Geographic data acquisition method and device, computer equipment and storage medium

Abstract

The invention relates to a geographic data acquisition method and device, computer equipment and a storage medium. The method comprises the following steps: determining a geographic data source to which geographic data to be collected belongs; analyzing geographic data characteristics of the geographic data source, and determining a data acquisition strategy; and collecting the geographic data to be collected according to the data collection strategy. By adopting the method, the geographic data acquisition efficiency can be improved.

Description

Technical Field

[0001] This application relates to the technical field of data acquisition, and particularly to a method, device, computer device, and storage medium for collecting geographical data. Background Art

[0002] With the rapid development of big data and geographic information system technologies, the acquisition and storage of geographical data have become increasingly common. However, how to effectively collect a large amount of geographical data remains a difficult point in current technologies. Summary of the Invention

[0003] Based on this, in view of the above technical problems, it is necessary to provide a method, device, computer device, and storage medium for collecting geographical data that can improve the efficiency of geographical data collection.

[0004] On the one hand, a method for collecting geographical data is provided, and the method includes:

[0005] Determine the geographical data source to which the geographical data to be collected belongs;

[0006] Analyze the geographical data characteristics of the geographical data source to determine a data collection strategy;

[0007] Collect the geographical data to be collected according to the data collection strategy.

[0008] In some embodiments, the geographical data source includes at least one of a remote sensing image data source, a geographic information system data source, and a sensor data source. The step of analyzing the geographical data characteristics of the geographical data source to determine a data collection strategy includes:

[0009] Analyze the remote sensing image data characteristics of the remote sensing image data source to determine a collection trigger strategy for the remote sensing image data;

[0010] Analyze the geographical information system data characteristics of the geographical information system data source to determine a data integration strategy for the geographical information system data; and / or

[0011] Analyze the sensor data characteristics of the sensor data source to determine a collection frequency strategy for the sensor data.

[0012] In some embodiments, the step of analyzing the remote sensing image data characteristics of the remote sensing image data source to determine a collection trigger strategy for the remote sensing image data includes:

[0013] Obtain at least one of the resolution difference characteristics, cloud cover characteristics, and illumination change characteristics of the remote sensing image data source;

[0014] Determine a collection trigger strategy based on at least one of the resolution difference characteristics, cloud cover characteristics, and illumination change characteristics.

[0015] In some embodiments, the resolution difference characteristic includes the difference between the current resolution and the target resolution and the maximum allowable difference between the resolution and the target resolution, the cloud occlusion characteristic includes the cloud coverage rate and the cloud sensitivity, and the light change characteristic includes the light intensity and the maximum tolerable light intensity of the sensor; the step of determining the acquisition trigger strategy according to at least one of the resolution difference characteristic, the cloud occlusion characteristic, and the light change characteristic includes:

[0016] Obtain the difference between the current resolution and the target resolution, the maximum allowable difference between the resolution and the target resolution, the cloud coverage rate, the cloud sensitivity, the light intensity, and the maximum tolerable light intensity of the sensor, and establish an acquisition trigger strategy model;

[0017] Obtain the output result of the acquisition trigger strategy model, and determine the acquisition trigger strategy based on the output result.

[0018] In some embodiments, the step of analyzing the GIS data characteristics of the GIS data source and determining the data integration strategy of the GIS data includes:

[0019] Obtain at least one of the data format consistency, spatial accuracy, and complexity of the GIS data source;

[0020] Determine the data integration strategy according to at least one of the data format consistency, spatial accuracy, and complexity of the data source.

[0021] In some embodiments, the step of determining the data integration strategy according to at least one of the data format consistency, spatial accuracy, and complexity of the data source includes:

[0022] Based on the data format consistency, spatial accuracy, and complexity of the GIS data source, create a data quality evaluation function for the GIS data;

[0023] Score the GIS data according to the data quality evaluation function, and determine the data integration strategy based on the scoring result.

