Big data processing-based Beidou positioning information management method

Abstract

The invention relates to the technical field of Beidou positioning, in particular to a big data processing-based Beidou positioning information management method, which comprises the steps of receiving Beidou positioning information fed back by equipment operation, performing source equipment name marking on the Beidou positioning information in a Beidou positioning information receiving stage, and creating a cloud database, according to the method, the Beidou positioning information is classified and managed through the source of the Beidou positioning information, and the Beidou positioning information is cleaned based on the data consistency, so that invalid occupation of useless data on the storage space for storing the Beidou positioning information is avoided; and meanwhile, real Beidou positioning information is comprehensively estimated and output according to each piece of Beidou positioning information, and the moving path of the positioning target is further constructed and updated in real time based on the estimated Beidou positioning information, so that real-time effective and accurate tracking of the positioning target based on the Beidou positioning technology is ensured.

Description

Technical Field

[0001] The present invention relates to the field of Beidou positioning technology, and in particular to a Beidou positioning information management method based on big data processing. Background Art

[0002] Beidou positioning technology is a satellite navigation system independently developed by China. It consists of multiple satellites and can provide high-precision positioning, navigation and timing services to users around the world. Beidou positioning technology has the following advantages: high positioning accuracy, which can meet the needs of different scenarios; wide coverage, which can be used worldwide; short message communication function, which can achieve two-way communication in emergency situations. This technology is widely used in transportation, marine fisheries, surveying and mapping geographic information, forest fire prevention, power dispatching and other fields, providing great convenience and safety for people's production and life.

[0003] The invention patent with application number 201810123110.5 discloses a location information management device, which is characterized by comprising: a location information storage unit, which stores address change location information and entry location information for maintenance personnel who perform equipment maintenance in a building to enter the building; a location information abnormality judgment processing unit, which receives the positioning position information of the entry position obtained by positioning the mobile terminal held by the maintenance personnel via a data sending and receiving processing unit, and when the difference between the positioning position information and the entry position information stored in the location information storage unit is outside a predetermined range, outputs an alarm for correcting the entry position information; and a location information registration processing unit, which corrects the entry position information stored in the location information storage unit to the positioning position information.

[0004] This application aims to solve the problem that "when maintenance personnel want to enter a building on site, they first need to go to the entrance of the building. However, in the technology of patent document: 'Japanese Patent Gazette No. 2016-98078', the location of the building displayed on the map information does not necessarily indicate the entrance of the building. In order to display the entrance of the building on the map information, it is necessary to manage the information of the entrance of the building on site separately. If, even if the information of the entrance of the local building is managed, when the location information of the managed entrance is different from the location information of the actual entrance, the maintenance personnel have to spend time to confirm the actual entrance."

[0005] However, in order to improve the accuracy of obtaining the moving trajectory of the positioning target through Beidou positioning, multiple satellites will collect positioning information when locating the positioning target, so as to synthesize the position information of the positioning target. Although this method can improve the positioning accuracy, it lacks effective further management of the Beidou positioning information and the subsequent acquired moving trajectory of the positioning target;

[0006] To this end, we proposed a Beidou positioning information management method based on big data processing. Summary of the invention

[0007] In view of the above-mentioned shortcomings of the prior art, the present invention provides a Beidou positioning information management method based on big data processing, which solves the technical problems raised in the above-mentioned background technology.

[0008] To achieve the above objectives, the present invention is implemented through the following technical solutions:

[0009] A Beidou positioning information management method based on big data processing, comprising:

[0010] The Beidou positioning information fed back by the receiving device is marked with the name of the source device when the Beidou positioning information is received, a cloud database is created, several groups of differentiated storage intervals are set in the cloud database, and the differentiated storage intervals are used to differentiate and store the Beidou positioning information with different marks;

[0011] Query the approximate Beidou positioning information from the storage intervals of each zone in the cloud database, retrieve the queried Beidou positioning information from the storage intervals of each zone, and estimate the actual Beidou positioning information of the positioning target by combining the retrieved Beidou positioning information of each group;

[0012] Obtain the actual Beidou positioning information of the estimated positioning target, use the latitude and longitude information in the actual Beidou positioning information to determine the moving coordinates of the positioning target, and sort the moving coordinates according to the receiving timing of the Beidou positioning information where the latitude and longitude information of the determined moving coordinates of the positioning target is located;

[0013] According to the sorting result of the moving coordinates, the moving coordinates are connected to each other to construct the moving path of the positioning target, and the above operation is repeated to update the moving path of the positioning target in real time;

[0014] The output stage of the real-time moving path of the positioning target.

