CN112632925A - Method and system for visualizing remote sensing data of Internet of things - Google Patents
Method and system for visualizing remote sensing data of Internet of things Download PDFInfo
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Abstract
The invention provides a method and a system for visualizing middle remote sensing data of an Internet of things, which determine the monitoring coverage area of a middle remote sensing terminal to a to-be-monitored area according to relative position information between the middle remote sensing terminal and the to-be-monitored area, further determine a remote sensing scanning monitoring mode of the middle remote sensing terminal to the to-be-monitored area to obtain the remote sensing monitoring data of the to-be-monitored area, analyze and convert the remote sensing monitoring data into a remote sensing monitoring visualization chart and dynamically display the remote sensing monitoring data, it can carry out proper remote sensing scanning operation aiming at different areas to be monitored so as to ensure that corresponding remote sensing monitoring data is comprehensively and accurately obtained, and the Internet of things is utilized to collect all remote sensing monitoring data for analysis to obtain a remote sensing monitoring visual chart, therefore, the reliability and the accuracy of remote sensing monitoring are improved, and the intuitiveness of remote sensing monitoring data is improved.
Description
Technical Field
The invention relates to the technical field of control of the Internet of things, in particular to a method and a system for visualizing remote sensing data in the Internet of things.
Background
Currently, remote sensing monitoring technology is widely applied to environmental monitoring, and a middle remote sensing terminal is used for remotely sensing and scanning a corresponding area range, so that remote sensing monitoring data of the corresponding area range can be rapidly and comprehensively obtained. Generally speaking, remote sensing monitoring data is a group of data set, which can form data information that can be visually understood only by corresponding analysis and conversion, but the prior art can not summarize and comprehensively process the remote sensing monitoring data obtained by different remote sensing terminals and generate corresponding visual remote sensing data, which seriously reduces the applicability of the remote sensing monitoring technology to different scenes and is not beneficial to popularization of the remote sensing monitoring technology, thereby greatly affecting the monitoring reliability and accuracy of the remote sensing monitoring technology.
Disclosure of Invention
Aiming at the defects in the prior art, the invention provides a method and a system for visualizing middle remote sensing data of the Internet of things, which are characterized in that the relative position information between a middle remote sensing terminal and an area to be monitored is obtained, the monitoring coverage area of the middle remote sensing terminal on the area to be monitored is determined according to the relative position information, the remote sensing scanning monitoring mode of the middle remote sensing terminal on the area to be monitored is determined according to the monitoring coverage area, so that the remote sensing monitoring data of the area to be monitored is obtained, the remote sensing monitoring data is collected through the Internet of things and then is analyzed and processed, so that a corresponding remote sensing monitoring visual chart is obtained, and the remote sensing monitoring visual chart is dynamically displayed; therefore, the method and the system for visualizing the remote sensing data of the middle platform of the Internet of things determine the monitoring coverage area of the middle platform remote sensing terminal to the area to be monitored according to the relative position information between the middle platform remote sensing terminal and the area to be monitored, then determine the remote sensing scanning monitoring mode of the middle platform remote sensing terminal to the area to be monitored to obtain the remote sensing monitoring data of the area to be monitored, analyze and convert the remote sensing monitoring data into a remote sensing monitoring visualization chart and dynamically display the remote sensing monitoring data, it can carry out proper remote sensing scanning operation aiming at different areas to be monitored so as to ensure that corresponding remote sensing monitoring data is comprehensively and accurately obtained, and the Internet of things is utilized to collect all remote sensing monitoring data for analysis to obtain a remote sensing monitoring visual chart, therefore, the reliability and the accuracy of remote sensing monitoring are improved, and the intuitiveness of remote sensing monitoring data is improved.