[0024] In some embodiments, the step of analyzing the sensor data characteristics of the sensor data source and determining the acquisition frequency strategy of the sensor data includes:

[0025] Obtain the sensor status characteristics of the sensor data source;

[0026] Determine whether the sensor status characteristics meet the preset conditions;

[0027] When the sensor status characteristics meet the preset conditions, generate an acquisition frequency strategy for reducing the current acquisition frequency;

[0028] When the sensor status characteristics do not meet the preset conditions, a collection frequency strategy for collection according to the current collection frequency is generated.

[0029] On the other hand, the present application also provides a collection device for geographic data. The device includes:

[0030] A geographic data source determination module for determining the geographic data source to which the geographic data to be collected belongs;

[0031] A data collection strategy determination module for analyzing the geographic data characteristics of the geographic data source to determine a data collection strategy;

[0032] A collection module for collecting the geographic data to be collected according to the data collection strategy.

[0033] In some embodiments, the geographic data source includes at least one of a remote sensing image data source, a geographic information system data source, and a sensor data source. The data collection strategy determination module includes:

[0034] A collection trigger strategy determination sub-module for analyzing the remote sensing image data characteristics of the remote sensing image data source to determine a collection trigger strategy for the remote sensing image data;

[0035] A data integration strategy determination sub-module for analyzing the geographic information system data characteristics of the geographic information system data source to determine a data integration strategy for the geographic information system data; and / or

[0036] A collection frequency strategy determination sub-module for analyzing the sensor data characteristics of the sensor data source to determine a collection frequency strategy for the sensor data.

[0037] In some embodiments, the collection trigger strategy determination sub-module is used for:

[0038] Obtaining at least one of the resolution difference characteristics, cloud occlusion characteristics, and illumination change characteristics of the remote sensing image data source;

[0039] Determining a collection trigger strategy according to at least one of the resolution difference characteristics, cloud occlusion characteristics, and illumination change characteristics.

[0040] In some embodiments, the resolution difference characteristics include the difference between the current resolution and the target resolution and the maximum allowable difference between the resolution and the target resolution. The cloud occlusion characteristics include the cloud coverage rate and the cloud sensitivity. The illumination change characteristics include the illumination intensity and the maximum tolerable illumination intensity of the sensor. The collection trigger strategy determination sub-module is further used for:

[0041] Obtain the difference between the current resolution and the target resolution, the maximum allowable difference between the resolution and the target resolution, the cloud coverage, the cloud sensitivity, the light intensity, and the maximum tolerable light intensity of the sensor, and establish a collection trigger strategy model;

[0042] Obtain the output result of the collection trigger strategy model, and determine the collection trigger strategy based on the output result.

[0043] In some embodiments, the collection trigger strategy determination sub-module is further configured to:

[0044] Determine whether the output result of the collection trigger strategy model is greater than a preset threshold;

[0045] In response to the output result of the collection trigger strategy model being greater than the preset threshold, generate a collection trigger strategy for triggering the collection of remote sensing image data;

[0046] In response to the output result of the collection trigger strategy model not being greater than the preset threshold, generate a collection trigger strategy for stopping the collection of remote sensing image data.

[0047] In some embodiments, the data integration strategy determination sub-module is configured to:

[0048] Obtain at least one of the data format consistency, spatial accuracy, and complexity of the geographic information system data source;

[0049] Determine the data integration strategy according to at least one of the data format consistency, spatial accuracy, and complexity of the data source.

[0050] In some embodiments, the data integration strategy determination sub-module is further configured to:

[0051] Based on the data format consistency, spatial accuracy, and complexity of the geographic information system data source, create a data quality evaluation function for the geographic information system data;

[0052] Score the geographic information system data according to the data quality evaluation function, and determine the data integration strategy based on the scoring result.

[0053] In some embodiments, the data integration strategy determination sub-module is further configured to:

[0054] Determine whether the scoring result is greater than a preset score;

[0055] In response to the scoring result being greater than the preset score, generate a data integration strategy for integrating the geographic information system data;

[0056] In response to the scoring result not being greater than the preset score, generate a data integration strategy for stopping the integration of the geographic information system data.

