CN115950430B - Personnel action track analysis method and system - Google Patents
Personnel action track analysis method and system Download PDFInfo
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- CN115950430B CN115950430B CN202211732412.5A CN202211732412A CN115950430B CN 115950430 B CN115950430 B CN 115950430B CN 202211732412 A CN202211732412 A CN 202211732412A CN 115950430 B CN115950430 B CN 115950430B
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
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- Y02P90/30—Computing systems specially adapted for manufacturing
Abstract
The application provides a personnel action track analysis method and a system, wherein the method comprises the steps of acquiring personnel start information and personnel destination information; calculating personnel track information according to the personnel start information and the personnel destination information; acquiring personnel azimuth information; 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 the intelligent terminal of the staff. Firstly, personnel track information is firstly planned according to personnel initial information and personnel destination information, the personnel track information is corrected according to personnel azimuth information, and finally, the corrected personnel track information is generated into a virtual visual model and is sent to an intelligent terminal of a worker.
Description
Technical Field
The application relates to the technical field of track analysis, in particular to a method and a system for analyzing a human action track.
Background
The common ways for analyzing the action track of the person are map positioning, and the map positioning mainly comprises GPS positioning, beidou positioning, base station status, wiFi positioning and other ways; GPS positioning is the most common method and has the advantages of good signal, high positioning precision, wide application scale and the like; the Beidou positioning mode is similar to the GPS positioning mode, and the Beidou positioning mode and the GPS positioning mode have the problem of weak signal penetration capacity; the base station positioning is limited by the number of base stations, the number of base stations is more, the positioning is accurate, the number of base stations is less, and the positioning is inaccurate; wiFi positioning is limited by WiFi coverage; bluetooth positioning is also limited in that bluetooth coverage is commonly used indoors.
In the course of existing personnel trajectory analysis, the inventors found that at least the following problems exist: because of the indoor signal shielding, in the existing personnel track analysis process, the personnel position cannot be accurately positioned due to poor indoor signal penetration capability, so that the theoretical action track of the personnel is not matched with the action track of the actual personnel.
Disclosure of Invention
The embodiment of the application provides a personnel action track analysis method and a system, which are used for solving the technical problem that the personnel action track is not matched with the action track of an actual person due to the fact that the personnel azimuth cannot be accurately positioned due to poor indoor signal penetration capability in the existing personnel track analysis process due to indoor signal shielding.
In a first aspect, the present application provides a method for analyzing a person action track, including acquiring person start information and person destination information;
calculating personnel track information according to the personnel start information and the personnel destination information;
judging whether the current azimuth information of the personnel can be obtained, and/or whether the azimuth signal of the personnel is weakened or the azimuth information before the azimuth signal of the personnel disappears;
if the current azimuth information of the personnel can be directly obtained, correcting the personnel track information according to the current azimuth information of the personnel;
if the current azimuth information of the personnel cannot be directly obtained, the azimuth information of the personnel with weakened azimuth signals or before the disappearance of the azimuth signals of the personnel is used as the current azimuth information of the personnel, and the personnel track information is corrected;
generating a virtual visual model according to the corrected personnel track information;
and sending the virtual visual model to the intelligent terminal of the staff.
According to the technical scheme, the personnel track information is firstly planned through the personnel initial information and the personnel destination information, the personnel track information is corrected through the personnel azimuth information, the corrected personnel track information is finally generated into the virtual visual model and is sent to the intelligent terminal of the staff, the personnel track information can be corrected in time in an area with excellent indoor signals because the personnel azimuth information is updated in real time, and the current azimuth information of the personnel which cannot be updated in time can also be used as a reference through the azimuth signal before the personnel azimuth signal weakens or disappears, so that the matching degree of the theoretical action track of the personnel and the action track of the actual personnel is improved.
