CN106708955B - Thermodynamic diagram generation method and equipment - Google Patents
Thermodynamic diagram generation method and equipment Download PDFInfo
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- CN106708955B CN106708955B CN201611074045.9A CN201611074045A CN106708955B CN 106708955 B CN106708955 B CN 106708955B CN 201611074045 A CN201611074045 A CN 201611074045A CN 106708955 B CN106708955 B CN 106708955B
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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 application discloses a thermodynamic diagram generation method. The method comprises the steps of uniformly dividing a region to be processed into a plurality of sub-regions in advance, after mobile acquisition records reported by mobile acquisition base stations in a statistical period are obtained, determining the sub-region to which a GPS (global positioning system) of each mobile acquisition record belongs, determining the number of the acquisition records of each sub-region according to each mobile acquisition record, and finally generating a thermodynamic diagram of the region to be processed according to the number of the acquisition records of each sub-region and the central point of each sub-region. Therefore, thermodynamic diagrams of the whole area can be generated through data acquisition records reported by the continuously moving acquisition base stations, and the problem that the thermodynamic diagrams are inaccurate due to the fact that the base stations cannot be fixedly corresponding to the geographical positions due to the fact that the base stations move in the prior art is solved.
Description
Technical Field
The application relates to the technical field of computers, in particular to a thermodynamic diagram generation method. The application also relates to a thermodynamic diagram generating device.
Background
With the continuous development of science and technology, wireless terminals (such as smart phones, tablet devices, notebook computers and the like) used by users at present basically have a GPS function. Therefore, the distribution diagram of the wireless terminal in a certain area can be obtained based on the GPS information of the wireless terminal, so that researchers can be used for evaluating the passenger flow condition in public places such as shopping malls, supermarket scenic spots and the like, and visual data support is provided for managers to formulate reasonable business plans.
In the prior art, a Wifi wireless sniffing base station is generally adopted to collect information such as the MAC of a wireless terminal near the base station and a corresponding GPS location, and the information can be summarized to a back-end storage analysis server for further processing, such as displaying an MAC track on a map and presenting a thermodynamic diagram of the MAC quantity in a certain time period. With the gradual popularization and use of the base stations, more technical means are provided for the public security case breaking and city planning.
In order to further improve the GPS information acquisition range and acquisition efficiency of the wireless terminal, mobile acquisition base stations have come to work. As the name implies, the mobile collection base station is to install the collection device on a mobile object (such as a taxi), so that all the mobile collection base stations in the city can collect the MAC addresses of the mobile devices nearby during the traveling process and the positions of the mobile devices relative to the mobile collection base station.
However, while using this technique, the inventors have also discovered problems with the prior art: compare fixed collection basic station, because each removes and gathers the basic station and all be the small-size equipment of installing on the mobile object, and rely on the signal strength of intelligent equipment around to confirm the position of each intelligent equipment, therefore the GPS data of intelligent equipment all is unfixed around it gathers, along with gathering the removal of basic station, every data all probably is different. The statistical efficiency of the mass data is low in the process of using the traditional statistical process based on the GPS data collected by the fixed base station, and even the statistical result has deviation.
Disclosure of Invention
The application provides a thermodynamic diagram generation method for solving the problem that a GPS of data collected by a mobile collection base station cannot be accurately obtained and counted in the prior art, wherein the method uniformly divides a to-be-processed area into a plurality of sub-areas in advance, and further comprises the following steps:
acquiring mobile acquisition records reported by each mobile acquisition base station in a statistical period, wherein the mobile acquisition records comprise a GPS and acquisition record numbers;
determining the sub-area to which the GPS of each mobile acquisition record belongs;
determining the number of the acquisition records of each sub-area according to each mobile acquisition record;
and generating a thermodynamic diagram of the region to be processed according to the number of the acquired records of each sub-region and the central point of each sub-region.
