CN112213755A - GPS information processing method, device, computer equipment and storage medium - Google Patents
GPS information processing method, device, computer equipment and storage medium Download PDFInfo
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- G01S19/00—Satellite radio beacon positioning systems; Determining position, velocity or attitude using signals transmitted by such systems
- G01S19/38—Determining a navigation solution using signals transmitted by a satellite radio beacon positioning system
- G01S19/39—Determining a navigation solution using signals transmitted by a satellite radio beacon positioning system the satellite radio beacon positioning system transmitting time-stamped messages, e.g. GPS [Global Positioning System], GLONASS [Global Orbiting Navigation Satellite System] or GALILEO
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- G01S19/01—Satellite radio beacon positioning systems transmitting time-stamped messages, e.g. GPS [Global Positioning System], GLONASS [Global Orbiting Navigation Satellite System] or GALILEO
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Abstract
The invention relates to the technical field of big data, in particular to a GPS information processing method, a device, equipment and a storage medium. The GPS information processing method comprises the steps of receiving GPS information carrying a user identifier and a terminal identifier; according to the terminal identification and the user identification, judging the effective state of the GPS information, and if the GPS information is in the effective state, generating an exhibition trajectory graph corresponding to the user identification according to the GPS information; wherein, the exhibition industry locus diagram comprises a target locus point; the target track point is used for indicating the real-time position of the user; determining a recommended exhibition range corresponding to the target track point according to the target track point; and displaying the recommended exhibition scope on a user terminal corresponding to the user identifier. The method can effectively improve the exhibition efficiency of the exhibition personnel and enable the manager to timely master the exhibition position of the exhibition personnel in the group to go out of the exhibition so as to effectively manage the exhibition situation of the exhibition personnel all day long.
Description
Technical Field
The invention relates to the technical field of big data, in particular to a GPS information processing method, a GPS information processing device, computer equipment and a storage medium.
Background
At present, when most exhibition workers of enterprises or institutions go out of exhibition, the exhibition efficiency is low and the effectiveness of the exhibition cannot be ensured due to the fact that no detailed path planning is available or exhibition places are not appropriate. In addition, the exhibition staff generally needs to report the position actively at a fixed time or take a picture to punch a card on duty, so that the workload of the exhibition staff is increased, and the exhibition staff generally reports the position actively at the fixed time, so that a manager cannot master the exhibition position of the exhibition staff in the group in real time, and the exhibition situation of the exhibition staff out all day cannot be effectively managed.
Disclosure of Invention
The embodiment of the invention provides a GPS information processing method, a GPS information processing device, computer equipment and a storage medium, and aims to solve the problems that the exhibition efficiency of exhibition workers is low at present, and a manager cannot effectively manage the entire day exhibition situation of the outdoor exhibition workers.
A GPS information processing method, comprising:
receiving GPS information carrying user identification and terminal identification;
judging the effective state of the GPS information according to the terminal identification and the user identification;
when the GPS information is in an effective state, generating an exhibition trajectory graph corresponding to the user identification according to the GPS information; wherein, the exhibition industry locus diagram comprises a target locus point; the target track point is used for indicating the real-time position of the user;
determining a recommended exhibition range corresponding to the target track point according to the target track point; the recommended exhibition scope comprises a plurality of recommended track points; the recommended track point is used for indicating the user to perform exhibition business;
and displaying the recommended exhibition scope on a user terminal corresponding to the user identifier.
A GPS information processing apparatus comprising:
the GPS information receiving module is used for receiving GPS information carrying user identification and terminal identification;
the effective state judgment module is used for judging the effective state of the GPS information according to the terminal identification and the user identification;
the track map generation module is used for generating an exhibition track map corresponding to the user identifier according to the GPS information when the GPS information is in an effective state; wherein, the exhibition industry locus diagram comprises a target locus point; the target track point is used for indicating the real-time position of the user;
the recommended exhibition range determining module is used for determining a recommended exhibition range corresponding to the target track point according to the target track point; the recommended exhibition scope comprises a plurality of recommended track points; the recommended track point is used for indicating the user to perform exhibition business;
and the track graph display module is used for displaying the recommended exhibition scope on the user terminal corresponding to the user identifier.
A computer device comprising a memory, a processor and a computer program stored in said memory and executable on said processor, said processor implementing the steps of the above GPS information processing method when executing said computer program.
A computer storage medium storing a computer program which, when executed by a processor, implements the steps of the above-described GPS information processing method.
