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Method for conducting central air conditioner energy-saving regulation and control with artificial intelligence expert system

An expert system and artificial intelligence technology, applied in the direction of machinery and equipment, can solve problems such as low efficiency and achieve the effect of improving safety

Pending Publication Date: 2020-08-04
数方节能科技(烟台)有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, many measurement and control software require the user interface to have an appearance similar to that of real instruments, and thousands of codes are needed to realize it with VC, which is too inefficient

Method used

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  • Method for conducting central air conditioner energy-saving regulation and control with artificial intelligence expert system
  • Method for conducting central air conditioner energy-saving regulation and control with artificial intelligence expert system
  • Method for conducting central air conditioner energy-saving regulation and control with artificial intelligence expert system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0068] Operational model

[0069] 1. CF model

[0070] CF(H,E)=MB(H,E)-MD(H,E)

[0071] trust growth

[0072] Growth of distrust

[0073]

[0074] Credibility

[0075] When MB(H,E)>0, MD(H,E)=0

[0076] When MD(H,E)>0, MB(H,E)=0

[0077] 0≤MB(H,E)≤1,0≤MD(H,E)≤1,-1≤CF(H,E)≤1

[0078]

[0079] CF(H,E)+CF(⁄H,E)=(MB(H,E)-MD(H,E))+(MB(⁄H,E)-MD(⁄H,E))

[0080] =(MB(H,E)-0)+(0-MD(H,E)) (by mutual exclusion)

[0081] = MB (H, E) - MD (H, E) = 0

[0082] It shows: (1) the growth degree of trust in H is equal to the growth degree of distrust in non-H; (2) the sum of the credibility of H and the credibility of non-H is equal to 0; (3) the credibility is not Probability, not satisfying P(H)+P(⁄H)=1 and 0≤P(H), P(⁄H)≤1

[0083]

[0084] Conjunction CF(E)=min{CF(E1), CF(E2),..., CF(En)}

[0085] Disjunction CF(E)=max{CF(E1), CF(E2), ..., CF(En)}

[0086] Uncertainty update formula CF(H)=CF(H, E)×max{0, CF(E)}

[0087] Comprehensive reliability of E1 and E2 for H

...

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Abstract

The invention discloses a method for conducting central air conditioner energy-saving regulation and control with an AI expert system. Through use of an AI learning module and a computer cloud servermodule, automatic adjustment is conducted, the autonomous learning capacity is achieved, and autonomous adjustment is conducted on a main area central air conditioner module. The method for conductingcentral air conditioner energy-saving regulation and control with the AI expert system is characterized in that the main area central air conditioner module, the computer cloud server module, an AI learning module and a time module are involved; when a time signal and a time reference signal are identical, the computer cloud server module transmits collected electric energy parameters to the AI learning module, and the computer cloud server module resets the time module and enables the time module to conduct timing again at the same time; when the main area central air conditioner module cannormally work according to a regulation signal, a feedback signal is output; and after the computer cloud server module receives the feedback signal of the main area central air conditioner module, the AI learning module stores the regulation signal. The method for conducting central air conditioner energy-saving regulation and control with the AI expert system improves the safety and reliabilityof a system and can prevent and completely eradicate generation and spreading of faults influencing normal operation of the system.

Description

technical field [0001] The invention relates to a method for intelligent regulation and control by artificial intelligence (AI), in particular to an artificial intelligence energy-saving system for a central air conditioner. Background technique [0002] With the rise and rapid development of intelligent buildings, the scale of the central air-conditioning system and its automatic control system is becoming larger and larger, and the types and quantities of equipment are increasing, so the complexity of the system is getting higher and higher. During the operation of the system, various failures will inevitably occur: the valve is stuck or leaks, the coil is seriously scaled and the heat exchange is poor, the reading of the thermometer or pressure gauge is inaccurate, the filter is clogged, the fan or the pump motor is burned , The fan belt is loose, etc. If these failures are not eliminated in time, it will inevitably cause the system operating parameters to seriously devi...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): F24F11/58F24F11/52F24F11/47
CPCF24F11/47F24F11/52F24F11/58
Inventor 信维辉曹兴文钟成圆纪涛林海林崔颖倩刘英鲁春阳
Owner 数方节能科技(烟台)有限公司
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