Preferably, a thermodynamic diagram of the region to be processed is generated according to the number of the acquired records of each sub-region and the central point of each sub-region, and specifically includes:
determining the GPS coordinates of the vertex angles of the sub-regions according to the segmentation times and the codes of the sub-regions, wherein the codes are unique corresponding character strings which are set for each interval after the to-be-processed region is uniformly divided into a plurality of intervals according to the segmentation times and the longitude and latitude coordinates of the to-be-processed region, and the segmentation times are generated according to preset precision;
determining the coordinates of the central point of each sub-region according to the GPS coordinates of the vertex angle of the sub-region;
taking the sum of the acquisition record numbers of all the mobile acquisition records in the sub-area as the weight of the central point;
and generating a thermodynamic diagram of the to-be-processed area according to the weight and the coordinates of the central point of each sub-area.
Preferably, after determining the sub-area to which the GPS of each mobile acquisition record belongs, the method further includes:
if the type of the subregion is an edge subregion, discarding the mobile acquisition record;
or, if the type of the sub-region is the edge sub-region, uniformly dividing the sub-region into a plurality of secondary sub-regions, determining the number of the acquisition records of each secondary sub-region according to each mobile acquisition record belonging to the sub-region, and taking the center point of each secondary sub-region as the center point of the sub-region.
Preferably, after determining the number of acquisition records of each sub-region according to each mobile acquisition record, the method further comprises:
and if the type of the sub-region is a hotspot sub-region, uniformly dividing the sub-region into a plurality of secondary sub-regions, determining the number of the acquisition records of each secondary sub-region according to each mobile acquisition record belonging to the sub-region, and taking the central point of each secondary sub-region as the central point of the sub-region.
Preferably, the hot spot sub-region is determined by:
the sub-region is a pre-designated hot spot sub-region; and/or the number of the collected records of the sub-area exceeds a preset number threshold; and/or the ratio of the number of the collected records of the sub-area to the total number of the collected records of the area to be processed exceeds a preset ratio threshold.
Correspondingly, the application also provides a thermodynamic diagram generation device, which comprises:
the dividing module is used for uniformly dividing the area to be processed into a plurality of sub-areas in advance;
the acquisition module is used for acquiring mobile acquisition records reported by each mobile acquisition base station in a statistical period, wherein the mobile acquisition records comprise a GPS and acquisition record numbers;
the first determining module is used for determining the sub-area to which the GPS of each mobile acquisition record belongs;
the second determining module is used for determining the number of the acquisition records of each sub-area according to each mobile acquisition record;
and the generating module is used for generating a thermodynamic diagram of the to-be-processed area according to the acquisition record number of each sub-area and the central point of each sub-area.
Preferably, the generating module is specifically configured to:
determining the GPS coordinates of the vertex angles of the sub-regions according to the segmentation times and the codes of the sub-regions, wherein the codes are unique corresponding character strings which are set for each interval after the to-be-processed region is uniformly divided into a plurality of intervals according to the segmentation times and the longitude and latitude coordinates of the to-be-processed region, and the segmentation times are generated according to preset precision;
determining the coordinates of the central point of each sub-region according to the GPS coordinates of the vertex angle of the sub-region;
taking the sum of the acquisition record numbers of all the mobile acquisition records in the sub-area as the weight of the central point;
and generating a thermodynamic diagram of the to-be-processed area according to the weight and the coordinates of the central point of each sub-area.
Preferably, the method further comprises the following steps:
the edge sub-region processing module discards the mobile acquisition record when the type of the sub-region is an edge sub-region; or, when the type of the sub-region is the edge sub-region, the sub-region is uniformly divided into a plurality of secondary sub-regions, the number of the acquisition records of each secondary sub-region is determined according to each mobile acquisition record belonging to the sub-region, and the central point of each secondary sub-region is used as the central point of the sub-region.