According to the GPS information processing method, the GPS information processing device, the computer equipment and the storage medium, the GPS information of the exhibition industry personnel going out for exhibition industry is automatically acquired, so that the problem of low working efficiency caused by the fact that the exhibition industry personnel need to actively report the position or shoot a photo and punch the card in fixed time when going out for exhibition industry can be effectively solved, and the working efficiency of the exhibition industry personnel is improved. And then, determining the effective state of the GPS information according to the terminal identification and the user identification so as to ensure the effectiveness of a subsequently generated exhibition trajectory graph. When the GPS information is in an effective state, generating an exhibition trajectory diagram corresponding to the user identification according to the GPS information, so that a manager can visually check the exhibition trajectory of each exhibition worker in the group, and the exhibition situation of the exhibition workers in the group can be managed conveniently; according to the target track points in the exhibition industry track graph, the recommended exhibition industry range corresponding to the target track points is determined, the recommended exhibition industry range is displayed on the user terminal corresponding to the user identification, the recommended exhibition industry range which is high in exhibition industry success rate and close to the current position of the exhibition industry personnel is sent to the user terminal corresponding to the exhibition industry personnel, the exhibition industry efficiency of the business personnel is effectively improved, the exhibition industry range is accurately obtained, and blind searching time is reduced.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the description of the embodiments of the present invention will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to these drawings without inventive labor.
FIG. 1 is a diagram illustrating an application environment of a GPS information processing method according to an embodiment of the present invention;
FIG. 2 is a flowchart of a GPS information processing method according to an embodiment of the present invention;
FIG. 3 is a detailed flowchart of step S201;
FIG. 4 is a detailed flowchart of step S204 in FIG. 2;
FIG. 5 is a detailed flowchart of step S401 in FIG. 4;
FIG. 6 is a flowchart of a method for processing GPS information according to an embodiment of the present invention;
FIG. 7 is a flowchart of a method for processing GPS information according to an embodiment of the present invention;
FIG. 8 is a flowchart of a method for processing GPS information according to an embodiment of the present invention;
FIG. 9 is a diagram of a GPS information processing device according to an embodiment of the present invention;
FIG. 10 is a schematic diagram of a computer device according to an embodiment of the invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The GPS information processing method can be applied in an application environment as shown in fig. 1, in which a computer device communicates with a server through a network. The computer device may be, but is not limited to, various personal computers, laptops, smartphones, tablets, and portable wearable devices. The server may be implemented as a stand-alone server.
In an embodiment, as shown in fig. 2, a GPS information processing method is provided, which is described by taking the server in fig. 1 as an example, and includes the following steps:
s201: and receiving GPS information carrying user identification and terminal identification.
The method can be applied to a exhibition management system, the system can be installed in user terminal equipment to automatically acquire GPS information acquired by the user terminal equipment in real time, and exhibition personnel do not need to actively report positions or take photos for card punching when going out of exhibition, so that the working efficiency is effectively improved; in addition, the proper exhibition service points can be recommended for exhibition service personnel to perform exhibition service according to the GPS information, and the exhibition service effectiveness of the exhibition service personnel is effectively guaranteed.
Specifically, each exhibition worker needs to install an exhibition management APP on the terminal device, and register a user account (such as a UM account), which is used as a user identifier for uniquely identifying the exhibition worker. When the exhibition staff goes out of the exhibition, the APP is required to be logged in, so that the server receives the GPS information acquired by the user terminal equipment in real time. The user terminal device includes, but is not limited to, a mobile phone, a tablet, and the like.
S202: and judging the effective state of the GPS information according to the terminal identification and the user identification.
The terminal identification is used for uniquely identifying the user terminal equipment. Specifically, the server stores personal information of each exhibition person in advance, and the personal information includes, but is not limited to, a user identifier, an exhibition group, a terminal identifier, and the like. Through the currently acquired GPS information carrying the user identification and the terminal identification, whether the GPS information belongs to the exhibition personnel can be judged through the user identification and the terminal identification, if so, the processing state of the GPS information is set to be an effective state, and then an exhibition trajectory graph can be generated according to the GPS information.
In this embodiment, the terminal identifier is obtained and compared with a terminal identifier of an exhibition worker prestored in the system, so as to prevent the problem that the corresponding relationship between the GPS information and the exhibition worker is invalid (i.e., the GPS information is not a unique corresponding relationship) when other user terminal devices log in the user account of the exhibition worker, so that the subsequent exhibition trace map generation according to the GPS information is invalid.
S203: when the GPS information is in an effective state, generating an exhibition trajectory graph corresponding to the user identification according to the GPS information; wherein, the exhibition industry locus diagram comprises a target locus point; the target trace points are used to indicate the real-time location of the user.
Specifically, a third-party tool (such as an echarts tool) is called, and the GPS information is processed to generate an exhibition trajectory graph corresponding to the user identifier. It can be understood that, in the present embodiment, by setting the user right, the targeted management is performed for different user rights. Specifically, different exhibition industry groups can be set for different exhibition industry regions in the organization, each exhibition industry group comprises a plurality of exhibition industry personnel and a manager, and the manager has the right to check the exhibition industry track of each exhibition industry personnel in the group so as to manage the exhibition industry personnel in the group. Different exhibition groups are independent from each other, and the operation permission among the different exhibition groups is limited, namely the exhibition trajectory diagrams of exhibition personnel in the different exhibition groups cannot be checked with each other.
