DSDO115A 3BSE018298R1 | 控制模塊 | DSDI110AV1 3BSE018295R1
型號:DSDO115A 3BSE018298R1
類別:控制模塊
成色:全新/非全新
快遞:順豐/德邦
質(zhì)保:一年
貨期:現(xiàn)貨
產(chǎn)品凈深:350 mm
產(chǎn)品凈高:20 mm
產(chǎn)品凈寬:255 mm
產(chǎn)品凈重:0.44 kg
DSDO115A 3BSEO18298R1 ABB DCS系統(tǒng) 控制模塊中，儀器儀表作為其構(gòu)成元素，它的技術(shù)進展是跟隨控制系統(tǒng)技術(shù)的發(fā)展而發(fā)展的。目前，控制理論已發(fā)展到智能控制的新階段，自動化儀器
儀表的智能化就成為必然了。
儀器儀表的智能化主要歸結(jié)于微處理器和人工智能技術(shù)的發(fā)展與應用。
例如運用神經(jīng)網(wǎng)絡、選傳算法、進化計算、混沌控制等智能技術(shù)，使儀器儀表實現(xiàn)高速、高效、多功能、高機動靈活等性能。
再如，運用模糊規(guī)則的模糊推理技術(shù)，對事物的各種模糊關(guān)系進行各種類型的模糊決策。
又如，用軟件實現(xiàn)信號濾波，如快速傅立葉變換、短時傅立葉變換、小波變換等技術(shù)，是簡化硬件，提高信噪比，改善傳感器動態(tài)特性的有效途徑.
還如，充分利用人工神經(jīng)網(wǎng)絡技術(shù)強有力的自學習、自適應、自組織能力，聯(lián)想、記憶功能以及對非線件復雜關(guān)系的輸入、輸出間的里箱映射特件等,。
Model :DSDO115A 3BSE018298R1
Category: Control module
Finish: New/not new
Express: SF Express/Debon
Warranty: One year
Delivery time: from stock
Product depth :350 mm
Product height :20 mm
Product net width :255 mm
Net weight: 0.44kg
DSDO115A 3BSEO18298R1 ABB DCS system control module, instrumentation as its constituent elements, its technical progress is to follow the development of control system technology and development. At present, control theory has developed to a new stage of intelligent control, automated instruments
The intelligence of the instrument becomes inevitable.
The intelligence of instrumentation is mainly attributed to the development and application of microprocessor and artificial intelligence technology.
For example, intelligent technologies such as neural network, selective transmission algorithm, evolutionary computing, chaos control are used to make instruments achieve high speed, high efficiency, multi-function, high mobility and flexibility.
Another example is to use fuzzy reasoning technology of fuzzy rules to make various types of fuzzy decisions for various fuzzy relations of things.
For another example, using software to realize signal filtering, such as fast Fourier transform, short-time Fourier transform, wavelet transform and other technologies, is an effective way to simplify hardware, improve signal-to-noise ratio, and improve the dynamic characteristics of sensors.
Also, make full use of the strong self-learning, self-adaptation, self-organization ability of artificial neural network technology, association, memory function, and the box mapping feature between the input and output of the complex relationship between non-linear parts.
