CN113761012A - Analysis visualization method of remote sensing data, server and storage medium - Google Patents

Analysis visualization method of remote sensing data, server and storage medium Download PDF

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CN113761012A
CN113761012A CN202010503183.4A CN202010503183A CN113761012A CN 113761012 A CN113761012 A CN 113761012A CN 202010503183 A CN202010503183 A CN 202010503183A CN 113761012 A CN113761012 A CN 113761012A
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data
remote sensing
request
client
analysis
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李征宇
王涛
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Yiwu Spacetime Artificial Intelligence Co ltd
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Yiwu Spacetime Artificial Intelligence Co ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24Querying
    • G06F16/245Query processing
    • G06F16/2458Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
    • G06F16/2465Query processing support for facilitating data mining operations in structured databases
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01SRADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S13/00Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
    • G01S13/88Radar or analogous systems specially adapted for specific applications
    • G01S13/89Radar or analogous systems specially adapted for specific applications for mapping or imaging
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/22Indexing; Data structures therefor; Storage structures
    • G06F16/2282Tablespace storage structures; Management thereof
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24Querying
    • G06F16/248Presentation of query results
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/01Protocols

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Abstract

The invention relates to data analysis and provides an analysis visualization method, a server and a storage medium for remote sensing data. The method comprises the steps of receiving a remote sensing data analysis request sent by a client, respectively obtaining first identification information, second identification information and a request type of remote sensing data to be analyzed carried in the request, obtaining original remote sensing data of the request from a remote sensing satellite observation database, obtaining associated data of the request from an object database, obtaining an initial data table corresponding to the request based on the request type, taking the initial data table configured by the client as a target data table, carrying out analysis processing operation on data in the target data table based on analysis processing rules of the target data table to obtain target remote sensing analysis data, filling the target remote sensing analysis data into a preset template file to generate a target remote sensing analysis file, and feeding the target remote sensing file back to the client for the client to carry out visual display. The invention can improve the efficiency of remote sensing data analysis.

Description

Analysis visualization method of remote sensing data, server and storage medium
Technical Field
The invention relates to the field of data analysis, in particular to an analysis visualization method of remote sensing data, a server and a storage medium.
Background
The remote sensing satellite data is the reflection of the remote sensing satellite in space for detecting the earth surface object to the electromagnetic wave and the electromagnetic wave emitted by the object, thereby extracting the object information, completing the remote identification of the object, converting the electromagnetic wave, and identifying to obtain a visual image, namely a satellite image.
In the remote sensing satellite data analysis process, the attribute data of an associated object is often needed to be analyzed, taking an enterprise with the object as an industrial park as an example, the attribute data of different enterprises may be different, the traditional analysis mode is to analyze the remote sensing satellite data and the enterprise data after manually configuring the attribute information of the data, and the attributes of the enterprise data are usually more and can be changed continuously, so that the efficiency of remote sensing data analysis is low.
Disclosure of Invention
In view of the above, the present invention provides a method, a server and a storage medium for analyzing and visualizing remote sensing data, and aims to solve the technical problem of low efficiency of remote sensing data analysis in the prior art.
In order to achieve the above object, the present invention provides a method for analyzing and visualizing remote sensing data, including:
a receiving step: receiving a remote sensing data analysis request sent by a client, analyzing the request, and respectively obtaining first identification information of remote sensing data to be analyzed, second identification information of the remote sensing data to be analyzed and the request type carried in the request;
an acquisition step: acquiring original remote sensing data corresponding to the request from a preset remote sensing satellite observation database based on the first identification information, acquiring associated data corresponding to the request from a preset object database based on the second identification information, acquiring an initial data table corresponding to the request based on the request type, and sending the initial data table to the client so that the client can perform configuration operation on the original remote sensing data and the associated data based on the initial data table;
a monitoring step: monitoring whether a client sends confirmation information of configuration completion in real time, and when the client sends the confirmation information of configuration completion, taking an initial data table of the configuration completion of the client as a target data table;
and (3) an analysis step: and based on the analysis processing rule of the target data table, carrying out analysis processing operation on the original remote sensing data and the associated data in the target data table to obtain target remote sensing analysis data, filling the target remote sensing analysis data into a preset template file to generate a target remote sensing analysis file, and feeding the target remote sensing analysis file back to the client so as to enable the client to carry out visual display.