Further, after the exhibition industry trajectory graph is generated, the server determines the exhibition industry group corresponding to the exhibition industry personnel according to the user identification so as to determine the manager corresponding to the exhibition industry group, and sends the exhibition industry trajectory graph to the user terminal corresponding to the manager within a preset synchronous time period, so that the management user can visually check the exhibition industry trajectory of each exhibition industry personnel within a time period. The preset synchronization time period refers to a preset time period for synchronizing the exhibition trajectory graph to the user terminal corresponding to the administrator, for example, 30 minutes, so that the exhibition trajectory graph is synchronized to the administrator every 30 minutes.
In this embodiment, the exhibition industry trajectory diagram is sent to the manager, so that the manager can visually check the exhibition industry trajectory of each exhibition industry person in the group, and the exhibition industry situation of the exhibition industry persons in the group is conveniently managed.
Furthermore, for the exhibition track points which show the successful industry, the product information which shows the successful industry and corresponds to the exhibition track points is recorded, so that a product distribution diagram is generated according to the products and the exhibition track points, the distribution of different products in the city is visually reflected, the product preference degrees of different areas in the city are analyzed, and a data source is provided, so that exhibition personnel can recommend the products in a targeted manner.
S204: determining a recommended exhibition range corresponding to the target track point according to the target track point; the recommended exhibition scope comprises a plurality of recommended track points; and recommending the track points for indicating the user to perform exhibition industry.
And the recommended track points are candidate track points with the exhibition industry success rate higher than a preset success rate threshold. Specifically, according to a target track point, determining a candidate exhibition range which is corresponding to the target track point and is composed of a plurality of buildings (namely candidate track points) which are closer to the target track point; then, according to the exhibition success rate of the candidate track point, a candidate exhibition range is screened, and a recommended exhibition range corresponding to the target track point is determined, so that the recommended exhibition range with higher exhibition success rate and closer to the current position of the exhibition staff is sent to the user terminal corresponding to the exhibition staff, the exhibition efficiency of the business staff is effectively improved, the exhibition range is more accurately obtained, and the blind searching time is reduced.
S205: and displaying the recommended exhibition scope on the user terminal corresponding to the user identifier.
Specifically, the recommended exhibition scope is displayed on the user terminal corresponding to the user identifier, so that the recommended exhibition scope which is high in exhibition success rate and close to the current position of the exhibition staff is sent to the user terminal corresponding to the exhibition staff, the exhibition efficiency of the business staff is effectively improved, the exhibition scope is accurately acquired, and blind searching time is shortened.
In the embodiment, the problem of low working efficiency caused by actively reporting the position or shooting a picture and punching a card when the exhibition staff goes out can be effectively solved by automatically acquiring the GPS information of the exhibition staff going out, and the working efficiency of the exhibition staff is improved. And then, determining the effective state of the GPS information according to the terminal identification and the user identification so as to ensure the effectiveness of a subsequently generated exhibition trajectory graph. When the GPS information is in an effective state, generating an exhibition trajectory diagram corresponding to the user identification according to the GPS information, so that a manager can visually check the exhibition trajectory of each exhibition worker in the group, and the exhibition situation of the exhibition workers in the group can be managed conveniently; according to the target track points in the exhibition industry track graph, the recommended exhibition industry range corresponding to the target track points is determined, the recommended exhibition industry range is displayed on the user terminal corresponding to the user identification, the recommended exhibition industry range which is high in exhibition industry success rate and close to the current position of the exhibition industry personnel is sent to the user terminal corresponding to the exhibition industry personnel, the exhibition industry efficiency of the business personnel is effectively improved, the exhibition industry range is accurately obtained, and blind searching time is reduced.
In an embodiment, as shown in fig. 3, in step 101, that is, receiving GPS information carrying a user identifier and a terminal identifier, the method specifically includes the following steps:
s301: and receiving the GPS information in a preset time period in real time. Or,
s302: and receiving the GPS information according to a preset receiving time interval within a preset time period.
The preset time period is a preset GPS information acquisition time period, for example, 9 am to 16 pm. Specifically, the GPS information corresponding to the exhibition staff can be continuously acquired in real time within the preset time period, and the display precision of the follow-up exhibition trajectory graph is improved. Or, receiving the GPS information carrying the user identifier at a receiving time interval (for example, 20 minutes) within the preset time period, so as to reduce subsequent data processing amount and improve the generation efficiency of the exhibition trajectory graph.
In the embodiment, the GPS information of the exhibition staff is automatically acquired within the preset time period, so that the problem of low working efficiency caused by the fact that the exhibition staff needs to actively report the position or shoot a photo and punch the card at a fixed time when going out to exhibit the industry is effectively solved, and the working efficiency of the exhibition staff is improved.
In an embodiment, as shown in fig. 4, in step S204, that is, according to the target track point, determining the recommended exhibition scope corresponding to the target track point specifically includes the following steps:
s401: determining a candidate exhibition range corresponding to the target track point according to the target track point; wherein the candidate exhibition range comprises a plurality of candidate track points.
The candidate exhibition range refers to a set containing a plurality of candidate track points which are close to the target track point. The candidate trajectory point corresponds to a building. Specifically, according to the longitude and latitude distance between the coordinates corresponding to the target track point and the coordinates corresponding to the building, the track point with the longitude and latitude distance smaller than a preset distance threshold is used as a candidate track point, and a candidate exhibition range close to the target track point is determined.
