CN116401268A

CN116401268A - Data retrieval method and device

Info

Publication number: CN116401268A
Application number: CN202310350395.7A
Authority: CN
Inventors: 陈强; 张梦婷; 郭婷婷
Original assignee: Alibaba China Co Ltd
Current assignee: Alibaba China Co Ltd
Priority date: 2023-03-29
Filing date: 2023-03-29
Publication date: 2023-07-07

Abstract

The embodiment of the specification provides a data retrieval method and a device, wherein the data retrieval method comprises the following steps: responding to the space retrieval instruction, and determining a corresponding target area in the map to be retrieved according to the area information carried by the space retrieval instruction; displaying at least two search dimension controls corresponding to the target area, wherein the search dimension controls are used for searching dimension data of corresponding search dimensions; receiving a search instruction of a target search dimension, and superposing dimension data of the target search dimension on dimension data currently displayed in a target area, wherein the search instruction is triggered based on any one or more search dimension controls corresponding to the target search dimension, and the dimension data of different search dimensions represent environmental characteristics of the target area under different dimensions. Therefore, the fusion retrieval and superposition analysis processing of the multidimensional data are realized, and more accurate processing results can be obtained.

Description

Data retrieval method and device

Technical Field

The embodiment of the specification relates to the technical field of data processing, in particular to a data retrieval method and device.

Background

The integrated sky-ground monitoring is a three-dimensional ecological monitoring sensing system which is obtained by comprehensively utilizing methods such as satellite remote sensing monitoring, aviation remote sensing monitoring, ground station monitoring and the like and based on key technologies such as data mining, data fusion, data collaboration, data assimilation and the like. The integrated ecological monitoring system of the sky and the ground can reflect the current situation and the development trend of the ecological system more comprehensively, and provide scientific basis for ecological environment protection, natural resource management, land utilization planning and the like.

However, due to multidimensional data such as satellite remote sensing, aerial remote sensing, ground stations and the like, the data formats, attributes, access modes and the like of the multidimensional data may be different, data acquired by different equipment may need to be processed by different systems, and the accuracy of a processing result of a single system is low. Therefore, a system capable of uniformly processing multi-source data is needed.

Disclosure of Invention

In view of this, the present embodiments provide a data retrieval method. One or more embodiments of the present specification also relate to a data retrieval apparatus, a computing device, a computer-readable storage medium, and a computer program that solve the technical drawbacks of the prior art.

According to a first aspect of embodiments of the present specification, there is provided a data retrieval method, including:

responding to a space retrieval instruction, and determining a corresponding target area in a map to be retrieved according to area information carried by the space retrieval instruction;

displaying at least two search dimension controls corresponding to the target area, wherein the search dimension controls are used for searching dimension data of corresponding search dimensions;

receiving a search instruction of a target search dimension, and superposing dimension data of the target search dimension on dimension data currently displayed in the target area, wherein the search instruction is triggered based on any one or more search dimension controls corresponding to the target search dimension, and the dimension data of different search dimensions represent environmental characteristics of the target area in different dimensions.

According to a second aspect of embodiments of the present specification, there is provided a data retrieval method, comprising:

displaying remote sensing data retrieval control, video data retrieval control and meteorological data retrieval control corresponding to the target area;

and receiving a search instruction of a target search dimension, and superposing dimension data of the target search dimension on the dimension data currently displayed in the target area, wherein the search instruction is based on any one or more triggers corresponding to the target search dimension in the remote sensing data search control, the video data search control and the meteorological data search control.

According to a third aspect of embodiments of the present specification, there is provided a data retrieval apparatus comprising:

the first region determining module is configured to respond to a space searching instruction and determine a corresponding target region in a map to be searched according to region information carried by the space searching instruction;

the first control display module is configured to display at least two search dimension controls corresponding to the target area, wherein the search dimension controls are used for searching dimension data of corresponding search dimensions;

The first superposition display module is configured to receive a search instruction of a target search dimension, superimpose and display the dimension data of the target search dimension on the dimension data currently displayed in the target area, wherein the search instruction is triggered based on any one or more search dimension controls corresponding to the target search dimension, and the dimension data of different search dimensions represent environmental characteristics of the target area under different dimensions.

According to a fourth aspect of embodiments of the present specification, there is provided a data retrieval apparatus comprising:

the second region determining module is configured to respond to the space searching instruction and determine a corresponding target region in the map to be searched according to the region information carried by the space searching instruction;

the second control display module is configured to display remote sensing data retrieval controls, video data retrieval controls and meteorological data retrieval controls corresponding to the target area;

and the second superposition display module is configured to receive a search instruction of a target search dimension, and superimpose and display the dimension data of the target search dimension on the dimension data currently displayed in the target area, wherein the search instruction is based on any one or more triggers corresponding to the target search dimension in the remote sensing data search control, the video data search control and the meteorological data search control.

According to a fifth aspect of embodiments of the present specification, there is provided a computing device comprising:

a memory and a processor;

the memory is configured to store computer executable instructions that, when executed by the processor, implement the steps of the data retrieval method of the first or second aspect described above.

According to a sixth aspect of embodiments of the present specification, there is provided a computer readable storage medium storing computer executable instructions which when executed by a processor implement the steps of the data retrieval method of the first or second aspect described above.

According to a seventh aspect of embodiments of the present specification, there is provided a computer program, wherein the computer program, when executed in a computer, causes the computer to perform the steps of the data retrieval method of the first or second aspect described above.

According to the data retrieval method provided by the embodiment of the specification, a space retrieval instruction is responded, and a corresponding target area is determined in a map to be retrieved according to area information carried by the space retrieval instruction; displaying at least two search dimension controls corresponding to the target area, wherein the search dimension controls are used for searching dimension data of corresponding search dimensions; receiving a search instruction of a target search dimension, and superposing dimension data of the target search dimension on dimension data currently displayed in a target area, wherein the search instruction is triggered based on any one or more search dimension controls corresponding to the target search dimension, and the dimension data of different search dimensions represent environmental characteristics of the target area under different dimensions. Therefore, the fusion retrieval of the multidimensional data is realized, the dimensional data with different retrieval dimensions can be subjected to superposition display, and analysis processing is performed based on the dimension data subjected to superposition display, so that a more accurate result can be obtained.

Drawings

FIG. 1 illustrates a block diagram of a data fusion search analysis system provided in accordance with one embodiment of the present disclosure;

FIG. 2 illustrates a flow chart of a method of data retrieval provided in accordance with one embodiment of the present description;

FIG. 3 illustrates a schematic diagram of a data retrieval page provided in accordance with one embodiment of the present description;

FIG. 4 illustrates a schematic diagram of a remote sensing data store provided in accordance with one embodiment of the present description;

FIG. 5 illustrates a schematic diagram of a video data store provided in accordance with one embodiment of the present description;

FIG. 6 illustrates a schematic diagram of a weather data store provided in accordance with one embodiment of the present disclosure;

FIG. 7 shows a schematic diagram of a video data presentation page provided in accordance with one embodiment of the present disclosure;

FIG. 8 illustrates a schematic diagram of a target plot change analysis provided in accordance with one embodiment of the present disclosure;

FIG. 9 is a schematic diagram of an alert information presentation page provided according to one embodiment of the present disclosure;

FIG. 10 illustrates a schematic diagram of a task management page provided in accordance with one embodiment of the present specification;

FIG. 11 illustrates a schematic diagram of weather raster data provided in accordance with one embodiment of the present disclosure;

FIG. 12 illustrates a flow chart of another data retrieval method provided in accordance with one embodiment of the present disclosure;

FIG. 13 is a diagram showing a presentation page of weather data according to one embodiment of the present disclosure;

fig. 14 is a schematic structural view of a data retrieval device according to an embodiment of the present disclosure;

FIG. 15 is a schematic diagram showing the structure of another data retrieval device according to an embodiment of the present disclosure;

FIG. 16 illustrates a block diagram of a computing device provided in accordance with one embodiment of the present description.

