WO2020093916A1

WO2020093916A1 - Algorithm for rapid generation of detailed image showing quality of compact construction

Info

Publication number: WO2020093916A1
Application number: PCT/CN2019/114275
Authority: WO
Inventors: 沈礼伟; 黄诗丰; 杨红; 刘理想; 朱亚林
Original assignee: 南京天辰礼达电子科技有限公司
Priority date: 2018-11-09
Filing date: 2019-10-30
Publication date: 2020-05-14
Also published as: CN109492007A

Abstract

The present invention provides an algorithm for rapid generation of a detailed image showing quality of compact construction. The algorithm comprises the following steps: step (1): generating a vehicle trajectory; step (2): dividing construction data into a grid; step (3): extracting data; step (4): mapping the trajectory; step (5): processing the data grid; step (6): generating a construction image. The method employs original compact construction data as a basis for generating trajectory data, while simultaneously processing the construction data to generate a construction data grid, thereby enabling fast indexing of the construction data.

Description

An Algorithm for Quickly Generating Pictures with Fine Work Quality

Technical field

The present invention relates to the grid processing of construction data; the invention relates to the implementation of a fast image quality generation algorithm based on sub-pixel processing of roadbed pressure.

Background technique

In the process of pressing, it is an important way to display the construction quality results in an intuitive picture way for the digital construction information software platform. During the construction process, construction vehicles generate a large amount of construction data. How to quickly extract effective data from a large amount of construction data and how to quickly generate pictures reflecting the results of construction quality based on a large amount of construction data is one of the digital construction information software platforms. Key technology; digital construction products currently on the market, when generating construction quality result pictures, there are problems such as slow generation speed, low efficiency and insufficient picture refinement, which affects the experience and response speed, and the generated picture results lose some details .

Summary of the invention

In order to solve the above-mentioned shortcomings, the present invention provides a fast image generation algorithm for fine-grained construction quality. This method is based on the original compacted construction data, processes the original data to generate trajectory data, and simultaneously generates gridding Construction data provides support for rapid indexing of construction data. Based on the trajectory data and grid data, the construction result data can be quickly extracted, and the construction quality pictures can be quickly generated. This algorithm solves the problems of slow construction speed and insufficient precision of construction pictures, and provides important data guarantee and technical support for construction quality monitoring and management.

The invention provides an algorithm for quickly generating fine-quality work quality images, including the following steps:

Step (1): vehicle trajectory generation;

Step (2): Grid construction data;

Step (3): data extraction;

Step (4): trajectory drawing;

Step (5): Grid data processing;

Step (6): Construction picture generation.

The above method, wherein the step (1) specifically includes: generating construction trajectory data according to the vehicle model data based on the original high-precision positioning data and sensor data uploaded by the construction vehicle, and saving to the database.

The above method, wherein the step (2) specifically includes: based on the construction scope, based on the engineering coordinates, with a certain grid width, the construction area is virtualized into a corresponding style, based on the row number and column number, Generate a unique index on the grid; the construction data belongs to the corresponding grid according to the engineering coordinates, record the construction result data of each grid and store it in the database to realize the grid processing of the construction data.

The above method, wherein the step (3) specifically includes: quickly calculating the minimum outsourcing rectangle of the construction area according to the construction trajectory, and quickly calculating all the grid indexes contained in the rectangle according to the outsourcing rectangle; Index to quickly extract construction result data.

The above method, wherein the step (4) specifically includes: drawing the trajectory with a specific fill color according to the trajectory data, the purpose is to directly inversely calculate the number of drawing passes through the final color value, which corresponds to The number of passes for vehicle rolling; the efficiency of inversely calculating the number of passes is significantly higher than the efficiency of extracting the number of construction passes from the database.

The above method, wherein the step (5) specifically includes: organizing a fast index data structure based on the solved grid index, to realize quick search and acquisition of grid data during image generation, and significantly reduce the time when generating images , The time and efficiency of data acquisition.

The above method, wherein the step (6) specifically includes: establishing a mapping relationship between the picture coordinates and the engineering coordinates, solving the grid index according to the picture coordinates, and implementing a quick search for the corresponding data of a single pixel in the picture, according to The result data and the corresponding quality indicators modify the color of the picture pixel by pixel to achieve fast and high-quality construction quality picture generation.

The present invention has the following beneficial effects: 1. The method is based on the original press construction data, processes the original data to generate trajectory data, and simultaneously processes and generates gridded construction data to provide support for quickly indexing the construction data. Based on the trajectory data and grid data, the construction result data can be quickly extracted, and the construction quality pictures can be quickly generated. This algorithm solves the problem of slow construction speed and insufficient fineness of construction pictures, and provides important data guarantee and technical support for construction quality monitoring and management; 2. The algorithm of the present invention uses gridding to process construction data to achieve rapid construction data Efficient retrieval; this algorithm realizes the efficient pixel-by-pixel processing of pictures, and realizes the rapid generation of high-resolution pictures.

BRIEF DESCRIPTION

The present invention and its features, appearance, and advantages will become more apparent by reading the detailed description of the non-limiting embodiments with reference to the following drawings. The same symbols indicate the same parts in all drawings. The drawings are not intentionally drawn to scale, with an emphasis on showing the gist of the present invention.

Figure 1 is the algorithm construction data trajectory and grid processing flow.

Figure 2 is the algorithm construction data extraction and picture generation process.

detailed description

In the following description, a large number of specific details are given in order to provide a more thorough understanding of the present invention. However, it is obvious to those skilled in the art that the present invention can be implemented without one or more of these details. In other examples, in order to avoid confusion with the present invention, some technical features known in the art are not described.