Preferably, the obtaining an initial data table corresponding to the request based on the request type and sending the initial data table to the client includes:
when the request type comprises a first preset type of request, determining an initial data table corresponding to the first preset processing request, and sending the initial data table to the client through a corresponding interface so that the client can perform configuration operation on the original remote sensing data and the associated data based on the interface;
and when the request comprises a second preset type of request, providing an editing interface corresponding to the second preset type of request to the client, so that the client can add or delete the original remote sensing data and the associated data based on the interface.
Preferably, the analyzing step further comprises:
and based on the calculation rule of the target data table, performing calculation operation on the data to be calculated in the target data table to obtain calculation result data, and filling the calculation result data into the preset template file in a preset format.
Preferably, the method further comprises:
when a request for updating the target remote sensing analysis data sent by a client is received, third identification information carried in the request is obtained, the update data corresponding to the request is searched from the object database based on the third identification information, and the searched update data is sent to the client so that the client can perform update operation on the target remote sensing analysis data based on the update data.
Preferably, the receiving step further comprises:
judging whether a preset device registry has a device identifier of the terminal device to which the client belongs;
when the equipment identifier exists in the equipment registry, determining that the equipment identifier of the terminal equipment passes authentication and executing the acquisition step;
and when the equipment identifier does not exist in the equipment registry, carrying out safety prompt on the remote sensing data analysis request, and forbidding the terminal equipment to access the data corresponding to the remote sensing data analysis request.
To achieve the above object, the present invention also provides a server, including: the remote sensing data analysis visualization program is executed by the processor, and the following steps are realized:
a receiving step: receiving a remote sensing data analysis request sent by a client, analyzing the request, and respectively obtaining first identification information of remote sensing data to be analyzed, second identification information of the remote sensing data to be analyzed and the request type carried in the request;
an acquisition step: acquiring original remote sensing data corresponding to the request from a preset remote sensing satellite observation database based on the first identification information, acquiring associated data corresponding to the request from a preset object database based on the second identification information, acquiring an initial data table corresponding to the request based on the request type, and sending the initial data table to the client so that the client can perform configuration operation on the original remote sensing data and the associated data based on the initial data table;
a monitoring step: monitoring whether a client sends confirmation information of configuration completion in real time, and when the client sends the confirmation information of configuration completion, taking an initial data table of the configuration completion of the client as a target data table;
and (3) an analysis step: and based on the analysis processing rule of the target data table, carrying out analysis processing operation on the original remote sensing data and the associated data in the target data table to obtain target remote sensing analysis data, filling the target remote sensing analysis data into a preset template file to generate a target remote sensing analysis file, and feeding the target remote sensing analysis file back to the client so as to enable the client to carry out visual display.
Preferably, the obtaining an initial data table corresponding to the request based on the request type and sending the initial data table to the client includes:
when the request type comprises a first preset type of request, determining an initial data table corresponding to the first preset processing request, and sending the initial data table to the client through a corresponding interface so that the client can perform configuration operation on the original remote sensing data and the associated data based on the interface;
and when the request comprises a second preset type of request, providing an editing interface corresponding to the second preset type of request to the client, so that the client can add or delete the original remote sensing data and the associated data based on the interface.
Preferably, the analyzing step further comprises:
and based on the calculation rule of the target data table, performing calculation operation on the data to be calculated in the target data table to obtain calculation result data, and filling the calculation result data into the preset template file in a preset format.
Preferably, the receiving step further comprises:
judging whether a preset device registry has a device identifier of the terminal device to which the client belongs;
when the equipment identifier exists in the equipment registry, determining that the equipment identifier of the terminal equipment passes authentication and executing the acquisition step;
and when the equipment identifier does not exist in the equipment registry, carrying out safety prompt on the remote sensing data analysis request, and forbidding the terminal equipment to access the data corresponding to the remote sensing data analysis request.
In order to achieve the above object, the present invention further provides a computer readable storage medium, which includes an analysis visualization program for remote sensing data, and when the analysis visualization program for remote sensing data is executed by a processor, the computer readable storage medium implements any of the steps in the analysis visualization method for remote sensing data as described above.
The analysis visualization method, the server and the storage medium for the remote sensing data can dynamically configure the analysis rules of the remote sensing data and the enterprise attribute data, thereby supporting the differential analysis requirements of different users, the analysis rules can be written into a post-person in real time through scripts and configured in real time, the incremental configuration of the newly-added analysis rules is met, the configured data table is processed in time to obtain target remote sensing analysis data through real-time monitoring of the analysis rules configured by the users, and the efficiency of remote sensing data analysis is improved.