Detailed Description

In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present description. This description may be embodied in many other forms than described herein and similarly generalized by those skilled in the art to whom this disclosure pertains without departing from the spirit of the disclosure and, therefore, this disclosure is not limited by the specific implementations disclosed below.

The terminology used in the one or more embodiments of the specification is for the purpose of describing particular embodiments only and is not intended to be limiting of the one or more embodiments of the specification. As used in this specification, one or more embodiments and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It should also be understood that the term "and/or" as used in one or more embodiments of the present specification refers to and encompasses any or all possible combinations of one or more of the associated listed items.

It should be understood that, although the terms first, second, etc. may be used in one or more embodiments of this specification to describe various information, these information should not be limited by these terms. These terms are only used to distinguish one type of information from another. For example, a first may also be referred to as a second, and similarly, a second may also be referred to as a first, without departing from the scope of one or more embodiments of the present description. The word "if" as used herein may be interpreted as "at … …" or "at … …" or "responsive to a determination", depending on the context.

First, terms related to one or more embodiments of the present specification will be explained.

Spatiotemporal data: spatio-temporal data is data having both temporal and spatial dimensions, with more than 80% of the data in the real world being related to geographic location. The space-time big data comprises three-dimensional information of time, space and thematic attributes, and has the comprehensive characteristics of multisource, massive and rapid updating.

Remote sensing image: image data of the observation earth captured by a satellite.

Raster data: raster data is a data form of dividing space into regular grids, each grid is called a unit, and corresponding attribute values are given to each unit to represent an entity, and remote sensing common grid formats include tiff, img and the like.

Vector data: the vector data is data representing the position and shape of a map graphic or a geographical entity in rectangular coordinates by x and y coordinates. The vector data generally represents the spatial position of the geographic entity as accurately as possible by a mode of recording coordinates, the definition of the vector data does not change along with the enlargement and the reduction of a drawing surface, and the representation form of the vector data in remote sensing data annotation is a drawing spot with attribute information.

Video stream data: the video information collected by camera equipment arranged on streets, river channels and the like is important in the scenes of smart cities, automatic driving and the like in data analysis.

IOT data: the internet of things (internet of things) has a wide application range, particularly in a smart agriculture range, and can basically run through the whole process of seeding, growing and harvesting in agricultural production, particularly in an environment monitoring range in the crop growing process.

Weather site data: the meteorological data collected by the meteorological station can comprise various data such as air temperature, air pressure, relative humidity, precipitation, evaporation, wind direction, wind speed, sunlight and the like.

Next, an application scenario of the data retrieval method provided in one or more embodiments of the present specification will be described.

The integrated multi-source data retrieval and monitoring system for the sky and ground is a three-dimensional monitoring sensing system which comprehensively utilizes satellite remote sensing data, aerial remote sensing data, ground video, IOT equipment, meteorological sites and other data and obtains more accurate data support based on key technologies such as data mining, data fusion, data collaboration and data assimilation. The sky-ground integrated analysis system can reflect the current situation and the development trend of the monitoring area from a plurality of dimensions in a multi-dimensional angle, and provides scientific basis for ecological environment protection, natural resource management, land utilization planning and the like. The method can realize high-precision and short-period collaborative monitoring of key areas and key targets, can comprehensively and all-weather daemon natural boundaries, forcefully push industrial scenes such as natural resources, ecological environment, water conservancy agriculture and the like to develop from point to point, from static to dynamic and from plane to three-dimensional, and improves the level of refinement, informatization and intelligence of overall management.

A sky-ground integrated natural ecological protection solution: the intelligent monitoring and sensing system takes video Internet of things and artificial intelligence as cores, integrates advanced monitoring modes such as satellite remote sensing intelligent analysis, unmanned aerial vehicle, intelligent camera and the like, monitors and records information of inhabitation activities of wild protection animals, timely discovers abnormal alarm events such as crossing intrusion of a human vehicle, illegal digging, forest grassland fire and the like, and directly broadcasts and displays ecological protection achievements such as animal migration, ecological wind and light and the like. The scheme mainly comprises a monitoring center system, a large-screen display system, a forest and grass fire prevention monitoring and positioning system, passenger flow monitoring and statistics management, vehicle monitoring and statistics management, wild animal monitoring, forbidden zone intrusion monitoring, environment monitoring, a video live broadcast subsystem, a patrol subsystem, an emergency command and dispatch subsystem, a transmission subsystem and the like. However, the system is biased to various hardware equipment management, the data among the modules and the management system are mutually separated, and the functions of integrating data collection and searching and viewing are not realized.

Another sky ground integrated air pollution intelligent control platform: the platform fuses air quality monitoring data, pollution source monitoring data, satellite remote sensing data, meteorological monitoring data and terrain data, utilizes an advanced model algorithm to accurately early warn, accurately trace source and cause analysis on large and small-scale atmospheric pollution problems, provides targeted treatment measures for users, establishes a scheduling mechanism with perfect flow, evaluates treatment effects, and aims at providing technical service support for 'accurate pollution control, scientific pollution control, legal pollution control and system pollution control' of environmental management. However, the platform is biased to design a typical project scene customizing function, and the platform is lack of a data fusion and retrieval function although multi-source data are collected, so that various data dynamics cannot be globally perceived.

Therefore, the sky-ground integrated data retrieval, management and task scheduling system is innovatively designed aiming at massive space-time data such as satellites, unmanned aerial vehicles, cameras, IOT equipment, meteorological sites and the like based on the sky-ground integrated space-time data engine, and can be widely applied to the fields of natural resources, water conservancy and water conservation, intelligent agriculture and the like. For example, the method can be applied to farmland growth vigor and land utilization remote sensing analysis in an agricultural scene, and combines the requirements of video monitoring of farm animals and plants and the like. The method can be applied to periodic remote sensing detection of water area shoreline change under water conservancy scenes, and combines the work of intelligent river and lake dynamic video supervision and the like.

In the present specification, a data retrieval method is provided, and the present specification relates to a data retrieval apparatus, a computing device, and a computer-readable storage medium, which are described in detail in the following embodiments one by one.

Referring to fig. 1, fig. 1 shows a frame diagram of a data fusion search analysis system according to an embodiment of the present disclosure.

As shown in fig. 1, the data fusion search analysis system is used for fusion search analysis of sky-ground multi-scale space-time data, and the sky-ground multi-source heterogeneous data engine used by the data fusion search analysis system comprises a data access engine, a data storage engine, a data calculation engine and a data update engine. The data fusion retrieval analysis system comprises a data management module, a data retrieval module, a multidimensional data visual superposition analysis module and a task management module. The data management module is used for managing remote sensing data (remote sensing images), video data, meteorological data (meteorological site data), meteorological grid data and various IOT (internet of things) data. The data retrieval module can support retrieval modes such as POI (point of interest) data retrieval, region retrieval, circled area retrieval and the like. The multi-dimensional data visual superposition analysis module can realize visual superposition analysis of multi-dimensional data, can be used for remote sensing image data viewing, video data viewing, meteorological site data viewing and meteorological grid data viewing, and can perform RGB channel wave band switching, multi-scale data scaling, multi-period data rolling curtain analysis and other processes on the remote sensing image data; aiming at video data, the method can play in a fixed window, check alarm time, handle alarm events and the like; aiming at meteorological site data, site longitude and latitude information, site wind direction information, site temperature and humidity information and the like can be obtained through analysis; for the weather raster data, analysis processing such as air temperature prediction, precipitation prediction, humidity prediction, and the like can be performed based on the weather raster data. And, the presentation of all data in the system is based on the map to be retrieved (three-dimensional/two-dimensional geospatial data). The task management module can uniformly manage tasks corresponding to each search dimension, such as remote sensing AI interpretation tasks, video AI alarm tasks and the like.

