CN112181765A - Navigation map capacity monitoring method and system - Google Patents
Navigation map capacity monitoring method and system Download PDFInfo
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- CN112181765A CN112181765A CN202011027765.6A CN202011027765A CN112181765A CN 112181765 A CN112181765 A CN 112181765A CN 202011027765 A CN202011027765 A CN 202011027765A CN 112181765 A CN112181765 A CN 112181765A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/3003—Monitoring arrangements specially adapted to the computing system or computing system component being monitored
- G06F11/3037—Monitoring arrangements specially adapted to the computing system or computing system component being monitored where the computing system component is a memory, e.g. virtual memory, cache
Abstract
The invention relates to a navigation map capacity monitoring method and a system, wherein the method comprises the following steps: reading and analyzing the values of all fields of the map data according to a map data storage format, and outputting the maximum value of each field; calculating the change rate of the maximum value of each field according to a set period; and predicting the change trend and monitoring the capacity according to the change rate of each field. Through continuously monitoring various data of the map capacity, the aged change of the various data of the map capacity can be effectively analyzed, and the map data which is increased too fast is effectively prevented from increasing.
Description
Technical Field
The invention relates to the technical field of digital maps and geographic information, in particular to a navigation map capacity monitoring method and a navigation map capacity monitoring system.
Background
The map capacity is the amount of contents and information contained in the map, and its size is determined by the map editing design and map drawing operator's knowledge of the map application, drawing area and drawing object, and the utilization of drawing data.
The map representation method and the map with different symbol marks have different capacities, and the map with proper color configuration, fine and beautiful symbol and mark, good finishing and printing quality has larger capacity, and vice versa. The suitability of the capacity of the map is measured by considering the requirements of the map application, the scale of the map and the characteristics of the map making area, besides the content of the map. The maps with different purposes have different required capacities, different map making areas have different element densities, and the loading capacity of the small-scale map is larger than that of the large-scale map when the maps are the same.
With the continuous development and progress of society, the feature elements of the real world are continuously enriched and increased, the number of the elements recorded by the electronic map is continuously increased, the increase of the number of the elements brings the increase of the map capacity, and through the continuous and continuous increase of the number of the elements accumulated in the day and the month, the car machine is caused to have problems in the aspects of storage and efficiency, the user experience satisfaction is influenced, or the life cycle of the car machine is shortened.
Disclosure of Invention
The invention provides a navigation map capacity monitoring method and system aiming at technical problems in the prior art, and solves the problem that the life cycle of a vehicle machine of a navigation map is short in the prior art.
The technical scheme for solving the technical problems is as follows: a navigation map capacity monitoring method comprises the following steps:
step 1, reading and analyzing values of fields of map data according to a map data storage format, and outputting the maximum value of each field;
step 2, calculating the maximum change rate of each field according to a set period;
and 3, predicting the change trend and monitoring the capacity according to the change rate of each field.
A navigation map capacity monitoring system, comprising: the map data analysis module, the change rate calculation module and the monitoring module are arranged;
the map data analysis module is used for reading and analyzing the values of all fields of the map data according to a map data storage format and outputting the maximum value of each field;
the change rate calculation module is used for calculating the maximum change rate of each field according to a set period;
and the monitoring module is used for predicting the change trend and monitoring the capacity according to the change rate of each field.
The invention has the beneficial effects that: through continuously monitoring various data of the map capacity, the aged change of the various data of the map capacity can be effectively analyzed, and the map data which is increased too fast is effectively prevented from increasing.
On the basis of the technical scheme, the invention can be further improved as follows.
Further, the maximum value of each field is output in the step 1 in a text form;
and in the step 2, the output texts are transversely subjected to periodic accumulation comparison in a tabular form.
Further, after calculating the maximum variation rate of each field according to a set period in the step 2, the method further includes: calculating an average change rate and a maximum change rate;
the step 3 comprises the following steps: and respectively calculating the predicted values of the fields according to the period according to the annual average change rate and/or the maximum change rate.
Further, when the predicted value of any field exceeds a set threshold value, the change rate of the data size of each functional module of the navigation data of the field is counted according to the period.
Further, a capacity suppression policy is formulated for the one or more navigation data function modules with the maximum change rate.
And further, making a capacity suppression policy for the functional module of the navigation data with the change rate exceeding a set threshold value.
The beneficial effect of adopting the further scheme is that: the method can accurately analyze the future data change trend and the growth level, can accurately position out the over-limit object data, and can effectively monitor the over-fast object data of the map capacity growth, thereby adopting effective means to inhibit the growth of the data, leading the change rate of the navigation data to be changed stably without degrading the navigation data, improving the use satisfaction degree of users in practical application, and solving the problem that the map capacity is continuously increased by the continuous update of the map data to excessively shorten the life cycle of the vehicle machine.
