CN112765298A - Smart-removal-based land use graph generation method and device - Google Patents

Smart-removal-based land use graph generation method and device Download PDF

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CN112765298A
CN112765298A CN202110093318.9A CN202110093318A CN112765298A CN 112765298 A CN112765298 A CN 112765298A CN 202110093318 A CN202110093318 A CN 202110093318A CN 112765298 A CN112765298 A CN 112765298A
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cost
information
land
graph
line
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俞建康
司幸丽
王智锋
裘智辉
周伊伊
鲍剑
郑希望
陶鹰
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Zhejiang Natural Resources Collection Center
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    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/29Geographical information databases
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Abstract

The invention discloses a method and a device for generating a land figure based on intelligent removal, which comprises the steps of inputting a target start line; measuring to obtain a simplified line graph; superposing the target initial line and the simplified line graph to obtain a comprehensive graph; planning based on geological information and land information; and generating a land for removal graph. Determining an area needing to generate a removal map by inputting a target starting line; then, measuring and obtaining a simplified line drawing, thereby being more convenient for a computer to carry out operation processing; then, overlapping the target starting line and the simplified line drawing to obtain a comprehensive drawing so as to perform specific planning calculation; planning is carried out based on geological information and land information to calculate the construction mode with the lowest cost, and finally splicing and generating the land pattern for removal, so that the land pattern for removal can be designed standardly and quickly, the working efficiency is improved, and the problem that the working efficiency is reduced due to the fact that the existing measuring scheme is influenced by people subjectively is solved.