Aiming at massive space-time data such as satellites, unmanned aerial vehicles, cameras, IOT equipment, meteorological sites and the like, the sky-ground integrated data retrieval, management and task scheduling system, namely the data fusion retrieval analysis system, is innovatively designed. The multi-scale POI retrieval, space retrieval and attribute information retrieval of multi-source earth observation data such as remote sensing, video and the like are supported, the retrieval result can be analyzed and displayed in a fusion mode on line, and the multi-scale POI retrieval method is applied to combination scenes of regular remote sensing detection of water area shoreline changes and intelligent river and lake dynamic video supervision. The system supports access to authoritative meteorological data such as air temperature, precipitation and humidity and IOT site data, provides dynamic prediction, and can meet scene requirements such as agricultural production assistance.

Referring to fig. 2, fig. 2 shows a flowchart of a data retrieval method according to an embodiment of the present disclosure, which may specifically include the following steps.

Step 202: and responding to the space retrieval instruction, and determining a corresponding target area in the map to be retrieved according to the area information carried by the space retrieval instruction.

The data retrieval method provided by the embodiment of the present disclosure may be applied to the data fusion retrieval analysis system shown in fig. 1, and this step may be performed by the data retrieval module in the system.

As an example, the target area may be a region of interest, a key monitoring area, or any area in the map to be retrieved. The map to be searched can be a two-dimensional or three-dimensional map, is generated according to two-dimensional or three-dimensional space geographic information, supports three-dimensional view and plane view switching, is accessed into a user-defined remote sensing image map and vector map data service, and can be overlapped, analyzed and checked with the dimensional data obtained through searching.

In a specific implementation, a search area determination control can be displayed on a search page, and the search area determination control can be a filling control or a selection control. If the search area determining control is a filling control, the user can fill the area information of the target area in the input box corresponding to the search area determining control, the system can generate a space search instruction according to the area information input by the user, and the search mode can be called as POI point location name address fuzzy search; if the search area determining control is a selection control, the user can select the target area by triggering the selection control, and the system can generate a space search instruction according to the selection of the user, and the search mode can be called zone search. Or the map to be searched can be displayed on the search page, the user can automatically circle a target area in the map to be searched, and the system generates a space search instruction according to the circle operation of the user, and the search mode can be called autonomous circle search. Since the spatial retrieval instruction includes area information, which may be position information of the target area, such as longitude and latitude, coordinates, and the like, a corresponding target area may be determined in the map to be retrieved based on the position information.

In addition, the search page can also display selection controls of other search conditions so as to carry out finer screening on the data based on the other search conditions. By way of example, referring to fig. 3, fig. 3 shows a schematic diagram of a data search page provided according to an embodiment of the present disclosure, where the data search page includes a search area determination control, the search area determination control is a fill-in control, the fill-in control is used for a user to input an area keyword (e.g., please input an area keyword in the page is the fill-in control), and the data search page further includes a shooting date selection control and a resolution selection control. Alternatively, in the data retrieval page, the user may use a circled manner to circle the target area in the map to be retrieved.

The data retrieval method provided by the embodiment of the specification supports various space retrieval modes such as fuzzy retrieval of the point location name and address of the POI, division, autonomous circling and the like, and improves the diversity of data retrieval. In addition, the data attribute information such as acquisition time, influence resolution and the like can be combined to serve as a supplementary search condition for data search, so that on-demand search is realized, and the accuracy of search is improved.

Step 204: and displaying at least two retrieval dimension controls corresponding to the target area, wherein the retrieval dimension controls are used for retrieving dimension data of the corresponding retrieval dimension.

Wherein the dimensional data of different search dimensions characterize the environmental characteristics of the target area from different angles, and the dimensional data of different search dimensions may be data of different structures.

In the present embodiment, this step may include two implementations.

The first implementation mode: after the target area is determined, the user does not need to execute any operation, at least two retrieval dimension controls corresponding to the target area are displayed, and the automation degree is higher.

The second implementation mode: after the target area is determined, the user clicks the displayed search control, and the system responds to the operation of the user to display at least two search dimension controls corresponding to the target area.

And, whichever implementation, the at least two search dimension controls may be independent of, or may be related to, the target region.

In one possible scenario, the at least two search dimension controls presented are identical for any target region, and are not used as filtering for the system, and are simple to operate.

In another possible case, for some reasons, dimensional data of some areas in a certain search dimension on the map to be searched may not be collected or not collected, so that there may be a situation that the dimensional data of some areas in the certain search dimension is missing, based on this, if the search dimension corresponding to the displayed search dimension control does not have the dimensional data, the displayed search dimension control is meaningless, not only occupies page space, but also misleads the user to perform meaningless operation and wastes time. Thus, the at least two search dimension controls to which they correspond may be determined from the target area, i.e. the at least two search dimension controls presented may be different for different target areas.

In a specific implementation, the system may store dimension data of each region in the map to be searched in each search dimension, so, for a target region, the system may determine, according to region information of the target region, dimension data including which search dimensions correspond to the target region, determine the search dimensions as search dimensions corresponding to the target region, select at least two search dimensions from the search dimensions, and display a search dimension control of the at least two search dimensions.

For example, remote sensing data and meteorological data of the area a are stored in the system, but because the area a cannot be provided with video acquisition equipment, the system does not record the video data of the area a, the search dimension corresponding to the remote sensing data and the search dimension corresponding to the meteorological data can be determined as the search dimension corresponding to the area a, and the remote sensing data search control and the meteorological data search control are displayed.

In one or more embodiments of the present disclosure, in response to a spatial retrieval instruction, before determining a corresponding target area in a map to be retrieved according to area information carried by the spatial retrieval instruction, the method further includes: configuring data transmission rules corresponding to each search dimension, wherein the data transmission rules corresponding to each search dimension at least comprise transmission contents, transmission protocols and transmission interfaces corresponding to the search dimension; based on a data transmission rule, receiving dimension data of a map to be searched in at least two search dimensions; dimension data of at least two search dimensions is stored.

In a specific implementation, dimension data of different retrieval dimensions are acquired by different types of data acquisition equipment, and data transmission rules between different types of equipment and a system are different, so that a transmission interface is required to be arranged in the system, communication connection between the data acquisition equipment corresponding to each dimension and the system is established through the transmission interface, a transmission protocol between the system and the data acquisition equipment corresponding to each dimension can be also arranged, data transmission is performed based on the transmission protocol, and dimension data required to be used for different retrieval dimensions are possibly different, so that transmission contents corresponding to each retrieval dimension are required to be arranged, the data acquisition equipment can determine which data to upload to the system, the system can also determine which data are required by the data acquisition equipment, and thus the system can access and store dimension data of each retrieval dimension according to the data transmission rules, and unified management of the dimension data of each retrieval dimension is realized.

In some embodiments, the search dimensions include at least a remote sensing data search dimension, a video data search dimension, and a meteorological data search dimension. The remote sensing data search dimension corresponds to remote sensing data, the remote sensing data can also be called remote sensing image or remote sensing image data, the video data search dimension corresponds to video data, the meteorological data search dimension corresponds to meteorological data, and the meteorological data can also be called meteorological site data.

As an example, the remote sensing data is data collected by a remote sensing data collection device such as a satellite or an aviation device, and the remote sensing data may include an image identifier, an area (province/city/county), an image resolution, an image collection time (i.e., a shooting date), an image uploading time (i.e., an uploading date), a device identifier, and the like. The image identifier may be an image name, and the device identifier may be a device name of the remote sensing data acquisition device. For example, referring to fig. 4, fig. 4 illustrates a schematic diagram of a remote sensing data store provided in accordance with one embodiment of the present description.

