Self-adaptive control method for dynamic optimization of environment quality

A technology of environmental quality and dynamic optimization, applied in the direction of comprehensive factory control, comprehensive factory control, electrical program control, etc., can solve problems such as lack of availability, and achieve the effect of improving automation

Active Publication Date: 2013-07-10
SHANGHAI JIAO TONG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0016] Therefore, those skilled in the art are devoting themselves to developing an adaptive and dynamically optimized control method for environmental quality, which solves the shortcomings of not having the direct connection between environmental quality status parameters and target status parameters in the past, and then performs

Method used

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  • Self-adaptive control method for dynamic optimization of environment quality

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Effect test

Embodiment 1

[0048] The environmental quality status parameter 2 in the embodiment is the air temperature, specifically air temperature.

[0049] In the embodiment, the target is an animal, specifically a pig, and the target condition parameter 1 is the weight of the pig.

[0050] The sub-equipment used in the embodiment has the function of adjusting the air temperature, specifically including: first, ventilation equipment, specifically including four 1.1kw axial flow fans, with a single air volume of 10200m 3 / h, the equipment can effectively adjust the air temperature; second, the heating equipment, including two ground source hot air fans for heating, and the circulating air volume of a single unit is 6000m 3 / h, the rated heating capacity of a single unit is 18KW, the rated heating power of a single unit is 4.5KW, the refrigerant charge of a single unit is 4430g, and the groundwater flow rate of a single unit is 2m 3 / h, the device can effectively adjust the air temperature.

[0051]...

Embodiment 2

[0065] The environmental quality status parameter 2 in the embodiment is air pressure.

[0066] In the embodiment, the target is a person, and the target condition parameter 1 is the breathing rate of the person.

[0067]The sub-equipment used in the embodiment has the function of adjusting the breathing rate of a person, specifically including: first, ventilation equipment, specifically including four 1.1kw axial flow fans, with a single air volume of 10200m 3 / h, the equipment can effectively adjust the oxygen content and air pressure in the air; second, the oxygen production equipment, including two vacuum pressure swing adsorption oxygen generators, the oxygen production of a single unit is 2000Nm 3 / h, the purity of a single oxygen generator is 90%-94%, the total installed power of a single unit is 1200KW, and the cooling water consumption of a single unit is 12t / h. This equipment can effectively adjust the indoor oxygen content and indirectly adjust the air pressure.

...

Embodiment 3

[0082] The environmental quality condition parameter 2 in the embodiment is the air flow condition parameter.

[0083] In the embodiment, the target is an animal, specifically a pig, and the target condition parameter 1 is the weight of the pig.

[0084] The sub-equipment used in the embodiment has the function of adjusting the flow condition parameters of the air, specifically including, first, the ventilation equipment, specifically including four 1.1kw axial flow fans, and the single air volume is 10200m 3 / h, the device can effectively adjust the air flow parameters.

[0085] The control software in the target state parameter database subsystem, decision-making subsystem, and environmental quality adjustment subsystem constructed in the embodiment is set to run on three different servers, and the data transmission among them is realized through Ethernet and wireless network.

[0086] The decision-making period selected in the embodiment is 24 hours. It should be noted th...

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Abstract

The invention discloses a self-adaptive control method for dynamic optimization of environment quality. The environment quality can be optimized and controlled aiming at specific object condition parameters and ideal object condition parameters are automatically and artificially set just by measuring target condition parameters and adopting a set of self-adaptive automatic control method. According to the self-adaptive control method for dynamic optimization of the environment quality, the investment cost is low, the university is good, the labor cost is reduced and the environment quality can be controlled scientifically and effectively, human being, animals, microorganisms and plants can be protected to live and grow in a favorable environment, and diseases caused by the environment quality problem is reduced. Single or multiple object condition parameters influencing the health of human beings are effectively improved. Single or multiple object condition parameters influencing economic indexes of the plants, microorganisms and animals are effectively improved.

Description

technical field [0001] The invention relates to the field of environmental quality control, in particular to an adaptive and dynamically optimized environmental quality control method. Background technique [0002] Factors affecting environmental quality generally include: first, air temperature; second, air pressure; third, air flow parameters; fourth, solid, liquid, and gas components in the air; fifth, solid, Concentration of liquid and gas components; Sixth, the illuminance in the air; Seventh, the temperature of the soil; Eighth, the solid, liquid and gas components in the soil; Ninth, the concentration of solid, liquid and gas components in the soil; Tenth, water temperature; eleventh, water flow parameters; twelfth, solid, liquid, and gas components in water; thirteenth, concentration of solid, liquid, and gas components in water; fourteenth, illuminance in water . When the target involved is a human being, these factors primarily affect human health. When the targ...

Claims

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Application Information

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IPC IPC(8): G05B19/418
CPCY02P90/02
Inventor 侯中宇潘元志
Owner SHANGHAI JIAO TONG UNIV
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