CN117875642A - Land management data acquisition and updating method and device - Google Patents
Land management data acquisition and updating method and device Download PDFInfo
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Abstract
The invention discloses a method and a device for collecting and updating land management data, belonging to the technical field of land monitoring, and comprising the following steps: step one, collecting land data, wherein a worker carries out GPS positioning starting point marking on image data collected by an unmanned aerial vehicle through a login execution end so as to facilitate positioning accuracy in a subsequent map model updating process; step two, planning a measurement task, wherein a task end or a cloud server ensures the working efficiency of the staff and the processing efficiency in the occurrence of sudden accidents by measuring the distribution of the working years of the staff corresponding to the task and each idle execution end, so that the data acquisition and updating efficiency is improved; and thirdly, processing the image data, wherein the sequence of the task end or the cloud server, which is based on the reverse sequence of the measurement tasks, is used as the uploading sequence of the image data and the processing sequence of the 3D modeling so as to ensure the smoothness and the stability in the data transmission process.
Description
Technical Field
The invention belongs to the technical field of land monitoring, and particularly relates to a land management data acquisition and updating method and device.
Background
The land monitoring can provide accurate land utilization change conditions, and is convenient for updating and comparing analysis of land utilization data in time so as to compile land utilization change diagrams and the like. The performance of land monitoring can provide adequate data support in the aspects of land utilization dynamic change prediction, urban land planning, crop yield prediction, reasonable land utilization organization and the like.
In the process of updating the land information for land monitoring, the existing updating method mainly comprises field manual measurement and remote sensing data, wherein the field manual measurement usually needs a plurality of measuring tools or drawings for substantial measurement, the technical requirements on operators are high, the measuring period is long, and the measuring precision is low; the satellite telesense is easily influenced by external factors such as weather, has higher cost, poor real-time performance and no universality; with the continuous development of unmanned aerial vehicle 3D modeling technology, the unmanned aerial vehicle 3D modeling is adopted to provide a new thought for the real-time updating of land information.
However, the unmanned aerial vehicle 3D modeling technology often needs to combine and process the image data of the unmanned aerial vehicle to obtain land information, and the mobile terminal is generally adopted to upload the image data to the internet due to the limitation of the running memory of the mobile terminal and the power limitation of the mobile terminal, so that the land information is updated after 3D modeling is performed; the mobile terminal has hysteresis in the data transmission process, so that the problem that the updating is repeated or the arrangement of personnel is unreasonable can occur in the working process of the staff, thereby reducing the efficiency of land data acquisition.
Disclosure of Invention
The invention aims to provide a method and a device for collecting and updating land management data, which can improve the data collecting and updating efficiency and ensure the smoothness and the stability in the data transmission process.
In order to achieve the above object, the technical scheme of the present invention is as follows:
a land management data acquisition and update method comprises the following steps: step one, collecting land data, wherein a worker acquires a measurement task or a map model of a current area through a login execution end; the execution end is connected with the unmanned aerial vehicle to execute a measurement task, the execution end uploads image data acquired by the unmanned aerial vehicle to the task end or a cloud server to be stored, and the execution end performs GPS positioning starting point marking on the image data based on GPS positioning information of the execution end;
step two, planning a measurement task, wherein a manager obtains the division of the measurement task on a current area through a login task end or a cloud server to obtain a measurement work diagram, and marks the position of the manager on the measurement work diagram through the task end or the cloud server by taking the position of the manager as a central point;
the method comprises the steps that a task end or a cloud server calculates the distance between the position corresponding to each measurement task in a measurement work diagram and a central point, the distances of the measurement tasks are sequenced from far to near, the sequences are A1, A2 and A3.
Sequencing the working years of the staff corresponding to the idle execution end according to the sequence from big to small, wherein the sequence is B1, B2 and B3.
