CN112699196B - Track generation method, track generation device, terminal equipment and storage medium - Google Patents
Track generation method, track generation device, terminal equipment and storage medium Download PDFInfo
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- G—PHYSICS
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- G—PHYSICS
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
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Abstract
The application is applicable to the technical field of big data, and provides a track generation method, a track generation device, terminal equipment and a storage medium, wherein the track generation method comprises the following steps: acquiring a plurality of first position sets, wherein each first position set comprises a plurality of first positions of a user within a first preset time period, and the first positions have corresponding distances; deleting abnormal data in the plurality of first position sets according to the distances among the plurality of first positions to obtain a plurality of second position sets; diluting the plurality of second position sets based on the initial second positions and the final second positions in the plurality of second position sets to obtain a third position set; and generating a patrol track by adopting the position data in the third position set. The patrol track generated by the method not only can accurately represent the track information of the user, but also can reasonably reduce the number of track points and optimize the display effect of the patrol track.
Description
Technical Field
The application belongs to the technical field of big data, and particularly relates to a track generation method, a track generation device, terminal equipment and a storage medium.
Background
At present, the social economy is developed at a high speed, and the living environment problem is more remarkable, wherein the water environment problem is particularly serious. The country has paid great attention to environmental protection of drinking water, and thus, it is becoming more and more important for reservoir inspection work. In the conventional daily patrol work of the reservoir, the geographical positions of the reservoir and the river channel may be in remote mountain areas or areas with lower coverage rate of base stations, so that a complete patrol track is difficult to record through terminal equipment. In addition, if a large number of track points acquired by the terminal device are generated in the patrol track, the generated patrol track has a problem of poor display effect.
Disclosure of Invention
The embodiment of the application provides a track generation method, a track generation device, terminal equipment and a storage medium, which can solve the problem of poor display effect in the process of generating a patrol track.
In a first aspect, an embodiment of the present application provides a method for generating a patrol track, including:
acquiring a plurality of first position sets, wherein each first position set comprises a plurality of first positions of a user within a first preset time period, and the first positions have corresponding distances;
deleting abnormal data in the plurality of first position sets according to the distances among the plurality of first positions to obtain a plurality of second position sets;
Diluting the plurality of second position sets based on the initial second positions and the final second positions in the plurality of second position sets to obtain a third position set;
and generating a patrol track by adopting the position data in the third position set.
In an embodiment, the acquiring a plurality of first location sets includes:
receiving a selection instruction of a user, and determining a patrol starting point of a patrol object according to the selection instruction;
if the patrol instruction of the user is received, acquiring the initial position of the user at the current moment;
and when the initial position is consistent with the patrol starting point, acquiring the plurality of first position sets every the first preset duration.
In an embodiment, the deleting the abnormal data in the first location sets according to the distances between the first locations to obtain a second location set includes:
acquiring a current first position acquired at the current moment in the first position set, and acquiring an adjacent first position acquired before the current moment;
calculating a first distance between the current first position and the adjacent first position, and calculating and acquiring a time interval between the current first position and the adjacent first position;
Determining an error threshold according to the time interval;
if the first distance is greater than or equal to the error threshold, deleting the current first position acquired at the current moment;
and if the first distance is smaller than the error threshold, reserving the current first position acquired at the current moment as a second position in the second position set.
In an embodiment, the diluting the plurality of second location sets based on the initial second location and the final second location in the plurality of second location sets to obtain a third location set includes:
generating a plurality of track line segments according to the initial second positions and the final second positions in the plurality of second position sets, wherein each track line segment points to the final second position from the initial second position in one second position set;
for a target track line segment, calculating a plurality of track distances between the rest second positions in the second position set and the target track line segment, wherein the target track line segment is any track line segment in the plurality of track line segments;
determining a maximum track distance of the plurality of track distances;
and if the maximum track distance is smaller than the preset distance, deleting the rest second positions in the target track line segment, and taking the initial second position and the ending second position in the target track line segment as position data in the third position set.
In an embodiment, the method for generating a patrol trajectory further includes:
if the maximum track distance is greater than or equal to the preset distance, acquiring a target second position corresponding to the maximum track distance;
generating a first segmentation data set according to the rest of second positions between the initial second position and the target second position, and generating a second segmentation data set according to the rest of second positions between the target second position and the end second position, wherein the first segmentation data set and the second segmentation data set are respectively used as new second position sets;
and diluting the new second position set based on the initial second position and the ending second position in the new second position set to obtain a third position set.
In an embodiment, after generating the patrol trajectory using the position data in the third position set, the method further includes:
acquiring a plurality of pieces of patrol information input by the user, and storing the plurality of pieces of patrol information into a first database, wherein the plurality of pieces of patrol information are used for describing the patrol track;
and determining target patrol information in the plurality of patrol information, and storing the target patrol information and the third position set in a second database correspondingly.
In an embodiment, the second database includes a plurality of patrol trajectories generated by a plurality of third location sets;
after generating the patrol track by using the position data in the third position set, the method further comprises:
inquiring target patrol information conforming to the inquiry conditions and a patrol track corresponding to the target patrol information from the second database according to the inquiry conditions;
counting the number of the patrol tracks, and loading the patrol tracks in batches according to the number of the patrol tracks.
In a second aspect, an embodiment of the present application provides a patrol trajectory generating device, including:
the system comprises an acquisition module, a storage module and a display module, wherein the acquisition module is used for acquiring a plurality of first position sets, each first position set comprises a plurality of first positions of a user within a first preset time period, and the first positions have corresponding distances;
the deleting module is used for deleting the abnormal data in the plurality of first position sets according to the distances among the plurality of first positions to obtain a plurality of second position sets;
the dilution module is used for carrying out dilution processing on the plurality of second position sets based on the initial second position and the termination second position in the plurality of second position sets to obtain a third position set;
And the generation module is used for generating a patrol track by adopting the position data in the third position set.
