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基于单片机的防盗报警系统的设计【自动化毕业论文开题报告外文翻译说明书】.zip

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基于单片机的防盗报警系统的设计【自动化毕业论文开题报告外文翻译说明书】.zip,自动化毕业论文开题报告外文翻译说明书,系统的设计【说明书论文开题报告外文翻译】,基于单片机的,系统【说明书论文开题报告外文翻译】,毕业设计开题报告,毕业设计论文,自动化毕业论文,自动化系统设计
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Intelligent Temperature Control System Design Based on Single-Chip MicrocomputerJun Li, Xian-Lin Meng, Wen-Long SongABSTRACTA design method of an intelligent temperature control system based on single-chip microcomputer is presented in this paper. The intelligent temperature control system is divided into four parts: monitor, heater, controlled process and feedback loop. Among them, the temperature detection circuit is designed with the conductivity of water by sensor detection. The optical coupler MOC3041 is used to implement the power control circuit,whose control object is 1 kW electric heater with the 220V alternating current power; keyboard and display circuit SMC1602A include four buttons and LCD display to achieve human-computer interaction; Based on single-chip system STC89C52, the sensor signal and keyboard set target temperature are compared to the power automatically in order to finish the water temperature control. Through the static and dynamic data testing, the results show that the proposed method provides an effective way to realize the real-time acquisition and control of temperature.Keywords: microcontroller; temperature sensors; power control; SCR 1. IntroductionTemperature is the representation of a physical quantity of hot and cold objects and one of the most basic physical quantity in our production and life.Temperature measurement is related to various fields of industry and agricultural production. Temperature control is of critical importance to ensure the effectiveness of the industrial production.Temperature control system also is an important part of vacuum smelting process. Therefore, the temperature control system is widely used such as industrialized culture, green granary, Fumigation therapy, air-conditioning system, and so on. How to select an approximately optimal control strategy through real-time monitoring data becomes a key factor for the energy-saving operation.Various strategies have been applied on the temperature control system. The fuzzy self-tuning proportional-integral-derivative ( PID ) algorithm, which is easy to implement and be effective, has been widely used in the temperature control system. An optimal approach temperature ( OAT ) control strategy is proposed for resetting the condensing water temperature hourly,so to maximize the performance of the combined water chiller and cooling tower system. Zhen proposed a typical multi-variable, large time delay and nonlinear system,self-extracting rules fuzzy control ( SERFC ) method to maintain a stable temperature value in a built environment chamber with supply air system and hot-water system. Based on the modified output-input feedback ( OIF ) Elman neural networks and the prediction principle, an adaptive PID decoupling controller is designed to achieve the rapid,precise and especially independent control for the upstream and downstream temperatures of the double-level air flow field dynamic vacuum ( DAFDV ) coupling system.The present study focuses on software designs including approaches and strategies to control temperature changes in different application fields and the research work of temperature control system hardware design are relatively small amount. However, if there is no corresponding hardware support, a good method is also unable to