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Fog calculation monitoring technology for famous high-quality flower and medicinal plant cultivation in intelligent plant factory environment

A technology for medicinal plants and fog computing, which is applied to services, instruments, network topology, etc. based on specific environments, and can solve the problems of difficult breakthroughs in network delays and slow declines.

Active Publication Date: 2020-09-29
ZHEJIANG UNIV CITY COLLEGE
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Although the existing monitoring technology for the fine cultivation of plant factories provides an efficient computing platform for various environmental perception data processing, the current growth rate of network bandwidth is far behind the growth rate of data, and the decline rate of network bandwidth costs is faster than CPU The decline in the cost of hardware resources such as memory and memory is much slower. At the same time, the complex network environment makes it difficult to make a breakthrough in network latency.

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  • Fog calculation monitoring technology for famous high-quality flower and medicinal plant cultivation in intelligent plant factory environment
  • Fog calculation monitoring technology for famous high-quality flower and medicinal plant cultivation in intelligent plant factory environment
  • Fog calculation monitoring technology for famous high-quality flower and medicinal plant cultivation in intelligent plant factory environment

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Embodiment 1

[0052] A plant factory monitoring system for famous and high-quality flowers and medicinal plants under the environment of an intelligent plant factory, comprising: a plant factory data collection module, a fog collection module, a cloud storage module, and a monitoring system visualization module; the plant factory data collection module passes through WiFi or Bluetooth Connect the fog collection module for data transmission, the fog collection module uploads data to the cloud storage module, and the monitoring system visualization module reads data from the cloud storage module. The plant factory data acquisition module is provided with sensors, and the sensors include temperature sensors, carbon dioxide sensors and humidity sensors; the fog acquisition module is used for data scale estimation, adaptive sampling and adaptive filtering; the cloud storage module It is used for uploading data to the cloud and backing up data locally; the monitoring system visualization module is...

Embodiment 2

[0054] The fog computing monitoring technology of the monitoring system of the famous flower and medicinal plant cultivation factory under the intelligent plant factory environment of the present invention comprises the following steps, such as figure 1 Shown:

[0055] A. The plant factory is divided into regions, and several local devices are deployed in each region to collect sensor data such as temperature, humidity and carbon dioxide:

[0056] Step A includes the following steps:

[0057] Build a sensor network and collect relevant information according to the monitoring strategy of the fog computing module, such as temperature and humidity, carbon dioxide, and soil pH. The monitoring area is divided for each local fog computing device, and the relevant data collected by all sensors in the monitoring area are transmitted to the local device for subsequent forwarding.

[0058] B. After each local device collects the sensing data, it estimates the subsequent data scale loc...

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Abstract

The invention relates to a fog calculation monitoring technology for famous flower and medicinal plant cultivation in an intelligent plant factory environment, and the technology comprises the steps:1, building a sensing network, carrying out the regional division of a plant factory, and uploading the collected sensing data to a fog collection module; 2, after each local equipment collects sensing data, enabling the local equipment to send the sensing data to the server; and estimating the subsequent data scale locally through a lightweight data scale estimation model to adjust the forwardingamount, processing the sensing data through a local adaptive sampling model and an adaptive filtering model, and finally forwarding the processed sensing data to a cloud server through a forwarding device according to the adjusted forwarding amount. The beneficial effects of the technology are that the technology achieves the estimation of the transmission flow of environment parameter data collected by a sensor in the growth process of famous flowers and plants based on a lightweight estimation model, filters a sensing data flow through the adaptive sampling and adaptive filtering technology, and achieves the real-time monitoring of a proper amount of effective sensing data through fog calculation.

Description

technical field [0001] The present invention relates to the field of monitoring technology based on fog computing mode, especially including a fog computing monitoring technology for the cultivation of famous flowers and medicinal plants in the environment of intelligent plant factories; through the establishment of low power consumption approximate estimation of sensor data collection in the environment of plant factories Model, self-adaptive sampling model and self-adaptive filtering model, realize the monitoring of environmental parameters of famous flowers and medicinal plants cultivation in the intelligent plant factory environment. Background technique [0002] With the development of modern biotechnology, planting technology and Internet of Things technology, plant factories use thermal insulation and opaque materials as enclosure structures, strictly control the gas exchange with the external environment, and use artificial light sources to provide light for plants, m...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L29/08H04W4/38H04W4/80H04W84/18G16Y10/05G16Y20/10G16Y40/20
CPCH04L67/025H04L67/12H04W4/38H04W4/80H04W84/18G16Y10/05G16Y20/10G16Y40/20
Inventor 陈垣毅郑增威周铭煊霍梅梅陈丹蔡建平
Owner ZHEJIANG UNIV CITY COLLEGE