CN114882025B - Geographic mapping data acquisition and processing system based on big data - Google Patents
Geographic mapping data acquisition and processing system based on big data Download PDFInfo
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Abstract
The invention belongs to the field of geographic mapping, relates to a data processing technology, and is used for solving the problem that the existing geographic mapping data acquisition and processing system does not have the function of monitoring the working state of data acquisition equipment; the system comprises a data acquisition module, a data processing module and a comparison analysis module, wherein the data acquisition module, the data processing module and the comparison analysis module are sequentially connected, the data processing module is used for processing a received image and obtaining a coverage ratio, and the image is marked as a single image or a rich image according to the numerical value of the coverage ratio, so that whether the data acquisition module fails or not is judged; the invention can monitor the working state of the data acquisition module through the data processing module, and can carry out early warning in time when the data acquisition module has a fault or a single chip fault through processing the acquired image.
Description
Technical Field
The invention belongs to the field of geographical mapping, relates to a data processing technology, and particularly relates to a geographical mapping data acquisition and processing system based on big data.
Background
Geographic information is information used for describing the spatial position and distribution condition of various targets in the real world, is one of the most important and basic information resources of human beings, and in human social practice, people usually adopt a measurement method to acquire the geographic information in reality; in geological exploration, mineral development, water conservancy, traffic and other constructions, control measurement, mine measurement, route measurement and topographic map drawing are required to be carried out for geological survey and various building design and construction, and due to the fact that the terrain and the regional environment change along with the change of time, the timely updating of mapping data is very important.
The existing geographic mapping data acquisition and processing system does not have the function of monitoring the working state of data acquisition equipment, and if the data acquisition equipment fails, the data acquisition equipment can be inefficiently acquired if not processed in time, so that the progress of geographic mapping analysis is influenced, and data needs to be acquired again, which wastes time and labor.
In view of the above technical problems, the present application proposes a solution.
Disclosure of Invention
The invention aims to provide a geographic mapping data acquisition and processing system based on big data, which is used for solving the problem that the existing geographic mapping data acquisition and processing system does not have the function of monitoring the working state of data acquisition equipment;
the technical problems to be solved by the invention are as follows: how to provide a geographic mapping data acquisition processing system which can monitor the working state of a data acquisition device.
The purpose of the invention can be realized by the following technical scheme:
a geographic mapping data acquisition and processing system based on big data comprises a data acquisition module, a data processing module and a comparison analysis module, wherein the data acquisition module, the data processing module and the comparison analysis module are sequentially connected;
the data acquisition module comprises a camera, the camera is arranged on the unmanned aerial vehicle, and the camera comprises a positive film and four oblique films; the positive film is used for shooting at an angle vertical to the ground to obtain a group of images vertically downward, and the four oblique films respectively point to four directions of south, east, west and north and are used for shooting at an inclination angle to obtain four groups of oblique images; sending the group of vertical images and the four groups of oblique images acquired by the data acquisition module to the data processing module;
the data processing module is used for processing the received image, marking the received image as an analysis object, amplifying the analysis object into a pixel grid image, carrying out gray processing on the pixel grid image to obtain gray values of the pixel grid image, dividing a gray range from zero to two hundred and fifty-five into L1 gray intervals, wherein the gray values of each gray interval are the same in number and gradually increase one by one, L1 is a constant in number, the value of L1 is set by a manager, the pixel grids of the pixel grid image are distributed into the gray intervals according to the gray values to form a pixel set, the pixel set corresponds to the gray intervals one by one, and the element number of the pixel set is the number of the pixel grids in the pixel set; marking a pixel set with the element number not being zero as an effective set, marking the ratio of the number of the effective sets to the number of the gray intervals as a coverage ratio, comparing the coverage ratio with a coverage threshold, marking the image as a single image or a rich image according to a comparison result, and judging whether the data acquisition module has a fault;
the comparison analysis module is used for performing comparison analysis on the target area.
As a preferred embodiment of the present invention, the result of comparing the coverage ratio with the coverage threshold includes: if the coverage ratio is less than or equal to the coverage threshold value, marking the corresponding analysis object as a single image; if the coverage ratio is larger than the coverage threshold value, marking the corresponding analysis object as a rich image; and acquiring images transmitted by the positive film and the oblique film at the same time, if the images transmitted by the positive film and the oblique film are all single images, judging that the data acquisition module has a fault, generating an acquisition fault signal and transmitting the acquisition fault signal to a mobile phone terminal of a manager.