The task end or the cloud server calculates the phase difference distance between the GPS positioning information of the idle execution end corresponding to Bn and the position corresponding to each An in the measurement work diagram based on An or Bn in the far task database or the near task database respectively, compares the phase difference distance with a set third threshold value, terminates if the phase difference distance is larger than the third threshold value, and sends the measurement task corresponding to An to the idle execution end corresponding to Bn if the phase difference distance is smaller than the third threshold value;
and thirdly, processing and classifying the image data, wherein when the execution end uploads the image data corresponding to the measurement task, the task end or the cloud server takes the reverse order of the measurement task as the uploading order of the image data, and the cloud server carries out 3D modeling on the corresponding image data based on the reverse order of the measurement task, and updates the image data after 3D modeling into the map model.
After the scheme is adopted, the following beneficial effects are realized:
in the process of collecting data by a worker, the execution end carries out GPS positioning starting point marking on the image data so as to facilitate the positioning accuracy in the process of updating the map model later.
The measuring tasks of the current area are divided by taking the positions of management staff as the center, the staff with rich operation experience in the working period are used for executing remote tasks, the staff with short working period and inexperienced working period are used for executing near tasks, different management staff can conveniently guide the staff with short working period and inexperienced working period, the working efficiency of the staff and the processing efficiency in the emergency are guaranteed, and therefore the data acquisition and updating efficiency is improved.
The task end or the cloud server is used as the uploading sequence of the image data based on the reverse sequence of the measurement tasks, and the measurement tasks are sequenced from far to near, so that the parallel transmission channels of the network can be reduced, the network congestion is reduced, and the smoothness and the stability in the data transmission process are ensured.
Meanwhile, the cloud server carries out 3D modeling on the corresponding image data based on the reverse sequence of the measurement tasks, so that the land data of adjacent plots in the modeling process are convenient to merge, the integrity of the map model is convenient to guarantee, incomplete display of the map model is prevented from being influenced due to the loss of local data, and the map model is convenient for management staff to check and confirm.
Further, the execution end, the task end and the cloud server are connected through a GPRS network.
The beneficial effects are that: the GPRS network can receive various types of data and format conversion, so that the use requirement is met.
Further, when the execution end uploads the image data corresponding to the measurement task, the execution end also compares the distance corresponding to the measurement task in the second step with the set transmission limit value, if the distance is greater than the transmission limit value, an update canceling instruction is sent to the task end or the cloud server, and if the distance is less than the transmission limit value, the operation is terminated.
The beneficial effects are that: the execution end compares the positions of the uploaded image data to reduce long-distance transmission in the data transmission process, ensure the data transmission efficiency, reduce the existence of parallel quantity in the network transmission process, and further ensure the smoothness and stability in the data transmission process.
Further, when the task receives image data corresponding to a plurality of measurement tasks, the task number of the image data uploaded by the measurement tasks at the current time is calculated, the task number is compared with a set transmission limit value, if the task number is larger than the transmission limit value, a cancel update instruction is sent to the cloud server, and if the task number is smaller than the transmission limit value, the process is terminated.
The beneficial effects are that: the task number of the image data uploaded by the task end is compared, so that the task end is ensured to have enough running memory to process the updated data of the map model, the smoothness and the stability in the data transmission process are ensured, and the occurrence of blocking of the running memory is reduced.
Further, when the execution end downloads the updated map model, the execution end displays the updated map model centering on its own GPS positioning information.
The beneficial effects are that: the updated map model is displayed by taking the GPS positioning information of the staff as the center, so that the staff can conveniently determine whether the updated map model reaches the standard vertebrae or not, and whether uploading data supplement is needed again or not.
In the third step, when the cloud server updates the land data after 3D modeling to the map model according to the GPS positioning start point mark, the update time and the execution end corresponding to the land data are also marked.
The beneficial effects are that: by marking the time and the execution end, the follow-up tracing work is facilitated, and map updating is arranged according to the updating time.
Further, in step one, the method of image data collected by the unmanned aerial vehicle is an autonomous planning route method.
The beneficial effects are that: the autonomous planning route method can carry out self-adaptive adjustment according to the difference of the collected plots of the unmanned aerial vehicle.
