CN110765222B - Interest point self-driving heat degree calculation method and platform based on Geohash codes - Google Patents
Interest point self-driving heat degree calculation method and platform based on Geohash codes Download PDFInfo
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- CN110765222B CN110765222B CN201911015684.1A CN201911015684A CN110765222B CN 110765222 B CN110765222 B CN 110765222B CN 201911015684 A CN201911015684 A CN 201911015684A CN 110765222 B CN110765222 B CN 110765222B
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Abstract
The invention discloses a self-driving heat degree calculation method and platform of interest points based on Geohash codes. The method comprises the steps of performing Geohash coding on the longitude and latitude of the interest point and the longitude and latitude of the vehicle, extracting the vehicle in the interest point in a preset time period, and filtering the extracted data according to conditions. The platform comprises a parameter configuration unit, a data packet receiving unit, an encoding unit, a storage unit and a heat calculation unit. A data packet receiving unit receives a data packet; the longitude and latitude of the interest point of the coding unit and the longitude and latitude of the vehicle in the data packet are subjected to Geohash coding; the storage unit stores the data packet of each vehicle and the corresponding Geohash code in an associated manner; the heat calculation unit inquires vehicles in the interest points within a preset time period and removes the weights; and filtering the de-weighted vehicle according to conditions. The method and the device aim at the calculation of large data volume, can quickly and accurately calculate the self-driving heat degree of each interest point with smaller calculation amount, and have high automation degree without manual intervention.
Description
Technical Field
The invention relates to the field of big data of internet of vehicles, in particular to a method and a platform for calculating the self-driving heat of interest points based on a Geohash coding algorithm.
Background
With the continuous improvement of living standard, the travel modes of people for tour are rich and diversified, and more families tend to select the self-driving mode for the tour mode. For the heat calculation of the destination (interest point) of the vehicle self-driving, data support can be provided for evaluation indexes such as the selection of the interest point, the attraction of the interest point and the like of self-driving personnel.
With the continuous innovation of mobile communication technology, the application of internet of vehicles has been developed in many aspects. In the current market, the quantity of automobiles kept is huge, the traditional heat calculation mode is to directly and intensively process data collected by all vehicle-mounted equipment, and the mode is a huge calculation system and is not ideal for calculation efficiency and calculation load. Meanwhile, the traditional calculation mode does not accurately filter the acquired data, and a calculation result has larger errors.
Disclosure of Invention
The invention aims to: aiming at the existing problems, a method and a system for calculating the driving heat of the interest point based on the Geohash code are provided. The complexity of big data operation is reduced, and meanwhile, the accuracy of the calculation result is improved.
The technical scheme adopted by the invention is as follows:
a self-driving heat degree calculation method of interest points based on Geohash codes comprises the following steps:
A. carrying out Geohash coding on the longitude and latitude of the interest point to obtain a Geohash coding area of the interest point;
B. performing Geohash coding on the longitude and latitude in the data packet returned by all the accessed vehicle-mounted GNSS devices to obtain the Geohash coding corresponding to each vehicle;
C. extracting a data packet of which the parking time of the vehicle Geohash code in the interest point Geohash coding region exceeds a first preset time in a first preset time period, and inquiring a corresponding vehicle and removing the weight according to the extracted data packet;
D. and (3) filtering the vehicle after weight removal: filtering out vehicles which exceed a first predetermined number of vehicles in the interest point Geohash encoding area in a second predetermined time period.
The method can conveniently carry out area marking and longitude and latitude comparison by a Geohash coding mode on the longitude and latitude and identifying the longitude and latitude through the character string, and can reduce the complexity of data calculation and improve the operation efficiency in reply compared with the longitude and latitude comparison mode. Meanwhile, the Geohash coding mode can flexibly adjust the size of the cell, so that the boundary of the interest point can be accurately described, and the vehicle screening precision is improved. In addition, the invention also carries out conditional filtering on the collected vehicle data, filters out non-target vehicles and enables the calculated result to be more consistent with the actual situation.
Further, the first predetermined time period is included in the second predetermined time period. The design can ensure that the states of the car owners (the purpose of entering the interest points) are approximately the same in two time periods, and the data are filtered under the same state, so that the accuracy of vehicle filtering can be improved.
Furthermore, before the Geohash coding is carried out on the longitude and latitude, the method also comprises a step of configuring the coding length in the Geohash coding method. The design is to configure the coding length according to the specific application scene of the method so as to balance the precision requirement and the operation amount, so that the method has higher universality.
