重庆智能温室-物联网控制系统-实时检测温室环境

智能温室-物联网控制系统，数据来源各种各样，处理不同层次的资源数据会导致物联网控制系统演变成复杂大系统。面在控制领域，智能控制理论是解决复杂大系统问题的重要方法。智能控制代表着控制学科发展的进程，智能控制的几个重要分支为专家控制、模糊控制、神经网络控制和学习控制。

The intelligent greenhouse Internet of things control system has a variety of data sources, processing different levels of resource data will lead to the evolution of the Internet of things control system into a complex large system. In the field of control, intelligent control theory is an important method to solve complex large-scale system problems. Intelligent control represents the latest development of control science. Several important branches of intelligent control are expert control, fuzzy control, neural network control and learning control.

温室物联网控制系统的控制方法：在物联网控制系统中，控制器的设计和优化，能够使被控对象具有的控制品质，也是体现物联网高度智能特色的重要保证。下面将从改善网络性能以及智能控制理论的角度来对控制方法进行探讨。改善网络性能的控制方法：控制系统从本地闭环控制发展到网络控制，网络本身的特性就会影响控制系统的性能，因此可以从提高网络性能方面提出控制方法的设计和改进。

Control method of greenhouse Internet of things control system: in the Internet of things control system, the design and optimization of controller can make the controlled object have excellent control quality, and it is also an important guarantee to reflect the high intelligent characteristics of the Internet of things. The following will improve the network performance and intelligent control theory to explore the control method. Control method to improve the network performance: the control system develops from local closed-loop control to network control, and the characteristics of the network itself will affect the performance of the control system. Therefore, the design and improvement of the control method can be proposed from the aspect of improving the network performance.

智能温室-物联网控制系统-时延、带宽、吞吐量等是网络的重要性能指标，而在物联网环境下，时延参数尤为突出。作为物联网末端的传感器数量众多，分布广泛，收集到的数据也相当庞杂，大量信息通过网络传递到应用层，会对网络层带来过重负荷，导致网络传输时延的加剧；此外，发送给执行器的控制信号如何通过网络快速及时地传递也对时延指标提出要求。因此设计网络控制算法，有效补偿网络时延，确保整个控制系统的稳定性和鲁棒性一直是研究的热点问题。随着物联网相关技术的飞速发展，以及控制理论的不断完善，两者结合下的物联网控制系统的体系特点就由原来的封闭式转变为开放式，适用领域也会越来越广泛。但是物联网本身的特性也为控制系统的构建带来了诸多不可控因素和难度。如何保证开放环境下控制的智能化、实时性、性,以及低功耗，都是未来重要的关注点。

Intelligent greenhouse Internet of things control system delay, bandwidth, throughput are important performance indicators of the network, and in the environment of the Internet of things, the delay parameters are particularly prominent. As the end of the Internet of things, the number of sensors is numerous and widely distributed, and the collected data is also very complex. A large amount of information is transmitted to the application layer through the network, which will bring heavy load to the network layer, resulting in the aggravation of network transmission delay. In addition, how to transmit the control signal to the actuator quickly and timely through the network also puts forward requirements for the delay index. Therefore, the design of network control algorithm to effectively compensate the network delay and ensure the stability and robustness of the whole control system has been a hot issue. With the rapid development of Internet of things related technology, as well as the continuous improvement of control theory, the system characteristics of the Internet of things control system under the combination of the two will change from the original closed type to the open type, and the application field will be more and more extensive. However, the characteristics of the Internet of things also bring many uncontrollable factors and difficulties to the construction of control system. How to ensure the intelligence, real-time, security and low power consumption of control in open environment are important concerns in the future.