[0015] Furthermore, the Beidou positioning information feedback comes from several groups of different devices, each group of devices has a different name, and when setting the differentiated storage intervals in the cloud database, the number of differentiated storage intervals is set based on the number of Beidou positioning information feedback source devices;

[0016] Among them, when the Beidou positioning information is transmitted to the differentiated storage interval of the cloud database after marking, the mark of the Beidou positioning information is synchronously applied to the differentiated storage interval, and the differentiated storage interval is named. The cloud database is provided with data cleaning logic, and the cloud database cleans the Beidou positioning information stored in each differentiated storage interval based on the data cleaning logic.

[0017] Furthermore, the Beidou positioning information includes: positioning longitude, latitude, time, and signal strength, and the data cleaning logic is:

[0018] Each time the data is cleaned, a group of differentiated storage intervals is taken as the cleaning target, all Beidou positioning information in the differentiated storage intervals are traversed, the integrity and consistency of each group of Beidou positioning information are identified, one of the completely consistent Beidou positioning information is retained, and the rest is deleted. The incomplete Beidou positioning information is taken as the repair target, and the repair operation is performed to restore the incomplete Beidou positioning information to the complete Beidou positioning information;

[0019] Among them, all complete Beidou positioning information is taken as a set of data sets to perform data cleaning operations, and all restored complete Beidou positioning information is taken as a set of data sets to perform data cleaning operations.

[0020] Furthermore, the repair operation logic of the Beidou positioning information is expressed as:

[0021] Obtain incomplete Beidou positioning information, capture the information contained in the incomplete Beidou positioning information, select a group of information as reference target information, capture two groups of Beidou positioning information with adjacent reference target information, that is, with the smallest difference, in the complete Beidou positioning information, and further identify whether the two captured groups of Beidou positioning information are complete Beidou positioning information. If the identification result is yes, then end; if the identification result is no, then continue to capture the adjacent Beidou positioning information of the captured Beidou positioning information, until it is identified that the latest two groups of captured Beidou positioning information are complete Beidou positioning information;

[0022] Among them, when selecting a group of information as reference target information in the incomplete Beidou positioning information, time takes precedence over signal strength, and signal strength takes precedence over longitude and latitude. The missing information in the incomplete Beidou positioning information is the average of the corresponding information in the two adjacent groups of Beidou positioning information. Based on this, the repair of the incomplete Beidou positioning information is completed.

[0023] Furthermore, when querying the approximate Beidou positioning information in each partition storage interval, a group of Beidou positioning information in a group of partition storage intervals is selected each time as the query target of the approximate Beidou positioning information. The query logic of the approximate Beidou positioning information is expressed as follows:

[0024]

[0025] Where: S is the approximation of the two sets of Beidou positioning information; Ln, Ln' are the longitudes of the two sets of Beidou positioning information; La, La' are the latitudes of the two sets of Beidou positioning information; T, T' are the positioning time of the two sets of Beidou positioning information; R, R' are the positioning signal strengths of the two sets of Beidou positioning information; γ is the correction factor;

[0026] Among them, the correction factor γ takes a value of 1 or -1. If the correction factor γ makes the numerator of the fraction in which it is located less than or equal to the denominator, then the correction factor γ=1. Otherwise, the correction factor γ=-1. The larger the similarity S value of the two sets of Beidou positioning information, the more similar the two sets of Beidou positioning information are.