As a preferred embodiment of the present invention, the specific process of determining whether the data acquisition module has a fault includes: if the images transmitted by the positive film and the oblique film are all single images, judging that the data acquisition module has a fault, generating an acquisition fault signal and transmitting the acquisition fault signal to a mobile phone terminal of a manager;
setting an acquisition time period, marking the ratio of the number of single images received by the data processing module in the acquisition time period to the number of rich images as a single ratio, and comparing the single ratio with a single threshold: if the single ratio is smaller than the single threshold value, judging that the data acquisition module works normally; if the single ratio is larger than or equal to the single threshold value, judging that the data acquisition module works abnormally, and sending a single fault signal to a mobile phone terminal of a manager by the data processing module; the single threshold is a numerical constant for measuring whether the working state of the data acquisition module is normal or not, and the numerical value of the single threshold is set by a manager.
As a preferred embodiment of the present invention, the specific process of the alignment analysis module performing the alignment analysis on the target region includes: dividing a target area into monitoring areas i, i =1, 2, …, n, marking all images shot in the monitoring area i as monitoring images, selecting an active set which is common to all the monitoring images in one monitoring area i, merging the active set and marking the active set as a common set, wherein the common set is a set which is formed by active sets which are common to all the monitoring images in the monitoring area i, namely a subset in the common set is an active set, the active set exists in all the monitoring images in the monitoring area i, sequencing the monitoring images in the monitoring areas according to the sequence of the total number of elements of the monitoring images in the common set from large to small, acquiring the historical images of the monitoring area i when data acquisition is carried out at the last time in a database, sequencing the historical images according to the same mode, and matching the sequenced monitoring images with the historical images, and marking the matched monitoring image and historical image as a comparison set, and marking an effective set shared by the monitoring image and the historical image in the comparison set as a comparison set.
As a preferred embodiment of the present invention, an absolute value of a difference between the number of subsets of the monitored image in the comparison set and the number of subsets of the historical image in the comparison set is marked as a comparison difference, an average value of the comparison differences of the comparison sets is marked as a comparison coefficient, a separation set is established for the comparison differences of the comparison sets, and variance calculation is performed on the separation set to obtain a comparison representation value of the separation set; and comparing the comparison coefficient and the comparison representation value of the comparison set with a comparison threshold and a comparison representation threshold respectively, and judging the environment updating condition in the monitored area according to the comparison result.
As a preferred embodiment of the present invention, the specific process of comparing the comparison coefficient and the comparison performance value of the comparison set with the comparison threshold and the comparison performance threshold respectively includes:
if the comparison coefficient is smaller than the comparison threshold and the comparison representation value is smaller than the comparison representation threshold, judging that the environment of the monitoring area is not updated, and sending a maintenance signal to a mobile phone terminal of a manager by the comparison analysis module;
if the comparison coefficient is smaller than the comparison threshold value and the comparison representation value is larger than or equal to the comparison representation value, judging that the environment part of the monitoring area is updated, and sending a part of updating signals to a mobile phone terminal of a manager by a comparison analysis module;
if the comparison coefficient is greater than or equal to the comparison threshold and the comparison representation value is smaller than the comparison representation threshold, judging the overall fine adjustment of the environment of the monitoring area, and sending an overall fine adjustment signal to a mobile phone terminal of a manager by the comparison analysis module;
if the comparison coefficient is greater than or equal to the comparison threshold and the comparison representation value is greater than or equal to the comparison representation threshold, judging that the environment of the monitoring area is updated integrally, and sending an integral updating signal to a mobile phone terminal of a manager by a comparison analysis module; the comparison threshold and the comparison performance threshold are both constant values, and the values of the comparison threshold and the comparison performance threshold are set by a manager.
As a preferred embodiment of the invention, the working method of the big data based geographic mapping data acquisition processing system comprises the following steps:
the method comprises the following steps: before surveying and mapping data acquisition, placing the unmanned aerial vehicle in a target area for target area image acquisition;
step two: the data acquisition module sends a group of vertical images and four groups of oblique images acquired by the data acquisition module to the data processing module;
step three: the data processing module processes the received image to obtain a coverage ratio and a single ratio, and judges whether the data acquisition module has a fault according to the numerical value of the coverage ratio and the single ratio;
step four: the comparison analysis module compares and analyzes the target area to obtain a comparison coefficient and a comparison expression value, and judges the environment adjustment condition of the monitored area according to the comparison coefficient and the comparison expression value.