The invention provides a method for visualizing remote sensing data in an Internet of things, which is characterized by comprising the following steps of:
step S1, obtaining relative position information between the central remote sensing terminal and the area to be monitored, and determining the monitoring coverage area of the central remote sensing terminal to the area to be monitored according to the relative position information;
step S2, determining a remote sensing scanning monitoring mode of the middle remote sensing terminal to the area to be monitored according to the monitoring coverage range, thereby obtaining remote sensing monitoring data about the area to be monitored;
step S3, after the remote sensing monitoring data are collected through the Internet of things, the remote sensing monitoring data are analyzed and processed to obtain a corresponding remote sensing monitoring visual chart, and the remote sensing monitoring visual chart is dynamically displayed;
further, in step S1, the obtaining of the relative position information between the remote center sensing terminal and the area to be monitored, and determining the monitoring coverage area of the remote center sensing terminal on the area to be monitored according to the relative position information specifically includes:
s101, acquiring a relative distance and a relative angle pose between the middle remote sensing terminal and the area to be monitored, and taking the relative distance and the relative angle pose as the relative position information;
step S102, determining the maximum monitoring coverage area of the middle remote sensing terminal capable of carrying out remote sensing monitoring on the area to be monitored according to the relative distance and the relative angle pose;
step S103, acquiring the actual coverage area of the area to be monitored, comparing the maximum monitoring coverage area with the actual coverage area, if the maximum monitoring coverage area is larger than the actual coverage area, taking the maximum monitoring coverage area as the monitoring coverage area, otherwise, taking the actual coverage area as the monitoring coverage area;
further, in step S2, determining, according to the monitoring coverage, a remote sensing scanning monitoring mode of the center remote sensing terminal on the area to be monitored, so as to obtain remote sensing monitoring data about the area to be monitored specifically includes:
step S201, dividing the monitoring coverage into a plurality of subregions with the same area, and determining the remote sensing monitoring sensitivity of the middle remote sensing terminal to each subregion;
step S202, comparing the remote sensing monitoring sensitivity with a preset monitoring sensitivity threshold, if the remote sensing monitoring sensitivity is smaller than the preset monitoring sensitivity threshold, increasing the remote sensing monitoring duration of the middle remote sensing terminal to the subregion, otherwise, keeping the remote sensing monitoring duration of the middle remote sensing terminal to the subregion unchanged;
step S203, according to the respective remote sensing monitoring duration of each sub-area, indicating the middle remote sensing terminal to perform corresponding remote sensing scanning monitoring on the area to be monitored, so as to obtain remote sensing monitoring data about the area to be monitored;
further, in step S3, after the remote sensing monitoring data is collected through the internet of things, the remote sensing monitoring data is analyzed and processed to obtain a corresponding remote sensing monitoring visual chart, and the dynamic display of the remote sensing monitoring visual chart specifically includes:
step S301, collecting remote sensing monitoring data generated by the middle remote sensing terminal in different time periods through the Internet of things, and forming a remote sensing monitoring data sequence by all the collected remote sensing monitoring data according to the time sequence;
step S302, performing Kalman filtering processing and data-chart conversion processing on the remote sensing monitoring data sequence to obtain a corresponding remote sensing monitoring visual chart;
and S303, dynamically displaying the remote sensing monitoring visual chart in a rolling mode according to the forming time sequence of the remote sensing monitoring visual chart.
The invention also provides a system for visualizing the remote sensing data of the Internet of things, which is characterized by comprising a monitoring coverage area determining module, a remote sensing monitoring data obtaining module, a remote sensing monitoring data analyzing module and a visual display module; wherein,
the monitoring coverage area determining module is used for acquiring relative position information between the central remote sensing terminal and the area to be monitored, and determining the monitoring coverage area of the central remote sensing terminal to the area to be monitored according to the relative position information;
the remote sensing monitoring data acquisition module is used for determining a remote sensing scanning monitoring mode of the middle remote sensing terminal on the area to be monitored according to the monitoring coverage range, so as to obtain remote sensing monitoring data about the area to be monitored;
the remote sensing monitoring data analysis module is used for collecting the remote sensing monitoring data through the Internet of things and then analyzing and processing the remote sensing monitoring data so as to obtain a corresponding remote sensing monitoring visual chart;
the visual display module is used for dynamically displaying the remote sensing monitoring visual chart;
further, the step of acquiring relative position information between the central remote sensing terminal and the area to be monitored by the monitoring coverage determining module, and determining the monitoring coverage of the central remote sensing terminal to the area to be monitored according to the relative position information specifically includes:
acquiring the relative distance and the relative angle pose between the middle remote sensing terminal and the area to be monitored, and taking the relative distance and the relative angle pose as the relative position information;
determining the maximum monitoring coverage area of the middle remote sensing terminal capable of carrying out remote sensing monitoring on the area to be monitored according to the relative distance and the relative angle pose;