Preferably, the method further comprises the following steps:
and the hotspot sub-region processing module is used for uniformly dividing the sub-region into a plurality of secondary sub-regions when the type of the sub-region is the hotspot sub-region, determining the number of the acquisition records of each secondary sub-region according to each mobile acquisition record belonging to the sub-region, and taking the central point of each secondary sub-region as the central point of the sub-region.
Preferably, the hot spot sub-region is determined by:
the sub-region is a pre-designated hot spot sub-region; and/or the number of the collected records of the sub-area exceeds a preset number threshold; and/or the ratio of the number of the collected records of the sub-area to the total number of the collected records of the area to be processed exceeds a preset ratio threshold.
Therefore, by applying the technical scheme of the application, the area to be processed is uniformly divided into a plurality of sub-areas in advance, after the mobile acquisition records reported by each mobile acquisition base station in the statistical period are obtained, the sub-area to which the GPS of each mobile acquisition record belongs is determined, the number of the acquisition records of each sub-area is determined according to each mobile acquisition record, and finally, the thermodynamic diagram of the area to be processed is generated according to the number of the acquisition records of each sub-area and the central point of each sub-area. Therefore, thermodynamic diagrams of the whole area can be generated through data acquisition records reported by the continuously moving acquisition base stations, and the problem that the thermodynamic diagrams are inaccurate due to the fact that the base stations cannot be fixedly corresponding to the geographical positions due to the fact that the base stations move in the prior art is solved.
Drawings
Fig. 1 is a schematic flow chart of a thermodynamic diagram generation method proposed in the present application;
FIG. 2 is a schematic diagram illustrating uniform division of a region to be processed according to an embodiment of the present disclosure;
FIG. 3 is a schematic diagram of an edge region of a region to be processed according to an embodiment of the present disclosure;
fig. 4 is a schematic structural diagram of a thermodynamic diagram generating device according to the present application.
Detailed Description
As described in the background art, when the acquisition base station is in the process of moving, the location and number of the surrounding smart devices are determined through signal strength, and therefore, the problem is that the GPS for acquiring the acquisition records reported by the acquisition base station cannot be fixed, so that the thermodynamic diagram generated by the overall area statistics is inaccurate or even cannot be generated. In view of this, the present application provides a thermodynamic diagram generation method, and aims to generate a thermodynamic diagram capable of accurately reflecting the distribution situation of the intelligent devices in the whole area according to the collection records reported by the moving collection base station.
As shown in fig. 1, a schematic flow chart of a thermodynamic diagram generation method disclosed in the present application includes the following steps:
firstly, a region to be processed is uniformly divided into a plurality of sub-regions in advance.
As a type of illustration that shows the geographical area in which the mobile device is located in a particularly highlighted form, thermodynamic diagrams can significantly reflect the concentration of nodes in a wide area. The thermodynamic diagram is also called as thermodynamic diagram, and is a technology for expressing the size of a certain index by using a group of color sequences with variable shades. The higher the index value, the darker the color to be superimposed, and the lower the index value, the lighter the color to be superimposed.
Since each mobile acquisition base station is in the process of moving, it will consume a lot of resources to subdivide each mobile acquisition base station. And when the mobile acquisition base stations of the to-be-processed area are more, the to-be-processed area is uniformly divided into a plurality of sub-areas, the thermodynamic diagram can simply aggregate dense intelligent equipment and is represented by using a progressive color band, and the overall structure and the density of the distribution of the intelligent equipment in the whole to-be-processed area can be visually displayed.
Based on the characteristics of the thermodynamic diagrams, in S101, the mobile acquisition records reported by the mobile acquisition base stations in the statistical period are first obtained, and then the thermodynamic diagrams corresponding to the mobile acquisition records are generated for the to-be-processed area. It should be noted that, based on the usage habits of different persons or different situations, the thermodynamic diagram finally generated by this step may have diversity in display effect, but it can always truly reflect the density of the intelligent devices in different sub-areas of the network diagram. The mobile acquisition record must contain the GPS and the acquisition record number.