S402: and screening the candidate exhibition industry range according to the exhibition industry success rate of the candidate track points to remove the candidate track points with the exhibition industry success rate lower than a preset success rate threshold value and determine the recommended exhibition industry range corresponding to the target track points.
The big data platform can store the exhibition industry success rate corresponding to each candidate track point. The exhibition success rate can be counted according to the historical exhibition results of the candidate track points, namely, the historical exhibition results are the calculation results of the successful exhibition quantity/exhibition times as the exhibition success rate of the candidate track points.
Specifically, the exhibition industry success rates corresponding to the candidate track points are sorted from high to low, the candidate track points with the exhibition industry success rate arranged at the top N positions are used as the optimal track points in the candidate exhibition industry range, other track points with low exhibition industry success rates are eliminated, the recommended exhibition industry range with high exhibition industry success rate and close to the current position of the exhibition industry personnel is obtained, the exhibition industry personnel are assisted to perform exhibition industry, the invalid time of the exhibition industry personnel for going out is shortened, and the effectiveness of the exhibition industry is guaranteed.
In an embodiment, as shown in fig. 5, in step S401, that is, according to the target track point, determining a candidate exhibition area closer to the target track point includes the following steps:
s501: and acquiring a target exhibition area corresponding to the user identifier.
Specifically, different exhibition groups correspond to different exhibition areas, map information corresponding to the target exhibition areas is obtained by obtaining the target exhibition areas corresponding to the exhibition personnel, the map information is analyzed, building information and road information near the target track points are obtained, and a plurality of candidate track points close to the target track points are determined according to the building information and the road information.
S502: and reading map information corresponding to the target exhibition area, and analyzing to obtain building information and road information near the target track point.
S503: a plurality of buildings corresponding to the target track points are determined based on the road information.
S504: calculating the longitude and latitude distances between a plurality of buildings and each target track point based on the building information; the building information is used to indicate coordinates of each building.
S505: and if the longitude and latitude distance is smaller than a preset distance threshold, dividing the corresponding building serving as a candidate track point into a candidate exhibition range of the target track point.
The longitude and latitude distance (GPS distance) is a distance between two points calculated according to GPS coordinates corresponding to the building and the target track point. Specifically, longitude and latitude distances between a plurality of corresponding nearby buildings and the target track point are calculated based on the coordinates of the nearby buildings described by the building information; and if the longitude and latitude distance is smaller than a preset distance threshold, the server divides the corresponding nearby buildings into candidate exhibition ranges of the target track points.
The latitude and longitude distance may be calculated, for example, according to latitude and longitude data in the GPS information,
wherein A represents the longitude and latitude corresponding to the coordinates of the building; b represents the longitude and latitude of the target track point; a represents a dimensional difference between two points; b represents a longitude difference between two points; r is the radius of the earth and S is the latitude and longitude distance (kilometers).
If the target track point is the building A, firstly acquiring road information and building information near the building A, wherein the road near the building A is an XX street, selecting a building B near the XX street as a nearby building, calculating the longitude and latitude distance between the building A and the building B, and determining whether the building B is divided into a recommended exhibition range corresponding to the target track point according to the distance of the longitude and latitude distance; and if the longitude and latitude distance is shorter than a preset distance threshold value, for example, less than 200m, dividing the building B as a candidate track point into a recommended exhibition range corresponding to the target track point A.
In one embodiment, the exhibition industry trajectory graph comprises a plurality of exhibition industry trajectory points; as shown in fig. 6, after step S203, the method further includes the following steps:
s601: and responding to the time configuration instruction, and adjusting the receiving time interval according to the indication of the time configuration instruction.
The time configuration instruction is an instruction triggered by the exhibition group manager to configure a receiving time interval, wherein the receiving time interval is used for indicating the time interval for receiving the GPS information. It can be understood that, after the manager receives the exhibition industry trace map, the manager can clearly express the exhibition industry trace of the exhibition personnel according to whether the exhibition industry trace displayed by the current exhibition industry trace map can be clear, if not, the manager can configure the receiving time interval, namely, shorten the time interval to receive more GPS information, improve the display precision of the exhibition industry trace map, or increase the time interval to reduce the acquisition quantity of the GPS information, thereby reducing the intensity of the exhibition industry trace points in the exhibition industry trace map.
S602: and calculating the spacing distance between every two adjacent exhibition track points in the exhibition track graph.
S603: according to the interval distance, counting the exhibition track span; wherein, the exhibition industry track span is used for indicating the intensity of the exhibition industry track points in the exhibition industry track graph.
The separation distance refers to a GPS distance between every two adjacent exhibition trajectory points in the exhibition trajectory diagram, and the separation distance can be calculated by the longitude and latitude distance calculation formula in step S505. Specifically, the acquired distances are judged, if the spacing distance is greater than a first distance threshold value, the span between the two points is considered to be large, the number of the exhibition business track points with large span is counted, and the ratio of the number to the total number of the exhibition business track points is used as the exhibition business track span. The first distance threshold is used for evaluating whether the span between every two adjacent exhibition track points is too large.