Description

Smart-removal-based land use graph generation method and device
Technical Field
The invention relates to the field of construction land planning, in particular to a method and a device for generating a map based on intelligent removal land.
Background
Due to the requirements of national construction, city transformation, city appearance rectification, environmental protection and the like, a construction unit needs to dismantle the existing house on the construction land so as to construct a construction project and achieve reasonable allocation of land resources. Taking the construction of the power transmission and transformation project in the national construction as an example, when the construction path of the power transmission and transformation project needs to pass through a house residence, a certain amount of house removal is inevitably needed, the removal progress of the house affects the construction progress of the power transmission and transformation project, and the removal amount of the house affects the construction cost of the power transmission and transformation project.
Therefore, before the construction of the power transmission and transformation project, engineers need to adopt the traditional engineering measurement technology to carry out on-site mapping on the construction site of the power transmission and transformation project, obtain the house information that needs to be removed in the construction site of the power transmission and transformation project, so as to carry out the scheme design of the construction path of the power transmission and transformation project.
Disclosure of Invention
The invention aims to provide a method and a device for generating a map based on intelligent removal land, and aims to solve the problem that the working efficiency is reduced because the existing measurement scheme is greatly influenced by human subjectivity.
In order to achieve the above object, in a first aspect, the present invention provides a method for generating a map based on intelligent relocation, including inputting a target start line; measuring to obtain a simplified line graph; superposing the target initial line and the simplified line graph to obtain a comprehensive graph; planning based on geological information and land information; and generating a land for removal graph.
The land information comprises house information, road information, field information and tree information; the geological information includes mountain height information, rock formation information, and river distribution information.
After the removal land graph is generated, the method further comprises optimizing the removal land graph based on a machine learning algorithm.
The specific steps of measuring and acquiring the simplified line drawing comprise: acquiring a reference map of the current terrain based on the satellite map; collecting geological information, marking and uploading the geological information to a server; collecting land information and uploading the land information to a server and marking the land information; a simplified line graph is generated.
The specific steps of obtaining the comprehensive graph by overlapping the target starting line and the simplified line graph are as follows: acquiring a scale of the simplified line drawing; scaling the target initial line based on a scale to obtain a matching graph; and overlapping the matching graph and the simplified line graph to obtain a comprehensive graph.
The planning based on the geological information and the land information comprises the following specific steps: segmenting the shortest distance between the target start lines; calculating the construction cost of the first distance and the construction cost of the same distance in two directions perpendicular to the first distance to obtain a first cost, a second cost and a third cost; comparing the first cost, the second cost and the third cost, and constructing towards the minimum value; taking the N-1 section distance as a starting point, calculating the construction cost of the Nth section distance and the construction cost of the same distance in two directions perpendicular to the Nth section distance to obtain the Nth cost, the (N + 1) th cost and the (N + 2) th cost; and comparing the Nth cost, the (N + 1) th cost and the (N + 2) th cost, and constructing towards the minimum value.
The method comprises the following specific steps of calculating the construction cost of the first distance and the construction cost of the same distance in two directions perpendicular to the first distance, and obtaining the first cost: acquiring the intersection area of the first distance and geological information; calculating the volume of the mountain based on the cross area; and (5) calculating the mountain excavation cost. Acquiring the intersection area of the first distance and the land information; calculating the removal cost; and adding the mountain excavation cost and the removal cost to obtain a first cost.
In a second aspect, the present invention further provides a device for generating a map based on intelligent relocation, including:
the system comprises a measuring module, a line simplifying module, a planning module and a splicing module, wherein the measuring module, the line simplifying module, the planning module and the splicing module are sequentially and electrically connected;
the measuring module is used for inputting a target start line and measuring to obtain a simplified line drawing;
the line simplification module is used for superposing the target start line and the simplified line graph to obtain a comprehensive graph;
the planning module is used for planning based on geological information and land information;
and the splicing module is used for generating a land for removal graph.
The invention relates to a method and a device for generating a land figure based on intelligent removal, which comprises the steps of inputting a target start line; measuring to obtain a simplified line graph; superposing the target initial line and the simplified line graph to obtain a comprehensive graph; planning based on geological information and land information; and generating a land for removal graph. Determining an area needing to generate a removal map by inputting a target starting line; then, measuring and obtaining a simplified line drawing, thereby being more convenient for a computer to carry out operation processing; then, overlapping the target starting line and the simplified line drawing to obtain a comprehensive drawing so as to perform specific planning calculation; planning is carried out based on geological information and land information to calculate the construction mode with the lowest cost, and finally splicing and generating the land pattern for removal, so that the land pattern for removal can be designed standardly and quickly, the working efficiency is improved, and the problem that the working efficiency is reduced due to the fact that the existing measuring scheme is influenced by people subjectively is solved.