[0057] In some embodiments, the acquisition frequency strategy determination sub-module is configured to:

[0058] Obtain the sensor state characteristics of the sensor data source;

[0059] Determine whether the sensor state characteristics meet the preset conditions;

[0060] When the sensor state characteristics meet the preset conditions, generate an acquisition frequency strategy for reducing the current acquisition frequency;

[0061] When the sensor state characteristics do not meet the preset conditions, generate an acquisition frequency strategy for acquiring data at the current acquisition frequency.

[0062] On the other hand, a computer device is provided, including a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the computer program, the following steps are implemented:

[0063] Determine the geographic data source to which the geographic data to be acquired belongs;

[0064] Analyze the geographic data characteristics of the geographic data source to determine a data acquisition strategy;

[0065] Acquire the geographic data to be acquired according to the data acquisition strategy.

[0066] On another hand, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the following steps are implemented:

[0067] Determine the geographic data source to which the geographic data to be acquired belongs;

[0068] Analyze the geographic data characteristics of the geographic data source to determine a data acquisition strategy;

[0069] Acquire the geographic data to be acquired according to the data acquisition strategy.

[0070] For the above-mentioned method, device, computer device, and storage medium for acquiring geographic data, by first determining the geographic data source to which the geographic data to be acquired belongs, then analyzing the geographic data characteristics of the geographic data source to determine a data acquisition strategy, and finally acquiring the geographic data to be acquired according to the data acquisition strategy, the efficiency of geographic data acquisition is improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0071] Figure 1 It is an application environment diagram of the method for acquiring geographic data provided by an embodiment of the present invention;

[0072] Figure 2 It is a flowchart of the method for acquiring geographic data provided by an embodiment of the present invention;

[0073] Figure 3 Another flowchart of the method for collecting geographic data provided by an embodiment of the present invention;

[0074] Figure 4 Block diagram of the structure of the device for collecting geographic data provided by an embodiment of the present invention;

[0075] Figure 5 Internal structure diagram of the computer device provided by an embodiment of the present invention. Detailed implementation manners

[0076] In order to make the objectives, technical solutions and advantages of the present application clearer, the present application will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0077] The method for collecting geographic data provided by the present application can be applied to an application environment as shown in Figure 1 In the figure. Among them, the terminal 102 communicates with the server 104 through a network.

[0078] Among them, the terminal 102 can be but is not limited to various personal computers, laptop computers, smart phones, tablet computers, and portable wearable devices. A corresponding geographic data source is integrated on the terminal 102, such as a remote sensing image data source, a geographic information system data source, and / or a sensor data source, etc. The server 104 can be implemented by an independent server or a server cluster composed of multiple servers. The server 104 first determines the geographic data source to which the geographic data to be collected belongs, then analyzes the geographic data characteristics of the geographic data source in the terminal 102 to determine a data collection strategy. Finally, according to the data collection strategy, the geographic data to be collected is collected.

[0079] In one embodiment, as shown in Figure 2 In the figure, a method for collecting geographic data is provided. Taking the method applied to the server in Figure 1 as an example, the method includes the following steps:

[0080] Step S101: Determine the geographic data source to which the geographic data to be collected belongs;

[0081] In some embodiments, the geographic data source in the present application is the source of the geographic data to be collected or the system or location that provides the geographic data to be collected. For example, the geographic data source includes at least one of a remote sensing image data source, a geographic information system data source, and a sensor data source.

[0082] It should be noted that when the geographic data source is a remote sensing image data source, the geographic data to be collected includes remote sensing image data. When the geographic data source is a geographic information system data source, the geographic data to be collected includes geographic information system data. When the geographic data source is a sensor data source, the geographic data to be collected includes sensor data.

[0083] Step S102: Analyze the geographic data characteristics of the geographic data source to determine a data acquisition strategy.

[0084] Geographic data characteristics refer to some inherent attributes or features of the geographic data itself, which describe the behavior and performance of the geographic data during storage, processing, and use. Different geographic data sources have different geographic data characteristics.