In a third aspect, an embodiment of the present application provides a terminal device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, the processor implementing the method according to any one of the first aspects when executing the computer program.
In a fourth aspect, embodiments of the present application provide a computer-readable storage medium storing a computer program which, when executed by a processor, implements a method as in any one of the first aspects above
In a fifth aspect, an embodiment of the application provides a computer program product for, when run on a terminal device, causing the terminal device to perform the method of any of the first aspects described above.
In the embodiment of the application, according to the acquired first positions in the plurality of first position sets and the corresponding distances between the first positions, deleting the abnormal data to obtain a plurality of second position sets, and according to the initial second position and the ending second position in each second position set, diluting the second position sets to obtain a third position set, thereby realizing the generated inspection track, accurately representing the track information of the user, reasonably reducing the number of track points and optimizing the display effect of the inspection track.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the embodiments or the description of the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and that other drawings can be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flowchart of an implementation of a method for generating a patrol track according to an embodiment of the present application;
FIG. 2 is a schematic diagram of an implementation of S101 of a method for generating a patrol track according to an embodiment of the application;
FIG. 3 is a schematic diagram of an implementation of S102 of a method for generating a patrol track according to an embodiment of the application;
FIG. 4 is a schematic diagram of an implementation of S103 of a method for generating a patrol track according to an embodiment of the application;
FIG. 5 is a flowchart illustrating an implementation of a method for generating a patrol trajectory according to another embodiment of the present application;
FIG. 6 is a flowchart illustrating an implementation of a method for generating a patrol trajectory according to still another embodiment of the present application;
FIG. 7 is a block diagram of a patrol trajectory generating device according to an embodiment of the present application;
Fig. 8 is a block diagram of a terminal device according to an embodiment of the present application.
Detailed Description
In the following description, for purposes of explanation and not limitation, specific details are set forth such as the particular system architecture, techniques, etc., in order to provide a thorough understanding of the embodiments of the present application. It will be apparent, however, to one skilled in the art that the present application may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present application with unnecessary detail.
It should be understood that the terms "comprises" and/or "comprising," when used in this specification and the appended claims, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
Furthermore, the terms "first," "second," "third," and the like in the description of the present specification and in the appended claims, are used for distinguishing between descriptions and not necessarily for indicating or implying a relative importance.
The patrol track generation method provided by the embodiment of the application can be applied to terminal equipment such as mobile phones, tablet computers, notebook computers, ultra-mobile personal computer (UMPC) and netbooks, and the specific type of the terminal equipment is not limited.
Referring to fig. 1, fig. 1 shows a flowchart of an implementation of a method for generating a patrol track according to an embodiment of the present application, where the method includes the following steps:
s101, acquiring a plurality of first position sets, wherein each first position set comprises a plurality of first positions of a user within a first preset time period, and the first positions have corresponding distances.
In the application, the first preset duration may be a duration preset by a user according to an actual situation, or may be a duration customized by the terminal device, which is not limited. The terminal device can collect the complete track data (a plurality of first position sets) of the user through the self-set positioning device, and then store the complete track data in a storage area of the terminal device. Then, the terminal device may acquire the first location set from the storage area every a first preset duration. Or, the first location set may be that the positioning device of the terminal device obtains the first location set generated by the first location of the user within a first preset time period every second preset time period, and uploads the first location set to the terminal device every first preset time period, which is not limited. In addition, the corresponding distances among the first positions can be considered to be generated by the positioning device by adopting the first positions of the user every second preset time.
In the application, the first preset duration and the second preset duration may be durations preset by a user or durations preset by the terminal device, which are not limited. Specifically, the first preset duration may be 10min, and the second preset duration may be 2s. The second preset duration is set to 2s, and the second preset duration can be used for enabling the terminal equipment to have enough time to process the first position on the basis that the terminal equipment can form continuous track data after acquiring the first position of the user.
In other applications, the first location may be acquired by the positioning device in the form of latitude and longitude, and then acquired by the terminal device. In addition, in the actual process, the positioning device may have a problem of signal interference in the first position of the user in the acquisition process, so that the acquired first position has interference. Therefore, the terminal device can further obtain a more accurate first position after performing filtering processing on the obtained initial position. The filtering process for the initial position may be a kalman filtering or median filtering method, which is not limited.
S102, deleting abnormal data in the plurality of first position sets according to the distances among the plurality of first positions to obtain a plurality of second position sets.
In an application, in each first location, there may be a positioning device generating mispositioning data due to a geographical location signal difference, generating a wrong first location. Thus, the preliminary exclusion may be performed based on the distance between the respective first positions. Specifically, for the first position acquired every 2S in S101, the user may set the preset distance threshold value of 1.2m per second without the aid of the vehicle as an adult under normal conditions. I.e. when the positioning device collects the first positions of the user every 2s, the distance difference between its neighboring first positions should be within 2.4 m. In practical cases, the user as a patrol person should have a moving distance of less than 1.2m per second when checking the patrol object in detail. Thus, for a plurality of first positions, the abnormal data may be deleted from the first position sets based on the distance between adjacent first positions, and the remaining first positions in each of the first position sets may be regarded as position data in the second position set. The preset distance threshold is only one example, and specific values can be set according to actual situations.
S103, performing dilution processing on the plurality of second position sets based on the initial second position and the final second position in the plurality of second position sets to obtain a third position set.
In the application, for a plurality of first positions included in the first position set, after the abnormal data is deleted, a plurality of first positions are also present as second positions of the second position set. However, for most of the second positions, there may be some continuous period of time for which the user is in straight walking position data acquired. Thus, not all of the plurality of second positions within the time period may be displayed. Specifically, the first preset duration may be 10min, and when the patrol object is a large reservoir, the length of a straight line enclosed by the large reservoir is closer to the length of a distance travelled by the user for 10 min. Thus, the terminal device may perform the dilution processing on the second set of positions corresponding to the period of time. The diluting process may be deleting the remaining second positions within 10min, and reserving the initial second position at the initial time within 10min and the final second position at the final time within 10min as the position data in the third position set.