Further, a land management data acquisition and updating device comprises a mobile terminal, an unmanned aerial vehicle and a cloud server according to the land management data acquisition and updating method;
the mobile terminal is used for displaying a map model or a measurement task of the current area and displaying the map model based on GPS positioning information of the mobile terminal;
the mobile terminal comprises an execution end and a task end, wherein the execution end is used for a worker to log in and acquire a measurement task, and the execution end sends GPS positioning information to the cloud server and displays the GPS positioning information in a map model in a red manner; the task end is used for logging in by a manager and sending a measurement task, the task end is also used for transferring the image data sent by the execution end, the task end sends GPS positioning information to the cloud server and displays the GPS positioning information in the map model;
the unmanned aerial vehicle is used for collecting image data and sending the image data to the execution end;
the cloud server is used for inputting a map model, converting the image data into land data through the existing 3D modeling technology, and updating the land data to the map model.
The beneficial effects are that: through the different display of the execution end and the task end in the map model, even if the management personnel regulate and control the data acquisition process of the staff, the staff can judge according to the position of the staff and communicate with the management personnel on the surface conveniently. (e.g., some novices with data collection, without experience, often experience is lacking during task execution, so that on-the-fly contact or guidance can be made to the manager based on their own location)
Meanwhile, GPS positioning information based on the mobile terminal is convenient for positioning accuracy in the updating process of the subsequent map model.
Drawings
Fig. 1 is a flow chart of a land management data collection and update method according to an embodiment of the invention.
Fig. 2 is a schematic diagram of a land management data collection and updating device according to an embodiment of the present invention.
Detailed Description
The following is a further detailed description of the embodiments:
example 1
An embodiment is substantially as shown in figures 1 to 2 of the accompanying drawings: a land management data acquisition and update method comprises the following steps:
step one, collecting land data, wherein a worker acquires a measurement task or a map model of a current area through a login execution end; the execution end is connected with the unmanned aerial vehicle to execute a measurement task, and the execution end uploads image data acquired by the unmanned aerial vehicle to the task end or a cloud server for storage, and the method of the image data acquired by the unmanned aerial vehicle is an autonomous planning route method; the execution end carries out GPS positioning starting point marking on the image data based on the GPS positioning information of the execution end, and the GPS positioning starting point marking is used as a reference point, so that the map model is conveniently covered, and the positioning accuracy in the process of updating the map model is conveniently carried out later;
step two, planning a measurement task, wherein a manager obtains the division of the measurement task on a current area through a login task end or a cloud server to obtain a measurement work diagram, and marks the position of the manager on the measurement work diagram through the task end or the cloud server by taking the position of the manager as a central point; the execution end, the task end and the cloud server are connected through a GPRS network;
the method comprises the steps that a task end or a cloud server calculates the distance between the position corresponding to each measurement task in a measurement work diagram and a central point, the distances of the measurement tasks are sequenced from far to near, the sequences are A1, A2 and A3.
Sequencing the working years of the staff corresponding to the idle execution end according to the sequence from big to small, wherein the sequence is B1, B2 and B3.
The task end or the cloud server calculates the phase difference distance between the GPS positioning information of the idle execution end corresponding to Bn and the position corresponding to each An in the measurement work diagram based on An or Bn in the far task database or the near task database respectively, compares the phase difference distance with a set third threshold value, terminates if the phase difference distance is larger than the third threshold value, and sends the measurement task corresponding to An to the idle execution end corresponding to Bn if the phase difference distance is smaller than the third threshold value;
for example, by dividing the measurement task of the current area with the position of the manager as the center, executing the remote task by the staff with abundant operation experience in the working period, executing the near task by the staff with short operation period and inexperienced in the working period, the communication between the staff and the manager is difficult due to the increase of the communication distance, and the staff without the working period can process the difficulty of the measurement task and the emergency event by using the experience of the staff with long operation period (for the measurement of the land data in the remote area, the increase of the communication distance can increase the probability of the communication quality being interfered by the outside), and the staff with short operation period is convenient to consult the manager in time, so as to ensure the working efficiency of the staff and the processing efficiency in the case of the emergency accident, thereby improving the data acquisition and updating efficiency.
Step three, processing and classifying image data, when the execution end uploads the image data corresponding to the measurement task, the task end or the cloud server takes the sequence of the measurement task which is reverse in order as the uploading sequence of the image data, and the cloud server carries out 3D modeling on the corresponding image data based on the sequence of the measurement task which is reverse in order, wherein the unmanned aerial vehicle 3D modeling technology is the prior art, and is common knowledge of a person skilled in the art, the cloud server does not need to be repeated, updates the image data after 3D modeling into a map model, and marks the update time and the execution end corresponding to the land data.