[0085] It should be noted that when there are multiple geographic data sources to which the geographic data to be collected belongs, corresponding data acquisition strategies for each geographic data source can be formulated according to the different geographic data characteristics of the geographic data sources. In some embodiments, the step of analyzing the geographic data characteristics of the geographic data source to determine a data acquisition strategy includes:

[0086] S1021: Analyze the remote sensing image data characteristics of the remote sensing image data source to determine a collection trigger strategy for the remote sensing image data; analyze the geographic information system data characteristics of the geographic information system data source to determine a data integration strategy for the geographic information system data; and / or analyze the sensor data characteristics of the sensor data source to determine a collection frequency strategy for the sensor data.

[0087] In some embodiments, the step of analyzing the remote sensing image data characteristics of the remote sensing image data source to determine a collection trigger strategy includes:

[0088] (A1) Obtain at least one of the resolution difference characteristics, cloud occlusion characteristics, and illumination change characteristics of the remote sensing image data source;

[0089] (A2) Determine a collection trigger strategy based on at least one of the resolution difference characteristics, cloud occlusion characteristics, and illumination change characteristics.

[0090] The quality of remote sensing images is mainly affected by resolution, cloud occlusion, and illumination change. Therefore, in this application, at least one of the resolution difference characteristics, cloud occlusion characteristics, and illumination change characteristics of the remote sensing image data source can be analyzed to determine a collection trigger strategy.

[0091] It should be noted that the resolution difference characteristic includes the difference between the current resolution and the target resolution and the maximum allowable difference between the resolution and the target resolution, the cloud occlusion characteristic includes the cloud coverage rate and the cloud sensitivity, and the illumination change characteristic includes the illumination intensity and the maximum tolerable illumination intensity of the sensor.

[0092] The step of determining the acquisition trigger strategy according to at least one of the resolution difference characteristic, the cloud occlusion characteristic, and the illumination change characteristic includes:

[0093] (B1) Obtain the difference between the current resolution and the target resolution, the maximum allowable difference between the resolution and the target resolution, the cloud coverage rate, the cloud sensitivity, the illumination intensity, and the maximum tolerable illumination intensity of the sensor, and establish an acquisition trigger strategy model;

[0094] (B2) Obtain the output result of the acquisition trigger strategy model, and determine the acquisition trigger strategy based on the output result.

[0095] In some embodiments, the acquisition trigger strategy model is specifically as follows:

[0096]

[0097] Where t represents time, R t is the difference between the current resolution and the target resolution, R max is the maximum allowable difference between the resolution and the target resolution, C t is the cloud coverage rate; γ is the attenuation coefficient, controlling the cloud sensitivity; S t is the illumination intensity, S max is the maximum tolerable illumination intensity of the sensor; α, β, and δ are weight coefficients. The acquisition trigger strategy model outputs W t .

[0098] In some embodiments, the step of determining the acquisition trigger strategy based on the output result includes:

[0099] (C1) Determine whether the output result of the acquisition trigger strategy model is greater than a preset threshold;

[0100] (C2) In response to the output result of the acquisition trigger strategy model being greater than the preset threshold, generate an acquisition trigger strategy for triggering the acquisition of remote sensing image data;

[0101] (C3) In response to the output result of the acquisition trigger strategy model not being greater than the preset threshold, generate an acquisition trigger strategy for stopping the acquisition of remote sensing image data.

[0102] The acquisition trigger strategy model outputs W t , in response to W tWhen it is greater than a preset threshold, a collection trigger strategy for triggering the collection of remote sensing image data is generated to quickly collect high-quality remote sensing image data and improve the collection efficiency. In response to W t When it is not greater than the preset threshold, a collection trigger strategy for stopping the collection of remote sensing image data is generated to avoid collecting low-quality remote sensing image data.

[0103] In some embodiments, analyzing the geographic information system data characteristics of the geographic information system data source to determine the steps of the data integration strategy for the geographic information system data includes:

[0104] (D1) Obtain at least one of data format consistency, spatial accuracy, and complexity of the geographic information system data source;

[0105] (D2) Determine the data integration strategy according to at least one of data format consistency, spatial accuracy, and complexity of the geographic information system data source.