Based on the above explanation of step S103, it is known that, after deleting the abnormal data for a first location set, a second location set is obtained, and in the step of deleting the redundant data for the second location set, the initial second location and the final second location in the second location set are used as the location data in the third location set. In the case of having a plurality of first position sets, a plurality of third position sets may be obtained, or it may be considered that the initial second position and the final second position in each of the second position sets are each set of position data in one third position set, which is not limited thereto.
When the terminal device acquires the first location set, the abnormal data is deleted from the first location set. Thus, the initial second location at the initial time in the second set of locations may not coincide with the first location at the initial time in the first set of data. Accordingly, the second location of the termination time in the second set of locations may not coincide with the first location of the termination time in the first set of data.
S104, generating a patrol track by adopting the position data in the third position set.
In the application, the position data in the third position set has corresponding acquisition time, and the patrol track can be generated according to the acquisition time and the position data.
In other applications, when the patrol track needs to be loaded and displayed, the third position set is generated by removing abnormal data and redundant data from a plurality of first positions in the first position set. Therefore, the generated patrol track reduces the data volume of the position data to be loaded, so that the loading speed of loading the third position set can be improved, and the loading time of the third position set is reduced. In addition, in order to enable the terminal device to load the patrol track better according to the position data in the third position set, the user can buffer related geographic information data such as roads, risk sources, pollution sources and the like of all patrol objects into the terminal device in advance when the terminal device loads the map module. And then, when the patrol track is loaded according to the third position set, the map module can be directly loaded from the terminal equipment, and the patrol track is sequentially generated by matching with longitude, latitude and time information of each position data in the third position set.
In this embodiment, according to the obtained first positions in the plurality of first position sets and the corresponding distances between the first positions, the plurality of second position sets corresponding to the abnormal data are deleted, and according to the initial second position and the final second position in each second position set, the second position sets are diluted to obtain the third position set, so that the generated inspection track is realized, the track information of the user can be accurately represented, the number of track points can be reasonably reduced, and the display effect of the inspection track is optimized.
Referring to fig. 2, in an embodiment, S101 acquires a plurality of first location sets, which specifically includes the following sub-steps S201-S203, which are described in detail below:
s201, receiving a selection instruction of a user, and determining a patrol starting point of a patrol object according to the selection instruction.
In application, the above-mentioned patrol objects may be areas such as rivers, reservoirs, protected areas, etc., and the patrol objects may be plural, and one of them may be determined as the patrol object at the current moment according to the selection instruction of the user. The above-mentioned inspection starting point may be the initial position of the user when officially inspecting the inspection object, or may be a plurality of inspection points set in each inspection object, where the inspection point selected by the user is the inspection starting point. The patrol points may be sites established for patrol objects. For example, for large reservoirs, a significant amount of time is required to make a complete inspection. Therefore, a plurality of inspection points can be established at reasonable positions of the reservoir to cooperate with users for inspection. Generally, when determining the patrol object, the terminal device may obtain the geographical location information of the patrol object and the location information of each patrol point of the patrol object at the same time, and the user may input a selection instruction through the terminal device, and may further use the nearest patrol point as the patrol start point on the basis of determining the patrol object.
S202, if a patrol instruction of the user is received, acquiring an initial position of the user at the current moment.
And S203, acquiring the plurality of first position sets every the first preset duration when the initial position is consistent with the patrol starting point.
In application, the above-mentioned patrol instruction is used to indicate that the user formally enters a patrol range (reaches a patrol start point) and starts to execute a patrol job. After receiving the patrol instruction, the terminal device can acquire the initial position of the user at the current moment and compare the initial position with the position of the patrol starting point predetermined by the user. When it is determined that the distance between the two is within a certain distance range, it may be determined that the user has reached the patrol start point, and then the execution of step S101 is started. If the initial position is inconsistent with the patrol starting point, the terminal equipment can remind the user. For example, modes such as vibration, sound and the like are generated to remind the user that the user does not reach the patrol start point, whether the patrol instruction of the user is received or not is monitored again, and therefore the situation that the terminal equipment collects position data of a non-patrol track and then redundant patrol tracks exist in the whole generated patrol track can be avoided.
Referring to fig. 3, in a specific embodiment, S102 deletes abnormal data in the plurality of first location sets according to distances between the plurality of first locations to obtain a plurality of second location sets, and specifically includes the following substeps S301-S305, which are described in detail below:
S301, acquiring a current first position acquired at the current moment in the first position set, and acquiring an adjacent first position acquired before the current moment.
In the application, when the terminal equipment acquires the first position set and processes each data in the first position set in sequence, the first position processed at the current moment is the current first position, and the adjacent first position acquired before the current moment is the adjacent first position processed at the previous moment.
S302, calculating a first distance between the current first position and the adjacent first position, and calculating and acquiring a time interval between the current first position and the adjacent first position;
in the application, each first location has specific geographic information such as longitude, latitude and the like, and time information when the first location is acquired. Thus, the first distance may be calculated based on the geographical information of the current first location and the geographical information of the neighboring first locations, and the time interval may be calculated based on the time information of the current first location and the event information of the neighboring first locations.
S303, determining an error threshold according to the time interval.
In application, S102 above has illustrated that the distance the user walks within a certain time should be within a reasonable distance range, and thus, the error threshold may be determined according to the time interval. Specifically, the terminal device may store association tables of a plurality of time intervals and corresponding error thresholds in advance, and the terminal device may determine the error threshold according to the current time interval.