Drawings
FIG. 1 is a diagram of a server according to a preferred embodiment of the present invention;
FIG. 2 is a block diagram of a preferred embodiment of the process for analyzing and visualizing the remotely sensed data of FIG. 1;
FIG. 3 is a flow chart of a preferred embodiment of the method for analyzing and visualizing remote sensing data of the present invention;
the implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, a server 1 according to a preferred embodiment of the present invention is shown.
The server 1 includes but is not limited to: memory 11, processor 12, display 13, and network interface 14. The server 1 is connected to a network through a network interface 14 to obtain raw data. The network may be a wireless or wired network such as an Intranet (Intranet), the Internet (Internet), a Global System for Mobile communications (GSM), Wideband Code Division Multiple Access (WCDMA), a 4G network, a 5G network, Bluetooth (Bluetooth), Wi-Fi, or a communication network.
The memory 11 includes at least one type of readable storage medium including a flash memory, a hard disk, a multimedia card, a card type memory (e.g., SD or DX memory, etc.), a Random Access Memory (RAM), a Static Random Access Memory (SRAM), a Read Only Memory (ROM), an Electrically Erasable Programmable Read Only Memory (EEPROM), a Programmable Read Only Memory (PROM), a magnetic memory, a magnetic disk, an optical disk, etc. In some embodiments, the storage 11 may be an internal storage unit of the server 1, such as a hard disk or a memory of the server 1. In other embodiments, the memory 11 may also be an external storage device of the server 1, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like provided in the server 1. Of course, the memory 11 may also comprise both an internal storage unit of the server 1 and an external storage device thereof. In this embodiment, the memory 11 is generally used for storing an operating system installed in the server 1 and various application software, such as program codes of the remote sensing data analysis visualization program 10. Further, the memory 11 may also be used to temporarily store various types of data that have been output or are to be output.
Processor 12 may be a Central Processing Unit (CPU), controller, microcontroller, microprocessor, or other data Processing chip in some embodiments. The processor 12 is generally used for controlling the overall operation of the server 1, such as performing data interaction or communication-related control and processing. In this embodiment, the processor 12 is configured to run the program code stored in the memory 11 or process data, for example, run the program code of the remote sensing data analysis visualization program 10.
The display 13 may be referred to as a display screen or display unit. In some embodiments, the display 13 may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, an Organic Light-Emitting Diode (OLED) touch screen, or the like. The display 13 is used for displaying information processed in the server 1 and for displaying a visual work interface, for example, results of data statistics.
The network interface 14 may optionally comprise a standard wired interface, a wireless interface (e.g. WI-FI interface), the network interface 14 typically being used for establishing a communication connection between the server 1 and other electronic devices.
Fig. 1 shows only the server 1 with components 11-14 and an analytical visualization program 10 of telemetric data, but it is to be understood that not all of the shown components are required and that more or less components may be implemented instead.
Optionally, the server 1 may further include a user interface, the user interface may include a Display (Display), an input unit such as a Keyboard (Keyboard), and the optional user interface may further include a standard wired interface and a wireless interface. Alternatively, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, an Organic Light-Emitting Diode (OLED) touch screen, or the like. The display, which may also be referred to as a display screen or display unit, is suitable for displaying information processed in the server 1 and for displaying a visual user interface.
The server 1 may further include a Radio Frequency (RF) circuit, a sensor, an audio circuit, and the like, which will not be described herein.
In the above embodiment, the processor 12, when executing the program 10 for analyzing and visualizing the remote sensing data stored in the memory 11, may implement the following steps:
a receiving step: receiving a remote sensing data analysis request sent by a client, analyzing the request, and respectively obtaining first identification information of remote sensing data to be analyzed, second identification information of the remote sensing data to be analyzed and the request type carried in the request;
an acquisition step: acquiring original remote sensing data corresponding to the request from a preset remote sensing satellite observation database based on the first identification information, acquiring associated data corresponding to the request from a preset object database based on the second identification information, acquiring an initial data table corresponding to the request based on the request type, and sending the initial data table to the client so that the client can perform configuration operation on the original remote sensing data and the associated data based on the initial data table;
a monitoring step: monitoring whether a client sends confirmation information of configuration completion in real time, and when the client sends the confirmation information of configuration completion, taking an initial data table of the configuration completion of the client as a target data table;
and (3) an analysis step: and based on the analysis processing rule of the target data table, carrying out analysis processing operation on the original remote sensing data and the associated data in the target data table to obtain target remote sensing analysis data, filling the target remote sensing analysis data into a preset template file to generate a target remote sensing analysis file, and feeding the target remote sensing analysis file back to the client so as to enable the client to carry out visual display.