In a preferred embodiment of the present application, the method for uniformly dividing the to-be-processed area into the plurality of sub-areas specifically includes uniformly dividing the to-be-processed area into a plurality of intervals according to the number of segmentation and the longitude and latitude coordinates of the to-be-processed area, and then sequentially encoding the plurality of intervals. It should be noted that the segmentation times are generated according to a preset precision, and each encoded interval corresponds to a unique character string. However, the form of the thermodynamic diagram that can achieve the same effect falls within the scope of the present application.
In the embodiment of the present application, the effect diagram of this step is as shown in fig. 2, the map is divided into sub-areas with fixed sizes, and the size of the sub-area needs to be well balanced in terms of accuracy and performance. The dividing method can adopt a GeoHash dividing method, and the method divides the latitude and longitude coordinates of the earth into two parts with specified times (the larger the times, the smaller the area of the interval), then encodes each interval into a character string, and if the number of matched characters is larger from the front, the general distance is closer.
And S102, determining the sub-area to which the GPS of each mobile acquisition record belongs.
Based on the GPS in the mobile acquisition record and each of the pre-divided sub-regions, in step 2, the GPS of each of the mobile acquisition records is encoded and belongs to a specific sub-region. In a specific application scenario of the present application, a specific home sub-region may be determined based on the coordinate range of each sub-region and the GPS, and other implementations also belong to the scope of the present application.
Since the present application aims to provide a suitable thermodynamic diagram generation scheme for the distributed intelligent devices in the area to be processed, and the technician determines that the distribution criteria of the intelligent devices of each sub-area are different according to the different terrain of the area to be processed, in order to flexibly process the network diagram according to the requirement, in a preferred embodiment of the present application, the following processing can be performed according to the type of the terrain of the sub-area after the step:
(1) if the type of the subregion is an edge subregion, discarding the mobile acquisition record;
(2) if the type of the sub-region is the edge sub-region, the sub-region is uniformly divided into a plurality of secondary sub-regions, the number of the acquisition records of each secondary sub-region is determined according to each mobile acquisition record belonging to the sub-region, and the central point of each secondary sub-region is used as the central point of the sub-region.
Taking the map shown in fig. 2 as an example, considering that the city layout is not very regular, and that the centers of the sub-regions at the edge of a city may not fall into the city layout even with a large difference due to the partitioning method of the sub-regions, further correction may be performed at this time, and the correction strategy includes, but is not limited to, retention, discarding, and further subdividing the edge sub-regions.
Specifically, in the process of further subdividing the edge sub-regions, each edge sub-region is subdivided in advance according to the city layout and the selected sub-region dividing scheme, for example, each edge sub-region is subdivided into 2 × 2 or 3 × 3 or 4 × 4 sub-regions with the same size, the subdivision levels of each edge sub-region may be different, and the edge sub-regions may be subdivided specifically by combining the overlapping surface of the edge region and the first-divided sub-region. The movement data falling in this edge region needs to be further subdivided into the minimum regions when encoding the GPS.
For example, in the edge region shown in fig. 3, the edge region may be subdivided into 3 × 3 — 9 sub-regions, which are numbered 0,1, and … 8 sequentially from top to bottom and from left to right, and the region division configuration table for the edge region is shown in table 1 below:
| RegionCode | SplitCount | SubCount |
| abc123 | 15 | 1 |
| abc111 | 15 | 4 |
| abc112 | 15 | 9 |
TABLE 1
The RegionCode represents the divided region code, the SplitCount represents the slicing times (generally determined in advance, unchanged and uniform after determination), and the GPS coordinates (rectangles) of the four corners of the region can be obtained according to the slicing times and the code.
When performing data statistics for the type of sub-region, the specific embodiment of the present application modifies the RegionCode into the following form:
RegionCode + '@ subgrid number/subgrid number' of the original subregion, such as abc111@0/4, abc111@1/4, and the like.