S304, if the first distance is greater than or equal to the error threshold, deleting the current first position acquired at the current moment;
in application, the above S101 details that the first position is acquired once every second preset time period, however, in actual situations, the time interval is not necessarily the second preset time period. Specifically, under normal conditions, the current first position and the adjacent first position acquired at the current moment should be separated by a second preset duration. However, if it is calculated that the first distance between the current first position and the adjacent first position exceeds the error threshold, that is, exceeds the error threshold corresponding to the first preset duration, the value set in S102 may be referred to by 2.4m, and the current first position collected at the current time is considered to belong to abnormal data, so that the abnormal data needs to be deleted.
It should be noted that, for the next first position, the time interval should be two second preset durations at the next adjacent first position acquired at the previous time. I.e. the error threshold determined from the time interval should be an integer multiple (twice) of the error threshold corresponding to a second preset time period, i.e. the error threshold when redetermined to be 4.8m. If the calculated first distance is greater than or equal to the error threshold, step S304 is performed again. Otherwise, the method is used for controlling the power supply. And S305, if the first distance is smaller than the error threshold, reserving the current first position acquired at the current moment as a second position in the second position set.
In this embodiment, by acquiring the first positions in the plurality of first position sets and the corresponding distance between each first position, deleting the abnormal data to obtain a plurality of second position sets, so as to realize that the generated patrol track of the terminal device can accurately represent the track information of the user, reasonably reduce the number of track points, and optimize the display effect of the patrol track.
Referring to fig. 4, in a specific embodiment, S103 performs a dilution process on the plurality of second location sets based on the initial second location and the final second location in the plurality of second location sets to obtain a third location set, and specifically includes the following substeps S401-S407, which are described in detail below:
s401, generating a plurality of track line segments according to the initial second positions and the ending second positions in the second position sets, wherein each track line segment points to the ending second position from the initial second position in one second position set.
In application, each track segment is generated by an initial second position and a final second position in the corresponding second position set, namely, by a first second position and a last second position in each second position set. In addition, except for the first second position set and the last second position set, the initial second position in each second position set may be considered as the final second position in the last adjacent second position set, and the final second position in each second position set may be considered as the initial second position in the next adjacent second position set.
S402, calculating a plurality of track distances between the rest of the second positions in the second position set and the target track line segment, wherein the target track line segment is any track line segment in the plurality of track line segments.
In application, the target track segment is any track segment of the track segments in S401. The remaining second locations are each a second location set, which is located between an initial second location and a final second location, from which the target track line segment is generated pointing to the final second location. Thus, the remaining second positions, which are between the initial second position and the final second position, may also be on the target track line segment or may be outside the target track line segment, which may be determined by calculating the track distance of each remaining second position from the target track line segment.
Specifically, in determining the initial second position a and the final second position B in each second data set, a linear equation may be established according to the position information thereof, so as to obtain the track expression of the target track segment AB. And then, according to the existing point-to-straight line distance formula and the position information of each other second position, calculating the straight line distance between each other second position and the target track line segment respectively, namely the track distance.
S403, determining the maximum track distance in the track distances.
S404, if the maximum track distance is smaller than a preset distance, deleting the rest second positions in the target track line segment, and taking the initial second position and the ending second position in the target track line segment as position data in the third position set.
In the application, after a plurality of track distances between the rest of the second positions in each second position set and the corresponding target track line segment are calculated, the maximum value of the track distances in the corresponding target track line segment can be further determined, namely the maximum track distance.
In an application, after determining the maximum track distance, a comparison may be made with a preset distance. If the maximum track distance is smaller than the preset distance, the rest second positions are represented to be close to or located on the target track line segment AB in a wireless mode. Because the patrol road of the large reservoir is generally wider, the patrol route of the user during patrol cannot be completely patrol along a straight line. It is considered that the user's tour route may approximately belong to a straight line when the maximum trajectory distance is less than the preset distance. Thus, the second set of locations may be correspondingly represented by the target track segment AB, i.e., representing the user's tour track over the period of time. The remaining second locations may then be deleted, leaving only the initial second location a and the terminating second location B as location data in the third set of locations.
S405, if the maximum track distance is greater than or equal to the preset distance, acquiring a target second position corresponding to the maximum track distance.
In the application, if the maximum track distance is greater than or equal to the preset distance, the second position of the target corresponding to the maximum track distance is not overlapped with the target track line segment, and cannot be represented by the target track line segment.
S406, generating a first segmentation data set according to the rest of second positions between the initial second position and the target second position, and generating a second segmentation data set according to the rest of second positions between the target second position and the end second position, wherein the first segmentation data set and the second segmentation data set are respectively used as new second position sets.
In the application, after the target second position is acquired, the target track line segment can be divided into two parts, wherein one part is a first segmentation data set generated by the initial second position, the target second position and other second positions between the initial second position and the target second position; the other part is a second segmented data set generated by the target second position, the end second position and the rest of the second positions between the target second position and the end second position. At this time, the first set of segmented data may be considered a new second set of locations, and the target second location in the first set of segmented data is then the ending second location in the new second set of locations. Likewise, the second segmentation data set may also be considered a new second location set, and the target second location in the second segmentation data set may then be considered an initial second location in the new second location set.
S407, performing dilution processing on the new second position set based on the initial second position and the ending second position in the new second position set to obtain a third position set.
In application, for the new second position set described in S406, the dilution process may be performed again based on the initial second position and the final second position in the new second position set until the third position set is obtained, so as to achieve the purpose of removing redundant data.
Specifically, when the target second position C divides the target track segment AB into an AC track segment and a CB track segment, the remaining second positions between the AC track segments may be considered to belong to the first segmentation data set, and the remaining second positions between the CB track segments may belong to the second segmentation data set. Thereafter, calculating the track distances of the remaining second positions in each second position set and the corresponding track line segments (the first segmentation data set or the second segmentation data set) is performed again, and the maximum track distance is determined from the respective track distances and the subsequent steps. If the maximum track distance between each second position in the first segmentation data set and the AC track line segment is smaller than the preset distance, the track line segment AC can be used for representing the first segmentation data set, the rest second positions in the first segmentation data set are deleted, and only the initial second position A and the target second position C are reserved as position data in the third position set. If the maximum track distance between each second position in the first segmentation data set and the AC track line segment is greater than or equal to the preset distance, the second position corresponding to the maximum track distance is taken as the target second position again, and the steps S401 to S407 are executed again. Similarly, the above steps are performed for the CB trace line segment and the second split data set as well, which will not be described in detail.