As an example, the video data is data collected by a video collecting device (e.g., a camera), and the video data may include a device identification (e.g., a device name) of the video collecting device, a device area (province/city/county), a video collecting device access date (i.e., a creation date), a device group, a device status, an access type, etc., and may further include a video frame rate, a video resolution, a video collecting time, a video uploading time, etc., which are not shown in the figure, and the presentation may be triggered by clicking on the "more filtering condition". The access type may be a video stream format of the uploaded video, for example, the video stream format may be rtsp format or rtmp format. For example, referring to fig. 5, fig. 5 shows a schematic diagram of a video data store provided in accordance with one embodiment of the present description.

As one example, weather data is data collected by a weather station, which can be categorized according to purpose, installation, and accuracy: portable weather stations, high-precision weather stations, highway weather stations, forest fire weather stations, campus weather stations, electric power weather stations, photovoltaic weather stations, scenic zone weather stations, social zone weather stations and the like. The weather site data may include a district station number, an identification of the weather site (e.g., site name), longitude and latitude, altitude, an area to which the weather site belongs (province/city/county), a weather data update date, a weather site creation date, and the like. The zone station numbers are numbers of meteorological stations, can be randomly allocated, and can be set according to zones. For example, referring to FIG. 6, FIG. 6 illustrates a schematic diagram of a weather data store provided in accordance with one embodiment of the present description.

In some embodiments, the dimension data for each search dimension may be stored according to a storage rule after the dimension data is received. Illustratively, the storage rules may include retrieving that dimension data of the same dimension are stored together, that dimension data of the same location are stored together, that dimension data of the same acquisition time are stored together, that dimension data of the same upload time are stored together, and so forth, which is not limited by the embodiments of the present disclosure.

In the embodiment of the specification, different data transmission rules are set for different retrieval dimensions, and the system accesses and stores dimension data of different retrieval dimensions according to the data transmission rules, so that unified management of multidimensional data is realized. In addition, after the target area is determined, at least two retrieval dimension controls of the target area are displayed so as to realize retrieval of dimension data based on each retrieval dimension control, and a foundation is laid for subsequent data retrieval.

Step 206: receiving a search instruction of a target search dimension, and superposing dimension data of the target search dimension on dimension data currently displayed in a target area, wherein the search instruction is triggered based on a corresponding search dimension control of the target search dimension, and the dimension data of different search dimensions represent environmental characteristics of the target area under different dimensions.

In a specific implementation, a user can select a target search dimension control from the at least two search dimension controls, and click the target search dimension control to trigger a search instruction of a target search dimension, wherein the target search dimension control is any one or more of the at least two search dimension controls. The user clicks the target retrieval dimension control to trigger a retrieval instruction of a corresponding target retrieval dimension, and at this time, the user is stated to want to view dimension data of a target area in the target retrieval dimension, so that dimension data of the target retrieval dimension can be obtained, and in order to fuse and display dimension data of different retrieval dimensions, environmental features of the target area can be displayed more intuitively, the dimension data of the target retrieval dimension can be displayed on the dimension data displayed at present in a superposition mode.

In a first possible implementation manner of the present disclosure, if any search dimension control is not triggered before the current time, that is, any search instruction is not received before the current time, a search instruction of a target search dimension is received, and dimension data of the target search dimension is not displayed, the currently displayed dimension data may be a map to be searched.

In a second possible implementation manner of the present disclosure, if any search dimension control is not triggered before the current time, that is, any search instruction is not received before the current time, the map to be searched may be displayed by default, and dimension data of the target area in the basic search dimension is displayed at the target area on the map to be searched, so, in the case that the search instruction of the target search dimension is received, and the dimension data of the target search dimension is not displayed, the currently displayed dimension data may include the dimension data of the map to be searched and the target area in the basic search dimension.

In a third possible implementation manner of the present disclosure, if a search dimension control is triggered before the current time, that is, a search instruction of a certain search dimension is received before the current time, dimension data of a certain search dimension is displayed on a map to be searched in an overlapping manner, so that when a search instruction of a target search dimension is received and the dimension data of the target search dimension is not displayed, the dimension data currently displayed may include dimension data of the map to be searched and the target region in the certain search dimension.

In a fourth possible implementation manner of the present disclosure, if a search dimension control is triggered before the current time, that is, a search instruction of a search dimension is received before the current time, and the search dimension is not a basic search dimension, and dimension data of the search dimension is displayed on the map to be searched in an overlapping manner, so that when a search instruction of a target search dimension is received and the dimension data of the target search dimension is not displayed, the dimension data currently displayed may include the map to be searched, the dimension data of the target region in the basic search dimension, and the dimension data of the target region in the search dimension.

It follows that determining the currently presented dimension data may include four possibilities by determining whether search instructions for other search dimensions were triggered before search instructions for the target search dimension were received, and whether the other search dimensions were the base search dimension.

In some embodiments of the present disclosure, when a search instruction of a target search dimension is received, dimension data of the target region in the target search dimension may be obtained from dimension data of each search dimension stored in the system according to region information of the target region, and the dimension data of the target search dimension is displayed in a superimposed manner on the currently displayed dimension data.

In other embodiments of the present disclosure, in order to ensure that when any dimension data is displayed, the dimension data of the basic search dimension is based on the dimension data of the basic search dimension, before the display is superimposed, it may be determined whether the search dimension corresponding to the currently displayed dimension data includes the dimension data of the basic search dimension, and according to the determination result, it is determined whether the dimension data of the basic search dimension needs to be superimposed and displayed when the dimension data of the target search dimension is superimposed and displayed on the currently displayed dimension data.

That is, receiving a search instruction of a target search dimension, and superimposing the dimension data of the target search dimension on the dimension data currently displayed in the target area may include: receiving a search instruction of a target search dimension, and determining whether the search dimension corresponding to the dimension data displayed at present comprises a basic search dimension, wherein the basic search dimension is a default search dimension configured in advance or a search dimension with a higher priority than the target search dimension; if not, superposing and displaying the dimension data of the basic search dimension and the dimension data of the target search dimension on the dimension data currently displayed in the target area.

In the specific implementation, if a search instruction of a target search dimension is received, judging whether the search dimension corresponding to the currently displayed dimension data comprises a basic search dimension according to the display condition of the dimension data, if so, acquiring the dimension data of the target region in the target search dimension from the dimension data of each search dimension stored in the system, and superposing and displaying the dimension data of the target region in the target search dimension and the currently displayed dimension data, so that the finally displayed dimension data can be ensured to be based on the dimension data of the basic search dimension; if not, acquiring dimension data of the target area in the target retrieval dimension and dimension data of the target area in the basic retrieval dimension from dimension data of each retrieval dimension stored in the system, and superposing and displaying the dimension data of the target retrieval dimension and the dimension data of the basic retrieval dimension on the dimension data currently displayed in the target area, so that the finally displayed dimension data can be ensured to be based on the dimension data of the basic retrieval dimension.

As an example, the default search dimension may be a remote sensing data search dimension, i.e. where dimensional data of other search dimensions are presented, it is desired to base the remote sensing data.

As an example, priorities may be set for each search dimension, and the dimension data of the search dimension with a lower priority is displayed on the basis of the dimension data of the search dimension with a higher priority.

In the embodiment of the specification, if a search instruction of a target search dimension is received, whether the search dimension corresponding to the currently displayed dimension data comprises a basic search dimension is determined to determine which search dimension data of the target area is acquired and which search dimension data is displayed in a superposition manner, so that the finally displayed dimension data can be ensured to be displayed in a superposition manner based on the basic search dimension data, the visual superposition display of the data is realized, and the analysis and the processing are facilitated.