[0106] There are many types of geographic data in the geographic information system data source. In order to effectively integrate a large number of data, a data integration strategy for the geographic information system data can be formulated according to at least one of data format consistency, spatial accuracy, and complexity.

[0107] In some embodiments, the steps of determining the data integration strategy according to at least one of data format consistency, spatial accuracy, and complexity of the geographic information system data source include:

[0108] (E1) Based on the data format consistency, spatial accuracy, and complexity of the geographic information system data source, create a data quality evaluation function for the geographic information system data;

[0109] (E2) Score the geographic information system data according to the data quality evaluation function and determine the data integration strategy based on the scoring results.

[0110] In some embodiments, the specific creation of the data quality evaluation function for the geographic information system data is as follows:

[0111]

[0112] Q is the comprehensive quality score of the geographic information system data source G k of, Consistency(G k ,G ref ) is the cosine similarity between the geographic information system data source G k and the reference data G ref , Precision(G k ) is the reciprocal of the meter-level error of the geographic information system data source G k , that is, the geographic information system data source Gk Spatial accuracy; Complexity(G k ) is the element density × attribute dimension of the geographic information system data source G k , that is, the data complexity of the geographic information system data source G k ; w1 and w2 are weights.

[0113] Score the geographic information system data according to the data quality evaluation function, and determine the data integration strategy steps based on the scoring result, including:

[0114] (F1) Determine whether the scoring result is greater than the preset score;

[0115] (F2) In response to the scoring result being greater than the preset score, generate a data integration strategy for integrating the geographic information system data;

[0116] (F3) In response to the scoring result not being greater than the preset score, generate a data integration strategy to stop integrating the geographic information system data.

[0117] In response to the scoring result of the data quality evaluation function of the geographic information data system data source G k being greater than the set threshold, generate a data integration strategy for integrating the geographic information system data; in response to the scoring result of the data quality evaluation function of the geographic information data system data source G k not being greater than the set threshold, generate a data integration strategy to stop integrating the geographic information system data.

[0118] In some embodiments, analyze the sensor data characteristics of the sensor data source, and determine the acquisition frequency strategy steps of the sensor data, including:

[0119] (G1) Obtain the sensor state characteristics of the sensor data source;

[0120] (G2) Determine whether the sensor state characteristics meet the preset conditions;

[0121] (G3) When the sensor state characteristics meet the preset conditions, generate an acquisition frequency strategy to reduce the current acquisition frequency.

[0122] (G4) When the sensor state characteristics do not meet the preset conditions, generate an acquisition frequency strategy to acquire data at the current acquisition frequency

[0123] In some embodiments, create a sensor state estimation equation as follows:

[0124]

[0125] Where is the state estimation value of the sensor at time t, including physical quantities such as temperature, humidity, altitude, and remaining electrical energy; F t is the state transition matrix, which is used to describe how the system evolves from x t-1 to x t , where x t-1 is the state value at the previous moment; K t is the Kalman gain; z t is the actual measured value of the physical quantity of the sensor; H t is the observation matrix, which maps the state space to the observation space;

[0126] The Kalman gain in the sensor state estimation equation is:

[0127]

[0128] where P (t|t-1) is the prediction error covariance matrix, which reflects the uncertainty of state prediction; Rt is the observation noise covariance matrix, that is, the statistical characteristics of the sensor measurement error; λ is the energy consumption penalty factor, which is a manually set hyperparameter that controls the influence intensity of energy on the gain; E t is the reciprocal of the remaining electrical energy of the sensor.

[0129] When the remaining electrical energy of the sensor meets the preset insufficient condition, the system automatically reduces the confidence in the current observed value, that is, reduces K t , generates a data acquisition frequency strategy to reduce the current acquisition frequency, and reduces the energy consumption caused by high-frequency sampling. When , sensor self-calibration is triggered, where σ is the standard deviation of historical observation data. When the remaining electrical energy of the sensor does not meet the preset insufficient condition, the confidence in the current observed value can be not reduced, that is, K t is not reduced, and a data acquisition frequency strategy for acquiring sensor data at the current acquisition frequency is generated, thereby increasing the amount of data acquisition.