In some specific 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 position signal of the person or the disappearance of the position signal of the person as the current position information of the person further includes:
and (3) calling a weak signal area database, traversing specific weak signal place units recorded in the weak signal area database, searching and determining the azimuth of the weak signal place unit closest to the azimuth position before the acquired personnel azimuth signal is weakened or the personnel azimuth signal disappears as the current azimuth information of the personnel, and correcting the personnel track information.
Through the technical scheme, the personnel azimuth information is directly estimated in a mode of the weak signal area database, so that the disappeared personnel azimuth information is rapidly 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 embodiments, the correcting the person trajectory information according to the person position information includes:
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, 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.
By the technical scheme, the personnel track information can be corrected in time by calculating the signal deviation distance, and when a person changes a preset theoretical track in the course of action, the system can still timely adjust the personnel track information through the previously planned personnel track scheme, so that the matching degree of the theoretical action track of the person and the action track of the actual person is improved.
In some specific embodiments, if the other deviation distances are all greater than the preset critical deviation range, inquiring the junction connection road in the preset range according to the personnel azimuth information;
judging whether the personnel azimuth information is positioned in a preset critical passing range of the junction connecting road or not;
if the personnel azimuth information is 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.
Through 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 through the relation between the personnel position information and the junction connection road, and then whether the correction operation on the personnel track information is needed is judged.
In some specific embodiments, the shortest selection track time information as the personnel track information includes:
arranging the track time information in descending order according to the length;
acquiring historical track information in a historical track library, wherein the historical track library stores different personnel start and end information and historical track information corresponding to the personnel start and end information, and the personnel start and end information comprises historical initial information and historical destination information;
judging whether the personnel track information is matched with the history track information;
and if the personnel track information is matched with the historical track information, setting the historical track information as 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 habit stored by the travel personnel, and the capability of automatically recovering the personnel track information when the personnel track information is abnormal is improved.
In some specific embodiments, the setting the historical track information as the personnel track information includes:
when the personnel track information is matched with the historical track information, acquiring the personnel azimuth information;
judging whether the personnel azimuth information is in a critical deviation range of preset historical track information or not;
if the personnel azimuth information is out of the preset critical deviation range of the historical track information, the historical track information is canceled to be set as personnel track information;
otherwise, the history track information is set as personnel track information.
According to the technical scheme, under the condition that the personnel track information deviates, the personnel azimuth information and the historical track information are subjected to fitting comparison, so that the influence of accidental factors caused by coincidences and other factors is reduced, and the rationality of the personnel track information calculated by the system based on the historical track information is further increased.
In some specific embodiments, the generating the virtual visual model from the corrected personnel trajectory information includes:
obtaining model picture information;
acquiring corresponding key picture information according to the personnel azimuth information, wherein the key picture information is picture information corresponding to a high-frequency word corresponding to the personnel azimuth information;
judging whether the model picture information is matched with the key picture information or not;
if the person track information is not matched with the person track information, generating a virtual visual model according to the corrected person track information is canceled;
otherwise, generating a virtual visual model according to the corrected personnel track information.
According to the technical scheme, the key picture information of the relevant area is queried according to the personnel azimuth 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 azimuth information is further improved.
In a second aspect, the present application also provides a system for performing the method of the first aspect, comprising:
a personnel information acquisition module 201, configured to acquire personnel start information and personnel destination information;
a personnel track calculation module 202, configured to calculate personnel track information according to the personnel start information and the personnel destination information;
a personnel azimuth acquiring module 203, configured to acquire personnel azimuth information;
the personnel track correction module 204 is used for correcting personnel track information according to personnel azimuth information;
the virtual model generating module 205 is configured to generate a virtual visual model according to the corrected personnel track information;
the virtual model sending module 206 is configured to send the virtual visual model to an intelligent terminal of a worker.
In a third aspect, the present application also provides a computer device comprising: a memory and a processor, the memory storing a computer program that can be loaded by the processor and that performs 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 scheme: a computer program capable of being loaded by a processor and executing any one of the above-described human action trajectory analysis methods is stored.