The storage device may be the memory 11 of the server 1, or may be another storage device communicatively connected to the server 1.
For a detailed description of the above steps, please refer to the following description of fig. 2 regarding a program module diagram of an embodiment of a program 10 for analyzing and visualizing remote sensing data and fig. 3 regarding a flowchart of an embodiment of a method for analyzing and visualizing remote sensing data.
In other embodiments, the program 10 for analyzing and visualizing the telemetric data may be divided into a plurality of modules, which are stored in the memory 12 and executed by the processor 13 to accomplish the present invention. The modules referred to herein are referred to as a series of computer program instruction segments capable of performing specified functions.
Referring to fig. 2, a block diagram of an embodiment of the program 10 for analyzing and visualizing the remote sensing data in fig. 1 is shown. In this embodiment, the program 10 for analyzing and visualizing the remote sensing data may be divided into: a receiving module 110, an obtaining module 120, a monitoring module 130, and an analyzing module 140.
The receiving module 110 is configured to receive a remote sensing data analysis request sent by a client, analyze the request, and respectively obtain first identification information of remote sensing data to be analyzed, second identification information of the remote sensing data to be analyzed, and the request type, where the first identification information and the second identification information are carried in the request.
In this embodiment, when a remote sensing data analysis request sent by a client is received, the request is analyzed, and first identification information of remote sensing data to be analyzed, second identification information of the remote sensing data to be analyzed, and a request type carried in the request are respectively obtained, where the first identification information is used to obtain data from a preset remote sensing satellite observation database, a large amount of observation data is stored in the remote sensing satellite observation database, the second identification is used to obtain data from a preset object database, the object database may be a third party enterprise information database, and a large amount of enterprise information is stored in the object database, and the request type may be that a user needs to analyze a certain enterprise in a certain park, or perform a joint analysis display on the remote sensing satellite data and the enterprise information in a certain park, and is not limited herein.
Further, the receiving module is further configured to determine whether a device identifier of the terminal device to which the client belongs exists in a preset device registry; when the equipment identifier exists in the equipment registry, determining that the equipment identifier of the terminal equipment passes authentication and executing the acquisition step; and when the equipment identifier does not exist in the equipment registry, carrying out safety prompt on the remote sensing data analysis request, and forbidding the terminal equipment to access the data corresponding to the remote sensing data analysis request. By judging whether the equipment identifier of the terminal equipment to which the client belongs is in the equipment registry or not, the security of the visual analysis of the remote sensing data can be improved, and the risk of data stealing caused by the leakage of the account password is prevented.
An obtaining module 120, configured to obtain, based on the first identification information, original remote sensing data corresponding to the request from a preset remote sensing satellite observation database, obtain, based on the second identification information, associated data corresponding to the request from a preset object database, obtain, based on the request type, an initial data table corresponding to the request, and send the initial data table to the client, so that the client performs configuration operation on the original remote sensing data and the associated data based on the initial data table.
In the embodiment, the original remote sensing data corresponding to the request is obtained from a preset remote sensing satellite observation database according to the first identification information, wherein, the remote sensing satellite observation database can be a relational database which stores data in a key-value pair mode, takes the mark as a key to acquire corresponding data, acquiring associated data corresponding to the request from a preset object database according to the second identification information, wherein the associated data can be basic information data of an enterprise, such as location information, capacity data, financial data, etc., based on the type of the request, an initial data table corresponding to the request is obtained and sent to the client, and the client executes configuration operation on the original remote sensing data and the associated data based on the initial data table, and a user can configure the relationship between the original remote sensing data and the associated data according to the initial data table.
In one embodiment, the obtaining and sending the initial data table corresponding to the request to the client based on the request type includes:
when the request type comprises a first preset type request, determining an initial data table corresponding to the first preset processing request, and sending the initial data table to the client through a corresponding interface so that the client can perform configuration operation on the original remote sensing data and the associated data based on the interface; the first preset type of request may refer to a request for configuring the original remote sensing data and the associated data by a user, for example, a calculation formula or an analysis rule related to configuration between the original remote sensing data and the associated data.
And when the request comprises a second preset type of request, providing an editing interface corresponding to the second preset type of request to the client, so that the client can add or delete the original remote sensing data and the associated data based on the interface. The second preset type of request may be a request for further editing of the original remote sensing data and associated data, for example, adding or deleting some original remote sensing data or associated data that are not related to the user.