acquiring the actual coverage area of the area to be monitored, comparing the maximum monitoring coverage area with the actual coverage area, if the maximum monitoring coverage area is larger than the actual coverage area, taking the maximum monitoring coverage area as the monitoring coverage area, and if not, taking the actual coverage area as the monitoring coverage area;
further, the module for acquiring remote sensing monitoring data determines a remote sensing scanning monitoring mode of the middle remote sensing terminal to the area to be monitored according to the monitoring coverage, so as to obtain the remote sensing monitoring data about the area to be monitored specifically comprises:
dividing the monitoring coverage area into a plurality of subregions with the same area, and determining the remote sensing monitoring sensitivity of the middle remote sensing terminal to each subregion;
comparing the remote sensing monitoring sensitivity with a preset monitoring sensitivity threshold, if the remote sensing monitoring sensitivity is smaller than the preset monitoring sensitivity threshold, increasing the remote sensing monitoring duration of the middle remote sensing terminal on the subregion, otherwise, keeping the remote sensing monitoring duration of the middle remote sensing terminal on the subregion unchanged;
finally, according to the respective remote sensing monitoring duration of each sub-region, indicating the middle remote sensing terminal to perform corresponding remote sensing scanning monitoring on the region to be monitored, so as to obtain remote sensing monitoring data about the region to be monitored;
further, the remote sensing monitoring data analysis module collects the remote sensing monitoring data through the internet of things, and then analyzes and processes the remote sensing monitoring data, so as to obtain a corresponding remote sensing monitoring visual chart, which specifically comprises:
collecting remote sensing monitoring data generated by the middle remote sensing terminal at different time periods through the Internet of things, and forming a remote sensing monitoring data sequence by using all the collected remote sensing monitoring data according to the time sequence;
performing Kalman filtering processing and data-chart conversion processing on the remote sensing monitoring data sequence to obtain a corresponding remote sensing monitoring visual chart;
and the number of the first and second groups,
the dynamic display of the remote sensing monitoring visual chart by the visual display module specifically comprises the following steps:
and according to the forming time sequence of the remote sensing monitoring visual chart, dynamically displaying the remote sensing monitoring visual chart in a rolling mode.
Compared with the prior art, the method and the system for visualizing the middle remote sensing data of the internet of things determine the monitoring coverage area of the middle remote sensing terminal to the area to be monitored by acquiring the relative position information between the middle remote sensing terminal and the area to be monitored according to the relative position information, determine the remote sensing scanning monitoring mode of the middle remote sensing terminal to the area to be monitored according to the monitoring coverage area, thereby acquiring the remote sensing monitoring data of the area to be monitored, collect the remote sensing monitoring data through the internet of things, analyze and process the remote sensing monitoring data, thereby acquiring a corresponding remote sensing monitoring visual chart, and dynamically display the remote sensing monitoring visual chart; therefore, the method and the system for visualizing the remote sensing data of the middle platform of the Internet of things determine the monitoring coverage area of the middle platform remote sensing terminal to the area to be monitored according to the relative position information between the middle platform remote sensing terminal and the area to be monitored, then determine the remote sensing scanning monitoring mode of the middle platform remote sensing terminal to the area to be monitored to obtain the remote sensing monitoring data of the area to be monitored, analyze and convert the remote sensing monitoring data into a remote sensing monitoring visualization chart and dynamically display the remote sensing monitoring data, it can carry out proper remote sensing scanning operation aiming at different areas to be monitored so as to ensure that corresponding remote sensing monitoring data is comprehensively and accurately obtained, and the Internet of things is utilized to collect all remote sensing monitoring data for analysis to obtain a remote sensing monitoring visual chart, therefore, the reliability and the accuracy of remote sensing monitoring are improved, and the intuitiveness of remote sensing monitoring data is improved.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
The technical solution of the present invention is further described in detail by the accompanying drawings and embodiments.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic flow chart of a method for visualizing remote sensing data in the internet of things provided by the invention.
Fig. 2 is a schematic structural diagram of a system for visualizing remote sensing data in the internet of things provided by the invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. 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 schematic flow chart of a method for visualizing remote sensing data in the internet of things provided by the embodiment of the invention is shown. The method for visualizing the remote sensing data of the Internet of things comprises the following steps:
step S1, obtaining relative position information between the middle remote sensing terminal and the area to be monitored, and determining the monitoring coverage area of the middle remote sensing terminal to the area to be monitored according to the relative position information;
step S2, according to the monitoring coverage, determining the remote sensing scanning monitoring mode of the middle remote sensing terminal to the area to be monitored, thereby obtaining the remote sensing monitoring data about the area to be monitored;
and step S3, after the remote sensing monitoring data are collected through the Internet of things, the remote sensing monitoring data are analyzed and processed, so that a corresponding remote sensing monitoring visual chart is obtained and is dynamically displayed.