In application, after the steps are executed, the dividing point (the target second position corresponding to the maximum track distance) in each second position set can be correspondingly obtained. Finally, the location data in the third set of locations may be considered as an initial second location in the second set of locations (including the new second set of locations) and a final second location. It should be noted that, the ending second position in the current time period is the initial second position in the next time period. Therefore, the position data in the third position set can be sequentially connected in time sequence, and the whole patrol track can be obtained.
In other applications, determining the walking direction of the user according to the first position in the first position set at the adjacent time is also performed, where the first position is a vector, and the first position further includes walking direction information of the user. In the process of patrol, if the user finds that the patrol object has dangerous hidden danger, photographing treatment is needed, and a repeatedly walking route may be generated. Therefore, after determining the target second position in each second position set, when deleting the other second positions, determining the back route of the user according to the second positions in adjacent time, and the initial time corresponding to the initial back route and the final time corresponding to the final back route. And then when the patrol track is generated, carrying out heterochromatic treatment on the round walking track (the color of the round walking track in the patrol track is red and the rest track line segments are normal green) according to the corresponding time point of the round walking track in the patrol track so as to assist a user in observing and analyzing the patrol track.
Referring to fig. 5, in an embodiment, after S104 uses the position data in the third position set to generate a patrol track, the following steps S501-S502 are further included, which are described in detail as follows:
s501, acquiring a plurality of pieces of patrol information input by the user, and storing the plurality of pieces of patrol information into a first database, wherein the plurality of pieces of patrol information are used for describing the patrol track.
In application, the above-mentioned patrol information includes, but is not limited to, patrol task number, current patrol person, patrol time, track sequence, etc., which is used to describe the patrol track. And the target patrol information is one or more of patrol information. The first database may be a relational database, where the relational database is a database based on a relational data model, and the data in the database is processed by means of concepts and methods such as set algebra. It is specifically understood that, for the above-mentioned plurality of inspection information (inspection task number, current inspection person, inspection time, track sequence), after storing the plurality of inspection information in the relational database, the remaining inspection information may be searched according to any one of the inspection information as an index condition. For example, the information such as the current patrol person, the patrol time, the track sequence and the like can be searched according to the patrol task number, namely, the one-to-many mapping relation of each patrol information is established.
S502, determining target patrol information in the plurality of patrol information, and storing the target patrol information and the third position set in a second database correspondingly.
In application, the second database is specifically a memory database, where the memory database is a database that stores all contents in a memory of the terminal device, rather than storing data in an external memory, as in a conventional database. Thus, the use of an in-memory database may be used to better protect the data of the terminal device. Specifically, the memory database is an open source and complies with the protocols of the berkeley software release (Berkeley Software Distribution, BSD), a support network, and a distributed storage system (Key-Value) database that can be based on memory or can be persistent. The Key-Value database has the advantages of high query speed, large data storage quantity and high concurrency support, and is very suitable for data query through main conditions. That is, the third location set corresponding to the above-mentioned inspection track is stored in the memory database, and in order to achieve the purpose of fast query speed, a key (target query information) may be set as a query condition of value (third location set).
It should be noted that, although the target patrol information and the patrol track are stored in the memory database, the acquired target patrol information may be acquired in the relational database through any one of the plurality of patrol information.
In a specific application, key values (target patrol information) in the memory database may be defined by a patrol task number, and stored using ZSET types. The ZSET type data is orderly assembled, and can be ordered according to time information of each position data in the third position set, so that the terminal equipment can conveniently generate a patrol track according to the position data in the interface in sequence. In addition, when the actual trajectory coordinate values (position data in the third position set) are stored in the memory database, the value is stored in the form of a json string. For example, [ { "arttime": "1579400053408", "laytude": "22.63098080277778": "longitude": "114.00081108940972"},{}]. In order to reduce the content of the memory, the key values of the json strings such as "artime" (time information), "latitude" (longitude information), "longitude" (latitude information), etc. may be represented by letters a, B, and C, respectively, and stored in the memory database in a simplified manner, so as to achieve the purpose of reducing the actual memory of the data in the memory database.
Referring to fig. 6, in one embodiment, the second database includes a plurality of patrol trajectories generated by a plurality of third location sets; after generating the patrol track by using the position data in the third position set in S104, the method further includes the following steps S601-S602, which are described in detail as follows:
S601, inquiring target patrol information conforming to the inquiry conditions and a patrol track corresponding to the target patrol information from the second database according to the inquiry conditions.
In application, the patrol track generated by each third position set can be stored in the second database, so that the user can inquire according to the inquiry condition. The above-described target patrol information is one or more patrol information determined from the plurality of patrol information in S501. The query condition may be specific target patrol information, or may be a query condition including target patrol information. For example, for the target patrol information being a patrol time, the query condition may be a certain period, and the patrol time in the period is the target patrol information meeting the query condition. Or the query condition is specific patrol time, and if the patrol time corresponding to the target patrol information is consistent with the specific patrol time, the target patrol information can be determined to be consistent with the query condition.
S602, counting the number of the patrol tracks, and loading the patrol tracks in batches according to the number of the patrol tracks.
In the application, due to the interface display factor of the terminal device, all the patrol tracks cannot be displayed at one time. And under the condition of fixed network bandwidth, the transmission speed of data completely depends on network transmission. Therefore, after the terminal device calculates the number of the patrol tracks, the terminal device can display the number of the patrol tracks preferentially according to the number which can be actually displayed by the display interface of the terminal device after inquiring the patrol tracks meeting the display number. And then carrying out data interaction with the server for multiple times, and loading a certain amount of other patrol tracks on each page in a paging mode to gradually finish the loading of all the patrol tracks. The aim of displaying a plurality of patrol tracks fastest is fulfilled while the patrol track data query is satisfied.