Further, the encoding length of the Geohash encoding method is 5 bits. This is one of the best results to balance the error tolerance and the amount of computation of the point of interest.
Further, in the step C, the method for determining the parking state of the vehicle includes:
and if the longitude and latitude in the second preset number of data packets continuously returned by the vehicle-mounted GNSS equipment of the vehicle are the same, judging that the vehicle is in a parking state. In general, the data packet return frequency is fixed, and the vehicle state can be judged with a small calculation load by counting the number of data packets instead of continuously timing.
Further, before the step a, a step of adjusting the longitude and latitude of the point of interest is further included. The range of the interest point may be changed, and the precision of the longitude and latitude may be improved, so before calculation, the longitude and latitude of the interest point should be ensured to be the latest as much as possible, so as to ensure the accuracy of the calculation result.
The invention provides a self-driving heat degree calculation platform of interest points based on Geohash codes, which comprises the following steps:
the parameter configuration unit is used for configuring the coding length of the Geohash coding algorithm; and a first predetermined time period, a second predetermined time period, a first predetermined number and a first predetermined length of time;
the data packet receiving unit is used for establishing connection with the vehicle-mounted GNSS equipment and receiving a data packet returned by the GNSS equipment, wherein the data packet comprises longitude and latitude information of a vehicle;
the encoding unit is used for carrying out Geohash encoding on the latitude and longitude of the prestored interest point to obtain a Geohash encoding area of the interest point; and Geohash coding is carried out on the longitude and latitude in the data packet received by the data packet receiving unit to obtain the Geohash coding of each vehicle;
the storage unit is used for storing the data packet received by the data packet receiving unit and the vehicle GeoHash code calculated by the encoding unit in a correlation manner;
the heat calculation unit is used for extracting a data packet of which the parking time of the vehicle Geohash code in the interest point Geohash coding region exceeds first preset time within a first preset time period, inquiring a corresponding vehicle according to the extracted data packet and removing the weight of the vehicle; and filtering the vehicle after weight removal: filtering out vehicles which exceed a first predetermined number of vehicles in the interest point Geohash encoding area in a second predetermined time period.
The platform of the design can carry out adaptive configuration on parameters according to the specific application scene, and has higher flexibility and environmental universality. And the design of the calculation mode and the storage mode of the data packet is convenient for the rapid extraction and calculation of the longitude and latitude and the data packet. The platform can rapidly and accurately calculate the heat of the interest point through smaller calculated amount.
Further, the first predetermined time period is included in the second predetermined time period.
Further, the encoding length of the Geohash encoding algorithm is configured to be 5 bits.
Further, the method for judging whether the vehicle is in the parking state by the heat calculation unit comprises the following steps: if the longitude and latitude in the second preset number of data packets continuously returned by the vehicle-mounted GNSS device of the vehicle are the same, judging that the vehicle is in a parking state;
the parameter configuration unit is further configured to configure the second predetermined number.
In summary, due to the adoption of the technical scheme, the invention has the beneficial effects that:
1. the method and the device aim at the calculation of large data volume, and can quickly and accurately calculate the self-driving heat degree of each interest point with smaller calculation amount.
2. According to the invention, the calculation parameters can be flexibly configured according to the application scene so as to improve the calculation pertinence.
3. The invention can provide accurate data support for other subsequent analyses of heat calculation, and the workload of manual analysis is reduced in reply.
Drawings
The invention will now be described, by way of example, with reference to the accompanying drawings, in which:
FIG. 1 is one embodiment of GeoHash algorithm partitioning.
Fig. 2 is an embodiment of a point of interest self-driving heat calculation method based on Geohash coding.
Fig. 3 is a structural diagram of a point of interest self-driving heat calculation platform based on Geohash coding.
Detailed Description
All of the features disclosed in this specification, or all of the steps in any method or process so disclosed, may be combined in any combination, except combinations of features and/or steps that are mutually exclusive.
Any feature disclosed in this specification (including any accompanying claims, abstract) may be replaced by alternative features serving equivalent or similar purposes, unless expressly stated otherwise. That is, unless expressly stated otherwise, each feature is only an example of a generic series of equivalent or similar features.
