analysis system.
Reference numerals: 201. a personnel information acquisition module; 202. a personnel trajectory calculation module; 203. a personnel orientation acquisition module; 204. a personnel trajectory correction module; 205. a virtual model generation module; 206. and a virtual model sending module.
Detailed Description
In order to make those skilled in the art better understand the technical solutions in the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
This application can acquire and fit current road information through predetermined map software based on personnel's orbit analysis system, can acquire the current position information of personnel through equipment such as cell-phone, bluetooth, wifi, basic station simultaneously, and system itself can communicate with the database and acquire data wherein, constructs communication connection through also can be through predetermined contact person's mode with intelligent terminal.
As shown in fig. 1, in one embodiment, the method of the present application comprises:
and S101, acquiring initial information and destination information of the personnel.
The personnel starting information and the personnel target information can be the range of activity of personnel within a certain time, and can also be a specific and clear place list brief description and the like; and meanwhile, the two-section movement range in a certain section of time period in the person track can be realized.
And S102, calculating staff track information according to the staff initial information and the staff target information.
The method comprises the steps of calculating and generating various kinds of personnel track information according to initial personnel information and personnel purpose information and based on the existing road connection mode, and generally selecting one with the highest heat degree as the personnel track information.
And S103, judging whether the current direction information of the personnel can be acquired or not.
The method comprises the following steps that azimuth information of current workers is obtained according to preset wearable equipment, an intelligent terminal, a communication mode and the like; the current position information of the personnel also comprises position information before the personnel position signal weakens or the personnel position signal disappears; if the current position information of the personnel can be directly obtained, correcting the trajectory information of the personnel according to the current position information of the personnel; and if the current position information of the personnel cannot be directly acquired, the position information before the personnel position signal weakens or the personnel position signal disappears is used as the current position information of the personnel, and the trajectory information of the personnel is corrected.
And S104, generating a virtual visual model according to the corrected personnel track information.
And acquiring a virtual visual model corresponding to specific personnel track information according to preset map software.
And S105, sending the virtual visual model to an intelligent terminal of a worker.
In one embodiment, considering that the current position information of the person is likely to be lost in the area with weak signals, the area with weak signals needs to be screened and examined, and the specific screening and examining operation may be performed as follows:
calling a weak signal area database, traversing specific weak signal field units recorded in the weak signal area database, searching and determining the direction of the weak signal field unit closest to the direction position before the obtained direction signal of the person weakens or the direction signal of the person disappears as the current direction information of the person, and correcting the trajectory information of the person. And traversing the specific weak signal place units recorded in the weak signal area database, searching and determining the direction of the weak signal place unit closest to the direction position before the obtained personnel direction signal weakens or the personnel direction signal disappears as the current direction information of the personnel, and correcting the trajectory information of the personnel.
In one embodiment, considering that there are various logic ways for correcting the person trajectory information, a specific logic way for correcting the person trajectory information needs to be disclosed, and the specific correction operation may be performed as:
calculating the distance between the personnel azimuth information and the personnel track information and setting the distance as a signal deviation distance; if the signal deviation distance is larger than a preset critical deviation range, and the critical deviation range can be set by the system, calculating the distance between the staff position information and the other staff track scheme and setting the distance as other deviation distances; and if the other deviation distances are within the preset critical deviation range, replacing the personnel track information with other personnel track schemes. The staff track information can be corrected in time by calculating the signal deviation distance, and when the staff changes the preset theoretical track in the action process, the system can still adjust the staff track information in time through the previously planned staff track scheme, so that the matching degree of the theoretical action track of the staff and the action track of the actual staff is improved.
In one embodiment, in consideration of other situations where the deviation distance is greater than the preset critical deviation range, the correction processing needs to be performed for such situations, and the specific correction operation may be performed as follows:
if the other deviation distances are all larger than a preset critical deviation range, inquiring a junction connection road in the preset range according to the direction information of the personnel; judging whether the personnel azimuth information is located in a preset critical passing range of a junction connection road or not; if the personnel azimuth information is located in a preset critical passing range of the junction connection road, setting the corresponding junction connection road as a key locus node; and correcting the personnel track information according to the key track nodes. And when other track information is larger than a preset critical deviation range, directly screening the junction connection road, judging the track trend possibly existing in the current personnel position according to the relation between the personnel position information and the junction connection road, and then judging whether the personnel track information needs to be corrected.