The monitoring module 130 is configured to monitor whether the client sends confirmation information of configuration completion in real time, and when it is monitored that the client sends confirmation information of configuration completion, take the initial data table of configuration completion of the client as a target data table.
In this embodiment, whether the client sends confirmation information of completion of configuration is monitored in real time, when it is monitored that the client sends confirmation information of completion of configuration, the initial data table of completion of configuration of the client is used as a target data table, in an actual application scene, the server can monitor whether the client has completed configuration of the initial data table in real time, and when a user completes configuration of the initial data table through the client, the confirmation information of completion of configuration can be sent to the server through a component preset on an interface, so that the server can obtain the target data table of completion of configuration of the client.
The analysis module 140 is configured to perform analysis processing operations on the original remote sensing data and the associated data in the target data table based on an analysis processing rule of the target data table to obtain target remote sensing analysis data, fill the target remote sensing analysis data into a preset template file to generate a target remote sensing analysis file, and feed the target remote sensing analysis file back to the client for the client to perform visual display.
In this embodiment, the target data table may store calculation rules, analysis rules, and the like configured by a user, and based on the analysis processing rules of the target data table, perform analysis processing operations on the original remote sensing data and the associated data in the target data table to obtain target remote sensing analysis data, where the target remote sensing analysis data includes a relationship between the original remote sensing data and the associated data configured by the user, fill the target remote sensing analysis data into a preset template file to generate a target remote sensing analysis file, and feed the target remote sensing file back to the client for the client to perform visual display, where the display mode may be a broken line analysis chart, a histogram, and the like. For example, based on the regional remote sensing data, the parcel vector file and the enterprise location points, regional industry and enterprise data information are integrated, services such as industry distribution display, enterprise information statistics query analysis, key pollution enterprise distribution and index display, enterprise construction progress display and the like are provided, visual display of the current development situation of the regional industry is achieved, visual display and statistical analysis of key enterprise pollution energy consumption data can be achieved based on the regional remote sensing data and the enterprise location point files, and a manager is helped to achieve efficient management in the aspect of enterprise environmental protection.
In an embodiment, the analysis module is further configured to perform a calculation operation on data to be calculated in the target data table based on a calculation rule of the target data table to obtain calculation result data, and fill the calculation result data in the preset template file in a preset format. When the calculation rule configured by the user exists in the target data table, the calculation operation is performed on the data to be calculated in the target data table to obtain calculation result data, and the calculation rule can be configured according to actual analysis requirements.
In an embodiment, the program 10 for analyzing and visualizing remote sensing data further includes, when a request for updating the target remote sensing analysis data sent by a client is received, acquiring third identification information carried in the request, searching for update data corresponding to the request from the object database based on the third identification information, and sending the searched update data to the client, so that the client performs an update operation on the target remote sensing analysis data based on the update data. When the target remote sensing data is missing, the target remote sensing data can be updated according to the actual analysis requirements of the user.
In addition, the invention also provides an analysis visualization method of the remote sensing data. Referring to fig. 3, a method flow diagram of an embodiment of the method for analyzing and visualizing remote sensing data of the present invention is shown. The processor 12 of the server 1 executes the program 10 for analyzing and visualizing the remote sensing data stored in the memory 11 to realize the following steps of the method for analyzing and visualizing the remote sensing data:
step S10: receiving a remote sensing data analysis request sent by a client, analyzing the request, and respectively obtaining first identification information of remote sensing data to be analyzed, second identification information of the remote sensing data to be analyzed and the request type carried in the request.
In this embodiment, when a remote sensing data analysis request sent by a client is received, the request is analyzed, and first identification information of remote sensing data to be analyzed, second identification information of the remote sensing data to be analyzed, and a request type carried in the request are respectively obtained, where the first identification information is used to obtain data from a preset remote sensing satellite observation database, a large amount of observation data is stored in the remote sensing satellite observation database, the second identification is used to obtain data from a preset object database, the object database may be a third party enterprise information database, and a large amount of enterprise information is stored in the object database, and the request type may be that a user needs to analyze a certain enterprise in a certain park, or perform a joint analysis display on the remote sensing satellite data and the enterprise information in a certain park, and is not limited herein.