In addition, the data transmission can be performed in a compressed mode in the process of transmitting the data to the terminal equipment by the server. The compression mode may specifically be a GZIP compression mode, because the Http protocol supports data compression transmission. Therefore, only the parameters of the corresponding compression modes are preset in the request message of the terminal equipment, and then the server responds to the parameters obtained by analyzing the request message by using the compression modes corresponding to the parameters to compress the third position set. Normally, the pure text content can be compressed to 40% of the original content by using the GZIP compression mode, so that 60% of data transmission is saved.
In other applications, after the corresponding patrol track is queried according to the query condition, the queried patrol track can be cached under the target path by utilizing the cache function of the terminal equipment. In the subsequent query process, if the current query condition is the same as the previous query condition, the patrol track can be directly loaded from the target path, so that the time in the query, data loading and data transmission processes of the patrol track is reduced.
In a specific embodiment, abnormal data deletion is performed on a plurality of first positions in a plurality of first position sets to obtain a second position set, track data is reduced preliminarily, then dilution processing is performed on the second position set again based on an initial second position in the second position set and a terminal second position to obtain a third position set, track data is further reduced, and the position data in the third position set is used for generating a patrol track. And then, the patrol track and the target patrol information are respectively stored in a memory database, so that the inquiry of a user on the patrol track can be quickened. And the inquired inspection track is loaded in batches, the loaded inspection track is transmitted in a compressed mode, the transmission time in the data transmission process is reduced (wherein, after the first position set is subjected to abnormal data deletion and dilution treatment, the position data in the second position set is reduced, the compressed transmission content is less, and the transmission time can be further reduced), and the aim that the terminal equipment can display a plurality of inspection tracks fastest while meeting the requirement of inquiring the inspection track can be fulfilled.
Referring to fig. 7, fig. 7 is a block diagram of a patrol track generating device according to an embodiment of the application. The patrol trajectory generation device in this embodiment includes units for executing the steps in the embodiments corresponding to fig. 1 to 6. Please refer to fig. 1 to 6 and the related descriptions in the embodiments corresponding to fig. 1 to 6. For convenience of explanation, only the portions related to the present embodiment are shown. Referring to fig. 7, the patrol trajectory generating device 700 includes: an acquisition module 710, a deletion module 720, a dilution module 730, and a generation module 740, wherein:
the obtaining module 710 is configured to obtain a plurality of first location sets, where each first location set includes a plurality of first locations of the user within a first preset duration, and the plurality of first locations have a corresponding distance therebetween.
And a deleting module 720, configured to delete the abnormal data in the plurality of first location sets according to the distances between the plurality of first locations, to obtain a plurality of second location sets.
And a dilution module 730, configured to perform dilution processing on the plurality of second location sets based on the initial second location and the final second location in the plurality of second location sets, to obtain a third location set.
And a generating module 740, configured to generate a patrol track by using the location data in the third location set.
In one embodiment, the obtaining module 710 is further configured to:
receiving a selection instruction of a user, and determining a patrol starting point of a patrol object according to the selection instruction;
if the patrol instruction of the user is received, acquiring the initial position of the user at the current moment;
and when the initial position is consistent with the patrol starting point, acquiring the plurality of first position sets every the first preset duration.
In one embodiment, the deletion module 720 is further configured to:
acquiring a current first position acquired at the current moment in the first position set, and acquiring an adjacent first position acquired before the current moment;
calculating a first distance between the current first position and the adjacent first position, and calculating and acquiring a time interval between the current first position and the adjacent first position;
determining an error threshold according to the time interval;
if the first distance is greater than or equal to the error threshold, deleting the current first position acquired at the current moment;
and if the first distance is smaller than the error threshold, reserving the current first position acquired at the current moment as a second position in the second position set.
In one embodiment, the dilution module 730 is further configured to:
generating a plurality of track line segments according to the initial second positions and the final second positions in the plurality of second position sets, wherein each track line segment points to the final second position from the initial second position in one second position set;
for a target track line segment, calculating a plurality of track distances between the rest second positions in the second position set and the target track line segment, wherein the target track line segment is any track line segment in the plurality of track line segments;
determining a maximum track distance of the plurality of track distances;
and if the maximum track distance is smaller than the preset distance, deleting the rest second positions in the target track line segment, and taking the initial second position and the ending second position in the target track line segment as position data in the third position set.
In one embodiment, the dilution module 730 is further configured to:
if the maximum track distance is greater than or equal to the preset distance, acquiring a target second position corresponding to the maximum track distance;
generating a first segmentation data set according to the rest of second positions between the initial second position and the target second position, and generating a second segmentation data set according to the rest of second positions between the target second position and the end second position, wherein the first segmentation data set and the second segmentation data set are respectively used as new second position sets;
And diluting the new second position set based on the initial second position and the ending second position in the new second position set to obtain a third position set.
In an embodiment, the patrol trajectory generating device 700 further includes:
the first storage module is used for acquiring a plurality of pieces of patrol information input by the user and storing the plurality of pieces of patrol information into the first database, and the plurality of pieces of patrol information are used for describing the patrol track.
And the second storage module is used for determining target patrol information in the plurality of patrol information and storing the target patrol information and the third position set into a second database correspondingly.
In an embodiment, the second database includes a plurality of patrol trajectories generated by a plurality of third location sets; the patrol trajectory generation device 700 further includes:
and the query module is used for querying target patrol information conforming to the query conditions and a patrol track corresponding to the target patrol information from the second database according to the query conditions.
The loading module is used for counting the number of the patrol tracks and loading the patrol tracks in batches according to the number of the patrol tracks.