In one or more embodiments of the present disclosure, due to different data types, device types of data acquisition devices, data acquisition time, and the like, attribute parameters of dimension data of the same search dimension are also different, and in a data search process, in order to implement accurate search, the searched dimension data may be screened according to the attribute parameters, so that a target search dimension may be divided into multiple sub-dimensions, and dimension data of a superimposed display sub-dimension may be determined according to selection of the sub-dimensions.

Thus, receiving a search instruction of a target search dimension, and superimposing the dimension data of the target search dimension on the dimension data currently displayed in the target area may include:

receiving a search instruction of a target search dimension, and displaying a plurality of sub-controls under the target search dimension, wherein the sub-controls are used for searching dimension data corresponding to the sub-dimension, and the sub-dimension is divided based on attribute parameters of the dimension data under the target search dimension; under the condition that the triggering of the target sub-control is detected, acquiring dimension data of a target sub-dimension corresponding to the target sub-control, and superposing the dimension data of the target sub-dimension on the dimension data currently displayed in the target area, wherein the target sub-control is any one or more of a plurality of sub-controls.

Wherein the attribute parameter of the dimension data in the target retrieval dimension is any attribute related to the dimension data. By way of example, attribute parameters of the dimension data may include device type attributes, data quality attributes, data acquisition time attributes, data upload time attributes, data acquisition location attributes, and so forth. For example, the data quality attributes may include resolution, frame rate, and the like.

That is, for the dimension data of the target search dimension, the dimension data may be divided into a plurality of sub-dimensions according to the attribute parameters of the dimension data, each sub-dimension corresponds to one sub-control, under the condition that the search instruction of the target search dimension is received, the plurality of sub-controls are displayed, if a user wants to view the dimension data of the target sub-dimension, the target sub-control corresponding to the target sub-dimension may be triggered, if the target sub-control is detected to be triggered, the dimension data of the target region in the target search dimension may be determined according to the region information of the target region, and according to the attribute parameters included in the target sub-dimension, the dimension data of the target sub-dimension is determined from the dimension data of the target region in the target search dimension, and the dimension data of the target sub-dimension is obtained and displayed in a superimposed manner on the dimension data currently displayed in the target region.

Referring to fig. 7 for an exemplary illustration, fig. 7 shows a schematic diagram of a video data presentation page provided in accordance with one embodiment of the present specification. In fig. 7, a video control point (i.e., a video data retrieval control) is triggered, then sub-controls corresponding to 5 sub-dimensions are displayed, and the five sub-dimensions correspond to video 1-video 5 respectively, when a user selects sub-controls corresponding to video 2, video 3 and video 4, then three visual identification points of video data are displayed superimposed on the remote sensing data, and video 2, video 3 and video 4 are also displayed on a page.

In the embodiment of the specification, the target search dimension is further divided according to the attribute parameters of the dimension data to obtain a plurality of sub-dimensions, the plurality of sub-controls are displayed under the condition that the search instruction of the target search dimension is received, the dimension data of the target sub-dimension of the target area in the target search dimension is displayed under the condition that the target sub-controls are triggered, accurate data display can be achieved, on-demand display is achieved, the dimension data are acquired after the control is triggered, the acquired dimension data are less, and the data acquisition efficiency can be improved.

The above description is to perform data fusion search and visually superimpose and display dimension data, and then introduce a realization process of analyzing and processing the dimension data after visually superimpose and display the dimension data.

In one or more embodiments of the present disclosure, receiving a search instruction of a target search dimension, and after superimposing the dimension data of the target search dimension on the dimension data currently displayed in the target area, further includes: receiving project tasks submitted for first dimension data, wherein the first dimension data is dimension data of a first search dimension, and the first search dimension is a search dimension corresponding to any one of at least two search dimension controls; and analyzing and processing the first dimension data based on the project task to obtain and display a task result.

That is, the project task may be that a task management module in the system submits the project task to a data analysis module, and the data analysis module analyzes and processes the first dimension data based on the project task to obtain and display a task result.

In some embodiments, the first search dimension may be a remote sensing data search dimension, after displaying the remote sensing data of the target area, the latest farmland landform, river road network and other construction conditions may be checked from a large-scale macroscopic level, and if target extraction or time sequence analysis processing is required, a remote sensing AI interpretation task (project task) for the remote sensing data may be submitted, where the remote sensing AI interpretation task is to interpret the remote sensing data. The target extraction refers to extracting farmlands, river channels, buildings and the like from remote sensing data, and the time sequence analysis processing refers to analyzing the remote sensing data of the same area in different periods to determine land change conditions (including building change conditions, river channel change conditions, forest change conditions and the like) of the area.

Referring to fig. 8, fig. 8 is a schematic diagram illustrating analysis of a target land parcel change according to one embodiment of the present disclosure, where remote sensing data is analyzed and processed by a remote sensing AI interpretation task to determine a land parcel change.

In other embodiments, the first search dimension may be a video data search dimension, and after displaying the video data of the target area, the first search dimension is used for assisting in locating and viewing the video data of the video point based on the remote sensing data, so as to know the farmland setting or river channel water level detection condition. If the environment where a certain video site is located is required to be detected, a video detection task for video data collected by the video site can be submitted, analysis processing is carried out on the video data collected by the video site based on the video detection task, a detection result is obtained and displayed, and if abnormality exists based on the detection result, alarm information is displayed so that a user can process the video data.

Referring to fig. 9, fig. 9 is a schematic diagram of an alert information presentation page provided according to an embodiment of the present specification, in which a list of n pieces of alert information of the same video site before the current time is presented, and a last alert video, alert information, and a disposition opinion including a place of occurrence, a time of occurrence, and a device location are also presented, the disposition opinion including a handler, a contact phone, and a processing status.

In the embodiment of the specification, after the dimensional data is visually overlapped and displayed, the displayed dimensional data can be analyzed and processed according to the received project task, and the task result is displayed, so that a user can take corresponding measures based on the task result.

Further, the system provided by the specification is further provided with a task management module, which is used for uniformly managing the received project tasks. Thus, after receiving the project task submitted for the first dimension of data, further comprising: receiving a management instruction aiming at a target project task, wherein the target project task is any one or more of project tasks submitted before the current time, each project task submitted before the current time corresponds to different search dimensions, and the management instruction carries management parameters; and determining a task management rule under the search dimension corresponding to the target project task, and managing the target project task according to the management parameter and the task management rule.

That is, after receiving a plurality of project tasks corresponding to different search dimensions, the task management module in the system may manage the target project task according to the management parameters and the task management rules in the search dimensions corresponding to the target project task if receiving a management instruction carrying the management parameters for the target project task.

As one example, the management instructions may include start/stop processing the target project task, delete/add the target project task, view/update the task progress of the target project task, download/view/delete the task result of the target project task, and so forth.

As one example, the task management rules describe how project tasks are managed, including rules to be followed for any processing of project tasks. For example, task management rules include which algorithms/models to use to analyze the process dimension data, which paths to download task results, and so forth.

Referring to fig. 10 for an exemplary illustration, fig. 10 shows a schematic diagram of a task management page provided in accordance with one embodiment of the present specification. The task management page comprises information such as task names, zone numbers, image names, affiliated areas, interpretation types, model names, interpretation dates, task states, task descriptions, submitters, operations and the like.

In the embodiment of the specification, the task management module is used for uniformly managing project tasks corresponding to different search dimensions according to the task management rules corresponding to the search dimensions, so that the on-demand management and scheduling of the tasks are realized.