The invention has the following beneficial effects:
1. the combination of the positive plate and the oblique plate can provide a better visual angle for observing the side surface of the building, and the characteristic just meets the requirement of generating the surface texture of the building;
2. the data processing module can monitor the working state of the data acquisition module, and the acquired images are processed, so that early warning is timely carried out when the data acquisition module fails, the phenomenon of invalid acquisition is prevented, and meanwhile, the data processing module can carry out targeted maintenance according to the type of the acquisition failure, and the equipment maintenance efficiency is accelerated;
3. the combination monitoring image is compared with the historical image through the comparison analysis module, the environmental change condition of the target area is judged through the comparison analysis result, and meanwhile the whole environmental change and the local environmental change of the target area are synchronously monitored.
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 block diagram of a system according to a first embodiment of the present invention;
FIG. 2 is a flowchart of a method according to a second embodiment of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood 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.
Geographic information is information used for describing the spatial position and distribution condition of various targets in the real world, is one of the most important and basic information resources of human beings, and in human social practice, people usually adopt a measurement method to acquire the geographic information in reality; in geological exploration, mineral development, water conservancy, traffic and other constructions, control measurement, mine measurement, route measurement and topographic map drawing are required for geological survey and various building design and construction, and the timely update of the mapping data is particularly important because the terrain and the regional environment change along with the change of time.
Example one
As shown in fig. 1, a geographic mapping data acquisition and processing system based on big data includes a data acquisition module, a data processing module, and a comparison analysis module, which are connected in sequence.
Before surveying and mapping data acquisition, placing an unmanned aerial vehicle in a target area and starting a data acquisition module to acquire images of the target area according to the shooting position and the shooting parameters of the images of the target area stored in an image database, namely shooting the images according to the set shooting parameters when the unmanned aerial vehicle reaches the target area, wherein the shooting parameters comprise the inclination angles of four oblique sheets; the shooting position and the shooting parameters of the target area image are set by a manager; the data acquisition module comprises a camera, the camera is arranged on the unmanned aerial vehicle, the camera comprises a positive film and four oblique films, and the positive film and the four oblique films are combined for use, so that in the process of mapping geographic information, compared with a vertical image, the oblique image has remarkable advantages because the oblique image can provide a better visual angle for observing the side surface of a building; the positive film is used for shooting at an angle vertical to the ground to obtain a group of images vertically downward, and the four oblique films respectively point to four directions of south, east, west and north and are used for shooting at an oblique angle to obtain four groups of oblique images; sending a group of vertical images and four groups of oblique images acquired by a data acquisition module to a data processing module, and processing the received images by the data processing module; the combined use of the positive plate and the oblique plate can provide a better visual angle for observing the side surface of the building, and the characteristic just meets the requirement of generating the texture on the surface of the building.
The process of processing the image by the data processing module comprises the following steps: marking the received image as an analysis object, amplifying the analysis object into a pixel grid image, and carrying out gray processing on the pixel grid image to obtain the gray value of the pixel grid image, wherein the black and white image only has two colors, namely black and white, in the field of computer image, and the gray image also has a plurality of levels of color depth between black and white; dividing a gray scale range from zero to two hundred and fifty five into L1 gray scale intervals, wherein the gray scale values of each gray scale interval are the same in number and gradually increased one by one, L1 is a constant in number, and the value of L1 is set by a manager; for example, if the administrator sets the value of L1 to be fifty one, the number of gray scale intervals is fifty one, the gray scale value in the first gray scale interval is one to five, the gray scale value in the second gray scale interval is six to ten, and so on, the pixel cells of the pixel cell image are allocated to the gray scale intervals according to the gray scale value to form a pixel set, the pixel set corresponds to the gray scale intervals one to one, that is, when the gray scale value of the pixel cell is one, the corresponding pixel cell is listed in the first pixel set; the number of elements of the pixel set is the number of pixel grids in the pixel set; marking the pixel set with the element number not being zero as an effective set, namely when the number of pixel grids in the pixel set is zero, the corresponding pixel set cannot be marked as the effective set, marking the ratio of the number of the effective sets to the number of the gray intervals as a coverage ratio, and comparing the coverage ratio with a coverage threshold: if the coverage ratio is less than or equal to the coverage threshold value, marking the corresponding analysis object as a single image; if the coverage ratio is larger than the coverage threshold value, marking the corresponding analysis object as a rich image; acquiring images transmitted by a positive film and an oblique film at the same time, if the images transmitted by the positive film and the oblique film are all single images, judging that the data acquisition module fails, generating an acquisition failure signal and