In one embodiment, considering that when the person trajectory information is abnormal, the travel trajectory of the person usually has a certain logical property, and therefore an analysis operation needs to be performed on the historical trajectory information, a specific analysis operation may be performed as follows:
arranging the track time information in a descending order according to the length; acquiring historical track information in a historical track library, wherein different initial and final personnel information and historical track information corresponding to the initial and final personnel information are stored in the historical track library, and the initial and final personnel information comprises historical initial information and historical target information; judging whether the personnel track information is matched with the historical track information; and if the personnel track information is matched with the historical track information, setting the historical track information as the personnel track information. By comparing the relation between the historical track information and the personnel track information, whether the current personnel track information accords with the travel habit information of the current personnel or not is deduced, the current personnel track information is predicted according to the travel habits stored by the travel personnel, and the capability of automatically recovering the personnel track information by the system when the personnel track information is abnormal is also improved.
In one embodiment, considering that there is a case where the historical trajectory information matches the person trajectory information due to an accidental factor in the process of predicting the person trajectory information according to the historical trajectory information, a filtering operation needs to be performed on the historical trajectory information, and the specific filtering operation may be performed as follows:
when the personnel track information is matched with the historical track information, acquiring the personnel azimuth information; judging whether the personnel azimuth information is within a critical deviation range of preset historical track information; if the personnel azimuth information is outside the critical deviation range of the preset historical track information, the historical track information is cancelled to be set as the personnel track information; otherwise, setting the historical track information as the personnel track information. Under the condition that the personnel track information deviates, the personnel azimuth information and the historical track information are matched and compared, the influence of accidental factors caused by factors such as coincidence is reduced, and the reasonability of the personnel track information calculated by the system based on the historical track information is further improved.
In one embodiment, considering that there is a mutual commonality between the actually generated virtual visual model and the person orientation information, the person trajectory information may be verified through the virtual visual model, and the specific verification operation may be performed as:
acquiring model picture information; acquiring corresponding key picture information according to the personnel orientation information, wherein the key picture information is picture information corresponding to high-frequency words corresponding to the personnel orientation information; judging whether the model picture information is matched with the key picture information; if not, canceling the generation of a virtual visual model according to the corrected personnel track information; otherwise, generating a virtual visual model according to the corrected personnel track information. The key picture information of the relevant area is inquired according to the personnel position information, and the key picture information is compared according to the virtual visual model, so that the system can verify whether the generated virtual visual model is reasonable or not through the key picture information, and the matching degree of the virtual visual model and the personnel position information is further improved.
Corresponding to the method of each embodiment, the present application further provides a system for analyzing a trajectory of a person, where the system applies the method, and as shown in fig. 2, the system includes:
a personnel information obtaining module 201, configured to obtain personnel initial information and personnel destination information;
the personnel trajectory calculation module 202 is used for calculating personnel trajectory information according to the personnel starting information and the personnel destination information;
the current position judging module 203 is used for judging whether the current position information of the personnel can be acquired, and/or the position information before the personnel position signal weakens or the personnel position signal disappears;
the direct trajectory correction module 204 is configured to correct the trajectory information of the person according to the current position information of the person if the current position information of the person can be directly obtained;
the substitute correction track module 205 is configured to, if the current direction information of the person cannot be directly obtained, take the direction information before the direction signal of the person becomes weak or the direction signal of the person disappears as the current direction information of the person, and correct the track information of the person;
a virtual model generation module 206, configured to generate a virtual visual model according to the corrected trajectory information of the person;
and the virtual model sending module 207 is used for sending the virtual visual model to the intelligent terminal of the staff.
In an embodiment, the alternative trajectory correcting module 205 is further configured to, if the current position information of the person cannot be directly obtained, take the position information before the weakening of the person position signal or the disappearance of the person position signal as the current position information of the person, further include: calling a weak signal area database, traversing the specific weak signal place units recorded in the weak signal area database, searching and determining the direction of the weak signal place unit closest to the direction position before the obtained direction signal of the person weakens or the person direction signal disappears as the current direction information of the person, and correcting the trajectory information of the person.