[0130] Step S103: According to the data acquisition strategy, collect the geographical data to be collected.

[0131] In some embodiments, in response to the output result of the acquisition trigger policy model being greater than the preset threshold, according to the acquisition trigger policy for triggering the acquisition of remote sensing image data, high-quality remote sensing image data is quickly acquired to improve the acquisition efficiency. In response to the output result of the acquisition trigger policy model not being greater than the preset threshold, according to the acquisition trigger policy for stopping the acquisition of remote sensing image data, the acquisition of low-quality remote sensing image data is stopped.

[0132] In response to the data source G of the geographic information data system kThe scoring result of the data quality evaluation function is greater than the set threshold. According to the data integration strategy for integrating geographic information system data, the data in the geographic information data system is integrated; in response to the data source G of the geographic information data system k The scoring result of the data quality evaluation function is not greater than the set threshold. According to the data integration strategy for stopping the integration of geographic information system data, the integration of geographic information system data is stopped.

[0133] When the remaining power of the sensor meets the insufficient preset condition, the acquisition frequency strategy for reducing the current acquisition frequency can be used to reduce the energy consumption caused by high-frequency sampling. When the remaining power of the sensor does not meet the insufficient preset condition, the acquisition frequency strategy for acquiring sensor data at the current acquisition frequency is used to acquire sensor data, thereby increasing the amount of data acquired.

[0134] In the above method for collecting geographic data, by first determining the geographic data source to which the geographic data to be collected belongs, then analyzing the geographic data characteristics of the geographic data source to determine the data collection strategy, and finally collecting the geographic data to be collected according to the data collection strategy, the efficiency of geographic data collection is improved.

[0135] It should be understood that although Figures 2 - 3 the steps in the flowchart of Figures 2 - 3 are shown in sequence according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless there is a clear indication in this article, the execution of these steps has no strict order limit, and these steps can be executed in other orders. Moreover,

[0136] In one embodiment, as Figure 4 shown, a device for collecting geographic data is provided, including: a geographic data source determination module 201, a data collection strategy determination module 202, and a collection module 203, where:

[0137] The geographic data source determination module 201 is used to determine the geographic data source to which the geographic data to be collected belongs; the data collection strategy determination module 202 is used to analyze the geographic data characteristics of the geographic data source to determine the data collection strategy; the collection module 203 is used to collect the geographic data to be collected according to the data collection strategy.

[0138] In some embodiments, the geographic data source includes at least one of a remote sensing image data source, a geographic information system data source, and a sensor data source. The data acquisition strategy determination module 202 includes:

[0139] An acquisition trigger strategy determination sub-module, configured to analyze the remote sensing image data characteristics of the remote sensing image data source and determine the acquisition trigger strategy for the remote sensing image data; a data integration strategy determination sub-module, configured to analyze the geographic information system data characteristics of the geographic information system data source and determine the data integration strategy for the geographic information system data; and / or an acquisition frequency strategy determination sub-module, configured to analyze the sensor data characteristics of the sensor data source and determine the acquisition frequency strategy for the sensor data.

[0140] In some embodiments, the acquisition trigger strategy determination sub-module is configured to: obtain at least one of the resolution difference characteristic, cloud occlusion characteristic, and illumination change characteristic of the remote sensing image data source; and determine the acquisition trigger strategy according to at least one of the resolution difference characteristic, cloud occlusion characteristic, and illumination change characteristic.

[0141] In some embodiments, the resolution difference characteristic includes the difference between the current resolution and the target resolution and the maximum allowable difference between the resolution and the target resolution, the cloud occlusion characteristic includes the cloud coverage rate and the cloud sensitivity, and the illumination change characteristic includes the illumination intensity and the maximum tolerable illumination intensity of the sensor. The acquisition trigger strategy determination sub-module is further configured to:

[0142] Obtain the difference between the current resolution and the target resolution, the maximum allowable difference between the resolution and the target resolution, the cloud coverage rate, the cloud sensitivity, the illumination intensity, and the maximum tolerable illumination intensity of the sensor, establish an acquisition trigger strategy model; obtain the output result of the acquisition trigger strategy model, and determine the acquisition trigger strategy based on the output result.