Accordingly, for a mesh that is no longer subdivided, the RegionCode remains unchanged or is uniformly encoded according to this rule, e.g., abc123 may be encoded as abc123@ 0/1. And in the subsequent process of generating the thermodynamic diagram based on the central point, the central point of each sub-grid is obtained according to the rule when the interface is presented, and the central point is used as the hot point of the sub-grid.
The scheme of the preferred embodiment can also be applied to cities which are near sea or have multiple islands in a territory, generally, the movement data are less generated on the sea, and the processing on the edge area is also suitable for the scenes. The specific determination manner of the edge sub-region may be preset by a technician, or may be automatically determined according to the terrain of the edge sub-region, which all belong to the protection scope of the present application.
And S103, determining the number of the acquisition records of each sub-area according to each mobile acquisition record.
After the sub-area to which the mobile acquisition record belongs is determined through S102, the number of acquisition records of the mobile acquisition record is all classified into the sub-area. The step 3 is to obtain statistical data according to the time statistical strength (such as hours, days, weeks and the like) or the designated time range of the thermodynamic diagram based on the sub-regions.
In the specific embodiment of the present application, the statistical data is logically similar to a series of tables obtained according to statistical periods (e.g. 5 minutes, 1 hour, 1 day, etc.), wherein the statistics according to day is taken as an example, and the corresponding statistical table is shown in table 2 below:
| RegionCode | SplitCount | Time | Count |
| abc123 | 15 | 2016-10-10 | 100 |
| abc123 | 15 | 2016-10-11 | 120 |
| abc111 | 15 | 2016-10-10 | 200 |
| abc111 | 15 | 2016-10-11 | 205 |
TABLE 2
In the above table, Time represents a specific statistical period, and Count is the number of collected records in the corresponding statistical period in the area. It should be noted that, in the above embodiment, the value of the statistical period is an appropriate date value selected according to the detail degree of the thermodynamic diagram to be generated and the research period of the technician on the intelligent device in the area to be processed, and is generally in units of hours or days. The length of the statistical period can also be set by those skilled in the art according to other practical use cases.
In addition, considering that some regions belong to hot spot regions, to improve the accuracy of these regions, these regions may be further refined in one embodiment. In a preferred embodiment of the present application, when a certain sub-region is determined as a hot sub-region, the sub-region is uniformly divided into a plurality of secondary sub-regions, the number of acquisition records of each secondary sub-region is determined according to each mobile acquisition record belonging to the sub-region, and the center point of each secondary sub-region is used as the center point of the sub-region.
The above scheme illustrates a processing manner when the sub-region is determined as the hot sub-region, and in an actual application scenario, the determination manner of the hot sub-region may be determined according to the following conditions:
(1) the sub-region is a pre-designated hot spot sub-region;
(2) the number of the collected records of the sub-area exceeds a preset number threshold;
(3) the ratio of the number of the collected records of the sub-area to the total number of the collected records of the area to be processed exceeds a preset ratio threshold.
In the scheme of this embodiment, the hot spot area (e.g. downtown area) of the city is subdivided in advance by means of configuration, for example, into 2 × 2 or 3 × 3 or 4 × 4 sub-areas with the same size, and different areas may be subdivided into different numbers of sub-areas. While subdividing, the fixed acquisition base stations deployed in the area can be considered, and the base stations with longer relative distances are divided into different subdivided areas. In a particular application scenario, a region may be further subdivided when the statistics of the region reach a certain threshold. The threshold may select the ratio of the region statistic to all region statistics; the threshold value can be set to be in multiple stages, each stage corresponds to one subdivided region quantity, and the higher the threshold value is, the more the subdivided region quantity is.
And S104, generating a thermodynamic diagram of the to-be-processed area according to the acquisition record number of each sub-area and the central point of each sub-area.