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 flow chart of a method for generating a map based on intelligent relocation in accordance with the present invention;
FIG. 2 is a flow chart of a measurement acquisition simplified line graph of the present invention;
FIG. 3 is a flow chart of the present invention for collecting and flagging a land information upload server;
FIG. 4 is a flow chart of the present invention for generating a simplified line graph;
FIG. 5 is a flow chart of the present invention for superimposing a target start line and a simplified line drawing to obtain a composite drawing;
FIG. 6 is a flow chart of the present invention for planning based on geological information and land information;
FIG. 7 is a flowchart of the present invention for calculating the construction cost of the first distance and the construction cost of the same distance in two directions perpendicular to the first distance to obtain the first cost;
fig. 8 is a block diagram of a map generation device for intelligent relocation according to the present invention.
1-measurement module, 2-line simplification module, 3-planning module and 4-splicing module.
Detailed Description
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the drawings are illustrative and intended to be illustrative of the invention and are not to be construed as limiting the invention.
In a first aspect, referring to fig. 1 to 7, the present invention provides a method for generating a map based on intelligent relocation, including:
s101, inputting a target initial line;
when planning a region for removing stitches, a starting point and an end point are always used as the most basic reference points, so that the passing path and the region needing to be removed are designed on the basis.
S102, measuring and obtaining a simplified line graph;
in order to automatically plan the path, some information of the current area needs to be acquired, and thus a measurement is performed. The method comprises the following specific steps:
s201, acquiring a reference map of the current terrain based on the satellite map;
most areas in China have accurate satellite maps at present, the satellite maps can not meet the construction requirements in detail and can be directly used as the reference of the required topographic maps, so that other details can be added on the basis, and the design time is saved.
S202, collecting geological information, marking and uploading the geological information to a server;
the geological information includes mountain height information, rock formation information, and river distribution information. In the actual construction process, the situations of mountains and rivers can be met, the construction cost can be greatly increased when the construction is carried out in the places, and therefore the recording and marking are needed, so that the construction path can be avoided when being planned later, and the rock stratum information determines the difficulty degree of excavating the mountain body, so that the difficulty degrees of various construction conditions can be comprehensively compared, and the path planning can be better carried out.
S203, collecting land information and uploading the land information to a server and marking the land information;
the land information comprises house information, road information, field information and tree information, and the land, the house and the road in an urban area or a rural area can also pass through during the construction process, and in the construction process, the cost in the aspects of removal, road diversion and the like needs to be comprehensively considered in addition to meeting the requirements of construction projects, so that a comprehensive solution is provided, and better path planning can be performed. The method comprises the following specific steps:
s301, collecting an environment image by adopting a plurality of unmanned aerial vehicles or vehicles;
the area between the target start lines is photographed through the camera on the unmanned aerial vehicle or the vehicle, so that various feature information between the target areas can be collected more accurately, and the defect that the precision of the local area of the satellite map is not enough is overcome.
S302, uploading the environment image to a server;
and uploading the information collected by all the unmanned aerial vehicles and the vehicles to a server, and then carrying out comprehensive treatment.
S303, splicing the environment images into a topographic map;
the environment images are spliced into a complete topographic map through an image splicing algorithm, and the complete topographic map can be compared with the previous satellite map to carry out some corrections so as to reduce splicing errors and obtain a more accurate topographic map.
S304, carrying out image recognition on the land information and framing the mark.
And identifying house information, road information, field information, tree information and the like by using an image identification technology, and framing the house information, the road information, the field information, the tree information and the like on the topographic map.
S204 generates a simplified line graph. For the convenience of processing images by a computer, some simplification needs to be performed on a topographic map, so that the calculation is more convenient. The method comprises the following specific steps:
s401, simplifying land information into a rectangular chart;
most houses, lands, forests and the like appear in blocks, so that the rectangular graph can basically meet the requirement of planning precision and is convenient for a computer to process.
S402, simplifying the mountains by adopting contour lines to obtain a mountain body map;
the mountain map is obtained by superimposing the existing contour map on the topographic map to simplify the mountain.
S403, simplifying the river by adopting two boundary lines to obtain a river diagram;
the boundary line between the river and the ground is obtained through an image recognition technology, so that the river flow graph can be obtained in a simplified mode.
S404, overlapping the rectangular chart, the mountain chart and the river chart to obtain a simplified line chart.
Finally, the rectangular map, the mountain map and the river map containing the land information are superposed on one map, so that a simplified line map can be obtained, and the computer can be used for processing more conveniently.
S103, overlapping the target start line and the simplified line drawing to obtain a comprehensive drawing;
superposing a target start line and a simplified line drawing of a construction project, so that planning can be directly performed on the simplified line drawing, and the method specifically comprises the following steps:
s501, acquiring a scale of the simplified line drawing;