[0027] Furthermore, the actual Beidou positioning information estimation logic of the positioning target is expressed as:

[0028]

[0029] Where: η′ is the estimated actual Beidou positioning information; n is the set of original similar Beidou positioning information; η i is the i-th Beidou positioning information; ω i is the configuration weight of the i-th Beidou positioning information;

[0030] Among them, the estimated actual Beidou positioning information in the positioning longitude, latitude, and time are calculated based on the above formula. The set n of the original similar Beidou positioning information is composed of the Beidou positioning information similar to the query target queried in each partition storage interval and the Beidou positioning information corresponding to the query target.

[0031] Furthermore, the configuration weight of the Beidou positioning information in the actual Beidou positioning information estimation logic of the positioning target is subject to and:

[0032]

[0033] Where: ε is a constant; q is the number of information obtained for repair in the original Beidou positioning information set of the same type; Q is the total amount of information in the original Beidou positioning information set of the same type;

[0034] Among them, the constant ε takes a value of 1 to 10 and obeys, ω i Product object η i The earlier the reception time is, the larger the value of the constant ε is, and vice versa, the smaller the value of the constant ε is;

[0035] The configuration weight of the Beidou positioning information is subject to The larger the value, the larger the configuration weight value, and vice versa.

[0036] Furthermore, when sorting the mobile coordinates, the receiving timing of the Beidou positioning information containing any set of information in the positioning longitude and latitude is applied.

[0037] Furthermore, during the real-time updating process of the moving path of the positioning target, at most the latest moving path defined by two sets of newly acquired moving coordinates is updated each time.

[0038] Compared with the known public technology, the technical solution provided by the present invention has the following beneficial effects:

[0039] The present invention provides a Beidou positioning information management method based on big data processing. During the execution of the method, the Beidou positioning information is classified and managed according to the source of the Beidou positioning information, and the Beidou positioning information is cleaned based on data consistency to avoid invalid occupation of storage space for storing Beidou positioning information by useless data. At the same time, real Beidou positioning information is output according to comprehensive estimation of each Beidou positioning information, and the moving path of the positioning target is further constructed and updated in real time based on the estimated Beidou positioning information, so as to ensure real-time, effective and accurate tracking of the positioning target based on Beidou positioning technology. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the prior art descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention, and for ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0041] Figure 1 The figure is a flowchart of a Beidou positioning information management method based on big data processing. DETAILED DESCRIPTION

[0042] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0043] The present invention will be further described below in conjunction with the embodiments.

[0044] Embodiment 1:

[0045] A Beidou positioning information management method based on big data processing in this embodiment, such as Figure 1 As shown, including:

[0046] The Beidou positioning information fed back by the receiving device is marked with the name of the source device when the Beidou positioning information is received, a cloud database is created, several groups of differentiated storage intervals are set in the cloud database, and the differentiated storage intervals are used to differentiate and store the Beidou positioning information with different marks;

[0047] Query the approximate Beidou positioning information from the storage intervals of each zone in the cloud database, retrieve the queried Beidou positioning information from the storage intervals of each zone, and estimate the actual Beidou positioning information of the positioning target by combining the retrieved Beidou positioning information of each group;

[0048] Obtain the actual Beidou positioning information of the estimated positioning target, use the latitude and longitude information in the actual Beidou positioning information to determine the moving coordinates of the positioning target, and sort the moving coordinates according to the receiving timing of the Beidou positioning information where the latitude and longitude information of the determined moving coordinates of the positioning target is located;

[0049] According to the sorting result of the moving coordinates, the moving coordinates are connected to each other to construct the moving path of the positioning target, and the above operation is repeated to update the moving path of the positioning target in real time;

[0050] The output stage of the real-time moving path of the positioning target;

[0051] When querying the approximate Beidou positioning information in each partition storage interval, a group of Beidou positioning information in a partition storage interval is selected each time as the query target of the approximate Beidou positioning information. The query logic of the approximate Beidou positioning information is expressed as follows:

[0052]

[0053] Where: S is the approximation of the two sets of Beidou positioning information; Ln, Ln' are the longitudes of the two sets of Beidou positioning information; La, La' are the latitudes of the two sets of Beidou positioning information; T, T' are the positioning time of the two sets of Beidou positioning information; R, R' are the positioning signal strengths of the two sets of Beidou positioning information; γ is the correction factor;

[0054] Among them, the correction factor γ takes a value of 1 or -1. If the correction factor γ makes the numerator of the fraction less than or equal to the denominator, then the correction factor γ=1. Otherwise, the correction factor γ=-1. The larger the approximation S value of the two sets of Beidou positioning information is, the more similar the two sets of Beidou positioning information are.

