重慶智能溫室-物聯(lián)網(wǎng)控制系統(tǒng)-實時檢測溫室環(huán)境

智能溫室-物聯(lián)網(wǎng)控制系統(tǒng)，數(shù)據(jù)來源各種各樣，處理不同層次的資源數(shù)據(jù)會導(dǎo)致物聯(lián)網(wǎng)控制系統(tǒng)演變成復(fù)雜大系統(tǒng)。面在控制領(lǐng)域，智能控制理論是解決復(fù)雜大系統(tǒng)問題的重要方法。智能控制代表著控制學(xué)科發(fā)展的進(jìn)程，智能控制的幾個重要分支為專家控制、模糊控制、神經(jīng)網(wǎng)絡(luò)控制和學(xué)習(xí)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.

溫室物聯(lián)網(wǎng)控制系統(tǒng)的控制方法：在物聯(lián)網(wǎng)控制系統(tǒng)中，控制器的設(shè)計和優(yōu)化，能夠使被控對象具有的控制品質(zhì)，也是體現(xiàn)物聯(lián)網(wǎng)高度智能特色的重要保證。下面將從改善網(wǎng)絡(luò)性能以及智能控制理論的角度來對控制方法進(jìn)行探討。改善網(wǎng)絡(luò)性能的控制方法：控制系統(tǒng)從本地閉環(huán)控制發(fā)展到網(wǎng)絡(luò)控制，網(wǎng)絡(luò)本身的特性就會影響控制系統(tǒng)的性能，因此可以從提高網(wǎng)絡(luò)性能方面提出控制方法的設(shè)計和改進(jìn)。

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.

智能溫室-物聯(lián)網(wǎng)控制系統(tǒng)-時延、帶寬、吞吐量等是網(wǎng)絡(luò)的重要性能指標(biāo)，而在物聯(lián)網(wǎng)環(huán)境下，時延參數(shù)尤為突出。作為物聯(lián)網(wǎng)最末端的傳感器數(shù)量眾多，分布廣泛，收集到的數(shù)據(jù)也相當(dāng)龐雜，大量信息通過網(wǎng)絡(luò)傳遞到應(yīng)用層，會對網(wǎng)絡(luò)層帶來過重負(fù)荷，導(dǎo)致網(wǎng)絡(luò)傳輸時延的加?。淮送?，發(fā)送給執(zhí)行器的控制信號如何通過網(wǎng)絡(luò)快速及時地傳遞也對時延指標(biāo)提出要求。因此設(shè)計網(wǎng)絡(luò)控制算法，有效補(bǔ)償網(wǎng)絡(luò)時延，確保整個控制系統(tǒng)的穩(wěn)定性和魯棒性一直是研究的熱點問題。隨著物聯(lián)網(wǎng)相關(guān)技術(shù)的飛速發(fā)展，以及控制理論的不斷完善，兩者結(jié)合下的物聯(lián)網(wǎng)控制系統(tǒng)的體系特點就由原來的封閉式轉(zhuǎn)變?yōu)殚_放式，適用領(lǐng)域也會越來越廣泛。但是物聯(lián)網(wǎng)本身的特性也為控制系統(tǒng)的構(gòu)建帶來了諸多不可控因素和難度。如何保證開放環(huán)境下控制的智能化、實時性、性,以及低功耗，都是未來重要的關(guān)注點。

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.