the scale of the simplified line graph can be obtained by measuring a reference in the topographic map by an image recognition technology, and the vehicle size, the road width and the like can be used as the reference, and a field measurement input mode can also be adopted.
S502, scaling the target initial line based on a scale to obtain a matching graph;
the scale of the target start line can be obtained from initial data during design, so that the target start line and the simplified line drawing can be unified by referring to a scale.
S503, the matching graph and the simplified line graph are superposed to obtain a comprehensive graph.
S104, planning based on geological information and land information;
after a specific comprehensive graph is obtained, planning of a map for removal can be carried out, and the specific steps are as follows:
s601, segmenting the shortest distance between target initial lines;
by adopting a segmentation design method, the distance between the target start lines is segmented according to the shortest distance, so that the final scheme can be obtained by designing each segment and finally connecting the segments.
S602, calculating the construction cost of the first distance and the construction cost of the same distance in two directions perpendicular to the first distance to obtain a first cost, a second cost and a third cost;
the method comprises the following specific steps:
s701, acquiring a first distance and a cross area of geological information;
geological information and land information may exist at the same time at the first distance, so that the geological information and the land information are acquired and calculated respectively, and the length and the width of the first distance are set according to the specific requirements of projects.
S702, calculating the volume of a mountain based on the cross area;
and calculating the volume of the mountain by combining the information of the contour lines and the cross area.
S703, calculating the mountain excavation cost.
The excavation cost can be estimated by combining the volume of the mountain and the information of the rock stratum, and the estimation can be used as a reference.
S704, acquiring the intersection area of the first distance and the land information;
s705, calculating the removal cost;
the cost of removal can be estimated for reference by combining information such as the number of houses and the field area involved in the crossing area and by combining market prices.
S706, adding the mountain excavation cost and the removal cost to obtain a first cost.
The first cost can be obtained by integrating the excavation cost and the removal cost, and the second cost and the third cost can be obtained in the same manner.
S603, comparing the first cost, the second cost and the third cost, and constructing towards the minimum value;
by comparing the three costs, the place with the minimum cost can be selected for processing, so that the construction cost is saved.
S604, taking the N-1 section distance as a starting point, calculating the construction cost of the Nth section distance and the construction cost of the same distance in two directions perpendicular to the Nth section distance to obtain the Nth cost, the (N + 1) th cost and the (N + 2) th cost;
s605 compares the Nth cost, the (N + 1) th cost and the (N + 2) th cost, and carries out construction towards the minimum value.
By repeating this calculation a number of times, the minimum cost per distance can be obtained.
S105, a graph for removal is generated.
The results generated by all the segments are finally combined to generate the final result.
S106, optimizing the removal land graph based on a machine learning algorithm.
In the calculation process, the situation of reverse construction may occur, so a machine learning algorithm needs to be adopted to correct the situation, and in addition, a curve fitting mode can be adopted to optimize the combination mode of two distances, so that a better result can be obtained.
The invention relates to a method for generating an intelligent land for removal, which determines an area needing to generate a removal map by inputting a target start line; then, measuring and obtaining a simplified line drawing, thereby being more convenient for a computer to carry out operation processing; then, overlapping the target starting line and the simplified line drawing to obtain a comprehensive drawing so as to perform specific planning calculation; planning is carried out based on geological information and land information to calculate the construction mode with the lowest cost, and finally splicing and generating the land pattern for removal, so that the land pattern for removal can be designed standardly and quickly, the working efficiency is improved, and the problem that the working efficiency is reduced due to the fact that the existing measuring scheme is influenced by people subjectively is solved.
In a second aspect, referring to fig. 8, the present invention further provides an apparatus for generating a map based on intelligent relocation, including:
the system comprises a measuring module 1, a line simplifying module 2, a planning module 3 and a splicing module 4, wherein the measuring module 1, the line simplifying module 2, the planning module 3 and the splicing module 4 are electrically connected in sequence;
the measuring module 1 is used for inputting a target start line and measuring to obtain a simplified line drawing;
the line simplification module 2 is used for superposing the target start line and the simplified line graph to obtain a comprehensive graph;
the planning module 3 is used for planning based on geological information and land information;
and the splicing module 4 is used for generating a map for removal.
In the embodiment, the measuring module 1 mainly comprises a measuring unit, a transmission unit and a server, wherein the measuring unit is used for collecting geological information and collecting land information, uploading the collected geological information to the server and marking the server, and the server is used for inputting a target start line and processing returned information; the line simplifying module 2 obtains a scale of a simplified line graph, then scales a target starting line based on the scale to obtain a matching graph, and finally superposes the matching graph and the simplified line graph to obtain a comprehensive graph, the planning module 3 divides the distance between the target starting points based on land information and geological information, and then calculates the lowest cost of each route to complete planning, and the splicing module 4 combines all the divided routes to generate a graph for removal, so that the graph for removal can be generated quickly, and the working efficiency is improved.
While the invention has been described with reference to a preferred embodiment, it will be understood by those skilled in the art that various changes in form and detail may be made therein without departing from the spirit and scope of the invention as defined by the appended claims.