It should be understood that, in the block diagram of the inspection track generating device shown in fig. 7, each unit/module is configured to perform each step in the embodiment corresponding to fig. 1 to 6, and each step in the embodiment corresponding to fig. 1 to 6 is explained in detail in the foregoing embodiment, and specific reference is made to fig. 1 to 6 and related descriptions in the embodiment corresponding to fig. 1 to 6, which are not repeated herein.
Fig. 8 is a block diagram of a terminal device according to another embodiment of the present application. As shown in fig. 8, the terminal device 80 of this embodiment includes: a processor 81, a memory 82 and a computer program 83 stored in the memory 82 and executable on the processor 81, such as a program of a patrol trajectory generation method. The steps in the embodiments of the above-described respective patrol trajectory generation methods are implemented when the processor 81 executes the computer program 83, for example, S101 to S104 shown in fig. 1. Alternatively, the processor 81 may perform the functions of the units in the embodiment corresponding to fig. 7, for example, the functions of the units 710 to 740 shown in fig. 7, when executing the computer program 83, and refer to the related description in the embodiment corresponding to fig. 7.
By way of example, the computer program 83 may be divided into one or more units, one or more units being stored in the memory 82 and executed by the processor 81 to complete the present application. One or more of the elements may be a series of computer program instruction segments capable of performing a specific function for describing the execution of the computer program 83 in the terminal device 80. For example, the computer program 83 may be divided into an acquisition module, a deletion module, a dilution unit module, and a generation module, each module unit functioning specifically as above.
The terminal device may include, but is not limited to, a processor 81, a memory 82. It will be appreciated by those skilled in the art that fig. 8 is merely an example of a terminal device 80 and is not intended to limit the terminal device 80, and may include more or fewer components than shown, or may combine certain components, or different components, e.g., the terminal device may further include an input-output device, a network access device, a bus, etc.
The processor 81 may be a central processing unit, but may also be other general purpose processors, digital signal processors, application specific integrated circuits, off-the-shelf programmable gate arrays or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The memory 82 may be an internal storage unit of the terminal device 80, such as a hard disk or a memory of the terminal device 80. The memory 82 may also be an external storage device of the terminal device 80, such as a plug-in hard disk, a smart memory card, a secure digital card, a flash memory card, etc. provided on the terminal device 80. Further, the memory 82 may also include both an internal storage unit and an external storage device of the terminal device 80.
The above embodiments are only for illustrating the technical solution of the present application, and are not limiting; although the application has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present application, and are intended to be included in the scope of the present application.
Claims (8)
1. A patrol trajectory generation method, comprising:
acquiring a plurality of first position sets, wherein each first position set comprises a plurality of first positions of a user within a first preset time period, and the first positions have corresponding distances;
deleting abnormal data in the plurality of first position sets according to the distances among the plurality of first positions to obtain a plurality of second position sets;
diluting the plurality of second position sets based on the initial second positions and the final second positions in the plurality of second position sets to obtain a third position set;
generating a patrol track by adopting the position data in the third position set;
The diluting the plurality of second position sets based on the initial second position and the final second position in the plurality of second position sets to obtain a third position set, including:
generating a plurality of track line segments according to the initial second positions and the final second positions in the plurality of second position sets, wherein each track line segment points to the final second position from the initial second position in one second position set; for a target track line segment, calculating a plurality of track distances between the rest second positions in the second position set and the target track line segment, wherein the target track line segment is any track line segment in the plurality of track line segments; determining a maximum track distance of the plurality of track distances; if the maximum track distance is smaller than the preset distance, deleting the rest second positions in the target track line segment, and taking the initial second position and the ending second position in the target track line segment as position data in the third position set; if the maximum track distance is greater than or equal to the preset distance, acquiring a target second position corresponding to the maximum track distance; generating a first segmentation data set according to the rest of second positions between the initial second position and the target second position, and generating a second segmentation data set according to the rest of second positions between the target second position and the end second position, wherein the first segmentation data set and the second segmentation data set are respectively used as new second position sets; and diluting the new second position set based on the initial second position and the ending second position in the new second position set to obtain a third position set.
2. The patrol trajectory generation method as recited in claim 1, wherein said acquiring a plurality of first position sets comprises:
receiving a selection instruction of a user, and determining a patrol starting point of a patrol object according to the selection instruction;
if the patrol instruction of the user is received, acquiring the initial position of the user at the current moment;
and when the initial position is consistent with the patrol starting point, acquiring the plurality of first position sets every the first preset duration.
3. The method for generating a patrol trajectory as claimed in claim 1, wherein said deleting abnormal data in said plurality of first location sets according to distances between said plurality of first locations, to obtain a plurality of second location sets, comprises:
acquiring a current first position acquired at the current moment in the first position set, and acquiring an adjacent first position acquired before the current moment;
calculating a first distance between the current first position and the adjacent first position, and calculating and acquiring a time interval between the current first position and the adjacent first position;
determining an error threshold according to the time interval;
if the first distance is greater than or equal to the error threshold, deleting the current first position acquired at the current moment;
And if the first distance is smaller than the error threshold, reserving the current first position acquired at the current moment as a second position in the second position set.
4. A patrol trajectory generation method as recited in any one of claims 1 to 3, wherein after generating a patrol trajectory using the position data in the third position set, further comprising:
acquiring a plurality of pieces of patrol information input by the user, and storing the plurality of pieces of patrol information into a first database, wherein the plurality of pieces of patrol information are used for describing the patrol track;
and determining target patrol information in the plurality of patrol information, and storing the target patrol information and the third position set in a second database correspondingly.
5. The patrol trajectory generation method of claim 4, wherein said second database comprises a plurality of patrol trajectories generated by a plurality of third location sets;
after generating the patrol track by using the position data in the third position set, the method further comprises:
inquiring target patrol information conforming to the inquiry conditions and a patrol track corresponding to the target patrol information from the second database according to the inquiry conditions;
Counting the number of the patrol tracks, and loading the patrol tracks in batches according to the number of the patrol tracks.