Basic introduction to the GeoHash algorithm:
GeoHash is an address coding method. The method can encode two-dimensional space longitude and latitude data into a character string. We divide the map into several rectangular areas of equal size. The GeoHash address codes of all longitudes and latitudes in the same rectangular area are the same, and the address codes of different rectangular areas are different. The size of the rectangular region (the accuracy of the Geohash code is higher when the rectangular region is smaller) can be manually modified in the algorithm according to the calculation requirements of the user. And the modification process is reversible, namely a corresponding longitude and latitude can be obtained through the Geohash code.
As shown in fig. 1, all the latitudes and longitudes within WX4ER are considered to be the same point (corresponding to the code WX4 ER) at the time of calculation.
Meanwhile, experiments prove that the algorithm of the Geohash has certain errors. The longer the Geohash code length (5 bits in the figure) is according to the principle of the algorithm, the smaller the error is, but the larger the amount of calculation is. The comparison between the code length and the error is shown in the following table:
for different application scenarios, different code lengths are used to balance errors and computational load.
Example one
The embodiment discloses a method for calculating the driving heat of interest points based on a Geohash code, which comprises the following steps of:
A. carrying out Geohash coding on the longitude and latitude of the interest point to obtain a Geohash coding area of the interest point;
B. performing Geohash coding on the longitude and latitude in the data packet returned by all the accessed vehicle-mounted GNSS devices to obtain the Geohash coding corresponding to each vehicle;
C. extracting a data packet of which the parking time of the vehicle Geohash code in the interest point Geohash coding region exceeds a first preset time in a first preset time period, inquiring a corresponding vehicle according to the extracted data packet, and removing repeated vehicles (namely only one vehicle record is reserved in the repeated vehicles);
the method for judging the parking state comprises the following steps: the data packets returned by the vehicle-mounted GNSS equipment have a certain frequency, and if a plurality of data packets continuously returned by the vehicle-mounted GNSS equipment all indicate that the vehicle is at the same position, namely the longitude and latitude are not changed, the vehicle can be judged to be in a parking state. The frequency of returning data packets by a typical vehicle-mounted GNSS device is 30 seconds/time, and if the vehicles are located at the same longitude and latitude on the surface of 10 consecutive returned data packets (i.e. 5 minutes), it is determined that the vehicles are in a parking state.
D. And (3) filtering the vehicle after weight removal: filtering out vehicles which exceed a first predetermined number of vehicles in the interest point Geohash encoding area in a second predetermined time period. The second predetermined period of time comprises the first predetermined period of time. The purpose is to eliminate vehicles entering the vicinity of the point of interest area due to non-self-driving travel.
Certain errors occur in the Geohash coding algorithm, that is, misjudgment (including a coordinate or loss) is easy to occur at a cell boundary, so that before the Geohash coding is performed on the longitude and latitude, the parameter configuration of the Geohash coding algorithm needs to be performed according to an application scene (details of an interest point). The parameter configuration includes configuration of a coding length, and generally speaking, according to a rule of Geohash coding, the longer the length is, the smaller a coding error is, and conversely, the larger a calculation amount is.
Under the general condition, because the longitude and latitude of the driving interest point on the map are not known in advance by the computing platform, the longitude and latitude of popular tourist attractions published by the country need to be recorded into the database of the computing platform after the longitude and latitude are inquired before computing, so that the result can be conveniently obtained finally. The operation is carried out once after the platform is built, and then small-range addition or modification can be carried out according to actual conditions.
Example two
Taking a selected interest point as an example, the embodiment discloses a self-driving heat degree calculation method of the interest point based on a Geohash code, which comprises the following steps:
A. carrying out Geohash coding on the longitude and latitude of the interest point to obtain a Geohash coding area of the interest point;
B. performing Geohash coding on the longitude and latitude in the data packet returned by all vehicle-mounted GNSS equipment of the access platform to obtain a Geohash code corresponding to each vehicle;
C. inquiring data packets returned by all vehicles in the holiday and festival time from the platform, extracting the data packets with the parking time of the Geohash codes in the Geohash coding region of the determined interest points exceeding k hours to determine the corresponding vehicles, and removing the weight of the inquired vehicles;
D. and inquiring a data packet of the vehicle in the last half or one year after the weight is removed, and filtering out vehicles with the vehicle Geohash codes more than n times in the interest point Geohash coding region. The remaining records indicate vehicles that are traveling at the point of interest.
Before the Geohash coding is performed on the longitude and latitude, the coding length needs to be configured (agreed).
Taking the scenic spot A as an example, the method for calculating the self-driving heat degree during the national celebration period of the scenic spot A based on the invention comprises the following steps:
the encoding length in the configuration Geohash encoding method is 5 bits.