In order to thoroughly understand the present invention, detailed steps and detailed structures will be proposed in the following description in order to explain the technical solutions of the present invention. The preferred embodiments of the present invention are described in detail below. However, in addition to these detailed descriptions, the present invention may have other embodiments.

Referring to FIGS. 1-2, the present invention provides a fast image generation algorithm for fine-grained work quality, including the following steps:

Step (1): vehicle trajectory generation;

Step (2): Grid construction data;

Step (3): data extraction;

Step (4): trajectory drawing;

Step (5): Grid data processing;

Step (6): Construction picture generation.

In a preferred but non-limiting embodiment of the present invention, step (1) specifically includes: generating construction trajectory data according to the original high-precision positioning data and sensor data uploaded by the construction vehicle and vehicle model data, and saving to the database.

In the present invention, step (2) specifically includes: based on the construction range, according to the engineering coordinates, with a certain grid width, the construction area is virtualized into a corresponding style, according to the row number and column number, the grid Generate a unique index; construction data belongs to the corresponding grid according to the engineering coordinates, record the construction result data of each grid and store it in the database to realize the grid processing of the construction data.

In a preferred but non-limiting embodiment of the present invention, step (3) specifically includes: according to the construction trajectory, quickly calculate the minimum outsourcing rectangle of the construction area, and according to the outsourcing rectangle, quickly solve all the meshes contained in the rectangle Indexing: Quickly extract construction result data through grid indexing.

In a preferred but non-limiting embodiment of the present invention, step (4) specifically includes: drawing the trajectory with a specific fill color according to the trajectory data, the purpose is to directly inversely calculate the number of drawing passes through the final color value. The number of drawing passes corresponds to the number of passes of vehicle rolling; the efficiency of inverse calculation of the number of passes is significantly higher than the efficiency of extracting the number of construction passes from the database.

In a preferred but non-limiting embodiment of the present invention, step (5) specifically includes: organizing a fast index data structure based on the solved grid index, to realize quick search and acquisition of grid data when generating pictures, Significantly reduce the time and efficiency of data acquisition when generating pictures.

In a preferred but non-limiting embodiment of the present invention, step (6) specifically includes: establishing a mapping relationship between the picture coordinates and the engineering coordinates, solving the grid index according to the picture coordinates, and realizing the result data corresponding to a single pixel in the picture According to the result data and the corresponding quality indicators, the color of the picture is modified pixel by pixel to achieve fast and high-quality construction quality picture generation.

The preferred embodiments of the present invention have been described above. It should be understood that the present invention is not limited to the specific embodiments described above, and the devices and structures that are not described in detail should be understood to be implemented in the ordinary way in the art; anyone skilled in the art should not deviate from this In the case of the scope of the technical solutions of the invention, the methods and technical contents disclosed above can be used to make many possible changes and modifications to the technical solutions of the present invention, or modified into equivalent embodiments of equivalent changes, which does not affect the essence of the present invention . Therefore, any simple modifications, equivalent changes, and modifications made to the above embodiments based on the technical essence of the present invention without departing from the technical solution of the present invention still fall within the protection scope of the technical solution of the present invention.

Claims

An algorithm for rapid generation of refined work-quality images is characterized by the following steps:

Step (1): vehicle trajectory generation;

Step (2): Grid construction data;

Step (3): data extraction;

Step (4): trajectory drawing;

Step (5): Grid data processing;

Step (6): Construction picture generation.
An algorithm for quickly generating fine-quality work quality pictures as claimed in claim 1, wherein the step (1) specifically includes: according to the original high-precision positioning data and sensor data uploaded by the construction vehicle, according to the vehicle Model data, generate construction trajectory data, and save to the database.
An algorithm for quickly generating fine-quality work-quality pictures according to claim 2, characterized in that the step (2) specifically includes: taking the construction scope as a reference, and according to the engineering coordinates, with a certain grid width , Virtualize the construction area to the corresponding style, generate a unique index on the grid according to the row number and column number; the construction data belongs to the corresponding grid according to the engineering coordinates, record the construction result data of each grid and store to Database to realize grid processing of construction data.
An algorithm for quickly generating fine-quality work quality pictures as claimed in claim 3, characterized in that the step (3) specifically includes: quickly calculating the minimum outsourcing rectangle of the construction area according to the construction trajectory, according to Package rectangle, quickly solve all the grid indexes contained in the rectangle; through the grid index, quickly extract the construction result data.
An algorithm for quickly generating fine-quality work-quality pictures according to claim 3, characterized in that step (4) specifically includes: drawing the trajectory in a specific fill color according to the trajectory data, the purpose is to pass the final The color value is directly inversely calculated to draw the number of passes, which corresponds to the number of vehicle rolling; the efficiency of inverse calculation of the number of passes is significantly higher than the efficiency of extracting the number of construction passes from the database.
An algorithm for quickly generating fine-quality work-quality pictures according to claim 3, wherein step (5) specifically includes: organizing a fast index data structure based on the resolved grid index, When generating pictures, grid data can be quickly searched and acquired, which significantly reduces the time and efficiency of acquiring data when generating pictures.
An algorithm for quickly generating high-quality work-quality pictures as claimed in claim 3, wherein the step (6) specifically includes: establishing a mapping relationship between picture coordinates and engineering coordinates, and solving according to the picture coordinates Calculate the grid index to realize the quick search of the corresponding result data of a single pixel in the picture, modify the color of the picture pixel by pixel according to the result data and the corresponding quality index, and realize the rapid and high-definition construction quality picture generation.