The beneficial effects of the above technical scheme are that: the method for visualizing the Internet of things middle platform remote sensing data comprises the steps of determining a monitoring coverage area of a middle platform remote sensing terminal to a to-be-monitored area according to relative position information between the middle platform remote sensing terminal and the to-be-monitored area, then determining a remote sensing scanning monitoring mode of the middle platform remote sensing terminal to the to-be-monitored area to obtain remote sensing monitoring data of the to-be-monitored area, analyzing and converting the remote sensing monitoring data into a remote sensing monitoring visual chart, and dynamically displaying the remote sensing monitoring visual chart.
Preferably, in step S1, the obtaining of the relative position information between the remote sensing terminal and the area to be monitored, and determining the monitoring coverage area of the remote sensing terminal on the area to be monitored according to the relative position information specifically includes:
s101, acquiring the relative distance and the relative angle pose between the middle remote sensing terminal and the area to be monitored, and taking the relative distance and the relative angle pose as the relative position information;
step S102, determining the maximum monitoring coverage area of the middle remote sensing terminal capable of carrying out remote sensing monitoring on the area to be monitored according to the relative distance and the relative angle pose;
step S103, obtaining the actual coverage area of the area to be monitored, comparing the maximum monitoring coverage area with the actual coverage area, if the maximum monitoring coverage area is larger than the actual coverage area, taking the maximum monitoring coverage area as the monitoring coverage area, otherwise, taking the actual coverage area as the monitoring coverage area.
The beneficial effects of the above technical scheme are that: the method is characterized in that the middle remote sensing terminal is limited in a certain area range on a remote sensing monitoring range, and when the phase distance and/or the relative angle pose between the middle remote sensing terminal and the area to be monitored are different, the middle remote sensing terminal can detect that the covered area has corresponding difference, and the maximum monitoring coverage area of the middle remote sensing terminal relative to the area to be monitored is determined by acquiring the relative distance and the relative angle pose between the middle remote sensing terminal and the area to be monitored, so that the remote sensing scanning model of the middle remote sensing terminal can be adjusted in a targeted manner, and the detection accuracy of the middle remote sensing terminal is improved.
Preferably, in step S2, determining, according to the monitoring coverage, a remote sensing scanning monitoring mode of the middle remote sensing terminal on the area to be monitored, so as to obtain remote sensing monitoring data about the area to be monitored specifically includes:
step S201, dividing the monitoring coverage into a plurality of subareas with the same area, and determining the remote sensing monitoring sensitivity of the middle remote sensing terminal to each subarea;
step S202, comparing the remote sensing monitoring sensitivity with a preset monitoring sensitivity threshold, if the remote sensing monitoring sensitivity is smaller than the preset monitoring sensitivity threshold, increasing the remote sensing monitoring duration of the middle remote sensing terminal to the subregion, otherwise, keeping the remote sensing monitoring duration of the middle remote sensing terminal to the subregion unchanged;
and step S203, according to the respective remote sensing monitoring duration of each sub-area, indicating the middle remote sensing terminal to perform corresponding remote sensing scanning monitoring on the area to be monitored, so as to obtain remote sensing monitoring data about the area to be monitored.
The beneficial effects of the above technical scheme are that: because the middle remote sensing terminal has corresponding remote sensing monitoring sensitivity difference to different subregions of the monitoring coverage range, the remote sensing monitoring duration time of the corresponding subregions is adjusted by comparing the remote sensing monitoring sensitivity of the different subregions with the preset monitoring sensitivity threshold value, the middle remote sensing terminal can be ensured to carry out remote sensing monitoring on the subregions with lower remote sensing monitoring sensitivity for enough time, and the monitoring accuracy of the middle remote sensing terminal to the whole monitoring coverage range and the reliability of the remote sensing monitoring data are improved.