Since the present application aims to generate a thermodynamic diagram of the entire region to be processed according to the number of acquisitions of each sub-region, and the thermodynamic diagram is composed of different points and corresponding gradations, the step takes the center point of each sub-region as each point displayed in the thermodynamic diagram. In the preferred embodiment of the present application, the specific implementation flow of this step is as follows:
step a) determining the GPS coordinates of the vertex angle of the sub-region according to the segmentation times and the codes of the sub-region;
step b) determining the coordinates of the central point of each sub-region according to the GPS coordinates of the vertex angle of the sub-region;
step c) taking the sum of the acquisition record numbers of all the mobile acquisition records in the sub-area as the weight of the central point;
and d) generating a thermodynamic diagram of the to-be-processed area according to the weight and the coordinates of the central point of each sub-area.
In a specific application scenario, taking the data shown in table 2 as an example, after the client acquires the required data, the GPS coordinates of four corners of the area are obtained through area coding and the number of segmentation, and then the coordinates of the center point of the rectangle can be obtained, and the coordinates are used as a hot point and the weight is the corresponding statistical Count. Therefore, the statistical data of each sub-region are positioned to the central point of the sub-region, and then the corresponding thermodynamic diagram can be finally presented on the map client according to the thermodynamic diagram algorithm.
Therefore, by applying the technical scheme of the application, the area to be processed is uniformly divided into a plurality of sub-areas in advance, after the mobile acquisition records reported by each mobile acquisition base station in the statistical period are obtained, the sub-area to which the GPS of each mobile acquisition record belongs is determined, the number of the acquisition records of each sub-area is determined according to each mobile acquisition record, and finally, the thermodynamic diagram of the area to be processed is generated according to the number of the acquisition records of each sub-area and the central point of each sub-area. Therefore, thermodynamic diagrams of the whole area can be generated through data acquisition records reported by the continuously moving acquisition base stations, and the problem that the thermodynamic diagrams are inaccurate due to the fact that the base stations cannot be fixedly corresponding to the geographical positions due to the fact that the base stations move in the prior art is solved.
To achieve the above technical object, the present application also proposes a thermodynamic diagram generation apparatus, as shown in fig. 4, including:
a dividing module 410, which uniformly divides the region to be processed into a plurality of sub-regions in advance;
the acquiring module 420 is configured to acquire a mobile acquisition record reported by each mobile acquisition base station in a statistical period, where the mobile acquisition record includes a GPS and an acquisition record number;
the first determining module 430 is configured to determine a sub-area to which the GPS of each mobile acquisition record belongs;
a second determining module 440, configured to determine the number of acquired records of each sub-region according to each mobile acquisition record;
the generating module 450 generates a thermodynamic diagram of the region to be processed according to the number of the acquired records of each sub-region and the central point of each sub-region.
In a specific application scenario, the generating module is specifically configured to:
determining the GPS coordinates of the vertex angles of the sub-regions according to the segmentation times and the codes of the sub-regions, wherein the codes are unique corresponding character strings which are set for each interval after the to-be-processed region is uniformly divided into a plurality of intervals according to the segmentation times and the longitude and latitude coordinates of the to-be-processed region, and the segmentation times are generated according to preset precision;
determining the coordinates of the central point of each sub-region according to the GPS coordinates of the vertex angle of the sub-region;
taking the sum of the acquisition record numbers of all the mobile acquisition records in the sub-area as the weight of the central point;
and generating a thermodynamic diagram of the to-be-processed area according to the weight and the coordinates of the central point of each sub-area.
In a specific application scenario, the method further includes:
the edge sub-region processing module discards the mobile acquisition record when the type of the sub-region is an edge sub-region; or, when the type of the sub-region is the edge sub-region, the sub-region is uniformly divided into a plurality of secondary sub-regions, the number of the acquisition records of each secondary sub-region is determined according to each mobile acquisition record belonging to the sub-region, and the central point of each secondary sub-region is used as the central point of the sub-region.