Further, step S10 further includes determining whether a device identifier of the terminal device to which the client belongs exists in a preset device registry; when the equipment identifier exists in the equipment registry, determining that the equipment identifier of the terminal equipment passes authentication and executing the acquisition step; and when the equipment identifier does not exist in the equipment registry, carrying out safety prompt on the remote sensing data analysis request, and forbidding the terminal equipment to access the data corresponding to the remote sensing data analysis request. By judging whether the equipment identifier of the terminal equipment to which the client belongs is in the equipment registry or not, the security of the visual analysis of the remote sensing data can be improved, and the risk of data stealing caused by the leakage of the account password is prevented.
Further, step S10 further includes determining whether a device identifier of the terminal device to which the client belongs exists in a preset device registry; when the equipment identifier exists in the equipment registry, determining that the equipment identifier of the terminal equipment passes authentication and executing the acquisition step; and when the equipment identifier does not exist in the equipment registry, carrying out safety prompt on the remote sensing data analysis request, and forbidding the terminal equipment to access the data corresponding to the remote sensing data analysis request.
Step S20: acquiring original remote sensing data corresponding to the request from a preset remote sensing satellite observation database based on the first identification information, acquiring associated data corresponding to the request from a preset object database based on the second identification information, acquiring an initial data table corresponding to the request based on the request type, and sending the initial data table to the client, so that the client can perform configuration operation on the original remote sensing data and the associated data based on the initial data table.
In the embodiment, the original remote sensing data corresponding to the request is obtained from a preset remote sensing satellite observation database according to the first identification information, wherein, the remote sensing satellite observation database can be a relational database which stores data in a key-value pair mode, takes the mark as a key to acquire corresponding data, acquiring associated data corresponding to the request from a preset object database according to the second identification information, wherein the associated data can be basic information data of an enterprise, such as location information, capacity data, financial data, etc., based on the type of the request, an initial data table corresponding to the request is obtained and sent to the client, and the client executes configuration operation on the original remote sensing data and the associated data based on the initial data table, and a user can configure the relationship between the original remote sensing data and the associated data according to the initial data table.
In one embodiment, the obtaining and sending the initial data table corresponding to the request to the client based on the request type includes:
when the request type comprises a first preset type request, determining an initial data table corresponding to the first preset processing request, and sending the initial data table to the client through a corresponding interface so that the client can perform configuration operation on the original remote sensing data and the associated data based on the interface; the first preset type of request may refer to a request for configuring the original remote sensing data and the associated data by a user, for example, a calculation formula or an analysis rule related to configuration between the original remote sensing data and the associated data.
And when the request comprises a second preset type of request, providing an editing interface corresponding to the second preset type of request to the client, so that the client can add or delete the original remote sensing data and the associated data based on the interface. The second preset type of request may be a request for further editing of the original remote sensing data and associated data, for example, adding or deleting some original remote sensing data or associated data that are not related to the user.
Step S30: monitoring whether the client sends confirmation information of configuration completion in real time, and when the client sends confirmation information of configuration completion, taking an initial data table of the configuration completion of the client as a target data table.
In this embodiment, whether the client sends confirmation information of completion of configuration is monitored in real time, when it is monitored that the client sends confirmation information of completion of configuration, the initial data table of completion of configuration of the client is used as a target data table, in an actual application scene, the server can monitor whether the client has completed configuration of the initial data table in real time, and when a user completes configuration of the initial data table through the client, the confirmation information of completion of configuration can be sent to the server through a component preset on an interface, so that the server can obtain the target data table of completion of configuration of the client.
Step S40: and based on the analysis processing rule of the target data table, carrying out analysis processing operation on the original remote sensing data and the associated data in the target data table to obtain target remote sensing analysis data, filling the target remote sensing analysis data into a preset template file to generate a target remote sensing analysis file, and feeding the target remote sensing analysis file back to the client so as to enable the client to carry out visual display.
In this embodiment, the target data table may store calculation rules, analysis rules, and the like configured by a user, and based on the analysis processing rules of the target data table, perform analysis processing operations on the original remote sensing data and the associated data in the target data table to obtain target remote sensing analysis data, where the target remote sensing analysis data includes a relationship between the original remote sensing data and the associated data configured by the user, fill the target remote sensing analysis data into a preset template file to generate a target remote sensing analysis file, and feed the target remote sensing file back to the client for the client to perform visual display, where the display mode may be a broken line analysis chart, a histogram, and the like. For example, based on the regional remote sensing data, the parcel vector file and the enterprise location points, regional industry and enterprise data information are integrated, services such as industry distribution display, enterprise information statistics query analysis, key pollution enterprise distribution and index display, enterprise construction progress display and the like are provided, visual display of the current development situation of the regional industry is achieved, visual display and statistical analysis of key enterprise pollution energy consumption data can be achieved based on the regional remote sensing data and the enterprise location point files, and a manager is helped to achieve efficient management in the aspect of enterprise environmental protection.
