FAIR RITE VO ICS TRIPLEX CPU模块

FAIR RITE VO ICS TRIPLEX  CPU模块

FAIR RITE VO ICS TRIPLEX  CPU模块中，仪器仪表作为其构成元素，它的技术进展是跟随控制系统技术的发展而发展的。目前，控制理论已发展到智能控制的新阶段，自动化仪器仪表的智能化就成为必然了。

仪器仪表的智能化主要归结于微处理器和人工智能技术的发展与应用。

例如运用神经网络、遗传算法、进化计算、混沌控制等智能技术，使仪器仪表实现高速、高效、多功能、高机动灵活等性能。

再如，运用模糊规则的模糊推理技术，对事物的各种模糊关系进行各种类型的模糊决策。

又如，用软件实现信号滤波，如快速傅立叶变换、短时傅立叶变换、小波变换等技术，是简化硬件，提高信噪比，改善传感器动态特性的有效途径。

还如，充分利用人工神经网络技术强有力的自学习、自适应、自组织能力，联想、记忆功能以及对非线性复杂关系的输入、输出间的黑箱映射特性等。

FAIR RITE VO ICS TRIPLEX  CPU模块

FAIR RITE VO ICS TRIPLEX CPU module, instrumentation as its constituent elements, its technical progress is followed by the development of control system technology and development. At present, the control theory has developed to a new stage of intelligent control, and the intelligence of automatic instruments and meters has become 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 networks, genetic algorithms, evolutionary computing and chaos control are used to 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.

For example, make full use of artificial neural network technology powerful self-learning, self-adaptation, self-organization ability, association, memory function and black-box mapping characteristics between input and output of non-linear complex relations.

FAIR RITE VO ICS TRIPLEX  CPU模块