S604: and determining the overlapping rate of the track points of the exhibition industry according to the spacing distance.
Specifically, the obtained multiple distances are determined, and if the spacing distance satisfies a second distance threshold (which may be set to 0 or other numbers close to 0, and is not limited here), the overlapping number corresponding to the exhibition trajectory point is incremented by one, and by counting the overlapping number, the ratio of the overlapping number to the total number of the exhibition trajectory points is used as the exhibition trajectory overlapping rate. The second distance threshold is used for evaluating whether each two adjacent exhibition track points are overlapped. It should be noted that the second distance threshold is smaller than the first distance threshold.
S605: and dynamically adjusting the receiving time interval based on the overlapping rate and the exhibition trajectory span.
In this embodiment, the manner of dynamically adjusting the receiving time interval includes, but is not limited to, two adjusting manners, one of which is to consider that the display accuracy of the current exhibition trajectory graph is low if the overlapping rate exceeds the upper limit of a preset overlapping range (e.g., 30% -80%) and/or the exhibition trajectory span exceeds the upper limit of a span range (e.g., 25% -75%), so as to shorten the receiving time interval to receive more GPS information and improve the display accuracy of the exhibition trajectory graph.
If the overlapping rate is smaller than the lower limit of the preset overlapping range (such as 30% -80%) and/or the exhibition trajectory span is smaller than the lower limit of the span range (such as 25% -75%), it is considered that the current exhibition trajectory graph displays too many exhibition trajectory points, which causes inconvenience for the user to view, and the receiving time interval is increased to reduce the receiving amount of the GPS information and ensure the intuitive display of the exhibition trajectory graph.
It can be understood that if the overlap ratio satisfies the predetermined overlap range (e.g., 30% -80%) and the exhibition trajectory span satisfies the span range (e.g., 25% -75%), it is considered that the current exhibition trajectory graph can clearly display the exhibition trajectory of the exhibition staff without adjusting the receiving time interval.
In one embodiment, as shown in fig. 7, after step S205, the GPS information processing method further includes the steps of:
s701: and acquiring a plurality of historical exhibition trails of the user identifier in a preset period.
S702: and counting the exhibition time corresponding to the exhibition trajectory graph, and taking the exhibition time period with the highest exhibition frequency in a preset period as a target time period corresponding to the user identifier.
S703: and dynamically adjusting the preset time period according to the target time period.
Specifically, the exhibition industry locus diagram of each exhibition industry person is stored in the big data platform, the exhibition industry locus diagram of each exhibition industry person in a preset period (for example, one month in the past) is obtained from the big data platform, so that analysis is performed according to the exhibition industry locus diagram, the exhibition industry time period with high exhibition industry frequency corresponding to the user identification is determined, the preset time period is adjusted to the exhibition industry time period, effective GPS information is automatically obtained during the exhibition industry, when the exhibition industry person goes out of the exhibition industry, active reporting of a position or shooting of a photo for card punching is not needed at a fixed time every day, and the working efficiency of the exhibition industry person is improved.
Illustratively, if the exhibition staff a goes out of the exhibition industry three times in the past month, there are three exhibition industry locus diagrams, and it is assumed that the exhibition time corresponding to the three exhibition industry locus diagrams is: a1-9 am-16 pm, A2-9 am-15 pm and A3-9 am-15 pm, the time period of exhibition with higher exhibition frequency is 9 am-15 pm. It should be understood that, if the exhibition industry time periods corresponding to different exhibition industry locus diagrams are not completely overlapped, a time intersection can be taken, and effective GPS information can be received.
In one embodiment, as shown in fig. 8, after step S205, the GPS information processing method further includes the steps of:
s801: acquiring a historical exhibition trajectory graph; the historical exhibition industry trace map comprises a plurality of historical exhibition industry trace points and exhibition industry time intervals; each exhibition trajectory point corresponds to an exhibition result.
The exhibition industry time interval is used for representing the time interval of the exhibition industry of the exhibition personnel on the current day. Specifically, a plurality of historical exhibition trajectory maps of different users can be obtained from the big data platform, so that a more excellent historical exhibition trajectory map can be screened out according to the historical exhibition trajectory maps in the following, and the target exhibition trajectory map is sent to the target user terminal to play a guiding role.
S802: and (5) counting the exhibition business results and determining the exhibition business success rate of the historical exhibition business trajectory graph.
Specifically, by counting the exhibition result (success or failure) corresponding to the exhibition trajectory point, the ratio of the number of exhibition trajectory points in which the exhibition is successful in the exhibition trajectory graph to the total number of exhibition trajectory points in the exhibition trajectory graph is taken as the exhibition success rate corresponding to the exhibition trajectory graph.
S803: calculating the exhibition industry distance between the first exhibition industry track point and the last exhibition industry track point in the historical exhibition industry track graph; the first exhibition business track point is a historical exhibition business track point corresponding to the lower limit of the exhibition business time interval; and the last exhibition track point is a historical exhibition track point corresponding to the upper limit of the exhibition time interval.