be used. In this paper, the main work is to design for the hardware circuit. We use single chip microcomputer to develop intelligent temperature control system, which has a higher control convenient , low cost, flexibility advantages. It is proved in the experiment that the design has the obvious effect for technical indicators to improve the temperature control. As the hardware support, our control system will be fit for other temperature control methods.2. System Structure DesignThe control system includes four units, such as monitor, heater, controlled process ( storage tank ) and feedback loop ( temperature detection circuit ). Fig. 1shows the diagram of the designed control system.In Fig. 1, the water tank is the controlled object; the temperature of the water tank is detected by the temperature sensor and then the signal is transmitted to the single chip microcomputer. The feedback signal and the prefabricated signal are compared with SCM which will give the quantity of temperature control. The heater will receive heating instructions. Finally, the power controller can control the heating power of the heating pipe and the temperature will be controlled in our system. Here, the interference signal is mainly due to the heating power changes caused by contact with other objects.3. System Circuit DesignAccording to the structure diagram of control system, we can build the circuit principle diagram, as shown in Fig.2.In this paper, it is assumed that the controlled object is a closed tank. The system is composed of a temperature detection circuit, a power control circuit, a water level detection circuit, a keyboard and display circuit, alarming circuit and SCM ATP89C52.3. 1 Temperature Detection CircuitIn this part, we use digital temperature sensor DS18B20 to detect temperature. Fig.3 shows the package diagram of DS18B20. A new generation of “bus line” DS18B20 is designed by Dallas company for the production of digital temperature sensor. It is suitable for various harsh environments and it has many advantages, such as convenient connection, simple temperature measurement circuit, small size, low price and strong anti-interference ability.3. 2 Power Control CircuitHere we adopt optical coupler MOC3041 to implement the power control circuit, which is coupled transmission signal, and isolating the effects of interference. Fig. 4 shows the power control circuit. The heat port provides an output signal of heating drive; through the 74LS04 inverter, the reverse signal will drive optical coupler MOC3041. When the heat outputs high level,the P is low and the circuit is in ON-state,that is,both bidirectional thyristor and the heat circuit get through,and then the water tank is heated by power pipes.3. 3 Water Level Detection Circuit For cost saving, we design the water level detection circuit by means of conductivity of water. As shown in Fig. 5, three metal bars are respectively installed at different height of the water tank. The bar A is at the bottom of the water tank and connected with a power supply of 5 V; the bar B and C represent the lowest and highest level, which ground through a resistance. When the water level is below B, B and C are all higher than the water surface,and then no electricity,the status of b and c is 0 . At the same time, the system gives the alarm signal, and the indicator light of less water works, and the electromagnetic water valve is turned on to inject water; when the water level rises to B, A and B are connected; the status of b is 1 and c is 0 . The alarm signal disappears and the indicator light of normal works. When the water level rises to C, C and B are connected,and the status of b and c is 1 , then the valve is closed and stop injection.3. 