Advantageous effects
1. Firstly, personnel track information is firstly planned according to personnel initial information and personnel destination information, the personnel track information is corrected according to personnel azimuth information, the corrected personnel track information is finally generated into a virtual visual model and is sent to an intelligent terminal of a worker, and because the personnel azimuth information is updated in real time, the personnel track information can be corrected in time in an area with excellent indoor signals, and the current azimuth information of the personnel which cannot be updated in time can also be used as a reference through azimuth signals before the personnel azimuth signals become weak or disappear, so that the matching degree of the theoretical action track of the personnel and the action track of the actual personnel is improved;
2. and inquiring key picture information of the related area according to the personnel azimuth information, and comparing the key picture information 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 azimuth information is further improved.
Drawings
In order to more clearly illustrate the technical solution of the present application, the drawings that are needed in the embodiments will be briefly described below, and it will be obvious to those skilled in the art that other drawings can be obtained from these drawings without inventive effort.
FIG. 1 is a flow chart of a method of analyzing a person's action trajectory;
FIG. 2 is a schematic diagram of a system for analyzing a human action trajectory.
Reference numerals: 201. a personnel information acquisition module; 202. a personnel track calculation module; 203. a personnel azimuth acquisition module; 204. a personnel track correction module; 205. a virtual model generation module; 206. and a virtual model sending module.
Detailed Description
In order to make the technical solution of the present application better understood by those skilled in the art, the technical solution of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application, and it is apparent that the described embodiments are only some embodiments of the present application, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present application without making any inventive effort, shall fall within the scope of the present application.
The system can be used for acquiring and fitting the current road information through the preset map software based on the personnel track analysis system, acquiring the current azimuth information of personnel through the mobile phone, bluetooth, wifi, base station and other equipment, communicating with a database and acquiring data in the database, and constructing communication connection with an intelligent terminal through a preset contact way.
As shown in fig. 1, in one embodiment, the method of the present application comprises:
s101, acquiring personnel start information and personnel destination information.
The personnel start information and the personnel destination information can be the moving range of personnel in a certain time, or can be specific and clear place list brief description and the like; and simultaneously, the two movable ranges in a certain period of time in the personnel track can also be used.
S102, calculating personnel track information according to the personnel start information and the personnel destination information.
According to the initial information and the destination information of the person, and based on the existing road connection mode, various pieces of person track information are calculated and generated, and one piece with the highest heat is generally selected as the person track information.
S103, judging whether the current azimuth information of the personnel can be acquired.
The method comprises the steps of acquiring azimuth information of a current staff according to preset wearing equipment, intelligent terminals, communication modes and the like; the current azimuth information of the personnel also comprises azimuth information before the azimuth signal of the personnel becomes weak or the azimuth signal of the personnel disappears; if the current azimuth information of the personnel can be directly obtained, correcting the personnel track information according to the current azimuth information of the personnel; if the current azimuth information of the personnel cannot be directly obtained, the azimuth information of the personnel with weakened azimuth signals or before the disappearance of the azimuth signals of the personnel is used as the current azimuth information of the personnel, and the personnel track information is corrected.
S104, generating a virtual visual model according to the corrected personnel track information.
And acquiring a virtual visual model corresponding to the specific personnel track information according to preset map software.
S105, the virtual visual model is sent to the intelligent terminal of the staff.
In one embodiment, considering that the possibility of losing the current azimuth information of the person in the area with weak signals exists, the filtering and residual investigation needs to be performed on the area with weak signals, and the specific filtering and checking operation can be performed as follows:
and (3) calling a weak signal area database, traversing specific weak signal place units recorded in the weak signal area database, searching and determining the azimuth of the weak signal place unit closest to the azimuth position before the acquired personnel azimuth signal is weakened or the personnel azimuth signal disappears as the current azimuth information of the personnel, and correcting the personnel track information. And traversing specific weak signal place units recorded in a weak signal area database, searching and determining the azimuth of the weak signal place unit closest to the azimuth position before the acquired personnel azimuth signal is weakened or the personnel azimuth signal disappears as personnel current azimuth information, and correcting personnel track information.