The exhibition industry distance refers to a GPS distance between a first exhibition industry track point and a last exhibition industry track point in the historical exhibition industry track map, and the exhibition industry distance can be calculated by the distance calculation formula in step S505. Specifically, each exhibition track point corresponds to a time tag, the exhibition track point with the time tag as the lower limit of the exhibition time interval is used as the first exhibition track point in the historical exhibition track map, the exhibition track point with the time tag as the upper limit of the exhibition time interval is used as the last exhibition track point in the historical exhibition track map, for example, the exhibition time interval is [ 9-15 points ], and then the exhibition track point with the time tag of 9 points is used as the first exhibition track point in the historical exhibition track map. And taking the exhibition business track point with the time label of 15 points as the last exhibition business track point in the historical exhibition business track graph.
S804: and acquiring a target exhibition industry track map based on the exhibition industry success rate, the exhibition industry distance and the exhibition industry time interval, and sending the target exhibition industry track map to the target user terminal.
Wherein the target user refers to a user with poor performance in the organization. The target exhibition trajectory graph is a relatively excellent historical exhibition trajectory graph screened according to the historical exhibition trajectory graph.
Specifically, a historical exhibition trajectory graph in which the exhibition success rate is greater than a success rate threshold (the success rate threshold here may be the same as or different from a preset success rate threshold, and is not limited here), the exhibition distance is less than a third distance threshold, and a time range corresponding to the exhibition time interval is less than a time range threshold is used as a target exhibition trajectory graph; or setting the weight of each information dimension (namely, exhibition industry success rate, exhibition industry distance and exhibition industry time interval), calculating the reference value of the historical exhibition industry trajectory graph through weighting, and taking the historical exhibition industry trajectory graph with the reference value ranked at the top N as a target exhibition industry trajectory graph; or, any one of the three information dimensions satisfies a corresponding threshold, that is, the historical exhibition trajectory map is used as the target exhibition trajectory map, which is not limited herein.
In this embodiment, the target exhibition trajectory diagram is launched to the user terminal with poor performance, so as to guide exhibition personnel with poor performance or inexperienced performance.
It should be understood that, the sequence numbers of the steps in the foregoing embodiments do not imply an execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present invention.
In one embodiment, a GPS information processing apparatus is provided, which corresponds one-to-one to the GPS information processing method in the above-described embodiment. As shown in fig. 9, the GPS information processing apparatus includes a GPS information receiving module 10, an effective state judging module 20, a trajectory diagram generating module 30, a recommended exhibition area determining module 40, and a trajectory diagram displaying module 50. The functional modules are explained in detail as follows:
and the GPS information receiving module 10 is used for receiving GPS information carrying the user identification and the terminal identification.
And the valid state judging module 20 is configured to judge a valid state of the GPS information according to the terminal identifier and the user identifier.
The trajectory graph generating module 30 is configured to generate an exhibition trajectory graph corresponding to the user identifier according to the GPS information when the GPS information is in an effective state; wherein, the exhibition industry locus diagram comprises a target locus point; the target trace points are used to indicate the real-time location of the user.
The recommended exhibition range determining module 40 is used for determining a recommended exhibition range corresponding to the target track point according to the target track point; the recommended exhibition scope comprises a plurality of recommended track points; and the recommended track points are used for indicating the user to perform exhibition industry.
And the trajectory graph display module 50 is used for displaying the recommended exhibition scope on the user terminal corresponding to the user identifier.
Specifically, the GPS information receiving module includes a first receiving unit or a second receiving unit.
The first receiving unit is used for receiving GPS information in a preset time period in real time; or,
and the second receiving unit is used for receiving the GPS information according to a preset receiving time interval in a preset time period.
Specifically, the recommended exhibition scope determining module comprises a candidate exhibition scope determining unit and a recommended exhibition scope determining unit.
The candidate exhibition industry range determining unit is used for determining a candidate exhibition industry range corresponding to the target track point according to the target track point; wherein the candidate exhibition range comprises a plurality of candidate track points.
And the recommended exhibition range determining unit is used for screening the candidate exhibition range according to the exhibition success rate of each candidate track point so as to remove the candidate track points with the exhibition success rate lower than a preset success rate threshold value and determine the recommended exhibition range corresponding to the target track point.
Specifically, the candidate exhibition industry range determining unit comprises a target exhibition industry area obtaining unit, an analysis subunit, a building determining subunit, a longitude and latitude distance calculating subunit and a candidate exhibition industry range subunit.
And the target exhibition industry area acquisition subunit is used for acquiring the target exhibition industry area corresponding to the user identifier.
And the analysis subunit is used for reading the map information corresponding to the target exhibition area and analyzing to obtain the building information and the road information near the target track point.
And a building determining subunit, configured to determine, based on the road information, a plurality of buildings corresponding to the target track point.
The longitude and latitude distance calculating subunit is used for calculating the longitude and latitude distances between the plurality of buildings and each target track point based on the building information; the building information is used to indicate coordinates of each building.