S1: and calculating to obtain the Geohash code of the A scenic spot according to the longitude and latitude of the A scenic spot, wherein the scenic spot comprises a larger range, and for the Geohash subarea, the scenic spot necessarily comprises a plurality of subareas, so that the Geohash code is a Geohash coding area for the longitude and latitude code of the scenic spot.
S2: processing a data packet returned by the vehicle GNSS device: and carrying out Geohash coding on the longitude and latitude of the vehicle, and carrying out correlation storage on the data packet and the corresponding Geohash coding of the vehicle.
S3: and inquiring data packets of all vehicles in the national celebration holidays, extracting the data packets of which the parking time of the Geohash codes in the Geohash coding region of the scenic spot A exceeds (reaches) 3 hours, inquiring the corresponding vehicles according to the data packets, and removing the weights of the inquired vehicles.
S4: the data packet of the vehicle in the last year obtained in the query S3 is filtered to filter out vehicles whose Geohash codes of the vehicle in the last year appear more than 3 times (or are also specified in different days) in the Geohash code area of the scenic spot a. I.e. to filter out vehicles present near scenic spot a for non-self-driving travel purposes, e.g. to filter out operating vehicles.
The remaining records (vehicle number and details) after filtering can reflect the total number of the vehicles in the self-driving A scenic spot during the national celebration period in the platform, so as to reflect the popularity of the A scenic spot.
And for the screened data, according to the corresponding vehicle information record, further distinguishing the self-driving vehicles in and out of province, so as to analyze the popularity of scenic spots in and out of province. And simultaneously calculating a plurality of interest points, and obtaining the self-driving popularity ranking of the interest points. And performing geometric calculation analysis on the same interest point, and obtaining the periodic variation condition of the self-driving heat degree of the interest point.
EXAMPLE III
The embodiment discloses a point of interest self-driving heat calculation platform based on Geohash coding, as shown in fig. 3, the platform includes:
the parameter configuration unit is used for configuring the coding length of the Geohash coding algorithm; and a first predetermined time period, a second predetermined time period, a first predetermined number and a first predetermined length of time;
the data packet receiving unit is used for establishing connection with the vehicle-mounted GNSS equipment and receiving a data packet returned by the GNSS equipment, wherein the data packet comprises longitude and latitude information of a vehicle;
the encoding unit is used for carrying out Geohash encoding on the latitude and longitude of the prestored interest point to obtain a Geohash encoding area of the interest point; and Geohash coding is carried out on the longitude and latitude in the data packet received by the data packet receiving unit to obtain the Geohash coding of each vehicle;
the storage unit is used for storing the data packet received by the data packet receiving unit and the vehicle GeoHash code calculated by the encoding unit in a correlation manner;
the heat calculation unit is used for extracting a data packet of which the parking time of the vehicle Geohash code in the interest point Geohash coding region exceeds first preset time within a first preset time period, inquiring a corresponding vehicle according to the extracted data packet and removing the weight of the vehicle; and filtering the vehicle after weight removal: filtering out vehicles which exceed a first predetermined number of vehicles in the interest point Geohash encoding area in a second predetermined time period.
The method for judging the parking state of the vehicle comprises the following steps: if the second preset number of data packets continuously returned by the vehicle-mounted GNSS device all indicate that the vehicle is at the same position, namely the longitude and latitude are not changed, the vehicle can be judged to be in a parking state.
Taking the calculation of the self-driving heat during the holiday of national day of the scenic spot a as an example, the parameter configuration unit receives the configuration command, configures the coding length of the Geohash coding algorithm to be 5 bits, configures the first predetermined time period to be 1 month, 00:00-10 month, 7 days, 23:59 of the current year, configures the second predetermined time period to be the latest year, configures the first predetermined number to be 3, configures the first predetermined time period to be 3 hours, and configures the second predetermined number to be 10. The frequency of returning data packets by a typical vehicle-mounted GNSS device is 30 seconds/time, and if the vehicles are located at the same longitude and latitude on the surface of 10 consecutive returned data packets (i.e. 5 minutes), it is determined that the vehicles are in a parking state.