In one embodiment, considering that there are various logic ways of correcting the personnel track information, a specific logic way of correcting the personnel track information needs to be disclosed, and a specific correction operation may be performed as follows:
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, the critical deviation range can be set by the system, and then the distance between the personnel azimuth information and other personnel track schemes is calculated and set 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 personnel track information can be corrected in time by calculating the signal deviation distance, and when a person changes a preset theoretical track in the action process, the system can still timely adjust the personnel track information through a previously planned personnel track scheme, so that the matching degree of the theoretical action track of the person and the action track of an actual person is improved.
In one embodiment, in consideration of the case where the other deviation distances exist that are all greater than the preset critical deviation range, correction processing is required for this case, and a specific correction operation may be performed as follows:
if the other deviation distances are larger than the preset critical deviation range, inquiring a junction connection road in the preset range according to the azimuth information of the personnel; judging whether the personnel azimuth information is positioned in a preset critical passing range of the junction connecting road or not; if the personnel azimuth information is 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. And 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 through the relation between the personnel position information and the junction connection road, and then whether the correction operation on the personnel track information is needed is judged.
In one embodiment, considering that when the trace information of the person is abnormal, the travel trace of the person usually has certain logic, an analysis operation needs to be performed on the historical trace information, and the specific analysis operation can be performed as follows:
arranging the track time information in descending order according to the length; acquiring historical track information in a historical track library, wherein the historical track library stores different personnel start and end information and historical track information corresponding to the personnel start and end information, and the personnel start and end information comprises historical initial information and historical destination information; judging whether the personnel track information is matched with the history track information; and if the personnel track information is matched with the historical track information, setting the historical track information as 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 is deduced, the current personnel track information is predicted according to the travel habit stored by the travel personnel, and the capability of the system for automatically recovering the personnel track information when the personnel track information is abnormal is also improved.
In one embodiment, considering that in the process of predicting the personnel track information according to the historical track information, the historical track information is matched with the personnel track information due to accidental factors, a screening operation needs to be performed on the historical track information, and the specific screening operation can 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 in a critical deviation range of preset historical track information or not; if the personnel azimuth information is out of the preset critical deviation range of the historical track information, the historical track information is canceled to be set as personnel track information; otherwise, the history track information is set as personnel track information. Under the condition that the personnel track information deviates, the personnel azimuth information and the historical track information are subjected to fitting comparison, so that the influence of accidental factors caused by coincidence and other factors is reduced, and the rationality of the personnel track information calculated by the system based on the historical track information is further increased.
In one embodiment, in consideration of mutual commonality between the actually generated virtual visual model and the personnel position information, the personnel track information may be subjected to a verification operation through the virtual visual model, and a specific verification operation may be performed as follows:
obtaining model picture information; acquiring corresponding key picture information according to the personnel azimuth information, wherein the key picture information is picture information corresponding to a high-frequency word corresponding to the personnel azimuth information; judging whether the model picture information is matched with the key picture information or not; if the person track information is not matched with the person track information, generating a virtual visual model according to the corrected person track information is canceled; otherwise, generating a virtual visual model according to the corrected personnel track information. And inquiring key picture information of the related area according to the personnel azimuth information, and comparing the key picture information 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 azimuth information is further improved.
The application also provides a personnel action track analysis system applying the method corresponding to the method of each embodiment, as shown in fig. 2, the system comprises:
a personnel information acquisition module 201, configured to acquire personnel start information and personnel destination information;
a personnel track calculation module 202, configured to calculate personnel track information according to the personnel start information and the personnel destination information;
the current azimuth judging module 203 is configured to judge whether current azimuth information of the person can be obtained, and/or azimuth information before the azimuth signal of the person becomes weak or the azimuth signal of the person disappears;
the direct correction track module 204 is configured to correct the personnel track information according to the personnel current azimuth information if the personnel current azimuth information can be directly obtained;
the replacement correction track module 205 is configured to, if the current position information of the person cannot be directly obtained, take the position information before the position signal of the person becomes weak or the position signal of the person disappears as the current position information of the person, and correct the track information of the person;
a virtual model generating module 206, configured to generate a virtual visual model according to the corrected personnel track information;
the virtual model sending module 207 is configured to send the virtual visual model to an intelligent terminal of a worker.