[0143] In some embodiments, the acquisition trigger strategy determination sub-module is further configured to: determine whether the output result of the acquisition trigger strategy model is greater than a preset threshold; in response to the output result of the acquisition trigger strategy model being greater than the preset threshold, generate an acquisition trigger strategy for triggering the acquisition of remote sensing image data; in response to the output result of the acquisition trigger strategy model not being greater than the preset threshold, generate an acquisition trigger strategy for stopping the acquisition of remote sensing image data.

[0144] In some embodiments, the data integration strategy determination sub-module is configured to: obtain at least one of the data format consistency, spatial accuracy, and complexity of the geographic information system data source; and determine the data integration strategy according to at least one of the data format consistency, spatial accuracy, and complexity of the data source.

[0145] In some embodiments, the data integration strategy determination sub-module is further configured to: create a data quality evaluation function for the geographic information system data based on the data format consistency, spatial accuracy, and complexity of the geographic information system data source; score the geographic information system data according to the data quality evaluation function, and determine a data integration strategy based on the scoring result.

[0146] In some embodiments, the data integration strategy determination sub-module is further configured to: determine whether the scoring result is greater than a preset score; in response to the scoring result being greater than the preset score, generate a data integration strategy for integrating the geographic information system data; in response to the scoring result not being greater than the preset score, generate a data integration strategy for stopping the integration of the geographic information system data.

[0147] In some embodiments, the acquisition frequency strategy determination sub-module is configured to: obtain the sensor state characteristics of the sensor data source; determine whether the sensor state characteristics meet a preset condition; in response to the sensor state characteristics meeting the preset condition, generate an acquisition frequency strategy for reducing the current acquisition frequency; in response to the sensor state characteristics not meeting the preset condition, generate an acquisition frequency strategy for acquiring data at the current acquisition frequency.

[0148] For the specific limitations on the acquisition device of geographic data, reference can be made to the limitations on the acquisition method of geographic data in the foregoing text, which will not be elaborated here. Each module in the above acquisition device of geographic data can be implemented in whole or in part by software, hardware, and their combination. The above-mentioned modules can be embedded in the processor of the computer device in hardware form or independent of it, or stored in the memory of the computer device in software form, so that the processor can call and execute the operations corresponding to the above-mentioned modules.

[0149] In one embodiment, a computer device is provided. The computer device can be a server, and its internal structure diagram can be as Figure 5 shown. The computer device includes a processor, a memory, a network interface, and a database connected through a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store xxx data. The network interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, it implements a method for acquiring geographic data.

[0150] Those skilled in the art can understand, Figure 5The structure shown is only a block diagram of some of the structures related to the solution of this application, and does not constitute a limitation on the computer device to which the solution of this application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different component layout.

[0151] In one embodiment, a computer device is provided, including a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the computer program, the following steps are implemented:

[0152] Determine the geographical data source to which the geographical data to be collected belongs; analyze the geographical data characteristics of the geographical data source to determine the data collection strategy; collect the geographical data to be collected according to the data collection strategy.

[0153] Those of ordinary skill in the art can understand that all or part of the processes of implementing the methods in the above embodiments can be completed by instructing related hardware through a computer program. The computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above methods. Among them, any reference to the memory, storage, database or other media used in the various embodiments provided in this application can include non-volatile and / or volatile memories. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in various forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDR SDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.

[0154] The technical features of the above embodiments can be combined arbitrarily. For the sake of concise description, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, it should be considered as the scope recorded in this specification.

[0155] The above-described embodiments merely represent several implementation manners of the present application. The description is relatively specific and detailed, but it should not be construed as a limitation on the scope of the invention patent. It should be noted that for those of ordinary skill in the art, without departing from the concept of the present application, several modifications and improvements can still be made, and these all fall within the protection scope of the present application. Therefore, the protection scope of the patent of the present application shall be subject to the appended claims.