4 Keyboard and Display CircuitKeyboard with four keys is directly connected with the microcontroller P1 port as prefabricated temperature input port setting in Fig.6(a).We choose LCD1602( 162 character dot matrix LCD screen) as liquid crystal display circuit , which can achieve human-computer interaction,such as prefabricated temperature and real time detection of temperature as shown in Fig. 6( b) . Fig.6 Keyboard and display circuit3. 5 Alarming CircuitA buzzer and a light emitting diode consist of the alarming circuit,as shown in Fig. 7. When the water level of the tank is lower than the floor,the buzzer gives out the alarm and the system turns on the light of less water; otherwise when the water level of the tank reaches the upper threshold,the system turns off the light of less water and turns on the light of normal water level.4. Test Results4. 1 System Testing Instrument There are many instruments used in our test,such as dual tracking voltage and current stabilized power supply (DH1718E-5), digital oscilloscope ( Tektronix TDS1002), emulators (WEIFUE6000/L) , Multi-function digital meter ( GDM-8145 ) , PC ( P4 CPU2. 4) , a thermometer,electric heating cups and a stopwatch.4. 2 Test Results1 ) We put 1 litre water into the thermostat electrothermal cup and change its temperature.We can observe the temperature value on liquid crystal display ( LCD1602) , while we measure the real temperature with a thermometer and record the results, as shown in Fig.8. We can conclude that the static temperature sensor measurement results and actual measurement of the thermometer is consistent. Therefore, the results of measurement with temperature sensor are reliable and the system can comply with the design requirement. 2 ) The target temperature is set 75 . We can observe the temperature value on liquid crystal display( LCD1602) , while we measure the water temperature with the thermometer every 30 seconds and record the results, as shown in Fig. 9 ( before heating, the temperature is 25 ) .By comparison, we can see that the measured temperature and the real temperature consistent in the process of heating and errors are in the permitted range. Although there are errors, they can not affect the results. Therefore our system reaches design requirements.5. ConclusionsThis paper focuses on the application of single chip microcomputer in temperature control. We use single chip microcomputer AT89C52 as the control core and design the intelligent control system with the temperature real-time acquisition and control. The test results show that our design is reasonable and achieves the desired effect. The system realizes the intelligent temperature control, at the same time it has man advantages,such as easy to control,low cost and high flexibility.References1Wei J G,Jiang X C Design of an intelligent temperature control system based on the fuzzy self-tuning PID Procedia Engineering,2012,43: 3073112Xu J Q,Wang X Z,Yu G Y Industrialized culture water temperature control system design and simulationAutomation Instrumentation,2013,1: 66683 Shi Q S Green granary temperature control system modeling and simulation Physics Procedia,2010,25:226322674 Zhang H F,Zhao A L,Hou J Design of fumigation temperature control system based on single-chip micro controller Physics Procedia,2011,11: 2462505Zhang X J,Yu C Y,Li S,et al A museum storeroom air-conditioning system employing the temperature and humidity independent control device in the cooling coilApplied Thermal Engineering,2011,31 ( 17 18 ) : 3653 36576 