Drawings
FIG. 1 is a flow chart of a method for monitoring the capacity of a navigation map according to the present invention;
FIG. 2 is a flowchart illustrating a method for monitoring the capacity of a navigation map according to an embodiment of the present invention;
FIG. 3 is a block diagram of a navigation map capacity monitoring system according to an embodiment of the present invention;
fig. 4 is a schematic physical structure diagram of an electronic device according to an embodiment of the present invention.
In the drawings, the components represented by the respective reference numerals are listed below:
101. the map data analysis system comprises a map data analysis module 102, a change rate calculation module 103, a monitoring module 201, a processor 202, a communication interface 203, a memory 204 and a communication bus.
Detailed Description
The principles and features of this invention are described below in conjunction with the following drawings, which are set forth by way of illustration only and are not intended to limit the scope of the invention.
As shown in fig. 1, a flow chart of a method for monitoring a navigation map capacity according to the present invention is shown in fig. 1, and the method includes:
step 1, reading and analyzing the values of all fields of the map data according to the map data storage format, and outputting the maximum value of each field. This field is a basic unit constituting navigation data.
In specific implementation, an analysis tool is developed according to the storage format and the characteristics of the map data, and the analysis tool is used for outputting the values of all the fields of the map data.
For example, the general X data adopts Binary format, and the development analysis tool develops according to the offset of the field of the data; the P data is in a table format, and the development analysis tool needs to be developed according to a database scheme.
And 2, calculating the change rate of the maximum value of each field according to a set period.
And 3, predicting the change trend and monitoring the capacity according to the change rate of each field.
The invention discloses a navigation map capacity monitoring method, which can effectively analyze the change of various data of map capacity over the years by continuously monitoring various data of the map capacity, and adopts effective means to inhibit the growth of a map by map data which grows too fast.
Example 1
Embodiment 1 provided by the present invention is an embodiment of a method for monitoring a navigation map capacity provided by the present invention, and as shown in fig. 2, is a flowchart of an embodiment of a method for monitoring a navigation map capacity provided by the present invention, as can be seen from fig. 2, the embodiment of the method includes:
step 1, reading and analyzing the values of all fields of the map data according to the map data storage format, and outputting the maximum value of each field.
Specifically, the maximum value of each field may be output in the form of text log.
And 2, calculating the change rate of the maximum value of each field according to a set period.
Specifically, in step 2, the output text is transversely subjected to periodic accumulation comparison in a tabular form. The period may be one year, i.e. the conversion rate calculated in step 2 is the annual rate of change of the maximum value of each field.
Preferably, after calculating the maximum variation rate of each field according to the set period, the method further includes: the average rate of change and the maximum rate of change are calculated.
And 3, predicting the change trend and monitoring the capacity according to the change rate of each field.
Specifically, the monitoring process may include: and respectively calculating the predicted values of the fields according to the average annual change rate and/or the maximum change rate and the period.
The formula for calculating future predictions from the average rate of change during monitoring is:
p+p*(average(n1,n2…))。
the formula for calculating the future predicted value according to the maximum change rate during monitoring is as follows:
p+p*(max(n1,n2…))。
where p represents the field value of the previous year, and n1, n2 in turn represent the rate of change of each year during monitoring.
And analyzing the change condition, and predicting the increasing or decreasing trend of the field for a certain future age according to the average change rate and/or the maximum change rate.
Specifically, in one embodiment, a capacity suppression policy is formulated for one or more function modules of navigation data with the largest change rate, and specifically, the navigation data may be divided into 6 function modules of POI (Point of Information) retrieval, background display, road calculation, real-time Traffic TMC (Traffic Information Channel), and route guidance according to functions.
In another embodiment, a function module of the navigation data with a change rate exceeding a set threshold is subjected to capacity suppression policy making.
And performing comparative analysis on the data size of the functional module of the navigation data, analyzing a module which grows faster, and making a capacity inhibition policy for the object module which grows faster so as to limit the future growth scale of the object module. Reaching its reasonable level.
Example 2
Embodiment 2 provided by the present invention is an embodiment of a navigation map capacity monitoring system provided by the present invention, and as shown in fig. 3, is a structural block diagram of an embodiment of a navigation map capacity monitoring system provided by the present invention, as can be seen from fig. 3, the system includes: a map data analysis module 101, a change rate calculation module 102 and a monitoring module 103.
The map data analysis module 101 is configured to read and analyze values of each field of the map data according to a map data storage format, and output a maximum value of each field.
And the change rate calculation module 102 is configured to calculate a maximum change rate of each field according to a set period.
And the monitoring module 103 is used for predicting the change trend and monitoring the capacity according to the change rate of each field.
Fig. 4 is a schematic entity structure diagram of an electronic device according to an embodiment of the present invention, and as shown in fig. 4, the electronic device may include: the system comprises a processor 201, a communication interface 202, a memory 203 and a communication bus 204, wherein the processor 201, the communication interface 202 and the memory 203 are communicated with each other through the communication bus 204. The processor 201 may call a computer program stored on the memory 203 and operable on the processor 201 to execute the navigation map capacity monitoring method provided by the above embodiments, for example, including: step 1, reading and analyzing values of each field of map data according to a map data storage format, and outputting the maximum value of each field; step 2, calculating the maximum change rate of each field according to a set period; and 3, predicting the change trend and monitoring the capacity according to the change rate of each field.