[0055] The actual Beidou positioning information estimation logic of the positioning target is expressed as:

[0056]

[0057] Where: η′ is the estimated actual Beidou positioning information; n is the set of original similar Beidou positioning information; ηi is the i-th Beidou positioning information; ω i is the configuration weight of the i-th Beidou positioning information;

[0058] Among them, the estimated actual Beidou positioning information in the positioning longitude, latitude, and time are calculated based on the above formula, and the original set n of similar Beidou positioning information is composed of Beidou positioning information similar to the query target and Beidou positioning information corresponding to the query target queried in each storage interval;

[0059] The configuration weight of Beidou positioning information in the estimation logic of the actual Beidou positioning information of the positioning target obeys and:

[0060]

[0061] Where: ε is a constant; q is the number of information obtained for repair in the original Beidou positioning information set of the same type; Q is the total amount of information in the original Beidou positioning information set of the same type;

[0062] Among them, the constant ε takes a value of 1 to 10 and obeys, ω i Product object η i The earlier the reception time is, the larger the value of the constant ε is, and vice versa, the smaller the value of the constant ε is;

[0063] The configuration weight of Beidou positioning information follows The larger the value, the larger the configuration weight value, and vice versa.

[0064] In this embodiment, through the execution of the method in the above embodiment, effective logical management is brought to the Beidou positioning information, and accurate acquisition of mobile paths is provided for the service target of the Beidou positioning information, further enhancing the application of Beidou positioning technology in mobile target tracking scenarios.

[0065] Embodiment 2:

[0066] In terms of specific implementation, based on Example 1, this example refers to Figure 1 A Beidou positioning information management method based on big data processing in Example 1 is further described in detail:

[0067] Beidou positioning information feedback comes from several groups of different devices, and the names of each group of devices are different. When setting the storage intervals in the cloud database, the number of storage intervals is set based on the number of Beidou positioning information feedback source devices;

[0068] Among them, when the Beidou positioning information is transmitted to the differentiated storage interval of the cloud database after the marking is completed, the mark of the Beidou positioning information is synchronously applied to the differentiated storage interval, and the differentiated storage interval is named. The cloud database is provided with a data cleaning logic, and the cloud database cleans the Beidou positioning information stored in each differentiated storage interval based on the data cleaning logic;

[0069] Beidou positioning information includes: positioning longitude, latitude, time, signal strength, and data cleaning logic is:

[0070] Each time the data is cleaned, a group of differentiated storage intervals is taken as the cleaning target, all Beidou positioning information in the differentiated storage intervals are traversed, the integrity and consistency of each group of Beidou positioning information are identified, one of the completely consistent Beidou positioning information is retained, and the rest is deleted. The incomplete Beidou positioning information is taken as the repair target, and the repair operation is performed to restore the incomplete Beidou positioning information to the complete Beidou positioning information;

[0071] Among them, all complete Beidou positioning information is taken as a set of data sets to perform data cleaning operations, and all restored complete Beidou positioning information is taken as a set of data sets to perform data cleaning operations;

[0072] The logic of the repair operation of Beidou positioning information is expressed as follows:

[0073] Obtain incomplete Beidou positioning information, capture the information contained in the incomplete Beidou positioning information, select a group of information as reference target information, capture two groups of Beidou positioning information with adjacent reference target information, that is, with the smallest difference, in the complete Beidou positioning information, and further identify whether the two captured groups of Beidou positioning information are complete Beidou positioning information. If the identification result is yes, then end; if the identification result is no, then continue to capture the adjacent Beidou positioning information of the captured Beidou positioning information, until it is identified that the latest two groups of captured Beidou positioning information are complete Beidou positioning information;

[0074] Among them, when selecting a group of information as reference target information in the incomplete Beidou positioning information, time takes precedence over signal strength, and signal strength takes precedence over longitude and latitude. The missing information in the incomplete Beidou positioning information is the average of the corresponding information in the two adjacent groups of Beidou positioning information. Based on this, the repair of the incomplete Beidou positioning information is completed.

