Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Grass and original ecology data monitoring and intelligent decision-making integrated solution system

A data monitoring and intelligent decision-making technology, applied in the field of Internet communication technology and artificial intelligence, it can solve the problems of data aggregation and analysis errors, limited data resolution, and inability to be returned in time, achieving low transmission delay, wide coverage, The effect of improving classification recognition

Active Publication Date: 2021-06-18
INNER MONGOLIA UNIVERSITY
View PDF6 Cites 10 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The staff can remotely obtain the changes in the species and quantity of insects in the area at any time, but due to the limited resolution of the collected data and cannot be returned in time, there are always certain errors in data aggregation and analysis

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
  • Grass and original ecology data monitoring and intelligent decision-making integrated solution system
  • Grass and original ecology data monitoring and intelligent decision-making integrated solution system
  • Grass and original ecology data monitoring and intelligent decision-making integrated solution system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0087] see figure 1 , under the framework of the air-space-ground integrated communication system, the present invention utilizes UAVs equipped with multiple wireless sensors and multi-device collaboration acquisition methods to achieve ecological data perception with wide dynamic coverage and low data transmission delay. This function mainly realizes the collection of ecological environment data and ecological video data of the target area, and will provide data support for the subsequent ecological data analysis function. The whole design idea is to firstly use multi-UAV cooperation to realize dynamic area acquisition with wide coverage, and then upload massive data to the cloud server through access to 5G or satellite communication network, and display the video data of the target area in real time on the ground station interface , and use the Alibaba Cloud OSS storage service to store data in a fixed file path in an orderly manner for subsequent data query, modification, a...

Embodiment 2

[0101] The main modules involved in this system include: ecological environment data acquisition module, video data acquisition module in the target area, sensor module, data processing module and cloud service platform module, which are described as follows:

[0102] Ecological environment data collection module:

[0103] see image 3 and Figure 4 , ecological environment data monitoring mainly includes the acquisition of four types of data: water, soil, land, and light. There are many factors such as the need to compare and correct the data of multiple sensors of the same type with the same coverage radius, the sensor material should be heat-resistant and wind-resistant, and the sensor’s sensitivity to environmental perception. Therefore, sensors with high sensitivity and materials suitable for outdoor deployment are selected. The sensitive element converts the perceived ecological environment signal into a voltage signal that can be sampled through the signal conditionin...

Embodiment 3

[0121] The grassland plant classification recognition algorithm based on convolutional neural network involves modules including: data enhancement module, feature extraction network module, classification recognition module, attention mechanism module and GUI interface module (see Figure 11 ).

[0122] Data augmentation module:

[0123] Using single-sample ensemble transformations as well as multi-sample synthetic data augmentation. (1) Single-sample collection Transformation includes flipping, rotating, translating, cropping, and scaling. This method does not change the image itself, but only selects a part of the image or redistributes the pixel space. The schematic diagram of single-sample data enhancement is as follows: Figure 13 shown. (2) Multi-sample synthetic data enhances CutMix, randomly generates a cropping frame, cuts out the corresponding position in image A, and then uses the ROI of the corresponding position in image B to be placed in the cropped area in i...

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 grassland ecological data monitoring and intelligent decision-making integrated solution system, which comprises an ecological environment data acquisition module, a target area video data acquisition module, a sensor module, a data processing module and a cloud service platform module, the system can establish a cloud ecological database for a large-scale grassland ecological environment in a short time, and can perform a series of scientific analysis and decision-making on the ecological state of a target area from multiple dimensions in combination with big data and artificial intelligence application, including plant variety identification, ecological disaster early warning and plant disease and insect pest degree analysis. A user can take reasonable improvement measures while fully knowing the ecological state of the target area, valuable scientific research data is provided for scientific research personnel, and powerful technical support is formed for restoration and protection of the grassland ecological environment.

Description

technical field [0001] The invention relates to the fields of Internet communication technology and artificial intelligence, in particular to an integrated solution system for grassland ecological data monitoring and intelligent decision-making. Background technique [0002] Grassland is one of the most widely distributed ecosystems in the world, accounting for about 26% of the total land area, providing a wide variety of vegetation and ecosystem services for global agriculture and animal husbandry. Grasslands are also a huge carbon storage pool. 17% of my country's terrestrial carbon storage comes from grasslands, which play an important role in maintaining the carbon balance of the ecosystem. Grasslands have irreplaceable resource value and ecological functions. Protecting grasslands has global sexual significance. Optimizing the construction of the ecological environment in the grassland area and maintaining the biodiversity of the grassland can promote the sustainable, c...

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
Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06N3/047G06N3/045G06F18/24G06F18/2415G06F18/253
Inventor 刘洋柴进李雅婷连尹博张秋彤韩宇飞
Owner INNER MONGOLIA UNIVERSITY
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products