Preferably, in step S3, after the remote sensing monitoring data is collected through the internet of things, the remote sensing monitoring data is analyzed and processed to obtain a corresponding remote sensing monitoring visual chart, and the dynamically displaying the remote sensing monitoring visual chart specifically includes:
step S301, collecting remote sensing monitoring data generated by the middle remote sensing terminal in different time periods through the Internet of things, and forming a remote sensing monitoring data sequence by all the collected remote sensing monitoring data according to the time sequence;
step S302, performing Kalman filtering processing and data-chart conversion processing on the remote sensing monitoring data sequence to obtain a corresponding remote sensing monitoring visual chart;
and step S303, dynamically displaying the remote sensing monitoring visual chart in a rolling mode according to the forming time sequence of the remote sensing monitoring visual chart.
The beneficial effects of the above technical scheme are that: the method has the advantages that all remote sensing monitoring data are collected through the Internet of things, comprehensiveness and timeliness of data collection can be guaranteed, in actual operation, Kalman filtering processing and data-chart conversion processing can be carried out on the remote sensing monitoring data sequence through preset data processing software, and accordingly the corresponding remote sensing monitoring visual chart is obtained, effectiveness and reliability of processing on the remote sensing monitoring data sequence can be improved, dynamic display of a rolling mode is carried out on the remote sensing monitoring visual chart according to the forming time sequence of the remote sensing monitoring visual chart, and accordingly the remote sensing monitoring visual chart can be guaranteed to be comprehensively displayed.
Fig. 2 is a schematic structural diagram of a system for visualizing remote sensing data in the internet of things according to an embodiment of the present invention. The system for visualizing the remote sensing data of the Internet of things comprises a monitoring coverage area determining module, a remote sensing monitoring data obtaining module, a remote sensing monitoring data analyzing module and a visual display module; wherein,
the monitoring coverage area determining module is used for acquiring relative position information between the central remote sensing terminal and the area to be monitored, and determining the monitoring coverage area of the central remote sensing terminal to the area to be monitored according to the relative position information;
the remote sensing monitoring data acquisition module is used for determining a remote sensing scanning monitoring mode of the middle remote sensing terminal to the area to be monitored according to the monitoring coverage range, so as to obtain remote sensing monitoring data about the area to be monitored;
the remote sensing monitoring data analysis module is used for collecting the remote sensing monitoring data through the Internet of things and then analyzing and processing the remote sensing monitoring data so as to obtain a corresponding remote sensing monitoring visual chart;
the visual display module is used for dynamically displaying the remote sensing monitoring visual chart.
The beneficial effects of the above technical scheme are that: the system for visualizing the Internet of things middle remote sensing data determines the monitoring coverage range of the middle remote sensing terminal to the area to be monitored according to the relative position information between the middle remote sensing terminal and the area to be monitored, then determines the remote sensing scanning monitoring mode of the middle remote sensing terminal to the area to be monitored to obtain the remote sensing monitoring data of the area to be monitored, analyzes and converts the remote sensing monitoring data into a remote sensing monitoring visual chart and dynamically displays the remote sensing monitoring visual chart, can perform proper remote sensing scanning operation aiming at different areas to be monitored to ensure that corresponding remote sensing monitoring data are comprehensively and accurately obtained, and collects all the remote sensing monitoring data by utilizing the Internet of things to analyze to obtain the remote sensing monitoring visual chart, so that the reliability and the accuracy of remote sensing monitoring are improved, and the intuitiveness of the remote sensing monitoring data is improved.
Preferably, the step of obtaining, by the monitoring coverage determining module, relative position information between the remote sensing terminal and the area to be monitored, and determining, according to the relative position information, a monitoring coverage of the remote sensing terminal to the area to be monitored specifically includes:
acquiring the relative distance and the relative angle pose between the middle remote sensing terminal and the area to be monitored, and taking the relative distance and the relative angle pose as the relative position information;
determining the maximum monitoring coverage area of the middle remote sensing terminal capable of carrying out remote sensing monitoring on the area to be monitored according to the relative distance and the relative angle pose;
and then acquiring the actual coverage area of the area to be monitored, comparing the maximum monitoring coverage area with the actual coverage area, if the maximum monitoring coverage area is larger than the actual coverage area, taking the maximum monitoring coverage area as the monitoring coverage area, and otherwise, taking the actual coverage area as the monitoring coverage area.