In an embodiment, the step S40 further includes performing a calculation operation on the data to be calculated in the target data table based on the calculation rule of the target data table to obtain calculation result data, and filling the calculation result data in the preset template file in a preset format. When the calculation rule configured by the user exists in the target data table, the calculation operation is performed on the data to be calculated in the target data table to obtain calculation result data, and the calculation rule can be configured according to actual analysis requirements.
In an embodiment, the method further includes, when a request for updating the target remote sensing analysis data sent by a client is received, acquiring third identification information carried in the request, searching for update data corresponding to the request from the object database based on the third identification information, and sending the searched update data to the client, so that the client performs an update operation on the target remote sensing analysis data based on the update data. When the target remote sensing data is missing, the target remote sensing data can be updated according to the actual analysis requirements of the user.
Furthermore, the embodiment of the present invention also provides a computer-readable storage medium, which may be any one or any combination of a hard disk, a multimedia card, an SD card, a flash memory card, an SMC, a Read Only Memory (ROM), an Erasable Programmable Read Only Memory (EPROM), a portable compact disc read only memory (CD-ROM), a USB memory, and the like. The computer readable storage medium comprises an analysis visualization program 10 of telemetric data, the analysis visualization program 10 of telemetric data when executed by a processor implements the following operations:
a receiving step: receiving a remote sensing data analysis request sent by a client, analyzing the request, and respectively obtaining first identification information of remote sensing data to be analyzed, second identification information of the remote sensing data to be analyzed and the request type carried in the request;
an acquisition step: acquiring original remote sensing data corresponding to the request from a preset remote sensing satellite observation database based on the first identification information, acquiring associated data corresponding to the request from a preset object database based on the second identification information, acquiring an initial data table corresponding to the request based on the request type, and sending the initial data table to the client so that the client can perform configuration operation on the original remote sensing data and the associated data based on the initial data table;
a monitoring step: monitoring whether a client sends confirmation information of configuration completion in real time, and when the client sends the confirmation information of configuration completion, taking an initial data table of the configuration completion of the client as a target data table;
and (3) an analysis step: and based on the analysis processing rule of the target data table, carrying out analysis processing operation on the original remote sensing data and the associated data in the target data table to obtain target remote sensing analysis data, filling the target remote sensing analysis data into a preset template file to generate a target remote sensing analysis file, and feeding the target remote sensing analysis file back to the client so as to enable the client to carry out visual display.
The specific implementation of the computer-readable storage medium of the present invention is substantially the same as the specific implementation of the analysis and visualization method for remote sensing data, and is not described herein again.
It should be noted that the above-mentioned numbers of the embodiments of the present invention are merely for description, and do not represent the merits of the embodiments. And the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, apparatus, article, or method that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, apparatus, article, or method. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, apparatus, article, or method that includes the element.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium (e.g., ROM/RAM, magnetic disk, optical disk) as described above and includes instructions for enabling a terminal device (e.g., a mobile phone, a computer, a server, or a network device) to execute the method according to the embodiments of the present invention.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.

Claims (10)

1. A method for analyzing and visualizing remote sensing data is applied to a server, and is characterized by comprising the following steps:
a receiving step: receiving a remote sensing data analysis request sent by a client, analyzing the request, and respectively obtaining first identification information of remote sensing data to be analyzed, second identification information of the remote sensing data to be analyzed and the request type carried in the request;
an acquisition step: acquiring original remote sensing data corresponding to the request from a preset remote sensing satellite observation database based on the first identification information, acquiring associated data corresponding to the request from a preset object database based on the second identification information, acquiring an initial data table corresponding to the request based on the request type, and sending the initial data table to the client so that the client can perform configuration operation on the original remote sensing data and the associated data based on the initial data table;
a monitoring step: monitoring whether a client sends confirmation information of configuration completion in real time, and when the client sends the confirmation information of configuration completion, taking an initial data table of the configuration completion of the client as a target data table;
and (3) an analysis step: and based on the analysis processing rule of the target data table, carrying out analysis processing operation on the original remote sensing data and the associated data in the target data table to obtain target remote sensing analysis data, filling the target remote sensing analysis data into a preset template file to generate a target remote sensing analysis file, and feeding the target remote sensing analysis file back to the client so as to enable the client to carry out visual display.