Yu F W,Chan K T Improved energy performance of air cooled centrifugal chillers with variable chilled water flowEnergy Conversion and Management,2008,49: 1595 16117 Mahenjun Z J,Wang S W,Xiao F Online performance evaluation of alternative control strategies for building cooling water systems prior to in situ implementationApplied Energy,2009,86: 7127218 Pen Y Q Application of hybrid fuzzy PID in Gelaton temperature control system based on PLC Journal of Xiamen University,2008,47( 2) : 1911959 Liu C W,Chua Y K A study on an optimal approach temperature control strategy of condensing water temperature for energy saving International Journal ofRefrigeration,2011,34: 81682310Zhen L,Zhang J L,Chen Y P,et al Fuzzy control model and simulation of supply air system in a test rig of low-temperature hot-water radiator system Energy and Buildings,2010,42: 38639211Li J Y,Feng M X Temperature decoupling control of double-level air flow field dynamic vacuum system based on neural network and prediction principle Engineering Applications of Artificial Intelligence,2013,26: 1237 124512Feng Y Design of temperature control system based on AT89C52 Journal of Weinan Teachers University,2011,26( 2) : 495213Zhang JSmart temperature sensor DS18B20 and its application Instrumentation Technology,2010,4: 687014Yu Chunhe,Zhang Danping An artificial intelligence central air-conditioning controller Advances in Intelligent Systems,2012,138: 192515Sui Q J Interface design and simulation of LCD1602 basedon PROTEUS Microcomputer Information,2010,26 ( 7 1) : 171172基于单片机的智能温度控制系统设计李军,孟宪林,宋文龙摘 要 在本文中我们提出了一种基于单片机的智能温度控制系统的设计方法。将智能温度控制系统分为四个部分,分别是:监控系统、加热炉、控制过程和反馈回路。其中,温度检测电路是由通过传感器检测水的电导率设计而成。光耦合器MOC3041实现功率控制电路,其控制对象是1千瓦的电加热器与220V交流电源;键盘和显示电路函数包括四个按键和LCD显示来实现人机交互;基于STC89C52单片机系统,传感器信号和键盘设定的目标温度与电源自动相比,以完成水温控制。通过静态和动态数据测试,结果表明,该方法提供了一种有效的方式来实现实时采集和控制的温度。关键词:单片机;温度传感器;功率控制;SCR1简述温度是一个表示物体热或者冷的物理量,是我们生产和生活中最基本的物理量之一,温度测量涉及到工业和农业生产的各个领域。温度控制是保证工业生产的有效性的关键,温度控制系统也是真空熔炼过程中的重要组成部分。因此,温度控制系统在工业生产上获得了广泛的应用,如工业文化、绿色粮仓熏蒸疗法、空调系统等等。如何通过实时监测数据,并且选择最优控制策略成为节能运行的关键因素。各种策略已被应用于温度控制系统。模糊自校正比例积分微分法算法 ( PID ) 在温度控制系统中有广泛的应用,它不仅易于实现,并且还有显著的效果。一种优化的方法温度被提出了,即最佳逼近温度(燕麦)的控制策略,用于重置冷凝水的温度每小时,从而最大限度地提高性能的组合式冷水机组和冷却塔系统。Zhen提出了一个典型的多变量、大滞后、非线性系统的模糊控制,自我规则的模糊控制提取(SERFC)保持在一个建筑环境室内空气供给系统和热水系统一个稳定的温度值的方法。基于改进的输入输出反馈(OIF)Elman神经网络和预测原理,是一种自适应PID解耦控制器的设计,实现了快速、精确,特别是独立的上游和下游的双级空气流场的动态真空温度控制(DAFDV)耦合系统。本研究着重于软件设计,包括设计的方法和策略,从而可以控制温度的变化,在不同的应用领域和研究工作的温度控制系统的硬件设计是比较小的。但是,如果没有相应的硬件支持,一个好的方法也无法使用。本文的主要工作是对硬件电路进行设计。采用单片机开发的智能温度控制系统,具有控制方便、成本低、灵活性强等优点。实验证明,该设计对提高温度控制的技术指标有明显的效果。作为硬件支持,我们的控制系统将适用于其他温度控制方法。2系统结构设计该控制系统包括四个单元,分别是显示器、加热器、控制过程(存储箱)和反馈回路(温度检测电路)。图1显示所设计的控制系统的图。在图1中,水箱是被控对象;水箱的温度由温度传感器检测,然后将信号传送给单片机。将反馈信号和预制信号与单片机进行比较,给出了温度控制的数量。加热器将接收加热指令。最后,功率控制器可以控制加热管的加热功率,温度将被控制在我们的系统中。在这里,干扰信号主要是由于加热功率变化所造成的接触与其他对象。图1 系统结构示意图3系统电路设计根据控制系统的结构图,我们可以建立的电路原理图,如图所示。图2 系统电路示意图在本文中,它被假定为被控对象是一个封闭的坦克。该系统由温度检测电路、电源控制电路、水位检测电路、键盘和显示电路、报警电路和单片机ATP89C52。3.1温度检测电路在这一部分中,我们使用数字温度传感器DS18B20检测温度。图3显示DS18B20的包图。新一代的“公交线”是达拉斯公司的DS18B20数字温度传感器的设计生产。它适用于各种恶劣环境,具有使用方便、测温电路简单、体积小、价格低、抗干扰能力强等优点。图3 系统电路示意图3.2 功率控制电路在这里,我们采用光耦合器MOC3041实现功率控制电路,其耦合传输信号,隔离干扰的影响。图4显示的功率控制电路。热的港口提供加热驱动输出信号;通过74LS04反相器,反向信号将驱动光耦合器MOC3041。当热输出高电平,低电平和电路是在状态,即,双向晶闸管和热电路通过,然后由电源管加热的水箱。图4 功率控制电路3.3水位检测电路为了节省成本,我们设计了水位检测电路,通过电导率的水。如图5所示,三个金属棒分别安装在不同高度的水箱。一个是在水箱底部,并与5伏的电源连接,该酒吧的乙和丙代表的最低和最高的水平,通过电阻接地。当水位低于乙、乙、丙均高于水面时,则无电,状态为“0”。同时,系统给出报警信号,并指示灯的水量较小,电磁水阀是注入水;当水位上升到乙、乙、乙的状态时,状态为“1”和“0”。报警信号消失,正常工作指示灯。当水位上升到丙、丙和乙的连接时,乙和丙的状态是“1”,然后阀门被关闭并停止注入。 图5 水位检测电路原理图3.4 键盘和显示电路四个按键的键盘是直接与单片机的P1口作为输入口设置在预制温度图(一)。我们选择LCD1602(162字符点阵液晶屏)液晶显示电路,可实现人机交互,如预制的温度和温度的实时检测,如图6所示(
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