Maggot Separation and Drying System with Intelligent Light Control

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

Current maggot separation and breeding systems have low efficiency and unsatisfactory breeding environments, leading to waste and environmental pollution, as existing automatic devices are not effective in separating maggots from feed efficiently.

Innovation Solution

An intelligent separation and drying system incorporating an intelligent light control unit, scraping unit, separation unit, drying unit, and central control unit, utilizing sunlight, multi-layered scrapers, solar energy, and machine learning algorithms to automate the separation and drying process, leveraging maggot growth characteristics for efficient and clean separation and drying.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If automatic separation devices are used to improve separation efficiency, then productivity increases, but device complexity increases

Engineering Contradiction:
Improveseparation efficiencyVSAvoiddevice complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The separation device is divided into multiple independent components: a shaking mechanism with adjustable frequency, a blowing mechanism with adjustable air flow, and a collecting mechanism. Each component performs a specific function and can be independently controlled, resolving the contradiction by modularizing the complex separation process into manageable segments that collectively achieve high efficiency.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The device incorporates adjustable shaking frequency and controllable air blowing strength, allowing dynamic adaptation to different maggot sizes, feed types, and separation requirements. This dynamic control enables the system to maintain high separation efficiency across varying operational conditions without requiring multiple fixed-configuration devices, thus managing complexity while preserving productivity.

Inventive Principle:
Principle #15Dynamics

2Ease of manufacture

If artificial vibration of sieve is used for separation, then ease of manufacture is maintained, but productivity decreases

Engineering Contradiction:
Improveease of manufactureVSAvoidseparation efficiency
Core Design Contradiction:
Ease of manufactureVSProductivity

Solution Approach 1:

The device uses automatic shaking and air blowing mechanisms that operate without manual intervention. The shaking mechanism automatically vibrates the sieve to separate maggots from feed, and the blowing mechanism automatically removes lighter impurities. This self-service automation maintains ease of manufacture by using simple mechanical components while dramatically improving productivity over manual vibration methods.

Inventive Principle:
Principle #25Self-service

3Manufacturing precision

If separation purity is improved through multiple mechanisms, then manufacturing precision increases, but device complexity increases

Engineering Contradiction:
Improveseparation purityVSAvoiddevice complexity
Core Design Contradiction:
Manufacturing precisionVSDevice complexity

Solution Approach 1:

The device merges two separation mechanisms into one integrated system: mechanical shaking separation for primary maggot-feed separation, and air blowing for secondary removal of light impurities. This combination achieves high separation purity (95% or more) by layering separation stages, while the integrated design manages complexity through coordinated control of both mechanisms within a single device structure.

Inventive Principle:
Principle #5Merging (Combining)

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

The system achieves high-efficiency, automatic, and clean separation and drying of maggots, reducing labor and environmental impact, while improving maggot quality and purity through self-monitoring and resource-efficient use of solar energy.

Implementation Method 1

an infrared sensor to detect a biomass of the maggots

Methodology Applied
Scientific EffectInfrared radiation detection: Infrared Radiation

Implementation Method 2

an additional light to illuminate the breeding tray when the biomass of the maggots is more than a preset value, to guide the maggots to move towards the sieve

Methodology Applied
Scientific EffectPhototaxis:

Implementation Method 3

the scraper is moved forward by gravity when the additional light is off

Methodology Applied
Scientific EffectGravity: Gravitation

Implementation Method 4

a solar panel to convert the sunlight into an electricity

Methodology Applied
Scientific EffectPhotovoltaic effect: Photovoltaic Effect

Implementation Method 5

a reflective film attached to an interior of the light transmission zone to transmit sunlight

Methodology Applied
Scientific EffectLight reflection: Reflection

Implementation Method 6

a heat collector to collect the sunlight

Methodology Applied
Scientific EffectSolar thermal conversion: Solar Energy

Implementation Method 7

the dried maggots on the upper partition plate are moved to the lower partition plate by a blower

Methodology Applied
Scientific EffectAir flow:

Data Source

PatentUS11445711B2Intelligent separation and drying system for maggots and method of operating same
Publication Date: 2022.09.20 LISHUI INST OF ECOLOGY ENVIRONMENT NANJING UNIV
  • US11445711B2 patent drawing
  • US11445711B2 patent drawing
  • US11445711B2 patent drawing

AI summary

Disclosed are an intelligent separation and drying system for maggots and a method of operating the same. The intelligent separation and drying system includes an intelligent light control unit, an intelligent scraping unit, a separation unit, a drying unit, a travelling unit and a central control unit. The central control unit is connected to other units through signals. Multidisciplinary techniques, including spectrum analysis, machine learning algorithm and artificial neural network, are combined to automatically, systematically, intelligently and continuously separate maggots and maggot feed as well as dry the maggots with high efficiency in a clean manner.