sending the acquisition failure signal to a mobile phone terminal of a manager, wherein the images transmitted by the positive film and the oblique film are all single images, which indicates that pixel lattices of the images shot by the positive film and the oblique film are excessively concentrated in a few pixel sets, and the possibility of the data acquisition module failing is very high at the moment, so that the reasons for the data acquisition module failing can be line failure, the camera is shielded and the like; the coverage threshold is a numerical constant for marking the analysis object as a single image or a rich image, and the numerical value of the coverage threshold is set by a manager; setting an acquisition time period, marking the ratio of the number of single images received by the data processing module in the acquisition time period to the number of rich images as a single ratio, and comparing the single ratio with a single threshold: if the single ratio is smaller than the single threshold value, judging that the data acquisition module works normally; if the single ratio is larger than or equal to the single threshold value, judging that the data acquisition module works abnormally, sending a single fault signal to a mobile phone terminal of a manager by the data processing module, wherein the single ratio is larger than or equal to the single threshold value and represents that the number of single images received in the acquisition time period is excessive, and the possibility of positive or oblique sheet faults is extremely high at the moment, so that the data acquisition module is judged to work abnormally, and the single fault signal represents that one or more of the positive and oblique sheets are abnormal in operation and the positive or oblique sheets of the camera need to be overhauled; the single threshold is a numerical constant for measuring whether the working state of the data acquisition module is normal or not, and the numerical value of the single threshold is set by a manager; the working state of the data acquisition module can be monitored through the data processing module, the acquired images are processed, early warning is timely carried out when the data acquisition module breaks down, the phenomenon of invalid acquisition is prevented, meanwhile, the data acquisition module can be maintained and processed according to the type pertinence of acquisition faults, and the equipment maintenance efficiency is accelerated.
The comparison analysis module is used for comparing and analyzing the target area: dividing a target area into monitoring areas i, i =1, 2, …, n, marking all images shot in the monitoring area i as monitoring images, selecting an active set shared by all the monitoring images in one monitoring area i, marking the active set as a shared set, wherein the shared set is a set formed by active sets shared by all the monitoring images in the monitoring area i, namely the subsets in the shared set are the active sets, the active sets exist in all the monitoring images in the monitoring area i, sequencing the monitoring images in the monitoring areas according to the sequence of the total number of the elements of the monitoring images in the shared set from large to small, and the total number of the elements of the shared set is the sum of the number of the elements of all the subsets of the monitoring images in the shared set; acquiring historical images of a monitoring area i when data acquisition is carried out on the database last time, sequencing the historical images in the same mode, matching the sequenced monitoring images with the historical images one by one, marking the matched monitoring images and the historical images as comparison groups, and marking pixel sets shared by the monitoring images and the historical images in the comparison groups as comparison sets; marking the absolute value of the difference value between the number of the subsets of the monitored image in the comparison set and the number of the subsets of the historical image in the comparison set as a comparison difference, marking the average value of the comparison differences of a plurality of comparison sets as a comparison coefficient, establishing a separation set from the comparison differences of the plurality of comparison sets, and performing variance calculation on the separation set to obtain a comparison representation value of the separation set; comparing the comparison coefficient and the comparison representation value of the comparison set with a comparison threshold value and a comparison representation threshold value respectively: if the comparison coefficient is smaller than the comparison threshold and the comparison representation value is smaller than the comparison representation threshold, judging that the environment of the monitoring area is not updated, and sending a maintenance signal to a mobile phone terminal of a manager by the comparison analysis module; if the comparison coefficient is smaller than the comparison threshold value and the comparison representation value is larger than or equal to the comparison representation value, judging that the environment part of the monitoring area is updated, and sending a part of updating signals to a mobile phone terminal of a manager by a comparison analysis module; if the comparison coefficient is greater than or equal to the comparison threshold and the comparison representation value is smaller than the comparison representation threshold, judging the overall fine adjustment of the environment of the monitoring area, and sending an overall fine adjustment signal to a mobile phone terminal of a manager by the comparison analysis module; if the comparison coefficient is greater than or equal to the comparison threshold and the comparison representation value is greater than or equal to the comparison representation threshold, judging that the environment of the monitoring area is updated integrally, and sending an integral updating signal to a mobile phone terminal of a manager by a comparison analysis module; comparing the combined monitoring image with the historical image through a comparison analysis module, judging the environmental change condition of the target area through a comparison analysis result, and synchronously monitoring the overall environmental change and the local environmental change of the target area; the comparison threshold and the comparison performance threshold are both constant values, and the values of the comparison threshold and the comparison performance threshold are set by a manager.