The data packet receiving unit receives data packets returned by the vehicle-mounted GNSS equipment of each vehicle accessing the platform; the encoding unit carries out Geohash encoding on the longitude and latitude of the interest point led into the platform and carries out Geohash encoding on the longitude and latitude in the data packet; the storage unit stores the data packet of each vehicle and the corresponding Geohash code in an associated manner; the heat calculation unit extracts data packets of which the parking time is more than 3 hours in the interest point Geohash coding region in the current year within 10 months, 1 day 00:00-10 months, 7 days, 23:59, and inquires out corresponding vehicles and removes the weight according to the extracted data packets; and filtering the vehicle after weight removal: vehicles which are Geohash coded more than 3 times in the interest point Geohash coding area in the last year are filtered out to obtain effective vehicle self-driving data.
The invention is not limited to the foregoing embodiments. The invention extends to any novel feature or any novel combination of features disclosed in this specification and any novel method or process steps or any novel combination of features disclosed.
Claims (8)
1. A self-driving heat degree calculation method of interest points based on Geohash codes is characterized by comprising the following steps:
A. carrying out Geohash coding on the longitude and latitude of the interest point to obtain a Geohash coding area of the interest point;
B. performing Geohash coding on the longitude and latitude in the data packet returned by all the accessed vehicle-mounted GNSS devices to obtain the Geohash coding corresponding to each vehicle;
C. extracting a data packet of which the parking time of the vehicle Geohash code in the interest point Geohash coding region exceeds a first preset time in a first preset time period, and inquiring a corresponding vehicle and removing the weight according to the extracted data packet;
D. and (3) filtering the vehicle after weight removal: filtering out vehicles exceeding a first preset number in the interest point Geohash coding area by the Geohash codes of the vehicles in a second preset time period; the first predetermined period of time is included in the second predetermined period of time.
2. The method for calculating the self-driving heat degree of the interest point based on the Geohash coding as claimed in claim 1, wherein before Geohash coding is performed on the longitude and latitude, the method further comprises a step of configuring the coding length in the Geohash coding method.
3. The method for calculating the self-driving heat of the interest point based on the Geohash coding as claimed in claim 2, wherein the coding length of the Geohash coding method is 5 bits.
4. The method for calculating the self-driving heat degree of the interest point based on the Geohash code as claimed in claim 1, wherein in the step C, the method for judging the parking state of the vehicle comprises the following steps:
and if the longitude and latitude in the second preset number of data packets continuously returned by the vehicle-mounted GNSS equipment of the vehicle are the same, judging that the vehicle is in a parking state.
5. The method for calculating the self-driving heat degree of the interest point based on the Geohash code as claimed in claim 1, wherein before the step a, the method further comprises the step of adjusting the longitude and latitude of the interest point.
6. A self-driving heat degree calculation platform of interest points based on Geohash codes is characterized by comprising the following steps:
the parameter configuration unit is used for configuring the coding length of the Geohash coding algorithm; and a first predetermined period of time, a second predetermined period of time, a first predetermined number and a first predetermined length of time, the first predetermined period of time being included in the second predetermined period of time;
the data packet receiving unit is used for establishing connection with the vehicle-mounted GNSS equipment and receiving a data packet returned by the GNSS equipment, wherein the data packet comprises longitude and latitude information of a vehicle;
the encoding unit is used for carrying out Geohash encoding on the latitude and longitude of the prestored interest point to obtain a Geohash encoding area of the interest point; and Geohash coding is carried out on the longitude and latitude in the data packet received by the data packet receiving unit to obtain the Geohash coding of each vehicle;
the storage unit is used for storing the data packet received by the data packet receiving unit and the vehicle GeoHash code calculated by the encoding unit in a correlation manner;
the heat calculation unit is used for extracting a data packet of which the parking time of the vehicle Geohash code in the interest point Geohash coding region exceeds first preset time within a first preset time period, inquiring a corresponding vehicle according to the extracted data packet and removing the weight of the vehicle; and filtering the vehicle after weight removal: filtering out vehicles which exceed a first predetermined number of vehicles in the interest point Geohash encoding area in a second predetermined time period.
7. The Geohash coding-based point of interest self-driving heat calculation platform as claimed in claim 6, wherein the coding length of the Geohash coding algorithm is configured to be 5 bits.
8. The Geohash code-based interest point self-driving heat degree calculation platform as claimed in claim 6, wherein the method for judging whether the vehicle is in a parking state by the heat degree calculation unit comprises the following steps: if the longitude and latitude in the second preset number of data packets continuously returned by the vehicle-mounted GNSS device of the vehicle are the same, judging that the vehicle is in a parking state;
the parameter configuration unit is further configured to configure the second predetermined number.
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