Claims

1. A method for collecting geographical data, characterized in that, Including: Determine the geographical data source to which the geographical data to be collected belongs; Analyze the geographical data characteristics of the geographical data source to determine a data collection strategy; Collect the geographical data to be collected according to the data collection strategy.

2. The method for collecting geographical data according to claim 1, wherein The geographical data source includes at least one of a remote sensing image data source, a geographical information system data source, and a sensor data source. The step of analyzing the geographical data characteristics of the geographical data source to determine a data collection strategy includes: Analyze the remote sensing image data characteristics of the remote sensing image data source to determine a collection trigger strategy for the remote sensing image data; Analyze the geographical information system data characteristics of the geographical information system data source to determine a data integration strategy for the geographical information system data; and / or Analyze the sensor data characteristics of the sensor data source to determine a collection frequency strategy for the sensor data.

3. The method for collecting geographical data according to claim 2, wherein The step of analyzing the remote sensing image data characteristics of the remote sensing image data source to determine a collection trigger strategy for the remote sensing image data includes: Obtain at least one of the resolution difference characteristics, cloud occlusion characteristics, and illumination change characteristics of the remote sensing image data source; Determine the collection trigger strategy according to at least one of the resolution difference characteristics, the cloud occlusion characteristics, and the illumination change characteristics.

4. The method for collecting geographical data according to claim 3, wherein The resolution difference characteristics include the difference between the current resolution and the target resolution and the maximum allowable difference between the resolution and the target resolution. The cloud occlusion characteristics include the cloud coverage rate and the cloud sensitivity. The illumination change characteristics include the illumination intensity and the maximum tolerable illumination intensity of the sensor; The step of determining the collection trigger strategy according to at least one of the resolution difference characteristics, the cloud occlusion characteristics, and the illumination change characteristics includes: Obtain the difference between the current resolution and the target resolution, the maximum allowable difference between the resolution and the target resolution, the cloud coverage rate, the cloud sensitivity, the illumination intensity, and the maximum tolerable illumination intensity of the sensor, and establish a collection trigger strategy model; Obtain the output result of the collection trigger strategy model and determine the collection trigger strategy based on the output result.

5. The method for collecting geographical data according to claim 2, wherein The step of analyzing the geographical information system data characteristics of the geographical information system data source to determine a data integration strategy for the geographical information system data includes: Obtain at least one of the data format consistency, spatial accuracy, and complexity of the geographical information system data source; Determine the data integration strategy according to at least one of the data format consistency, the spatial accuracy, and the complexity of the data source.

6. The method for collecting geographical data according to claim 5, characterized in that, The step of determining the data integration strategy according to at least one of the data format consistency, the spatial accuracy, and the complexity of the data source includes: Create a data quality evaluation function for the geographical information system data based on the data format consistency, the spatial accuracy, and the complexity of the geographical information system data source; Score the geographical information system data according to the data quality evaluation function and determine the data integration strategy based on the scoring result.

7. The method for collecting geographic data according to claim 2, wherein The step of analyzing the sensor data characteristics of the sensor data source to determine the acquisition frequency strategy of the sensor data includes: Obtain the sensor status characteristics of the sensor data source; Determine whether the sensor status characteristics meet the preset conditions; In response to the sensor status characteristics meeting the preset conditions, generate an acquisition frequency strategy for reducing the current acquisition frequency; In response to the sensor status characteristics not meeting the preset conditions, generate an acquisition frequency strategy for acquiring data at the current acquisition frequency.

8. A device for collecting geographical data, characterized in that, The device includes: A geographic data source determination module, configured to determine the geographic data source to which the geographic data to be acquired belongs; A data acquisition strategy determination module, configured to analyze the geographic data characteristics of the geographic data source to determine a data acquisition strategy; An acquisition module, configured to acquire the geographic data to be acquired according to the data acquisition strategy.

9. A computer device, comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, characterized in that, When the processor executes the computer program, the steps of the method according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, the steps of the method according to any one of claims 1 to 7 are implemented.

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