Example two
As shown in fig. 2, a method for collecting and processing geographic mapping data based on big data includes the following steps:
the method comprises the following steps: before surveying and mapping data acquisition, placing the unmanned aerial vehicle in a target area for target area image acquisition;
step two: the data acquisition module sends a group of vertical images and four groups of oblique images acquired by the data acquisition module to the data processing module;
step three: the data processing module processes the received image to obtain a coverage ratio and a single ratio, judges whether the data acquisition module has a fault according to the numerical value of the coverage ratio and the single ratio, and carries out targeted maintenance processing according to the type of the acquisition fault;
step four: the comparison analysis module compares and analyzes the target area to obtain a comparison coefficient and a comparison expression value, judges the environment adjustment condition of the monitored area through the comparison coefficient and the comparison expression value, and synchronously monitors the whole environment change and the local environment change of the target area.
The foregoing is merely exemplary and illustrative of the present invention and various modifications, additions and substitutions may be made by those skilled in the art to the specific embodiments described without departing from the scope of the invention as defined in the following claims.
In the description herein, references to the description of "one embodiment," "an example," "a specific example," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise forms disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Claims (7)
1. A geographic mapping data acquisition and processing system based on big data comprises a data acquisition module, a data processing module and a comparison analysis module, and is characterized in that the data acquisition module, the data processing module and the comparison analysis module are sequentially connected;
the data acquisition module comprises a camera, the camera is arranged on the unmanned aerial vehicle, and the camera comprises a positive film and four oblique films; the positive film is used for shooting at an angle vertical to the ground to obtain a group of images vertically downward, and the four oblique films respectively point to four directions of south, east, west and north and are used for shooting at an oblique angle to obtain four groups of oblique images; sending the group of vertical images and the four groups of oblique images acquired by the data acquisition module to the data processing module;
the data processing module is used for processing the received image, marking the received image as an analysis object, amplifying the analysis object into a pixel grid image, carrying out gray processing on the pixel grid image to obtain gray values of the pixel grid image, dividing a gray range from zero to two hundred and fifty-five into L1 gray intervals, wherein the gray values of each gray interval are the same in number and gradually increase one by one, L1 is a constant in number, the value of L1 is set by a manager, the pixel grids of the pixel grid image are distributed into the gray intervals according to the gray values to form a pixel set, the pixel set corresponds to the gray intervals one by one, and the element number of the pixel set is the number of the pixel grids in the pixel set; marking a pixel set with the element number not being zero as an effective set, marking the ratio of the number of the effective sets to the number of the gray intervals as a coverage ratio, comparing the coverage ratio with a coverage threshold, marking the image as a single image or a rich image according to a comparison result, and judging whether the data acquisition module has a fault;
the comparison analysis module is used for comparing and analyzing the target area.
2. The big-data based geographical mapping data acquisition processing system of claim 1, wherein the comparison of the coverage ratio to the coverage threshold comprises: if the coverage ratio is less than or equal to the coverage threshold value, marking the corresponding analysis object as a single image; if the coverage ratio is larger than the coverage threshold value, marking the corresponding analysis object as a rich image; and acquiring images transmitted by the positive film and the oblique film at the same time, if the images transmitted by the positive film and the oblique film are all single images, judging that the data acquisition module has a fault, generating an acquisition fault signal and transmitting the acquisition fault signal to a mobile phone terminal of a manager.