For example, because the measurement tasks are ordered in a sequence from far to near, for uploading a plurality of data simultaneously, the increase of the transmission distance increases the transmission time in the data transmission process, also increases the capability of being interfered by the outside in the data transmission process, and the ordering based on the measurement tasks is used as the uploading sequence of the image data, so that the network parallel transmission channels can be reduced, and the network congestion is reduced, thereby ensuring the smoothness and the stability in the data transmission process.
Example 2
The difference from the above embodiment is that when the executing end uploads the image data corresponding to the measurement task, the executing end also compares the distance corresponding to the measurement task in the second step with the set transmission limit value, if the distance is greater than the transmission limit value, a command for canceling update is sent to the task end or the cloud server, and if the distance is less than the transmission limit value, the process is terminated.
The specific implementation process is as follows: the difference of transmission distances can lead to the difference of transmission time and transmission efficiency, and the execution end compares the positions of the uploaded image data to reduce long-distance transmission in the data transmission process, ensure the data transmission efficiency, reduce the existence of parallel quantity in the network transmission process, and further ensure the smoothness and stability in the data transmission process.
Example 3
The difference from the above embodiment is that, when the task receives the image data corresponding to the plurality of measurement tasks, the task number of the measurement task uploading the image data at the current time is calculated, and the task number is compared with the set transmission limit value, if the task number is greater than the transmission limit value, an update cancellation instruction is sent to the cloud server, and if the task number is less than the transmission limit value, the operation is terminated.
The specific implementation process is as follows: the task number of the image data uploaded by the task end is compared, so that the task end is ensured to have enough running memory to process the updated data of the map model, the smoothness and the stability in the data transmission process are ensured, and the occurrence of blocking of the running memory is reduced.
Example 4
The difference from the above-described embodiment is that when the execution end downloads the updated map model, the execution end displays the updated map model centering on its own GPS positioning information.
The specific implementation process is as follows: when a worker views the map model through the execution end, the global display can cause the generation of a clamping state due to the limitation of the running memory of the execution end; the updated map model is displayed by taking the GPS positioning information of the staff as the center, so that the staff can conveniently determine whether the updated map model reaches the standard vertebrae or not, and whether uploading data supplement is needed again or not.
Example 5
The difference from the above embodiment is that a land management data collection and update device, according to the above land management data collection and update method, includes a mobile terminal, an unmanned aerial vehicle, and a cloud server;
the mobile terminal is used for displaying a map model or a measurement task of the current area and displaying the map model based on GPS positioning information of the mobile terminal;
the mobile terminal comprises an execution end and a task end, wherein the execution end is used for a worker to log in and acquire a measurement task, and the execution end sends GPS positioning information to the cloud server and displays the GPS positioning information in a map model in a red manner; the task end is used for logging in by a manager and sending a measurement task, the task end is also used for transferring the image data sent by the execution end, the task end sends GPS positioning information to the cloud server and displays the GPS positioning information in the map model;
the unmanned aerial vehicle is used for collecting image data and sending the image data to the execution end;
the cloud server is used for entering a map model, converting the map model into land data (the 3D modeling technology includes but is not limited to software named Pix4D map) through the existing 3D modeling technology based on the image data, and updating the land data to the map model.
The present embodiment is a supplementary explanation of the specific structure of the above embodiment, and is not repeated.
The foregoing is merely exemplary of the present invention and the specific structures and/or characteristics of the present invention that are well known in the art have not been described in detail herein. It should be noted that modifications and improvements can be made by those skilled in the art without departing from the structure of the present invention, and these should also be considered as the scope of the present invention, which does not affect the effect of the implementation of the present invention and the utility of the patent. The protection scope of the present application shall be subject to the content of the claims, and the description of the specific embodiments and the like in the specification can be used for explaining the content of the claims.