And the candidate exhibition industry range subunit is used for dividing the corresponding building serving as the candidate track point into the candidate exhibition industry range of the target track point if the longitude and latitude distance is smaller than the preset distance threshold.
Specifically, the exhibition industry locus diagram comprises a plurality of exhibition industry locus points; the GPS information processing device also comprises an instruction adjusting module, an interval distance calculating module, an exhibition trajectory span module, an overlapping rate determining module and a receiving time interval adjusting module.
The instruction adjusting module is used for responding to the time configuration instruction and adjusting the receiving time interval according to the instruction of the time configuration instruction; or,
and the spacing distance calculation module is used for calculating the spacing distance between every two adjacent exhibition track points in the exhibition track map.
The exhibition industry track span module is used for counting the exhibition industry track span according to the interval distance; wherein, the exhibition industry track span is used for indicating the intensity of the exhibition industry track points in the exhibition industry track graph.
And the overlapping rate determining module is used for determining the overlapping rate of the exhibition track points according to the spacing distance.
And the receiving time interval adjusting module is used for dynamically adjusting the receiving time interval based on the overlapping rate and the exhibition trajectory span.
Specifically, the GPS information processing device further comprises a historical exhibition trajectory graph acquisition module, a target time period determination module and a preset time period adjustment module.
And the historical exhibition industry trajectory graph acquisition module is used for acquiring a plurality of historical exhibition industry trajectory graphs of the user identification in a preset period.
And the target time period determining module is used for counting the exhibition time periods corresponding to the exhibition trajectory graph, and taking the exhibition time period with the highest exhibition frequency in a preset period as the target time period corresponding to the user identifier.
And the preset time period adjusting module is used for dynamically adjusting the preset time period according to the target time period.
Specifically, the GPS information processing device further comprises a track map acquisition module, an exhibition industry success rate determination module, an exhibition industry distance calculation module and a target exhibition industry track map determination module.
The track map acquisition module is used for acquiring a historical exhibition track map stored in the big data platform; the historical exhibition industry trace map comprises a plurality of historical exhibition industry trace points and exhibition industry time intervals; each exhibition trajectory point corresponds to an exhibition result.
And the exhibition industry success rate determining module is used for counting exhibition industry results and determining the exhibition industry success rate of the historical exhibition industry trajectory graph.
The exhibition industry distance calculation module is used for calculating the exhibition industry distance between the first exhibition industry track point and the last exhibition industry track point in the historical exhibition industry track map; the first exhibition business track point is a historical exhibition business track point corresponding to the lower limit of the exhibition business time interval; and the last exhibition track point is a historical exhibition track point corresponding to the upper limit of the exhibition time interval.
And the target exhibition industry trajectory graph determining module is used for acquiring the target exhibition industry trajectory graph based on the exhibition industry success rate, the exhibition industry distance and the exhibition industry time interval and sending the target exhibition industry trajectory graph to the target user terminal.
For the specific limitation of the GPS information processing device, reference may be made to the above limitation of the GPS information processing method, which is not described herein again. The modules in the GPS information processing apparatus can be wholly or partially implemented by software, hardware, and a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
In one embodiment, a computer device is provided, which may be a server, and its internal structure diagram may be as shown in fig. 10. The computer device includes a processor, a memory, a network interface, and a database connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a computer storage medium and an internal memory. The computer storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of an operating system and computer programs in the computer storage media. The database of the computer device is used to store data generated or acquired during execution of the GPS information processing method, such as a display trail map. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to implement a GPS information processing method.
In one embodiment, a computer device is provided, which includes a memory, a processor, and a computer program stored on the memory and executable on the processor, and when the processor executes the computer program, the steps of the GPS information processing method in the above embodiments are implemented, for example, steps S201 to S205 shown in fig. 2 or steps shown in fig. 3 to 8. Alternatively, the processor implements the functions of each module/unit in the embodiment of the GPS information processing apparatus when executing the computer program, for example, the functions of each module/unit shown in fig. 9, and are not described here again to avoid repetition.
In an embodiment, a computer storage medium is provided, where a computer program is stored on the computer storage medium, and when executed by a processor, the computer program implements the steps of the GPS information processing method in the foregoing embodiment, for example, steps S201 to S205 shown in fig. 2 or steps shown in fig. 3 to fig. 8, which are not repeated herein for avoiding repetition. Alternatively, the computer program is executed by the processor to implement the functions of the modules/units in the above-mentioned GPS information processing apparatus, for example, the functions of the modules/units shown in fig. 9, and are not described herein again to avoid repetition.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-mentioned division of the functional units and modules is illustrated, and in practical applications, the above-mentioned function distribution may be performed by different functional units and modules according to needs, that is, the internal structure of the apparatus is divided into different functional units or modules to perform all or part of the above-mentioned functions.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the same; although the present invention 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 solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not substantially depart from the spirit and scope of the embodiments of the present invention, and are intended to be included within the scope of the present invention.
