ATLAS TC-4000-S 控制模块

ATLAS TC-4000-S  控制模块

ATLAS TC-4000-S  控制模块

在控制系统中，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。

当前，我国智能化领域最薄弱、最需要发展的是仪器、仪表、传感器等基础产业。随着科学技术的飞速发展和自动化程度的不断提高，我国仪器仪表行业也将发生新的变化并获得新的发展。仪器仪表产品的高科技化，特别是智能化，将成为日后仪器仪表科技与产业的发展主流。

传统的控制领域正经历着一场前所未有的变革，开始向网络化方向发展。控制系统的结构从最初的CCS（计算机集中控制系统），到第二代的DCS（分散控制系统），发展到现在流行的FCS（现场总线控制系统）。对诸如图像、语音信号等大数据量、高速率传输的要求，又催生了工业以太网与控制网络的结合。

ATLAS TC-4000-S  控制模块

In the control system, instruments and meters are its constituent elements, and its technical progress follows the development of control system technology. At present, the control theory has developed to a new stage of intelligent control, and the intelligentization of automatic instruments and meters has become inevitable.

The intellectualization of instruments and meters is mainly attributed to the development and application of microprocessor and artificial intelligence technology.

For example, using intelligent technologies such as neural network, genetic algorithm, evolutionary computation and chaos control, instruments and meters can achieve high speed, high efficiency, multi-function and high flexibility.

Another example is the use of fuzzy reasoning technology of fuzzy rules to make various types of fuzzy decisions on various fuzzy relations of things.

For another example, using software to realize signal filtering, such as fast Fourier transform, short-time Fourier transform and wavelet transform, is an effective way to simplify hardware, improve signal-to-noise ratio and improve sensor dynamic characteristics.

For example, make full use of the powerful self-learning, self-adaptation and self-organization capabilities of artificial neural network technology, the functions of association and memory, and the black-box mapping characteristics between input and output of nonlinear complex relationships.

At present, the basic industries such as instruments, meters and sensors are the weakest and most in need of development in the field of intelligence in China. With the rapid development of science and technology and the continuous improvement of automation, China's instrument industry will also undergo new changes and obtain new development. High-tech instrumentation products, especially intelligence, will become the mainstream of instrumentation technology and industry in the future.

The traditional control field is undergoing an unprecedented change and is beginning to develop in the direction of networking. The structure of control system has developed from CCS (computer centralized control system) to DCS (distributed control system) of the second generation to FCS (field bus control system) which is popular now. The demand for large data volume and high-speed transmission, such as images and voice signals, has given birth to the combination of industrial Ethernet and control network.