3. The big-data-based geographic mapping data acquisition and processing system according to claim 1, wherein the specific process of determining whether the data acquisition module is faulty comprises: if the images transmitted by the positive film and the oblique film are all single images, judging that the data acquisition module has a fault, generating an acquisition fault signal and transmitting the acquisition fault signal to a mobile phone terminal of a manager;
setting an acquisition time period, marking the ratio of the number of single images received by the data processing module in the acquisition time period to the number of rich images as a single ratio, and comparing the single ratio with a single threshold: if the single ratio is smaller than the single threshold value, judging that the data acquisition module works normally; if the single ratio is larger than or equal to the single threshold value, judging that the data acquisition module works abnormally, and sending a single fault signal to a mobile phone terminal of a manager by the data processing module; the single threshold is a numerical constant for measuring whether the working state of the data acquisition module is normal or not, and the numerical value of the single threshold is set by a manager.
4. The big-data-based geographic mapping data acquisition and processing system according to claim 3, wherein the specific process of the comparison analysis module for performing comparison analysis on the target area comprises: dividing a target area into monitoring areas i, i =1, 2, …, n, marking all images shot in the monitoring area i as monitoring images, selecting an active set which is common to all the monitoring images in one monitoring area i, merging the active set and marking the active set as a common set, wherein the common set is a set which is formed by active sets which are common to all the monitoring images in the monitoring area i, namely a subset in the common set is an active set, the active set exists in all the monitoring images in the monitoring area i, sequencing the monitoring images in the monitoring areas according to the sequence of the total number of elements of the monitoring images in the common set from large to small, acquiring the historical images of the monitoring area i when data acquisition is carried out at the last time in a database, sequencing the historical images according to the same mode, and matching the sequenced monitoring images with the historical images, and marking the matched monitoring image and historical image as a comparison set, and marking an effective set shared by the monitoring image and the historical image in the comparison set as a comparison set.
5. The big-data-based geographic mapping data acquisition and processing system according to claim 4, wherein an absolute value of a difference between the number of subsets of the monitored images in the comparison set and the number of subsets of the historical images in the comparison set is marked as a comparison difference, an average value of the comparison differences of the comparison sets is marked as a comparison coefficient, the comparison differences of the comparison sets are established into a separation set, and variance calculation is performed on the separation set to obtain a comparison representation value of the separation set; comparing the comparison coefficient and the comparison representation value of the comparison set with a comparison threshold and a comparison representation threshold respectively, and judging the environment updating condition in the monitoring area according to the comparison result; the comparison threshold and the comparison performance threshold are both numerical constants, and the numerical values of the comparison threshold and the comparison performance threshold are set by a manager.
6. The big-data-based geographic mapping data acquisition and processing system according to claim 5, wherein the specific process of comparing the comparison coefficient and the comparison performance value of the comparison set with the comparison threshold and the comparison performance threshold respectively comprises:
if the comparison coefficient is smaller than the comparison threshold and the comparison representation value is smaller than the comparison representation threshold, judging that the environment of the monitoring area is not updated, and sending a maintenance signal to a mobile phone terminal of a manager by the comparison analysis module;
if the comparison coefficient is smaller than the comparison threshold value and the comparison representation value is larger than or equal to the comparison representation value, judging that the environment part of the monitoring area is updated, and sending a part of updating signals to a mobile phone terminal of a manager by a comparison analysis module;
if the comparison coefficient is greater than or equal to the comparison threshold and the comparison representation value is smaller than the comparison representation threshold, judging the overall fine adjustment of the environment of the monitoring area, and sending an overall fine adjustment signal to a mobile phone terminal of a manager by the comparison analysis module;
and if the comparison coefficient is greater than or equal to the comparison threshold and the comparison representation value is greater than or equal to the comparison representation threshold, judging that the environment of the monitoring area is updated integrally, and sending an integral updating signal to a mobile phone terminal of a manager by the comparison analysis module.
7. A big data based geographical mapping data collection and processing system according to any one of claims 1-6, wherein the big data based geographical mapping data collection and processing system operating method comprises the following steps:
the method comprises the following steps: before surveying and mapping data acquisition, placing the unmanned aerial vehicle in a target area for target area image acquisition;
step two: the data acquisition module sends a group of vertical images and four groups of oblique images acquired by the data acquisition module to the data processing module;
step three: the data processing module processes the received image to obtain a coverage ratio and a single ratio, and judges whether the data acquisition module has a fault according to the numerical value of the coverage ratio and the single ratio;
step four: the comparison analysis module compares and analyzes the target area to obtain a comparison coefficient and a comparison expression value, and judges the environmental adjustment condition of the monitored area according to the comparison coefficient and the comparison expression value.
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