In one or more embodiments of the present disclosure, receiving a search instruction of a target search dimension, and after superimposing the dimension data of the target search dimension on the dimension data currently displayed in the target area, further includes:

responding to a prediction instruction aiming at a target area in a target retrieval dimension, and acquiring historical dimension data of the target area in the target retrieval dimension in a first time period; predicting dimension data of the target region in the target retrieval dimension in a second time period based on the history dimension data to obtain predicted dimension data, wherein the first time period is earlier than the second time period; and displaying the predicted dimension data of the target region in the target retrieval dimension.

That is, according to the historical dimension data of the target area in the target retrieval dimension, the dimension data of the target area in the target retrieval dimension can be predicted, and the predicted dimension data can be obtained and displayed.

In a specific implementation, under the condition that dimensional data of a target area in each search dimension is displayed, a prediction control corresponding to each search dimension can be displayed on a page, if the dimensional data of the target search dimension is required to be predicted, the prediction control corresponding to the target search dimension can be triggered, a system receives a prediction instruction aiming at the target area in the target search dimension, and in response to the prediction instruction, historical dimensional data of the target area in the target search dimension in the first time period is obtained from the dimensional data of the map to be searched in each search dimension according to the area information of the target search area and the time information of the first time period, and according to the historical dimensional data, the dimensional data of the target area in the target search dimension in the second time period is predicted by using a prediction model or a prediction algorithm, so that predicted dimensional data is obtained and displayed.

As an example, the target retrieval dimension may be a remote sensing data retrieval dimension, and then remote sensing data in a second time period of the target area may be predicted and displayed according to the remote sensing data in the first time period of the target area.

As another example, the target retrieval dimension may be a video data retrieval dimension, and the prediction instruction may be a prediction instruction for video data of a target video point in the target area, and according to historical video data of the target video point in the first period, the predicted video data of the target video point in the second period may be predicted and displayed.

As yet another example, the target retrieval dimension may be a weather data retrieval dimension, and weather data within a second time period of the target region may be predicted from weather data within a first time period of the target region, which may be presented in the form of raster data. For example, the predicted temperature of the target area for the next 24 hours may be predicted from the historical temperature of the target area for the previous week.

Illustratively, referring to FIG. 11, FIG. 11 shows a schematic diagram of weather raster data provided in accordance with one embodiment of the present specification, which shows the results of a 24 hour temperature prediction, currently shown is 2022-1-2620:00 different areas, dividing the temperatures into five grades according to the temperature, displaying an area selection control at the upper left corner, and checking the predicted temperature of a specific area by inputting an area keyword.

In the embodiment of the specification, after the dimensional data is displayed, the dimensional data can be dynamically predicted based on the historical dimensional data so as to guide the production and development of water conservancy and water conservation, agriculture and the like.

According to the data retrieval method provided by the embodiment of the specification, based on the self-grinding space-earth integrated space-time data engine, spatial data retrieval is supported except for time information retrieval, attribute information retrieval and the like of various data, the required data are acquired in a POI retrieval mode, a polygonal arbitrary partitioning retrieval mode and the like, multi-source data fusion retrieval is realized, remote sensing data is supported as a base, video, internet of things (IoT) and meteorological data are visual mark points, meanwhile, meteorological grid data such as air temperature, precipitation and humidity are accessed, 24-hour dynamic prediction is provided, superposition analysis application such as agricultural production is assisted, multi-source data fusion superposition analysis is realized, modular design is performed on multi-source heterogeneous space-time data management such as satellites, unmanned aerial vehicles, cameras, ioT equipment and meteorological sites, unified management and scheduling are performed as required, and unified data management and task management are realized. In addition, the data retrieval module is designed, the retrieval result supports superposition visual analysis, and meanwhile, the problems that a software and hardware system is cracked, the functions are complex, data are scattered, superposition analysis cannot be performed and the like are solved by matching with the data management module and the task management module which are in modularized design.

Referring to fig. 12, fig. 12 shows a flowchart of another data retrieval method according to an embodiment of the present disclosure, which may specifically include the following steps.

Step 1202: and responding to the space retrieval instruction, and determining a corresponding target area in the map to be retrieved according to the area information carried by the space retrieval instruction.

Step 1204: and displaying remote sensing data retrieval control, video data retrieval control and meteorological data retrieval control corresponding to the target area.

It should be noted that, the specific implementation of the steps 1202-1204 may be referred to the above description of the

steps

202 and 204, and this embodiment is not repeated here.

Step 1206: and receiving a search instruction of a target search dimension, and superposing dimension data of the target search dimension on the dimension data currently displayed in the target area, wherein the search instruction is based on any one or more triggers corresponding to the target search dimension in the remote sensing data search control, the video data search control and the meteorological data search control.

Receiving a search instruction of a target search dimension, and superposing dimension data of the target search dimension on dimension data currently displayed in a target area can comprise: receiving a search instruction of a target search dimension, and determining whether the search dimension corresponding to the dimension data currently displayed comprises a remote sensing data search dimension or not; if not, superposing the remote sensing data of the target area and the dimension data of the target retrieval dimension on the dimension data currently displayed in the target area.

In this embodiment, the basic search dimension is a remote sensing data search dimension, and if a search instruction of a target search dimension is received, whether the currently displayed dimension data is remote sensing data is judged, and if not, the remote sensing data of the target area and the dimension data of the target search dimension are obtained, and the remote sensing data of the target area and the dimension data of the target search dimension are displayed in a superposition manner on the currently displayed dimension data of the target area.

It should be noted that, the specific implementation of the foregoing may be referred to the description of step 206, and this embodiment is not repeated here.

In one possible implementation manner, receiving a search instruction of a target search dimension, and after superimposing the dimension data of the target search dimension on the dimension data currently displayed in the target area, further includes:

receiving a video detection task submitted by video data aiming at a target area; based on the video detection task, analyzing and processing the video data to obtain and display a detection result; and if the abnormality exists based on the detection result, displaying the alarm information.

It should be noted that, the specific implementation of the foregoing may be referred to the related description of step 206, and this embodiment is not repeated here.

In another possible implementation manner, receiving a search instruction of a target search dimension, and after superimposing the dimension data of the target search dimension on the dimension data currently displayed in the target area, further includes:

under the condition that the meteorological data of the target area are displayed, responding to a meteorological data prediction instruction aiming at the target area, and acquiring historical meteorological data of the target area in a first time period; predicting weather data of the target area in a second time period based on the historical weather data to obtain predicted weather data, wherein the first time period is earlier than the second time period; the predicted meteorological data is shown.

In a specific implementation, if the weather data of the target area is already displayed, and the page also displays a prediction control for the weather data, the prediction control is triggered by a user to send a weather data prediction instruction for the target area to the system, then in response to the weather data prediction instruction for the target area, historical weather data of the target area in a first time period can be obtained and input into a weather data prediction model, the model can output predicted weather data of the target area in a second time period, and the predicted weather data can be weather grid data.

Referring to FIG. 13 for an exemplary illustration, FIG. 13 shows a schematic illustration of a presentation page of weather data according to one embodiment of the present disclosure. In the figure, data corresponding to the meteorological stations and the video control points are displayed in a superimposed manner on the basis of remote sensing data, 2 video control points and 8 meteorological stations are displayed as shown in fig. 13, video 2, video 3 and video 4 corresponding to the video stations are displayed on the page, and in the case that the A meteorological station is selected, the meteorological data acquired by the A meteorological station are displayed, including visibility, air temperature, humidity and precipitation. In addition, a prediction control for meteorological data is further displayed at the lower right corner of the page, and after the prediction control is triggered, a schematic diagram of the predicted meteorological data shown in fig. 11 can be obtained.