[0075] In this embodiment, through the above settings, the repair operation logic of Beidou positioning information is further limited, and at the same time, execution data and logic support are provided for the method in Example 1 to ensure the stable execution of the method in Example 1 and bring effective management to Beidou positioning information.

[0076] Embodiment 3:

[0077] In terms of specific implementation, based on Example 1, this example refers to Figure 1 A Beidou positioning information management method based on big data processing in Example 1 is further described in detail:

[0078] When sorting the mobile coordinates, the receiving timing of the Beidou positioning information where any set of information in the positioning longitude and latitude is located is applied;

[0079] During the real-time update process of the moving path of the positioning target, at most the latest moving path defined by two sets of newly acquired moving coordinates is updated each time.

[0080] In summary, during the execution of the method in the above embodiment, the Beidou positioning information is classified and managed according to the source of the Beidou positioning information, and the Beidou positioning information is cleaned based on data consistency to avoid invalid occupation of the storage space for storing Beidou positioning information by useless data. At the same time, the real Beidou positioning information is output based on the comprehensive estimation of each Beidou positioning information, and the moving path of the positioning target is further constructed and updated in real time based on the estimated Beidou positioning information, ensuring real-time, effective and accurate tracking of the positioning target based on Beidou positioning technology.

[0081] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements will not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A Beidou positioning information management method based on big data processing, characterized in that: include: The Beidou positioning information fed back by the receiving device is marked with the name of the source device when the Beidou positioning information is received, a cloud database is created, several groups of differentiated storage intervals are set in the cloud database, and the differentiated storage intervals are used to differentiate and store the Beidou positioning information with different marks; Query the approximate Beidou positioning information from the storage intervals of each zone in the cloud database, retrieve the queried Beidou positioning information from the storage intervals of each zone, and estimate the actual Beidou positioning information of the positioning target by combining the retrieved Beidou positioning information of each group; Obtain the actual Beidou positioning information of the estimated positioning target, use the latitude and longitude information in the actual Beidou positioning information to determine the moving coordinates of the positioning target, and sort the moving coordinates according to the receiving timing of the Beidou positioning information where the latitude and longitude information of the determined moving coordinates of the positioning target is located; According to the sorting result of the moving coordinates, the moving coordinates are connected to each other to construct the moving path of the positioning target, and the above operation is repeated to update the moving path of the positioning target in real time; The output stage of the real-time moving path of the positioning target.

2. The Beidou positioning information management method based on big data processing according to claim 1 is characterized in that: The Beidou positioning information feedback comes from several groups of different devices, each group of devices has a different name, and when setting the storage intervals in the cloud database, the number of storage intervals is set based on the number of Beidou positioning information feedback source devices; Among them, when the Beidou positioning information is transmitted to the differentiated storage interval of the cloud database after marking, the mark of the Beidou positioning information is synchronously applied to the differentiated storage interval, and the differentiated storage interval is named. The cloud database is provided with data cleaning logic, and the cloud database cleans the Beidou positioning information stored in each differentiated storage interval based on the data cleaning logic.

3. The Beidou positioning information management method based on big data processing according to claim 2 is characterized in that: The Beidou positioning information includes: positioning longitude, latitude, time, and signal strength. The data cleaning logic is: Each time the data is cleaned, a group of differentiated storage intervals is taken as the cleaning target, all Beidou positioning information in the differentiated storage intervals are traversed, the integrity and consistency of each group of Beidou positioning information are identified, one of the completely consistent Beidou positioning information is retained, and the rest is deleted. The incomplete Beidou positioning information is taken as the repair target, and the repair operation is performed to restore the incomplete Beidou positioning information to the complete Beidou positioning information; Among them, all complete Beidou positioning information is taken as a set of data sets to perform data cleaning operations, and all restored complete Beidou positioning information is taken as a set of data sets to perform data cleaning operations.