In a specific application scenario, the method further includes:
and the hotspot sub-region processing module is used for uniformly dividing the sub-region into a plurality of secondary sub-regions when the type of the sub-region is the hotspot sub-region, determining the number of the acquisition records of each secondary sub-region according to each mobile acquisition record belonging to the sub-region, and taking the central point of each secondary sub-region as the central point of the sub-region.
In a specific application scenario, the hot spot sub-region is determined by:
the sub-region is a pre-designated hot spot sub-region; and/or the number of the collected records of the sub-area exceeds a preset number threshold; and/or the ratio of the number of the collected records of the sub-area to the total number of the collected records of the area to be processed exceeds a preset ratio threshold.
By applying the technical scheme of the application, the area to be processed is uniformly divided into a plurality of sub-areas in advance, after the mobile acquisition records reported by each mobile acquisition base station in the statistical period are obtained, the sub-area to which the GPS of each mobile acquisition record belongs is determined, the number of the acquisition records of each sub-area is determined according to each mobile acquisition record, and finally, the thermodynamic diagram of the area to be processed is generated according to the number of the acquisition records of each sub-area and the central point of each sub-area. Therefore, thermodynamic diagrams of the whole area can be generated through data acquisition records reported by the continuously moving acquisition base stations, and the problem that the thermodynamic diagrams are inaccurate due to the fact that the base stations cannot be fixedly corresponding to the geographical positions due to the fact that the base stations move in the prior art is solved.
Through the above description of the embodiments, those skilled in the art will clearly understand that the present application can be implemented by hardware, and also by software plus a necessary general hardware platform. Based on such understanding, the technical solution of the present application may be embodied in the form of a software product, which may be stored in a non-volatile storage medium (which may be a CD-ROM, a usb disk, a removable hard disk, etc.), and includes several instructions for enabling a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the method according to the implementation scenarios of the present application.
Those skilled in the art will appreciate that the figures are merely schematic representations of one preferred implementation scenario and that the blocks or flow diagrams in the figures are not necessarily required to practice the present application.
Those skilled in the art will appreciate that the modules in the devices in the implementation scenario may be distributed in the devices in the implementation scenario according to the description of the implementation scenario, or may be located in one or more devices different from the present implementation scenario with corresponding changes. The modules of the implementation scenario may be combined into one module, or may be further split into a plurality of sub-modules.
The above application serial numbers are for description purposes only and do not represent the superiority or inferiority of the implementation scenarios.
The above disclosure is only a few specific implementation scenarios of the present application, but the present application is not limited thereto, and any variations that can be made by those skilled in the art are intended to fall within the scope of the present application.
Claims (8)
1. A thermodynamic diagram generation method is characterized in that a to-be-processed area is uniformly divided into a plurality of sub-areas according to the segmentation times and longitude and latitude coordinates of the to-be-processed area, and the method further comprises the following steps:
acquiring mobile acquisition records reported by each mobile acquisition base station in a statistical period, wherein the mobile acquisition records comprise a GPS and acquisition record numbers;
determining the sub-area to which the GPS of each mobile acquisition record belongs;
determining the number of the acquisition records of each sub-area according to each mobile acquisition record;
generating a thermodynamic diagram of the region to be processed according to the number of the collected records of each sub-region and the central point of each sub-region;
the generating of the thermodynamic diagram of the to-be-processed region according to the number of the acquired records of each sub-region and the central point of each sub-region specifically includes:
determining the GPS coordinates of the vertex angles of the sub-regions according to the segmentation times and the codes of the sub-regions, wherein the codes are unique corresponding character strings which are set for the sub-regions after the to-be-processed region is uniformly divided into a plurality of sub-regions according to the segmentation times and the longitude and latitude coordinates of the to-be-processed region, and the segmentation times are generated according to preset precision;
determining the coordinates of the center point of each sub-region according to the GPS coordinates of the vertex angle of the sub-region;
taking the sum of the acquisition record numbers of all the mobile acquisition records in the sub-area as the weight of the central point;
and generating a thermodynamic diagram of the to-be-processed area according to the weight and the coordinates of the central point of each sub-area.