Corresponding to the above method embodiments, the present disclosure further provides an embodiment of a data retrieval device, and fig. 14 shows a schematic structural diagram of a data retrieval device provided in one embodiment of the present disclosure. As shown in fig. 14, the apparatus includes:

a first region determining module 1402, configured to determine, in response to the spatial retrieval instruction, a corresponding target region in the map to be retrieved according to region information carried by the spatial retrieval instruction;

a first control exhibition module 1404 configured to exhibit at least two search dimension controls corresponding to the target region, wherein the search dimension controls are used for searching dimension data of the corresponding search dimension;

the first superposition display module 1406 is configured to receive a search instruction of a target search dimension, and superimpose and display dimension data of the target search dimension on dimension data currently displayed in the target area, where the search instruction is triggered based on any one or more search dimension controls corresponding to the target search dimension, and the dimension data of different search dimensions characterizes environmental features under different dimensions of the target area.

In one or more embodiments of the present description, the first overlay presentation module 1406 is further configured to:

Receiving a search instruction of a target search dimension, and determining whether the search dimension corresponding to the dimension data displayed at present comprises a basic search dimension, wherein the basic search dimension is a default search dimension configured in advance or a search dimension with a higher priority than the target search dimension;

if not, superposing and displaying the dimension data of the basic search dimension and the dimension data of the target search dimension on the dimension data currently displayed in the target area.

In one or more embodiments of the present description, the apparatus further comprises a first data analysis module configured to:

receiving project tasks submitted for first dimension data, wherein the first dimension data is dimension data of a first search dimension, and the first search dimension is a search dimension corresponding to any one of at least two search dimension controls;

and analyzing and processing the first dimension data based on the project task to obtain and display a task result.

In one or more embodiments of the present description, the apparatus further comprises a task management module configured to:

receiving a management instruction aiming at a target project task, wherein the target project task is any one or more of project tasks submitted before the current time, each project task submitted before the current time corresponds to different search dimensions, and the management instruction carries management parameters;

And determining a task management rule under the search dimension corresponding to the target project task, and managing the target project task according to the management parameter and the task management rule.

In one or more embodiments of the present description, a target retrieval dimension is divided into a plurality of sub-dimensions;

the first overlay presentation module 1406 is further configured to:

receiving a search instruction of a target search dimension, and displaying a plurality of sub-controls under the target search dimension, wherein the sub-controls are used for searching dimension data corresponding to the sub-dimension, and the sub-dimension is divided based on attribute parameters of the dimension data under the target search dimension;

under the condition that the triggering of the target sub-control is detected, acquiring dimension data of a target sub-dimension corresponding to the target sub-control, and superposing the dimension data of the target sub-dimension on the dimension data currently displayed in the target area, wherein the target sub-control is any one or more of a plurality of sub-controls.

In one or more embodiments of the present specification, the apparatus further comprises a first data prediction module configured to:

responding to a prediction instruction aiming at a target area in a target retrieval dimension, and acquiring historical dimension data of the target area in the target retrieval dimension in a first time period;

Predicting dimension data of the target region in the target retrieval dimension in a second time period based on the history dimension data to obtain predicted dimension data, wherein the first time period is earlier than the second time period;

and displaying the predicted dimension data of the target region in the target retrieval dimension.

In one or more embodiments of the present description, the apparatus further comprises a data storage module configured to:

configuring data transmission rules corresponding to each search dimension, wherein the data transmission rules corresponding to each search dimension at least comprise transmission contents, transmission protocols and transmission interfaces corresponding to the search dimension;

based on a data transmission rule, receiving dimension data of a map to be searched in at least two search dimensions;

dimension data of at least two search dimensions is stored.

The above is a schematic scheme of a data retrieval device of the present embodiment. It should be noted that, the technical solution of the data retrieval device and the technical solution of the data retrieval method corresponding to fig. 2 belong to the same concept, and details of the technical solution of the data retrieval device, which are not described in detail, can be referred to the description of the technical solution of the data retrieval method corresponding to fig. 2.

Corresponding to the above method embodiments, the present disclosure further provides an embodiment of a data retrieval device, and fig. 15 shows a schematic structural diagram of another data retrieval device provided in one embodiment of the present disclosure. As shown in fig. 15, the apparatus includes:

a second region determining module 1502, configured to respond to the space retrieval instruction, and determine a corresponding target region in the map to be retrieved according to the region information carried by the space retrieval instruction;

a second control presentation module 1504 configured to present a remote sensing data retrieval control, a video data retrieval control, and a meteorological data retrieval control corresponding to the target area;

the second overlay display module 1506 is configured to receive a search instruction of the target search dimension, and overlay and display the dimension data of the target search dimension on the dimension data currently displayed in the target area, where the search instruction is based on any one or more triggers corresponding to the target search dimension in the remote sensing data search control, the video data search control, and the weather data search control.

In one or more embodiments of the present disclosure, the second overlay presentation module 1506 is further configured to:

receiving a search instruction of a target search dimension, and determining whether the search dimension corresponding to the dimension data currently displayed comprises a remote sensing data search dimension or not;

if not, superposing the remote sensing data of the target area and the dimension data of the target retrieval dimension on the dimension data currently displayed in the target area.

In one or more embodiments of the present description, the apparatus further comprises a second data analysis module configured to:

receiving a video detection task submitted by video data aiming at a target area;

based on the video detection task, analyzing and processing the video data to obtain and display a detection result;

and if the abnormality exists based on the detection result, displaying the alarm information.

In one or more embodiments of the present description, the apparatus further comprises a second data prediction module configured to: :

under the condition that the meteorological data of the target area are displayed, responding to a meteorological data prediction instruction aiming at the target area, and acquiring historical meteorological data of the target area in a first time period;

predicting weather data of the target area in a second time period based on the historical weather data to obtain predicted weather data, wherein the first time period is earlier than the second time period;

The predicted meteorological data is shown.

The above is a schematic scheme of a data retrieval device of the present embodiment. It should be noted that, the technical solution of the data retrieval device and the technical solution of the data retrieval method corresponding to fig. 12 belong to the same concept, and details of the technical solution of the data retrieval device, which are not described in detail, can be referred to the description of the technical solution of the data retrieval method corresponding to fig. 12.

FIG. 16 illustrates a block diagram of a computing device provided in accordance with one embodiment of the present description. The components of the computing device 1600 include, but are not limited to, a memory 1610 and a processor 1620. Processor 1620 is coupled to memory 1610 via bus 1630, and database 1650 is used to store data.

The computing device 1600 also includes an access device 1640, the access device 1640 enabling the computing device 1600 to communicate via one or more networks 1660. Examples of such networks include a public switched telephone network (PSTN, publicSwitched TelephoneNet), a local area network (LAN, localAreaNetwork), a wide area network (WAN, wideAreaNetwork), a personal area network (PAN, personalAreaNetwork), or a combination of communication networks such as the Internet. The Access device 1640 may include one or more of any type of Network interface, wired or wireless (e.g., a Network interface card (NIC, networkinterface controller)), such as an IEEE802.11 wireless local area Network (WLAN, wirelessLocalArea Network) wireless interface, a worldwide interoperability for microwave Access (Wi-MAX, worldwideInteroperabilityforMicrowave Access) interface, an ethernet interface, a universal serial bus (USB, universalSerialBus) interface, a cellular Network interface, a bluetooth interface, a near-field communication (NFC, nearFieldCommunication) interface, and so forth.

In one embodiment of the present description, the above-described components of computing device 1600, as well as other components not shown in FIG. 16, may also be connected to each other, such as by a bus. It should be understood that the computing device structural block diagram shown in fig. 16 is for exemplary purposes only and is not intended to limit the scope of the present description. Those skilled in the art may add or replace other components as desired.

The computing device 1600 may be any type of stationary or mobile computing device, including a mobile computer or mobile computing device (e.g., tablet, personal digital assistant, laptop, notebook, netbook, etc.), mobile telephone (e.g., smart phone), wearable computing device (e.g., smart watch, smart glasses, etc.), or other type of mobile device, or a stationary computing device such as a desktop computer or personal computer (PC, personalComputer). The computing device 1600 may also be a mobile or stationary server.