In an embodiment, the directly correcting the trajectory module 204, further configured to correct the trajectory information of the person according to the person position information includes: calculating the distance between the personnel position information and the personnel track information and setting the distance as a signal deviation distance; if the signal deviation distance is larger than a preset critical deviation range, calculating the distance between the personnel azimuth information and other personnel track schemes and setting the distance as other deviation distances; and if the other deviation distances are within the preset critical deviation range, replacing the personnel track information with other personnel track schemes.
In one embodiment, the direct correction trajectory module 204 is further configured to query a junction connection road within a preset range according to the direction information of the person if all other deviation distances are greater than a preset critical deviation range; judging whether the personnel azimuth information is located in a preset critical passing range of the junction connection road; if the personnel azimuth information is located in a preset critical passing range of the junction connection road, setting the corresponding junction connection road as a key locus node; and correcting the personnel track information according to the key track node.
In one embodiment, the directly correcting the trajectory module 204, further configured to select the trajectory with the shortest trajectory time information as the person trajectory information includes: arranging the track time information in a descending order according to the length; acquiring historical track information in a historical track library, wherein different initial and final personnel information and historical track information corresponding to the initial and final personnel information are stored in the historical track library, and the initial and final personnel information comprises historical initial information and historical target information; judging whether the personnel track information is matched with the historical track information; and if the personnel track information is matched with the historical track information, setting the historical track information as the personnel track information.
In one embodiment, the directly modifying the trajectory module 204 is further configured to set the historical trajectory information as the person trajectory information includes: when the personnel track information is matched with the historical track information, acquiring the personnel position information; judging whether the personnel azimuth information is within a critical deviation range of preset historical track information; if the personnel azimuth information is outside the critical deviation range of the preset historical track information, the historical track information is cancelled to be set as the personnel track information; otherwise, setting the historical track information as the personnel track information.
In one embodiment, the direct trajectory modification module 204 is further configured to generate a virtual visual model based on the modified trajectory information of the person, including: obtaining model picture information; acquiring corresponding key picture information according to the personnel orientation information, wherein the key picture information is picture information corresponding to high-frequency words corresponding to the personnel orientation information; judging whether the model picture information is matched with the key picture information; if not, canceling the generation of a virtual visual model according to the corrected personnel track information; and otherwise, generating a virtual visual model according to the corrected personnel track information.
In a third aspect, the present application further provides a computer device, including: a memory and a processor, the memory having stored thereon a computer program that can be loaded by the processor and that executes a method of human action trajectory analysis as described above.
In a fourth aspect, the present application further provides a computer-readable storage medium, which adopts the following technical solution: a computer program is stored which can be loaded by a processor and used for executing any one of the above methods for analyzing the human action trajectory.
It is understood that a person skilled in the art can combine, split, recombine and the like the embodiments of the present application to obtain other embodiments on the basis of several embodiments provided by the present application, and the embodiments do not depart from the scope of the present application.
The above embodiments are only intended to be specific embodiments of the present application, and are not intended to limit the scope of the embodiments of the present application, and any modifications, equivalent substitutions, improvements, and the like made on the basis of the technical solutions of the embodiments of the present application should be included in the scope of the embodiments of the present application.
Claims (10)
1. A method for analyzing a trajectory of a person, the method comprising:
acquiring initial information and destination information of personnel;
calculating personnel track information according to the personnel starting information and the personnel target information;
judging whether the current direction information of the personnel can be acquired or not, and/or acquiring the direction information before the direction signal of the personnel weakens or the direction signal of the personnel disappears;
if the current position information of the personnel can be directly obtained, correcting the trajectory information of the personnel according to the current position information of the personnel;
if the current position information of the personnel cannot be directly obtained, the position information before the personnel position signal weakens or disappears is used as the current position information of the personnel, and the track information of the personnel is corrected;
generating a virtual visual model according to the corrected personnel track information;
and sending the virtual visual model to an intelligent terminal of a worker.