In an embodiment, the replacing the corrected track module 205 is further configured to, if the current position information of the person cannot be directly obtained, further use the position information before the position signal of the person becomes weak or the position signal of the person disappears as the current position information of the person, further include: and (3) calling a weak signal area database, traversing specific weak signal place units recorded in the weak signal area database, searching and determining the azimuth of the weak signal place unit closest to the azimuth position before the acquired personnel azimuth signal is weakened or the personnel azimuth signal disappears as the current azimuth information of the personnel, and correcting the personnel track information.
In one embodiment, the direct correction track module 204 is further configured to correct the personnel track information according to the personnel position information, including: 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, 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 track module 204 is further configured to query the pivot connection road within the preset range according to the personnel azimuth information if the other deviation distances are all greater than the preset critical deviation range; judging whether the personnel azimuth information is positioned in a preset critical passing range of the junction connecting road or not; if the personnel azimuth information is 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.
In one embodiment, the direct correction track module 204 is further configured to select the shortest track time information as the personnel track information including: arranging the track time information in descending order according to the length; acquiring historical track information in a historical track library, wherein the historical track library stores different personnel start and end information and historical track information corresponding to the personnel start and end information, and the personnel start and end information comprises historical initial information and historical destination information; judging whether the personnel track information is matched with the history track information; and if the personnel track information is matched with the historical track information, setting the historical track information as personnel track information.
In one embodiment, the direct correction trajectory module 204 is further configured to set the historical trajectory information to personnel trajectory information including: when the personnel track information is matched with the historical track information, acquiring the personnel azimuth information; judging whether the personnel azimuth information is in a critical deviation range of preset historical track information or not; if the personnel azimuth information is out of the preset critical deviation range of the historical track information, the historical track information is canceled to be set as personnel track information; otherwise, the history track information is set as personnel track information.
In one embodiment, the direct modification track module 204 is further configured to generate a virtual visual model according to the modified personnel track information, including: obtaining model picture information; acquiring corresponding key picture information according to the personnel azimuth information, wherein the key picture information is picture information corresponding to a high-frequency word corresponding to the personnel azimuth information; judging whether the model picture information is matched with the key picture information or not; if the person track information is not matched with the person track information, generating a virtual visual model according to the corrected person track information is canceled; otherwise, generating a virtual visual model according to the corrected personnel track information.
In a third aspect, the present application also provides a computer device comprising: a memory and a processor, the memory storing a computer program that can be loaded by the processor and that performs 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 scheme: a computer program capable of being loaded by a processor and executing any one of the above-described human action trajectory analysis methods is stored.
It is to be understood that, based on the several embodiments provided in the present application, those skilled in the art may combine, split, reorganize, etc. the embodiments of the present application to obtain other embodiments, which all do not exceed the protection scope of the present application.
The foregoing detailed description of the embodiments of the present application further illustrates the purposes, technical solutions and advantageous effects of the embodiments of the present application, and it should be understood that the foregoing is merely a specific implementation of the embodiments of the present application, and is not intended to limit the scope of the embodiments of the present application, and any modifications, equivalent substitutions, improvements, etc. 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 (8)
1. A method of analyzing a person action trajectory, the method comprising:
acquiring personnel start information and personnel destination information;
calculating personnel track information according to the personnel start information and the personnel destination information;
judging whether the current azimuth information of the personnel can be obtained or not;
if the current azimuth information of the personnel can be directly obtained, correcting the personnel track information according to the current azimuth information of the personnel;
if the current azimuth information of the personnel cannot be directly obtained, the azimuth information of the personnel with weakened azimuth signals or the azimuth information before the personnel with disappeared azimuth signals is used as the current azimuth information of the personnel, and the personnel track information is corrected;
generating a virtual visual model according to the corrected personnel track information;
transmitting the virtual visual model to an intelligent terminal of a worker;
the correcting the personnel track information according to the personnel current azimuth information comprises the following steps:
calculating the distance between the current azimuth information of the personnel 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.