Wherein the processor 1620 is configured to execute computer-executable instructions that, when executed by the processor, perform the steps of the data retrieval method described above.

The foregoing is a schematic illustration of a computing device of this embodiment. It should be noted that, the technical solution of the computing device and the technical solution of the data retrieval method belong to the same concept, and details of the technical solution of the computing device, which are not described in detail, can be referred to the description of the technical solution of the data retrieval method.

An embodiment of the present disclosure also provides a computer-readable storage medium storing computer-executable instructions that, when executed by a processor, implement the steps of the data retrieval method described above.

The above is an exemplary version of a computer-readable storage medium of the present embodiment. It should be noted that, the technical solution of the storage medium and the technical solution of the data retrieval method belong to the same concept, and details of the technical solution of the storage medium which are not described in detail can be referred to the description of the technical solution of the data retrieval method.

An embodiment of the present specification also provides a computer program, wherein the computer program, when executed in a computer, causes the computer to perform the steps of the data retrieval method described above.

The above is an exemplary version of a computer program of the present embodiment. It should be noted that, the technical solution of the computer program and the technical solution of the data retrieval method belong to the same concept, and details of the technical solution of the computer program, which are not described in detail, can be referred to the description of the technical solution of the data retrieval method.

The foregoing describes specific embodiments of the present disclosure. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims can be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

The computer instructions include computer program code that may be in source code form, object code form, executable file or some intermediate form, etc. The computer readable medium may include: any entity or device capable of carrying the computer program code, a recording medium, a U disk, a removable hard disk, a magnetic disk, an optical disk, a computer memory, a Read-only memory (ROM), a random access memory (RAM, randomAccessMemory), an electrical carrier signal, a telecommunication signal, a software distribution medium, and so forth. It should be noted that the computer readable medium contains content that can be appropriately scaled according to the requirements of jurisdictions in which such content is subject to legislation and patent practice, such as in certain jurisdictions in which such content is subject to legislation and patent practice, the computer readable medium does not include electrical carrier signals and telecommunication signals.

It should be noted that, for simplicity of description, the foregoing method embodiments are all expressed as a series of combinations of actions, but it should be understood by those skilled in the art that the embodiments are not limited by the order of actions described, as some steps may be performed in other order or simultaneously according to the embodiments of the present disclosure. Further, those skilled in the art will appreciate that the embodiments described in the specification are all preferred embodiments, and that the acts and modules referred to are not necessarily all required for the embodiments described in the specification.

In the foregoing embodiments, the descriptions of the embodiments are emphasized, and for parts of one embodiment that are not described in detail, reference may be made to the related descriptions of other embodiments.

The preferred embodiments of the present specification disclosed above are merely used to help clarify the present specification. Alternative embodiments are not intended to be exhaustive or to limit the invention to the precise form disclosed. Obviously, many modifications and variations are possible in light of the teaching of the embodiments. The embodiments were chosen and described in order to best explain the principles of the embodiments and the practical application, to thereby enable others skilled in the art to best understand and utilize the invention. This specification is to be limited only by the claims and the full scope and equivalents thereof.

Claims

1. A data retrieval method comprising:

receiving a search instruction of a target search dimension, and superposing and displaying the dimension data of the target search dimension on the dimension data currently displayed in the target area, wherein the search instruction is triggered based on any one or more search dimension controls corresponding to the target search dimension, and the dimension data of different search dimensions represent environmental characteristics of the target area under different dimensions.

2. The method of claim 1, the receiving a search instruction for a target search dimension, superimposing the dimension data for the target search dimension on the dimension data currently presented in the target region, comprising:

receiving a search instruction of a target search dimension, and determining whether the search dimension corresponding to the currently displayed dimension data comprises a basic search dimension, wherein the basic search dimension is a default search dimension which is configured in advance or a search dimension which is higher in priority than the target search dimension;

If not, the dimension data of the basic search dimension and the dimension data of the target search dimension are overlapped and displayed on the dimension data currently displayed in the target area.

3. The method according to claim 1 or 2, wherein the receiving the search instruction of the target search dimension further comprises, after superimposing the dimension data of the target search dimension on the dimension data currently displayed in the target area:

receiving project tasks submitted for first dimension data, wherein the first dimension data is dimension data of a first search dimension, and the first search dimension is a search dimension corresponding to any one of the at least two search dimension controls;

and based on the project task, analyzing and processing the first dimension data to obtain and display a task result.

4. The method of claim 3, after receiving the project task submitted for the first dimension data, further comprising:

And determining a task management rule under a search dimension corresponding to the target project task, and managing the target project task according to the management parameter and the task management rule.

5. The method of claim 1, the target retrieval dimension being divided into a plurality of sub-dimensions; the receiving a search instruction of a target search dimension, superposing and displaying the dimension data of the target search dimension on the dimension data currently displayed in the target area, includes:

receiving a search instruction of a target search dimension, and displaying a plurality of sub-controls under the target search dimension, wherein the sub-controls are used for searching dimension data of corresponding sub-dimensions, and the sub-dimensions are divided based on attribute parameters of the dimension data under the target search dimension;

under the condition that the triggering of the target sub-control is detected, acquiring dimension data of a target sub-dimension corresponding to the target sub-control, and superposing and displaying the dimension data of the target sub-dimension on the dimension data currently displayed in the target area, wherein the target sub-control is any one or more of the plurality of sub-controls.

6. The method of claim 1, 2 or 5, the receiving a search instruction of a target search dimension, after superimposing the dimension data of the target search dimension on the dimension data currently presented in the target area, further comprising:

7. The method according to claim 1, wherein the responding to the space retrieval instruction, according to the area information carried by the space retrieval instruction, before determining the corresponding target area in the map to be retrieved, further comprises:

receiving dimension data of the map to be searched in at least two search dimensions based on the data transmission rule;

and storing the dimension data of the at least two search dimensions.

8. A data retrieval method comprising:

and receiving a search instruction of a target search dimension, and superposing and displaying the dimension data of the target search dimension on the dimension data currently displayed in the target area, wherein the search instruction is based on any one or more triggers corresponding to the target search dimension in the remote sensing data search control, the video data search control and the meteorological data search control.

9. The method of claim 8, the receiving a search instruction for a target search dimension, superimposing the dimension data for the target search dimension on the dimension data currently presented in the target region, comprising:

receiving a search instruction of a target search dimension, and determining whether the search dimension corresponding to the currently displayed dimension data comprises a remote sensing data search dimension or not;

if not, superposing and displaying the remote sensing data of the target area and the dimension data of the target retrieval dimension on the dimension data currently displayed in the target area.

10. The method according to claim 8 or 9, wherein the receiving the search instruction of the target search dimension further comprises, after superimposing the dimension data of the target search dimension on the dimension data currently displayed in the target area:

receiving a video detection task submitted by video data aiming at the target area;

11. The method according to claim 8 or 9, wherein the receiving the search instruction of the target search dimension further comprises, after superimposing the dimension data of the target search dimension on the dimension data currently displayed in the target area:

acquiring historical weather data of the target area within a first time period in response to weather data prediction instructions for the target area under the condition that the weather data of the target area has been displayed;

The predicted meteorological data is shown.

12. A data retrieval device comprising:

13. A computing device, comprising:

a memory and a processor;

the memory is configured to store computer executable instructions, and the processor is configured to execute the computer executable instructions, which when executed by the processor, implement the steps of the data retrieval method of any one of claims 1-7 or 8-11.

14. A computer readable storage medium storing computer executable instructions which when executed by a processor perform the steps of the data retrieval method of any one of claims 1 to 7 or 8 to 11.