2. The method for analyzing a human action trajectory according to claim 1, wherein the step of using the direction information before the human direction signal becomes weak or disappears as the current direction information of the human if the current direction information of the human cannot be directly obtained further comprises:
calling a weak signal area database, traversing specific weak signal field units recorded in the weak signal area database, searching and determining the direction of the weak signal field unit closest to the direction position before the obtained direction signal of the person weakens or the direction signal of the person disappears as the current direction information of the person, and correcting the trajectory information of the person.
3. The method for analyzing the human action track according to claim 1, wherein the correcting the human track information according to the current position information of the human comprises:
calculating the distance between the current position information of the personnel and the trajectory information of the personnel and setting the distance as a signal deviation distance;
if the signal deviation distance is larger than a preset critical deviation range, calculating the distance between the personnel azimuth information and other personnel track schemes and setting the distance as other deviation distances;
and if the other deviation distances are within the preset critical deviation range, replacing the personnel track information with other personnel track schemes.
4. The method of analyzing a trajectory of human action according to claim 3, the method further comprising:
if the other deviation distances are all larger than the preset critical deviation range, inquiring a junction connection road in the preset range according to the personnel direction information;
judging whether the personnel azimuth information is located in a preset critical passing range of a junction connection road or not;
if the personnel orientation information is located in a preset critical passing range of the junction connection road, setting the corresponding junction connection road as a key track node;
and correcting the personnel track information according to the key track nodes.
5. The method for analyzing a human action trajectory according to claim 2, wherein the selecting the person trajectory information having the shortest trajectory time information includes:
arranging the track time information in a descending order according to the length;
acquiring historical track information in a historical track library, wherein different initial and final personnel information and historical track information corresponding to the initial and final personnel information are stored in the historical track library, and the initial and final personnel information comprises historical initial information and historical target information;
judging whether the personnel track information is matched with the historical track information;
and if the personnel track information is matched with the historical track information, setting the historical track information as the personnel track information.
6. The human action trajectory analysis method according to claim 5, wherein the setting of the historical trajectory information as the human trajectory information comprises:
when the personnel track information is matched with the historical track information, acquiring the personnel position information;
judging whether the personnel azimuth information is located in a critical deviation range of preset historical track information;
if the personnel azimuth information is outside the critical deviation range of the preset historical track information, the historical track information is cancelled to be set as the personnel track information;
otherwise, setting the historical track information as the personnel track information.
7. The method for analyzing human action trajectory according to claim 5, wherein the generating a virtual visual model according to the modified human action trajectory information comprises:
obtaining model picture information;
acquiring corresponding key picture information according to the personnel orientation information, wherein the key picture information is picture information corresponding to high-frequency words corresponding to the personnel orientation information;
judging whether the model picture information is matched with the key picture information;
if not, canceling the generation of a virtual visual model according to the corrected personnel track information;
otherwise, generating a virtual visual model according to the corrected personnel track information.
8. A human action trajectory analysis system for performing the method of any one of claims 1 to 7, the system comprising:
the personnel information acquisition module (201) is used for acquiring personnel initial information and personnel target information;
the personnel track calculation module (202) is used for calculating personnel track information according to the personnel starting information and the personnel target information;
the current direction judging module (203) is used for judging whether the current direction information of the personnel can be acquired, and/or the direction information before the personnel direction signal weakens or the personnel direction signal disappears;
a direct correction track module (204) for correcting the track information of the personnel according to the current position information of the personnel if the current position information of the personnel can be directly obtained;
a substitute correction track module (205) for taking the direction information before the personnel direction signal weakens or the personnel direction signal disappears as the personnel current direction information and correcting the personnel track information if the personnel current direction information can not be directly obtained;
a virtual model generation module (206) for generating a virtual visual model according to the corrected personnel trajectory information;
and the virtual model sending module (207) is used for sending the virtual visual model to the intelligent terminal of the staff.
9. A computer device comprising a memory and a processor, the memory having stored thereon a computer program that can be loaded by the processor and that executes the method according to any of claims 1 to 7.
10. A computer-readable storage medium, characterized in that a computer program is stored which can be loaded by a processor and which executes a method according to any one of claims 1 to 7.
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