2. The method of claim 1, wherein after determining the sub-region to which the GPS of each of the mobile acquisition records belongs, further comprising:
if the type of the subregion is an edge subregion, discarding the mobile acquisition record;
or, if the type of the sub-region is the edge sub-region, uniformly dividing the sub-region into a plurality of secondary sub-regions, determining the number of the acquisition records of each secondary sub-region according to each mobile acquisition record belonging to the sub-region, and taking the center point of each secondary sub-region as the center point of the sub-region.
3. The method of claim 1, after determining a number of acquisition records for each of the sub-regions from each of the mobile acquisition records, further comprising:
and if the type of the sub-region is a hotspot sub-region, uniformly dividing the sub-region into a plurality of secondary sub-regions, determining the number of the acquisition records of each secondary sub-region according to each mobile acquisition record belonging to the sub-region, and taking the central point of each secondary sub-region as the central point of the sub-region.
4. The method of claim 3, wherein the hotspot sub-region is determined by:
the sub-region is a pre-designated hot spot sub-region; and/or the number of the collected records of the sub-area exceeds a preset number threshold; and/or the ratio of the number of the collected records of the sub-area to the total number of the collected records of the area to be processed exceeds a preset ratio threshold.
5. A thermodynamic diagram generation device, comprising:
the dividing module is used for uniformly dividing the area to be processed into a plurality of sub-areas in advance according to the segmentation times and the longitude and latitude coordinates of the area to be processed;
the acquisition module is used for acquiring mobile acquisition records reported by each mobile acquisition base station in a statistical period, wherein the mobile acquisition records comprise a GPS and acquisition record numbers;
the first determining module is used for determining the sub-area to which the GPS of each mobile acquisition record belongs;
the second determining module is used for determining the number of the acquisition records of each sub-area according to each mobile acquisition record;
the generating module is used for generating a thermodynamic diagram of the region to be processed according to the number of the collected records of each sub-region and the central point of each sub-region;
the generation module is specifically configured to:
determining the GPS coordinates of the vertex angles of the sub-regions according to the segmentation times and the codes of the sub-regions, wherein the codes are unique corresponding character strings which are set for the sub-regions after the to-be-processed region is uniformly divided into a plurality of sub-regions according to the segmentation times and the longitude and latitude coordinates of the to-be-processed region, and the segmentation times are generated according to preset precision;
determining the coordinates of the center point of each sub-region according to the GPS coordinates of the vertex angle of the sub-region;
taking the sum of the acquisition record numbers of all the mobile acquisition records in the sub-area as the weight of the central point;
and generating a thermodynamic diagram of the to-be-processed area according to the weight and the coordinates of the central point of each sub-area.
6. The apparatus of claim 5, further comprising:
the edge sub-region processing module discards the mobile acquisition record when the type of the sub-region is an edge sub-region; or, when the type of the sub-region is the edge sub-region, the sub-region is uniformly divided into a plurality of secondary sub-regions, the number of the acquisition records of each secondary sub-region is determined according to each mobile acquisition record belonging to the sub-region, and the central point of each secondary sub-region is used as the central point of the sub-region.
7. The apparatus of claim 5, further comprising:
and the hotspot sub-region processing module is used for uniformly dividing the sub-region into a plurality of secondary sub-regions when the type of the sub-region is the hotspot sub-region, determining the number of the acquisition records of each secondary sub-region according to each mobile acquisition record belonging to the sub-region, and taking the central point of each secondary sub-region as the central point of the sub-region.
8. The device of claim 7, wherein the hotspot sub-area is determined by:
the sub-region is a pre-designated hot spot sub-region; and/or the number of the collected records of the sub-area exceeds a preset number threshold; and/or the ratio of the number of the collected records of the sub-area to the total number of the collected records of the area to be processed exceeds a preset ratio threshold.
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