The beneficial effects of the above technical scheme are that: the method is characterized in that the middle remote sensing terminal is limited in a certain area range on a remote sensing monitoring range, and when the phase distance and/or the relative angle pose between the middle remote sensing terminal and the area to be monitored are different, the middle remote sensing terminal can detect that the covered area has corresponding difference, and the maximum monitoring coverage area of the middle remote sensing terminal relative to the area to be monitored is determined by acquiring the relative distance and the relative angle pose between the middle remote sensing terminal and the area to be monitored, so that the remote sensing scanning model of the middle remote sensing terminal can be adjusted in a targeted manner, and the detection accuracy of the middle remote sensing terminal is improved.
Preferably, the module for obtaining remote sensing monitoring data determines a remote sensing scanning monitoring mode of the middle remote sensing terminal to the area to be monitored according to the monitoring coverage, so as to obtain the remote sensing monitoring data about the area to be monitored specifically includes:
dividing the monitoring coverage into a plurality of subareas with the same area, and determining the remote sensing monitoring sensitivity of the middle remote sensing terminal to each subarea;
comparing the remote sensing monitoring sensitivity with a preset monitoring sensitivity threshold, if the remote sensing monitoring sensitivity is smaller than the preset monitoring sensitivity threshold, increasing the remote sensing monitoring duration of the middle remote sensing terminal to the subregion, otherwise, keeping the remote sensing monitoring duration of the middle remote sensing terminal to the subregion unchanged;
and finally, according to the respective remote sensing monitoring duration of each sub-region, indicating the middle remote sensing terminal to perform corresponding remote sensing scanning monitoring on the region to be monitored, so as to obtain remote sensing monitoring data about the region to be monitored.
The beneficial effects of the above technical scheme are that: because the middle remote sensing terminal has corresponding remote sensing monitoring sensitivity difference to different subregions of the monitoring coverage range, the remote sensing monitoring duration time of the corresponding subregions is adjusted by comparing the remote sensing monitoring sensitivity of the different subregions with the preset monitoring sensitivity threshold value, the middle remote sensing terminal can be ensured to carry out remote sensing monitoring on the subregions with lower remote sensing monitoring sensitivity for enough time, and the monitoring accuracy of the middle remote sensing terminal to the whole monitoring coverage range and the reliability of the remote sensing monitoring data are improved.
Preferably, the remote sensing monitoring data analysis module collects the remote sensing monitoring data through the internet of things, and then analyzes and processes the remote sensing monitoring data, so as to obtain the corresponding remote sensing monitoring visual chart, specifically comprising:
collecting remote sensing monitoring data generated by the middle remote sensing terminal at different time periods through the Internet of things, and forming a remote sensing monitoring data sequence by using all the collected remote sensing monitoring data according to the time sequence;
performing Kalman filtering processing and data-chart conversion processing on the remote sensing monitoring data sequence to obtain a corresponding remote sensing monitoring visual chart;
and the number of the first and second groups,
the dynamic display of the remote sensing monitoring visual chart by the visual display module specifically comprises the following steps:
and according to the forming time sequence of the remote sensing monitoring visual chart, dynamically displaying the remote sensing monitoring visual chart in a rolling mode.
The beneficial effects of the above technical scheme are that: the method has the advantages that all remote sensing monitoring data are collected through the Internet of things, comprehensiveness and timeliness of data collection can be guaranteed, in actual operation, Kalman filtering processing and data-chart conversion processing can be carried out on the remote sensing monitoring data sequence through preset data processing software, and accordingly the corresponding remote sensing monitoring visual chart is obtained, effectiveness and reliability of processing on the remote sensing monitoring data sequence can be improved, dynamic display of a rolling mode is carried out on the remote sensing monitoring visual chart according to the forming time sequence of the remote sensing monitoring visual chart, and accordingly the remote sensing monitoring visual chart can be guaranteed to be comprehensively displayed.