Claims (8)

1. A method for generating a land graph based on intelligent removal is characterized in that,
inputting a target starting line;
measuring to obtain a simplified line graph;
superposing the target initial line and the simplified line graph to obtain a comprehensive graph;
planning based on geological information and land information;
and generating a land for removal graph.
2. The method as claimed in claim 1, wherein the intelligent relocation land based graphic generation method,
the land information comprises house information, road information, field information and tree information; the geological information includes mountain height information, rock formation information, and river distribution information.
3. The method as claimed in claim 1, wherein after the generation of the relocation map, the method further comprises:
and optimizing the removal land graph based on a machine learning algorithm.
4. The method as claimed in claim 1, wherein the step of obtaining the simplified line drawing by measuring comprises:
acquiring a reference map of the current terrain based on the satellite map;
collecting geological information, marking and uploading the geological information to a server;
collecting land information and uploading the land information to a server and marking the land information;
a simplified line graph is generated.
5. The method as claimed in claim 1, wherein the step of superimposing the target start line and the simplified line drawing to obtain the comprehensive drawing comprises:
acquiring a scale of the simplified line drawing;
scaling the target initial line based on a scale to obtain a matching graph;
and overlapping the matching graph and the simplified line graph to obtain a comprehensive graph.
6. The method as claimed in claim 1, wherein the intelligent relocation land based graphic generation method,
the planning based on the geological information and the land information comprises the following specific steps:
segmenting the shortest distance between the target start lines;
calculating the construction cost of the first distance and the construction cost of the same distance in two directions perpendicular to the first distance to obtain a first cost, a second cost and a third cost;
comparing the first cost, the second cost and the third cost, and constructing towards the minimum value;
taking the N-1 section distance as a starting point, calculating the construction cost of the Nth section distance and the construction cost of the same distance in two directions perpendicular to the Nth section distance to obtain the Nth cost, the (N + 1) th cost and the (N + 2) th cost;
and comparing the Nth cost, the (N + 1) th cost and the (N + 2) th cost, and constructing towards the minimum value.
7. The method as claimed in claim 6, wherein the step of calculating the construction cost of the first distance and the construction cost of the same distance in two directions perpendicular to the first distance comprises:
acquiring the intersection area of the first distance and geological information;
calculating the volume of the mountain based on the cross area;
calculating the mountain excavation cost;
acquiring the intersection area of the first distance and the land information;
calculating the removal cost;
and adding the mountain excavation cost and the removal cost to obtain a first cost.
8. A land for intelligent removal based graphic generation device comprises:
the system comprises a measuring module, a line simplifying module, a planning module and a splicing module, wherein the measuring module, the line simplifying module, the planning module and the splicing module are sequentially and electrically connected;
the measuring module is used for inputting a target start line and measuring to obtain a simplified line drawing;
the line simplification module is used for superposing the target start line and the simplified line graph to obtain a comprehensive graph;
the planning module is used for planning based on geological information and land information;
and the splicing module is used for generating a land for removal graph.
CN202110093318.9A 2021-01-25 2021-01-25 Smart-removal-based land use graph generation method and device Pending CN112765298A (en)

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Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109191574A (en) * 2018-09-07 2019-01-11 江苏省工程勘测研究院有限责任公司 Earth clearance object research information management system based on unmanned plane oblique photograph
CN110645969A (en) * 2019-10-29 2020-01-03 广州国苑规划设计有限公司 Land surveying and mapping method for homeland planning
CN110889794A (en) * 2019-09-30 2020-03-17 成都市市政工程设计研究院 Statistical method for municipal road land acquisition houses

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109191574A (en) * 2018-09-07 2019-01-11 江苏省工程勘测研究院有限责任公司 Earth clearance object research information management system based on unmanned plane oblique photograph
CN110889794A (en) * 2019-09-30 2020-03-17 成都市市政工程设计研究院 Statistical method for municipal road land acquisition houses
CN110645969A (en) * 2019-10-29 2020-01-03 广州国苑规划设计有限公司 Land surveying and mapping method for homeland planning

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