Claims (10)
1. A GPS information processing method, comprising:
receiving GPS information carrying user identification and terminal identification;
judging the effective state of the GPS information according to the terminal identification and the user identification;
when the GPS information is in an effective state, generating an exhibition trajectory graph corresponding to the user identification according to the GPS information; wherein, the exhibition industry locus diagram comprises a target locus point; the target track point is used for indicating the real-time position of the user;
determining a recommended exhibition range corresponding to the target track point according to the target track point; the recommended exhibition scope comprises a plurality of recommended track points; the recommended track point is used for indicating the user to perform exhibition business;
and displaying the recommended exhibition scope on a user terminal corresponding to the user identifier.
2. The GPS information processing method according to claim 1, wherein the receiving GPS information carrying a user identifier and a terminal identifier includes:
receiving the GPS information in a preset time period in real time; or,
and receiving the GPS information according to a preset receiving time interval in the preset time period.
3. The GPS information processing method according to claim 1, wherein the determining, according to the target track point, the recommended exhibition area corresponding to the target track point includes:
determining a candidate exhibition range corresponding to the target track point according to the target track point; wherein the candidate exhibition range comprises a plurality of candidate track points;
and screening the candidate exhibition range according to the exhibition success rate of each candidate track point so as to remove the candidate track points with the exhibition success rate lower than a preset success rate threshold value and determine the recommended exhibition range corresponding to the target track point.
4. The GPS information processing method according to claim 3, wherein the determining, based on the target track point, the candidate exhibition area that is closer to the target track point includes:
acquiring a target exhibition area corresponding to the user identifier;
reading map information corresponding to the target exhibition area, and analyzing to obtain building information and road information near the target track point;
determining a plurality of buildings corresponding to the target track point based on the road information;
calculating longitude and latitude distances between the plurality of buildings and each target track point based on the building information; the building information is used for indicating the coordinates of each building;
and if the longitude and latitude distance is smaller than a preset distance threshold, dividing the corresponding building serving as the candidate track point into the candidate exhibition range of the target track point.
5. The GPS information processing method according to claim 2, wherein the exhibition industry locus diagram includes a plurality of exhibition industry locus points;
after the generating of the exhibition trajectory graph corresponding to the user identifier according to the GPS information, the GPS information processing method includes:
responding to a time configuration instruction, and adjusting the receiving time interval according to the indication of the time configuration instruction; or,
calculating the interval distance between every two adjacent exhibition track points in the exhibition track graph;
counting the exhibition trajectory span according to the interval distance; wherein the exhibition trajectory span is used for indicating the concentration of the exhibition trajectory points in the exhibition trajectory graph;
determining the overlapping rate of the exhibition track points according to the spacing distance;
dynamically adjusting the receive time interval based on the overlap ratio and the exhibition trajectory span.
6. The GPS information processing method according to claim 2, wherein after the displaying the recommended exhibition scope on the user terminal corresponding to the user identifier, the GPS information processing method further comprises;
acquiring a plurality of historical exhibition trails of the user identification in a preset period;
counting the exhibition industry time period corresponding to the exhibition industry trajectory graph, and taking the exhibition industry time period with the highest exhibition industry frequency in the preset period as the target time period corresponding to the user identifier;
and dynamically adjusting the preset time period according to the target time period.
7. The GPS information processing method according to claim 1, wherein after the displaying the recommended exhibition scope on the user terminal corresponding to the user identifier, the GPS information processing method further comprises;
acquiring a historical exhibition trajectory graph; the historical exhibition industry trace map comprises a plurality of historical exhibition industry trace points and exhibition industry time intervals; each exhibition industry track point corresponds to an exhibition industry result;
counting the exhibition result, and determining the exhibition success rate of the historical exhibition trajectory graph;
calculating the exhibition industry distance between the first exhibition industry track point and the last exhibition industry track point in the historical exhibition industry track graph; the first exhibition business track point is a historical exhibition business track point corresponding to the lower limit of the exhibition business time interval; the last exhibition track point is a historical exhibition track point corresponding to the upper limit of the exhibition time interval;
and acquiring a target exhibition industry track map based on the exhibition industry success rate, the exhibition industry distance and the exhibition industry time interval, and sending the target exhibition industry track map to a target user terminal.
8. A GPS information processing apparatus characterized by comprising:
the GPS information receiving module is used for receiving GPS information carrying user identification and terminal identification;
the effective state judgment module is used for judging the effective state of the GPS information according to the terminal identification and the user identification;
the track map generation module is used for generating an exhibition track map corresponding to the user identifier according to the GPS information when the GPS information is in an effective state; wherein, the exhibition industry locus diagram comprises a target locus point; the target track point is used for indicating the real-time position of the user;
the recommended exhibition range determining module is used for determining a recommended exhibition range corresponding to the target track point according to the target track point; the recommended exhibition scope comprises a plurality of recommended track points; the recommended track point is used for indicating the user to perform exhibition business;
and the track graph display module is used for displaying the recommended exhibition scope on the user terminal corresponding to the user identifier.
9. A computer device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the GPS information processing method according to any one of claims 1 to 7 when executing the computer program.
10. A computer storage medium storing a computer program, wherein the computer program, when executed by a processor, implements the steps of the GPS information processing method according to any one of claims 1 to 7.
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