2. The method for analyzing and visualizing remote sensing data of claim 1, wherein said obtaining an initial data table corresponding to said request based on said request type and sending to said client comprises:
when the request type comprises a first preset type request, determining an initial data table corresponding to the first preset processing request, and sending the initial data table to the client through a corresponding interface so that the client can perform configuration operation on the original remote sensing data and the associated data based on the interface;
and when the request comprises a second preset type of request, providing an editing interface corresponding to the second preset type of request to the client, so that the client can add or delete the original remote sensing data and the associated data based on the interface.
3. The method for the analytical visualization of remotely sensed data as recited in claim 1, wherein said analyzing step further comprises:
and based on the calculation rule of the target data table, performing calculation operation on the data to be calculated in the target data table to obtain calculation result data, and filling the calculation result data into the preset template file in a preset format.
4. The method for analytical visualization of remotely sensed data as recited in claim 1, further comprising:
when a request for updating the target remote sensing analysis data sent by a client is received, third identification information carried in the request is obtained, the update data corresponding to the request is searched from the object database based on the third identification information, and the searched update data is sent to the client so that the client can perform update operation on the target remote sensing analysis data based on the update data.
5. The method for the analytical visualization of remote sensing data according to any one of claims 1 to 4, wherein said receiving step further comprises:
judging whether a preset device registry has a device identifier of the terminal device to which the client belongs;
when the equipment identifier exists in the equipment registry, determining that the equipment identifier of the terminal equipment passes authentication and executing the acquisition step;
and when the equipment identifier does not exist in the equipment registry, carrying out safety prompt on the remote sensing data analysis request, and forbidding the terminal equipment to access the data corresponding to the remote sensing data analysis request.
6. A server, comprising a memory and a processor, wherein the memory stores an analysis visualization program of remote sensing data, and the analysis visualization program of remote sensing data is executed by the processor, and the following steps are implemented:
a receiving step: receiving a remote sensing data analysis request sent by a client, analyzing the request, and respectively obtaining first identification information of remote sensing data to be analyzed, second identification information of the remote sensing data to be analyzed and the request type carried in the request;
an acquisition step: acquiring original remote sensing data corresponding to the request from a preset remote sensing satellite observation database based on the first identification information, acquiring associated data corresponding to the request from a preset object database based on the second identification information, acquiring an initial data table corresponding to the request based on the request type, and sending the initial data table to the client so that the client can perform configuration operation on the original remote sensing data and the associated data based on the initial data table;
a monitoring step: monitoring whether a client sends confirmation information of configuration completion in real time, and when the client sends the confirmation information of configuration completion, taking an initial data table of the configuration completion of the client as a target data table;
and (3) an analysis step: and based on the analysis processing rule of the target data table, carrying out analysis processing operation on the original remote sensing data and the associated data in the target data table to obtain target remote sensing analysis data, filling the target remote sensing analysis data into a preset template file to generate a target remote sensing analysis file, and feeding the target remote sensing analysis file back to the client so as to enable the client to carry out visual display.
7. The server of claim 6, wherein the obtaining and sending to the client an initial data table corresponding to the request based on the request type comprises:
when the request type comprises a first preset type of request, determining an initial data table corresponding to the first preset processing request, and sending the initial data table to the client through a corresponding interface so that the client can perform configuration operation on the original remote sensing data and the associated data based on the interface;
and when the request comprises a second preset type of request, providing an editing interface corresponding to the second preset type of request to the client, so that the client can add or delete the original remote sensing data and the associated data based on the interface.
8. The server of claim 6, wherein the analyzing step further comprises:
and based on the calculation rule of the target data table, performing calculation operation on the data to be calculated in the target data table to obtain calculation result data, and filling the calculation result data into the preset template file in a preset format.
9. The server of claim 6, wherein the receiving step further comprises:
judging whether a preset device registry has a device identifier of the terminal device to which the client belongs;
when the equipment identifier exists in the equipment registry, determining that the equipment identifier of the terminal equipment passes authentication and executing the acquisition step;
and when the equipment identifier does not exist in the equipment registry, carrying out safety prompt on the remote sensing data analysis request, and forbidding the terminal equipment to access the data corresponding to the remote sensing data analysis request.
10. A computer-readable storage medium, characterized in that it comprises a program for the analytical visualization of remotely sensed data, which program, when executed by a processor, carries out the steps of the method for the analytical visualization of remotely sensed data according to any one of claims 1 to 5.
CN202010503183.4A 2020-06-05 2020-06-05 Analysis visualization method of remote sensing data, server and storage medium Pending CN113761012A (en)

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