As can be seen from the content of the above embodiment, the method and system for visualizing the remote sensing data in the internet of things determine the monitoring coverage area of the remote sensing terminal on the area to be monitored by obtaining the relative position information between the remote sensing terminal and the area to be monitored according to the relative position information, and determine the remote sensing scanning monitoring mode of the remote sensing terminal on the area to be monitored according to the monitoring coverage area, thereby obtaining the remote sensing monitoring data about the area to be monitored, and after collecting the remote sensing monitoring data through the internet of things, analyzing and processing the remote sensing monitoring data, thereby obtaining a corresponding remote sensing monitoring visual chart, and dynamically displaying the remote sensing monitoring visual chart; therefore, the method and the system for visualizing the remote sensing data of the middle platform of the Internet of things determine the monitoring coverage area of the middle platform remote sensing terminal to the area to be monitored according to the relative position information between the middle platform remote sensing terminal and the area to be monitored, then determine the remote sensing scanning monitoring mode of the middle platform remote sensing terminal to the area to be monitored to obtain the remote sensing monitoring data of the area to be monitored, analyze and convert the remote sensing monitoring data into a remote sensing monitoring visualization chart and dynamically display the remote sensing monitoring data, it can carry out proper remote sensing scanning operation aiming at different areas to be monitored so as to ensure that corresponding remote sensing monitoring data is comprehensively and accurately obtained, and the Internet of things is utilized to collect all remote sensing monitoring data for analysis to obtain a remote sensing monitoring visual chart, therefore, the reliability and the accuracy of remote sensing monitoring are improved, and the intuitiveness of remote sensing monitoring data is improved.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (8)
1. The method for visualizing the remote sensing data of the Internet of things is characterized by comprising the following steps:
step S1, obtaining relative position information between the central remote sensing terminal and the area to be monitored, and determining the monitoring coverage area of the central remote sensing terminal to the area to be monitored according to the relative position information;
step S2, determining a remote sensing scanning monitoring mode of the middle remote sensing terminal to the area to be monitored according to the monitoring coverage range, thereby obtaining remote sensing monitoring data about the area to be monitored;
and step S3, after the remote sensing monitoring data are collected through the Internet of things, the remote sensing monitoring data are analyzed and processed, so that a corresponding remote sensing monitoring visual chart is obtained and is dynamically displayed.
2. The method for visualizing remote sensing data in the internet of things as claimed in claim 1, wherein: in step S1, the obtaining of the relative position information between the remote center sensing terminal and the area to be monitored, and determining the monitoring coverage area of the remote center sensing terminal on the area to be monitored according to the relative position information specifically includes:
s101, acquiring a relative distance and a relative angle pose between the middle remote sensing terminal and the area to be monitored, and taking the relative distance and the relative angle pose as the relative position information;
step S102, determining the maximum monitoring coverage area of the middle remote sensing terminal capable of carrying out remote sensing monitoring on the area to be monitored according to the relative distance and the relative angle pose;
step S103, obtaining the actual coverage area of the area to be monitored, comparing the maximum monitoring coverage area with the actual coverage area, if the maximum monitoring coverage area is larger than the actual coverage area, taking the maximum monitoring coverage area as the monitoring coverage area, otherwise, taking the actual coverage area as the monitoring coverage area.
3. The method for visualizing remote sensing data in the internet of things as claimed in claim 2, wherein: in step S2, determining, according to the monitoring coverage, a remote sensing scanning monitoring mode of the central remote sensing terminal on the area to be monitored, so as to obtain remote sensing monitoring data about the area to be monitored specifically includes:
step S201, dividing the monitoring coverage into a plurality of subregions with the same area, and determining the remote sensing monitoring sensitivity of the middle remote sensing terminal to each subregion;
step S202, comparing the remote sensing monitoring sensitivity with a preset monitoring sensitivity threshold, if the remote sensing monitoring sensitivity is smaller than the preset monitoring sensitivity threshold, increasing the remote sensing monitoring duration of the middle remote sensing terminal to the subregion, otherwise, keeping the remote sensing monitoring duration of the middle remote sensing terminal to the subregion unchanged;
step S203, according to the respective remote sensing monitoring duration of each sub-area, the middle remote sensing terminal is instructed to carry out corresponding remote sensing scanning monitoring on the area to be monitored, and therefore remote sensing monitoring data about the area to be monitored are obtained.
4. The method for visualizing remote sensing data in the internet of things as claimed in claim 3, wherein: in step S3, the step of collecting the remote sensing monitoring data through the internet of things and then analyzing and processing the remote sensing monitoring data to obtain a corresponding remote sensing monitoring visual chart, and dynamically displaying the remote sensing monitoring visual chart specifically includes:
step S301, collecting remote sensing monitoring data generated by the middle remote sensing terminal in different time periods through the Internet of things, and forming a remote sensing monitoring data sequence by all the collected remote sensing monitoring data according to the time sequence;
step S302, performing Kalman filtering processing and data-chart conversion processing on the remote sensing monitoring data sequence to obtain a corresponding remote sensing monitoring visual chart;
and S303, dynamically displaying the remote sensing monitoring visual chart in a rolling mode according to the forming time sequence of the remote sensing monitoring visual chart.