6. A patrol trajectory generation device, characterized by comprising:
the system comprises an acquisition module, a storage module and a display module, wherein the acquisition module is used for acquiring a plurality of first position sets, each first position set comprises a plurality of first positions of a user within a first preset time period, and the first positions have corresponding distances;
the deleting module is used for deleting the abnormal data in the plurality of first position sets according to the distances among the plurality of first positions to obtain a plurality of second position sets;
the dilution module is used for carrying out dilution processing on the plurality of second position sets based on the initial second position and the termination second position in the plurality of second position sets to obtain a third position set;
the generation module is used for generating a patrol track by adopting the position data in the third position set;
the dilution module is further configured to:
generating a plurality of track line segments according to the initial second positions and the final second positions in the plurality of second position sets, wherein each track line segment points to the final second position from the initial second position in one second position set; for a target track line segment, calculating a plurality of track distances between the rest second positions in the second position set and the target track line segment, wherein the target track line segment is any track line segment in the plurality of track line segments; determining a maximum track distance of the plurality of track distances; if the maximum track distance is smaller than the preset distance, deleting the rest second positions in the target track line segment, and taking the initial second position and the ending second position in the target track line segment as position data in the third position set; if the maximum track distance is greater than or equal to the preset distance, acquiring a target second position corresponding to the maximum track distance; generating a first segmentation data set according to the rest of second positions between the initial second position and the target second position, and generating a second segmentation data set according to the rest of second positions between the target second position and the end second position, wherein the first segmentation data set and the second segmentation data set are respectively used as new second position sets; and diluting the new second position set based on the initial second position and the ending second position in the new second position set to obtain a third position set.
7. A terminal device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the processor implements the method according to any of claims 1 to 6 when executing the computer program.
8. A computer readable storage medium storing a computer program, characterized in that the computer program when executed by a processor implements the method according to any one of claims 1 to 6.
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| CN117076593A (en) * | 2023-10-18 | 2023-11-17 | 中微智创(北京)软件技术有限公司 | Dynamic target track multistage construction and storage method based on memory database |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102270067A (en) * | 2011-06-17 | 2011-12-07 | 清华大学 | Contact track fusion method of multiple hierarchical cameras on interactive surface |
| CN102707300A (en) * | 2012-06-05 | 2012-10-03 | 大唐移动通信设备有限公司 | Method, device and system for optimizing GPS track |
| CN104075709A (en) * | 2013-03-29 | 2014-10-01 | 百度在线网络技术（北京）有限公司 | Moving track determining method and device based on sparse track point data |
| CN105808759A (en) * | 2016-03-15 | 2016-07-27 | 中国农业大学 | Trajectory mining oriented data preprocessing method and system |
| CN106201314A (en) * | 2016-06-30 | 2016-12-07 | 成都东方闻道科技发展有限公司 | A kind of display packing realizing handwriting input on touch screen and display device |
| CN110580388A (en) * | 2019-08-28 | 2019-12-17 | 北方工业大学 | Channel network extraction method based on crowd-sourced trajectory data |
| CN111123336A (en) * | 2019-09-26 | 2020-05-08 | 深圳市东深电子股份有限公司 | Water conservancy patrol positioning and offline track optimization method |
| CN111203854A (en) * | 2019-12-27 | 2020-05-29 | 深圳市越疆科技有限公司 | Robot track reproduction method, control device, equipment and readable storage medium |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US8195393B2 (en) * | 2009-06-30 | 2012-06-05 | Apple Inc. | Analyzing and consolidating track file data |
| US20150286663A1 (en) * | 2014-04-07 | 2015-10-08 | VeDISCOVERY LLC | Remote processing of memory and files residing on endpoint computing devices from a centralized device |
-
2020
- 2020-12-30 CN CN202011627768.3A patent/CN112699196B/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102270067A (en) * | 2011-06-17 | 2011-12-07 | 清华大学 | Contact track fusion method of multiple hierarchical cameras on interactive surface |
| CN102707300A (en) * | 2012-06-05 | 2012-10-03 | 大唐移动通信设备有限公司 | Method, device and system for optimizing GPS track |
| CN104075709A (en) * | 2013-03-29 | 2014-10-01 | 百度在线网络技术（北京）有限公司 | Moving track determining method and device based on sparse track point data |
| CN105808759A (en) * | 2016-03-15 | 2016-07-27 | 中国农业大学 | Trajectory mining oriented data preprocessing method and system |
| CN106201314A (en) * | 2016-06-30 | 2016-12-07 | 成都东方闻道科技发展有限公司 | A kind of display packing realizing handwriting input on touch screen and display device |
| CN110580388A (en) * | 2019-08-28 | 2019-12-17 | 北方工业大学 | Channel network extraction method based on crowd-sourced trajectory data |
| CN111123336A (en) * | 2019-09-26 | 2020-05-08 | 深圳市东深电子股份有限公司 | Water conservancy patrol positioning and offline track optimization method |
| CN111203854A (en) * | 2019-12-27 | 2020-05-29 | 深圳市越疆科技有限公司 | Robot track reproduction method, control device, equipment and readable storage medium |
Non-Patent Citations (4)
| Title |
|---|
| Mahmoud Ezzat 等.Building road segments and detecting turns from GPS tracks.《Journal of Computational Science》.2018,第29卷81-93. * |
| Min Deng 等.Generating urban road intersection models from low-frequency GPS trajectory data.《International Journal of Geographical Information Science》.2018,第32卷(第12期),2337-2361. * |
| 李艳.面向特定目标的行人轨迹分析系统设计与实现.《中国优秀硕士学位论文全文数据库 信息科技辑》.2018,(第09期),I138-354. * |
| 陈晓鹏.基于手机时空轨迹数据的用户移动模式分析与研究.《中国优秀硕士学位论文全文数据库信息科技辑》.2019,(第01期),I138-1968. * |
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