Claims (8)
1. The land management data acquisition and updating method is characterized by comprising the following steps: step one, collecting land data, wherein a worker acquires a measurement task or a map model of a current area through a login execution end; the execution end is connected with the unmanned aerial vehicle to execute a measurement task, the execution end uploads image data acquired by the unmanned aerial vehicle to the task end or a cloud server to be stored, and the execution end performs GPS positioning starting point marking on the image data based on GPS positioning information of the execution end;
step two, planning a measurement task, wherein a manager obtains the division of the measurement task on a current area through a login task end or a cloud server to obtain a measurement work diagram, and marks the position of the manager on the measurement work diagram through the task end or the cloud server by taking the position of the manager as a central point;
the method comprises the steps that a task end or a cloud server calculates the distance between the position corresponding to each measurement task in a measurement work diagram and a central point, the distances of the measurement tasks are sequenced from far to near, the sequences are A1, A2 and A3.
Sequencing the working years of the staff corresponding to the idle execution end according to the sequence from big to small, wherein the sequence is B1, B2 and B3.
The task end or the cloud server calculates the phase difference distance between GPS positioning information of the idle execution end corresponding to Bn and the position corresponding to each An in the measurement work diagram based on An or Bn in the far task database or the near task database respectively, compares the phase difference distance with a set third threshold value, terminates if the phase difference distance is larger than the third threshold value, and sends the measurement task corresponding to An to the idle execution end corresponding to Bn if the phase difference distance is smaller than the third threshold value;
and step three, processing the image data, wherein when the execution end uploads the image data corresponding to the measurement task, the task end or the cloud server takes the reverse order of the measurement task as the uploading order of the image data, and the cloud server carries out 3D modeling on the corresponding image data based on the reverse order of the measurement task to obtain land data corresponding to the image data, and the cloud server updates the land data after 3D modeling to the map model according to the GPS positioning starting point mark.
2. The land management data collection and updating method according to claim 1, wherein: and the execution end, the task end and the cloud server are connected through a GPRS network.
3. The land management data collection and updating method according to claim 1, wherein: when the execution end uploads the image data corresponding to the measurement task, the execution end also compares the distance corresponding to the measurement task in the second step with the set transmission limit value, if the distance is larger than the transmission limit value, an update canceling instruction is sent to the task end or the cloud server, and if the distance is smaller than the transmission limit value, the operation is terminated.
4. The land management data collection and updating method according to claim 1, wherein: when the task receives image data corresponding to a plurality of measurement tasks, calculating the task number of the measurement tasks uploading the image data at the current time, comparing the task number with a set transmission limit value, sending a cancel update instruction to the cloud server if the task number is larger than the transmission limit value, and ending if the task number is smaller than the transmission limit value.
5. The land management data collection and updating method according to claim 1, wherein: when the execution terminal downloads the updated map model, the execution terminal displays the updated map model as a center based on the GPS positioning information of the execution terminal.
6. The land management data collection and updating method according to claim 1, wherein: in the third step, when the cloud server updates the land data after 3D modeling to the map model according to the GPS positioning start point mark, the update time and the execution end corresponding to the land data are also marked.
7. The land management data collection and updating method according to claim 1, wherein: in the first step, the method of image data collected by the unmanned aerial vehicle is an autonomous planning route method.
8. A land management data collection and updating apparatus characterized by an apparatus of a land management data collection and updating method according to any one of claims 1 to 7: the method comprises a mobile terminal, an unmanned aerial vehicle and a cloud server;
the mobile terminal is used for displaying a map model or a measurement task of the current area and displaying the map model based on GPS positioning information of the mobile terminal;
the mobile terminal comprises an execution end and a task end, wherein the execution end is used for a worker to log in and acquire a measurement task, and the execution end sends GPS positioning information to the cloud server and displays the GPS positioning information in a map model in a red manner; the task end is used for logging in by a manager and sending a measurement task, the task end is also used for transferring the image data sent by the execution end, the task end sends GPS positioning information to the cloud server and displays the GPS positioning information in the map model;
the unmanned aerial vehicle is used for collecting image data and sending the image data to the execution end;
the cloud server is used for inputting a map model, converting the image data into land data through the existing 3D modeling technology, and updating the land data to the map model.
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