An embodiment of the present invention further provides a non-transitory computer-readable storage medium, on which a computer program is stored, where the computer program is implemented to perform the navigation map capacity monitoring method provided in the foregoing embodiments when executed by a processor, and the method includes: step 1, reading and analyzing values of each field of map data according to a map data storage format, and outputting the maximum value of each field; step 2, calculating the maximum change rate of each field according to a set period; and 3, predicting the change trend and monitoring the capacity according to the change rate of each field.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.
Claims (9)
1. A navigation map capacity monitoring method is characterized by comprising the following steps:
step 1, reading and analyzing values of fields of map data according to a map data storage format, and outputting the maximum value of each field;
step 2, calculating the maximum change rate of each field according to a set period;
and 3, predicting the change trend and monitoring the capacity according to the change rate of each field.
2. The method according to claim 1, wherein the maximum value of each field is output in step 1 in a text form;
and in the step 2, the output texts are transversely subjected to periodic accumulation comparison in a tabular form.
3. The method according to claim 1, wherein after calculating the maximum variation rate of each field according to a set period in step 2, the method further comprises: calculating an average change rate and a maximum change rate;
the step 3 comprises the following steps: and respectively calculating the predicted values of the fields according to the period according to the annual average change rate and/or the maximum change rate.
4. The method according to claim 3, characterized in that when the predicted value of any one of the fields exceeds a set threshold value, the change rate of the data size of each functional module of the navigation data of the field is counted according to the period, and the navigation data comprises six functional modules of POI retrieval, background display, road calculation, real-time traffic TMC and route induction.
5. The method of claim 4, wherein a capacity suppression policy is formulated for the one or more functional modules of the navigation data having the greatest rate of change.
6. The method of claim 4, wherein a functional module of the navigation data having a rate of change that exceeds a set threshold is enacted with capacity suppression guidelines.
7. A navigation map capacity monitoring system, the system comprising: the map data analysis module, the change rate calculation module and the monitoring module are arranged;
the map data analysis module is used for reading and analyzing the values of all fields of the map data according to a map data storage format and outputting the maximum value of each field;
the change rate calculation module is used for calculating the maximum change rate of each field according to a set period;
and the monitoring module is used for predicting the change trend and monitoring the capacity according to the change rate of each field.
8. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the steps of the navigation map capacity monitoring method according to any one of claims 1 to 6 are implemented when the processor executes the program.
9. A non-transitory computer readable storage medium having a computer program stored thereon, wherein the computer program when executed by a processor implements the steps of the navigation map capacity monitoring method according to any one of claims 1 to 6.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011027765.6A CN112181765A (en) | 2020-09-25 | 2020-09-25 | Navigation map capacity monitoring method and system |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202011027765.6A CN112181765A (en) | 2020-09-25 | 2020-09-25 | Navigation map capacity monitoring method and system |
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2014171111A1 (en) * | 2013-04-16 | 2014-10-23 | 株式会社デンソー | Map differential data distribution device, method for assessing function degradation of vehicle navigation device, and vehicle navigation device |
| CN108038018A (en) * | 2017-12-22 | 2018-05-15 | 杭州闪捷信息科技有限公司 | Expansible daily record data storage method and device |
| CN108460146A (en) * | 2018-03-20 | 2018-08-28 | 武汉光庭信息技术股份有限公司 | A kind of capacity method for reducing of map display data |
| CN110287082A (en) * | 2019-07-02 | 2019-09-27 | 中国工商银行股份有限公司 | Database table spatial content monitoring method and device |
| US20200226072A1 (en) * | 2019-01-15 | 2020-07-16 | SK Hynix Inc. | Memory controller having improved map data access performance and method of operating the same |
-
2020
- 2020-09-25 CN CN202011027765.6A patent/CN112181765A/en not_active Withdrawn
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2014171111A1 (en) * | 2013-04-16 | 2014-10-23 | 株式会社デンソー | Map differential data distribution device, method for assessing function degradation of vehicle navigation device, and vehicle navigation device |
| CN108038018A (en) * | 2017-12-22 | 2018-05-15 | 杭州闪捷信息科技有限公司 | Expansible daily record data storage method and device |
| CN108460146A (en) * | 2018-03-20 | 2018-08-28 | 武汉光庭信息技术股份有限公司 | A kind of capacity method for reducing of map display data |
| US20200226072A1 (en) * | 2019-01-15 | 2020-07-16 | SK Hynix Inc. | Memory controller having improved map data access performance and method of operating the same |
| CN110287082A (en) * | 2019-07-02 | 2019-09-27 | 中国工商银行股份有限公司 | Database table spatial content monitoring method and device |
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