4. The Beidou positioning information management method based on big data processing according to claim 3 is characterized in that: The repair operation logic of the Beidou positioning information is expressed as follows: Obtain incomplete Beidou positioning information, capture the information contained in the incomplete Beidou positioning information, select a group of information as reference target information, capture two groups of Beidou positioning information with adjacent reference target information, that is, with the smallest difference, in the complete Beidou positioning information, and further identify whether the two captured groups of Beidou positioning information are complete Beidou positioning information. If the identification result is yes, then end; if the identification result is no, then continue to capture the adjacent Beidou positioning information of the captured Beidou positioning information, until it is identified that the latest two groups of captured Beidou positioning information are complete Beidou positioning information; Among them, when selecting a group of information as reference target information in the incomplete Beidou positioning information, time takes precedence over signal strength, and signal strength takes precedence over longitude and latitude. The missing information in the incomplete Beidou positioning information is the average of the corresponding information in the two adjacent groups of Beidou positioning information. Based on this, the repair of the incomplete Beidou positioning information is completed.

5. The Beidou positioning information management method based on big data processing according to claim 1 is characterized in that: When querying the approximate Beidou positioning information in each partition storage interval, a group of Beidou positioning information in a partition storage interval is selected each time as the query target of the approximate Beidou positioning information. The query logic of the approximate Beidou positioning information is expressed as follows: Where: S is the approximation of the two sets of Beidou positioning information; Ln, Ln' are the longitudes of the two sets of Beidou positioning information; La, La' are the latitudes of the two sets of Beidou positioning information; T, T' are the positioning time of the two sets of Beidou positioning information; R, R' are the positioning signal strengths of the two sets of Beidou positioning information; γ is the correction factor; Among them, the correction factor γ takes a value of 1 or -1. If the correction factor γ makes the numerator of the fraction in which it is located less than or equal to the denominator, then the correction factor γ=1. Otherwise, the correction factor γ=-1. The larger the similarity S value of the two sets of Beidou positioning information, the more similar the two sets of Beidou positioning information are.

6. The Beidou positioning information management method based on big data processing according to claim 1 is characterized in that: The actual Beidou positioning information estimation logic of the positioning target is expressed as: Where: η′ is the estimated actual Beidou positioning information; n is the set of original similar Beidou positioning information; η i is the i-th Beidou positioning information; ω i is the configuration weight of the i-th Beidou positioning information; Among them, the estimated actual Beidou positioning information in the positioning longitude, latitude, and time are calculated based on the above formula. The set n of the original similar Beidou positioning information is composed of the Beidou positioning information similar to the query target queried in each partition storage interval and the Beidou positioning information corresponding to the query target.

7. The Beidou positioning information management method based on big data processing according to claim 6 is characterized in that: The configuration weight of the Beidou positioning information in the actual Beidou positioning information estimation logic of the positioning target is subject to and: Where: ε is a constant; q is the number of information obtained for repair in the original Beidou positioning information set of the same type; Q is the total amount of information in the original Beidou positioning information set of the same type; Among them, the constant ε takes a value of 1 to 10 and obeys, ω i Product object η i The earlier the reception time is, the larger the value of the constant ε is, and vice versa, the smaller the value of the constant ε is; The configuration weight of the Beidou positioning information is subject to The larger the value, the larger the configuration weight value, and vice versa.

8. The Beidou positioning information management method based on big data processing according to claim 1 is characterized in that: When sorting the mobile coordinates, the receiving timing of the Beidou positioning information containing any set of information in the positioning longitude and latitude is applied.

9. The Beidou positioning information management method based on big data processing according to claim 1 is characterized in that: During the real-time updating process of the moving path of the positioning target, the latest moving path defined by at most two sets of newly acquired moving coordinates is updated each time.

Images