Coal inventory system and method based on vision

A coal-panning and visual technology, applied in the field of vision-based coal-panting systems, can solve problems such as coal pile information fusion difficulties, coal quality loss, and coal reserve calculation difficulties, and achieve the effect of expanding application scenarios and reducing interference

Pending Publication Date: 2020-12-29
福建华电可门发电有限公司 +1
View PDF0 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] 3) The coal piles in the coal storage yard are irregular in shape and large in scale, and the coal piles are stacked chaotically, which makes the calculation of coal reserves extremely difficult. During the stacking process, part of the coal quality is lost, and the coal pile density is unevenly distributed. Based on the 3D scene The accuracy of coal reserves calculation is worthy of consideration;
[0008] 4) There are problems in th

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Coal inventory system and method based on vision
  • Coal inventory system and method based on vision
  • Coal inventory system and method based on vision

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0057] This embodiment provides a vision-based coal panning system, such as figure 1 As shown, it includes a data acquisition module and an image processing module, and the data acquisition module is connected with the image processing module;

[0058] The data collection module 11 is used to receive the image information of the coal storage yard acquired by the drone and the POS data information of the drone, and send the image information and the POS data information of the drone to the image processing module;

[0059] The image processing module 12 is used to calculate the parameters of the camera based on the motion recovery structure algorithm according to the image information and the POS data information of the drone, and construct a three-dimensional sparse point cloud model according to the parameters, and perform a dense point cloud according to the three-dimensional sparse point cloud model. The model is reconstructed, and the 3D model of the coal field is construc...

Embodiment 2

[0095] This embodiment provides a vision-based method for panning coal, such as Figure 7 shown, including steps:

[0096] S11. Receive the image information of the coal storage yard acquired by the drone and the POS data information of the drone, and send the image information and the POS data information of the drone to the image processing module;

[0097] S12. Calculate the parameters of the camera based on the motion recovery structure algorithm based on the image information and the POS data information of the drone, and construct a three-dimensional sparse point cloud model according to the parameters;

[0098] S13. Reconstruct the dense point cloud model according to the 3D sparse point cloud model, and construct a 3D model of the coal field based on the 3D reconstruction algorithm and texture mapping according to the dense point cloud model;

[0099] S14. Integrate the selected area in the three-dimensional model to calculate the volume of the coal pile, and calculat...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a coal inventory system based on vision, which comprises a data acquisition module and an image processing module, and is characterized in that the data acquisition module is connected with the image processing module; the data acquisition module is used for receiving image information of a coal storage yard and POS data information of an unmanned aerial vehicle acquired bythe unmanned aerial vehicle, and sending image information and POS data information of the unmanned aerial vehicle to the image processing module; the image processing module is used for calculatingparameters of a camera based on a motion recovery structure algorithm according to the image information and POS data information of the unmanned aerial vehicle, constructing a three-dimensional sparse point cloud model according to the parameters, and reconstructing a dense point cloud model according to the three-dimensional sparse point cloud model;constructing a three-dimensional model of thecoal yard based on a three-dimensional reconstruction algorithm and texture mapping according to the dense point cloud model and carrying out integration on a selected area in the three-dimensional model to calculate the volume of the coal pile, and calculating the weight of the coal pile according to the coal type of the selected area and the corresponding density.

Description

technical field [0001] The invention relates to the technical field of machine vision, in particular to a vision-based coal panning system and method. Background technique [0002] Coal panning refers to the amount of coal stored in thermal power plants. Traditional coal panning methods are mainly manual coal panning and laser panning. Manual coal panning can only be used for small-scale coal storage yards. Stack them into regular cuboids or prisms, and then use a tape measure or a more precise measuring instrument to calculate the volume of the coal pile and estimate the coal reserves; the laser pan coal uses laser dots to construct a three-dimensional point cloud, and further calculates the coal reserves. Although it is accurate and efficient, it is cost-effective. High, difficult to implement, difficult to popularize. Therefore, the traditional coal pile measurement has the disadvantages of heavy workload, low efficiency, inaccurate measurement and high cost. [0003] W...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G06T17/10G06T15/04G06T5/00
CPCG06T5/002G06T15/04G06T17/10G06T2207/10004G06T2207/30132
Inventor 张方沈润杰刘晨旭李一飞江其洪刘龙翔
Owner 福建华电可门发电有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products