5. The system for visualizing the remote sensing data of the Internet of things is characterized by comprising a monitoring coverage area determining module, a remote sensing monitoring data obtaining module, a remote sensing monitoring data analyzing module and a visual display module; wherein,
the monitoring coverage area determining module is used for acquiring relative position information between the central remote sensing terminal and the area to be monitored, and determining the monitoring coverage area of the central remote sensing terminal to the area to be monitored according to the relative position information;
the remote sensing monitoring data acquisition module is used for determining a remote sensing scanning monitoring mode of the middle remote sensing terminal on the area to be monitored according to the monitoring coverage range, so as to obtain remote sensing monitoring data about the area to be monitored;
the remote sensing monitoring data analysis module is used for collecting the remote sensing monitoring data through the Internet of things and then analyzing and processing the remote sensing monitoring data so as to obtain a corresponding remote sensing monitoring visual chart;
the visual display module is used for dynamically displaying the remote sensing monitoring visual chart.
6. The system for visualizing remote sensing data in the internet of things as claimed in claim 5, wherein: the monitoring coverage area determining module obtains relative position information between the central remote sensing terminal and the area to be monitored, and determines the monitoring coverage area of the central remote sensing terminal to the area to be monitored according to the relative position information, wherein the step of determining the monitoring coverage area of the central remote sensing terminal to the area to be monitored specifically comprises the following steps:
acquiring the relative distance and the relative angle pose between the middle remote sensing terminal and the area to be monitored, and taking the relative distance and the relative angle pose as the relative position information;
determining the maximum monitoring coverage area of the middle remote sensing terminal capable of carrying out remote sensing monitoring on the area to be monitored according to the relative distance and the relative angle pose;
and then acquiring the actual coverage area of the area to be monitored, comparing the maximum monitoring coverage area with the actual coverage area, if the maximum monitoring coverage area is larger than the actual coverage area, taking the maximum monitoring coverage area as the monitoring coverage area, and otherwise, taking the actual coverage area as the monitoring coverage area.
7. The system for visualizing remote sensing data in the internet of things as claimed in claim 5, wherein: the remote sensing monitoring data acquisition module determines a remote sensing scanning monitoring mode of the middle remote sensing terminal to the area to be monitored according to the monitoring coverage range, so that the acquisition of the remote sensing monitoring data of the area to be monitored specifically comprises the following steps:
dividing the monitoring coverage area into a plurality of subregions with the same area, and determining the remote sensing monitoring sensitivity of the middle remote sensing terminal to each subregion;
comparing the remote sensing monitoring sensitivity with a preset monitoring sensitivity threshold, if the remote sensing monitoring sensitivity is smaller than the preset monitoring sensitivity threshold, increasing the remote sensing monitoring duration of the middle remote sensing terminal on the subregion, otherwise, keeping the remote sensing monitoring duration of the middle remote sensing terminal on the subregion unchanged;
and finally, according to the respective remote sensing monitoring duration of each sub-region, indicating the middle remote sensing terminal to perform corresponding remote sensing scanning monitoring on the region to be monitored, so as to obtain remote sensing monitoring data about the region to be monitored.
8. The system for visualizing remote sensing data in the internet of things as claimed in claim 5, wherein: the remote sensing monitoring data analysis module collects the remote sensing monitoring data through the internet of things and then analyzes and processes the remote sensing monitoring data, so as to obtain a corresponding remote sensing monitoring visual chart, and the method specifically comprises the following steps:
collecting remote sensing monitoring data generated by the middle remote sensing terminal at different time periods through the Internet of things, and forming a remote sensing monitoring data sequence by using all the collected remote sensing monitoring data according to the time sequence;
performing Kalman filtering processing and data-chart conversion processing on the remote sensing monitoring data sequence to obtain a corresponding remote sensing monitoring visual chart;
and the number of the first and second groups,
the dynamic display of the remote sensing monitoring visual chart by the visual display module specifically comprises the following steps:
and according to the forming time sequence of the remote sensing monitoring visual chart, dynamically displaying the remote sensing monitoring visual chart in a rolling mode.
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