2. The method for analyzing a person action track according to claim 1, wherein the step of taking the azimuth information before the weakening of the person azimuth signal or the disappearance of the person azimuth signal as the current azimuth information of the person if the current azimuth information of the person cannot be directly obtained further comprises:
and (3) calling a weak signal area database, traversing specific weak signal place units recorded in the weak signal area database, searching and determining the azimuth of the weak signal place unit closest to the azimuth position before the acquired personnel azimuth signal is weakened or the personnel azimuth signal disappears as the current azimuth information of the personnel, and correcting the personnel track information.
3. The human action trajectory analysis method according to claim 2, characterized in that the method further comprises:
if the other deviation distances are larger than the preset critical deviation range, inquiring a junction connection road in the preset range according to the azimuth information of the personnel;
judging whether the personnel azimuth information is positioned in a preset critical passing range of the junction connecting road or not;
if the personnel azimuth information is 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.
4. The person action trajectory analysis method according to claim 2, wherein the person trajectory information is calculated based on the person start information and the person destination information, and specifically comprising:
acquiring historical track information in a historical track library, wherein the historical track library stores different personnel start and end information and historical track information corresponding to the personnel start and end information, and the personnel start and end information comprises historical initial information and historical destination information;
judging whether the personnel track information is matched with the history track information;
if the personnel track information is matched with the historical track information, setting the historical track information as personnel track information;
the setting of the history track information as the personnel track information includes:
when the personnel track information is matched with the historical track information, acquiring the personnel azimuth information;
judging whether the personnel azimuth information is in a critical deviation range of preset historical track information or not;
if the personnel azimuth information is out of the preset critical deviation range of the historical track information, the historical track information is canceled to be set as personnel track information;
otherwise, the history track information is set as personnel track information.
5. The person action trajectory analysis method of claim 4, wherein generating a virtual visual model from the corrected person trajectory information includes:
obtaining model picture information;
acquiring corresponding key picture information according to the personnel azimuth information, wherein the key picture information is picture information corresponding to a high-frequency word corresponding to the personnel azimuth information;
judging whether the model picture information is matched with the key picture information or not;
if the person track information is not matched with the person track information, generating a virtual visual model according to the corrected person track information is canceled;
otherwise, generating a virtual visual model according to the corrected personnel track information.
6. A person action trajectory analysis system for performing the method of any one of claims 1 to 5, the system comprising:
the personnel information acquisition module (201) is used for acquiring personnel start information and personnel destination information;
the personnel track calculation module (202) is used for calculating personnel track information according to the personnel start information and the personnel destination information;
the current azimuth judging module (203) is used for judging whether the current azimuth information of the personnel can be obtained and/or whether the azimuth signal of the personnel is weakened or the azimuth information before the azimuth signal of the personnel disappears;
the direct correction track module (204) is used for correcting the personnel track information according to the personnel current azimuth information if the personnel current azimuth information can be directly acquired;
the replacement correction track module (205) is used for taking the azimuth information before the personnel azimuth signal is weakened or the personnel azimuth signal disappears as the personnel current azimuth information if the personnel current azimuth information cannot be directly obtained, and correcting the personnel track information;
a virtual model generation module (206) for generating a virtual visual model according to the corrected personnel track information;
and the virtual model sending module (207) is used for sending the virtual visual model to the intelligent terminal of the staff.
7. A computer device comprising a memory and a processor, the memory having stored thereon a computer program capable of being loaded by the processor and performing the method according to any of claims 1 to 5.
8. A computer readable storage medium, characterized in that a computer program is stored which can be loaded by a processor and which performs the method according to any one of claims 1 to 5.
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