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Internet-of-things optimization method for indoor light and temperature control

An optimization method and temperature control technology, applied in the direction of adaptive control, general control system, control/regulation system, etc.

Inactive Publication Date: 2015-09-09
BINZHOU UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In the prior art, there is no method of using the discrete particle swarm optimization algorithm to optimize the control of the motor through the measured illuminance and temperature data.

Method used

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Examples

Experimental program
Comparison scheme
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Embodiment Construction

[0009] The invention provides an Internet of Things optimization method for indoor illumination temperature control, which establishes a motor operation control matrix according to the indoor temperature and illumination data measured by a single-chip microcomputer. According to the real-time measurement of light and temperature data, the discrete particle swarm algorithm is used for control optimization, and further real-time motor control is carried out.

[0010] The temperature T measured by the temperature sensor i , measure the difference ΔT according to the time before and after i The value of is set to {-2,-1,0,1,2}, where 1 represents that the temperature change at each sampling point is about 0.1°C. The illuminance measured by the external light sensor is L i , measure the difference △L according to the time before and after i The value of is {-2,-1,0,1,2}, where 1 represents that the illumination change at each sampling point is about 10lm. The rotation angle of ...

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PUM

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Abstract

The invention discloses an Internet-of-things optimization method for indoor light and temperature control. The method is characterized by comprising the steps of establishing a motor operation control matrix according to indoor temperature and light data measured by a single chip microcomputer, using a discrete particle swarm algorithm to optimize control according to the light and temperature data measured in real time, and further carrying out real-time motor control. The temperature is measured by a temperature sensor and the light is measured by a light sensor; then, the relationship between temperature change and motor rotation is determined though a particle swarm optimization algorithm; and finally, motor rotation is controlled accurately.

Description

technical field [0001] The invention belongs to the technical field of communication devices, and relates to an Internet of Things optimization method for indoor lighting temperature control. Background technique [0002] Particle swarm optimization, also known as Particle Swarm Optimization, abbreviated as PSO, is a new evolutionary algorithm (Evolutionary Algorithm-EA) developed in recent years. The PSO algorithm is a kind of evolutionary algorithm. Similar to the simulated annealing algorithm, it also starts from a random solution and finds the optimal solution through iteration. It also evaluates the quality of the solution through fitness, but it is simpler than the genetic algorithm rules. It does not have the "Crossover" (Crossover) and "Mutation" (Mutation) operations of the genetic algorithm, it finds the global optimum by following the current searched optimum value. [0003] PSO draws inspiration from this model and uses it to solve optimization problems. In PSO...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G05B13/04
Inventor 赵春波
Owner BINZHOU UNIV