本文選題：通用多功能　切入點：分布式預(yù)測控制　出處：《河北工業(yè)大學》2013年碩士論文　論文類型：學位論文

【摘要】：近年來，集中供熱發(fā)展迅速，供熱系統(tǒng)不斷擴大，在滿足熱用戶供熱需求的同時，如何有效地控制和管理整個供熱網(wǎng)絡(luò)，使資源得到合理利用，成為供熱控制系統(tǒng)所必須解決的問題。本文對供熱管網(wǎng)監(jiān)控系統(tǒng)配套的多功能數(shù)據(jù)采集器進行了設(shè)計實現(xiàn)，并針對供熱管網(wǎng)的運行特點提出了一種供熱管網(wǎng)整體控制的分布式預(yù)測控制算法，進行了穩(wěn)態(tài)工況下基于鄰域優(yōu)化的分布式預(yù)測控制理論研究，使熱網(wǎng)可以在整體上得到控制，合理分配資源，，實現(xiàn)全網(wǎng)的平衡供熱。 文章主要研究了基于GPRS的通用多功能數(shù)據(jù)采集模塊的設(shè)計實現(xiàn)。介紹了課題研究的背景、意義及其發(fā)展狀況。分別對熱網(wǎng)工況數(shù)據(jù)采集無線傳輸關(guān)鍵技術(shù)及分布式預(yù)測控制算法進行了詳細的介紹。在分析集中供熱熱網(wǎng)運行特點的基礎(chǔ)上，設(shè)計了通用多功能數(shù)據(jù)采集模塊的硬件電路和軟件程序，并結(jié)合熱網(wǎng)運行特點將分布式預(yù)測控制算法在供熱領(lǐng)域進行了初步研究。 常見的數(shù)據(jù)采集系統(tǒng)是為特定的功能需求而開發(fā)，每一通道上只能針對某一特定信號進行采集，通用性不強�；谶@個問題，結(jié)合熱網(wǎng)參數(shù)測量的實際需求，本課題設(shè)計了一款適用于熱網(wǎng)換熱站參數(shù)測量的數(shù)據(jù)采集器，該采集器配備有GPRS無線傳輸模塊，具有12路通用測量量輸入和4路繼電器輸出，在任何一個模擬量輸入通道上都可以實現(xiàn)測量電壓、電流、電阻、溫度、壓力等工況參數(shù)。采集任務(wù)改變時，只需重新設(shè)置采集命令。采集結(jié)果能夠以曲線、表格等形式在上位機上實時顯示。該采集器以較低的成本最大程度地滿足熱網(wǎng)監(jiān)控中心數(shù)據(jù)采集需求。實現(xiàn)了對于各類熱網(wǎng)參數(shù)的采集和設(shè)備的遠程控制。不但能夠滿足熱網(wǎng)工況參數(shù)監(jiān)控的功能，更能輕松實現(xiàn)與熱網(wǎng)監(jiān)控中心的無線通訊，使熱網(wǎng)實現(xiàn)遠程監(jiān)控無人值守。 與此同時，為了實現(xiàn)供熱系統(tǒng)的總體控制，在熱網(wǎng)系統(tǒng)控制理論中提出了具有全局優(yōu)化性能的分布式預(yù)測控制算法。算法研究中首先把熱網(wǎng)系統(tǒng)分解為輸入和狀態(tài)都相互關(guān)聯(lián)的多個子系統(tǒng)，每個子系統(tǒng)采用模型預(yù)測控制方法，子系統(tǒng)之間通過鄰域優(yōu)化策略進行協(xié)調(diào)。該算法在優(yōu)化過程中能夠利用鄰域了系統(tǒng)的輸出信息、狀態(tài)信息，并能充分考慮鄰域的性能指標，提高了系統(tǒng)的全局性能。以此實現(xiàn)對供熱系統(tǒng)中各熱力站流量的合理分配，進而實現(xiàn)對熱用戶的溫度控制，達到熱用戶的供熱要求，使熱網(wǎng)達到“平衡供熱”的效果，提高了系統(tǒng)的資源利用率。
[Abstract]:In recent years, with the rapid development of central heating and the continuous expansion of heating system, how to control and manage the whole heating network effectively while meeting the heating needs of heat users, so that the resources can be used reasonably, It is necessary to solve the problem of heating control system. In this paper, the design and implementation of multi-function data acquisition system for monitoring and controlling system of heating network are carried out. According to the operation characteristics of the heating network, a distributed predictive control algorithm for the overall control of the heating network is proposed. The distributed predictive control theory based on neighborhood optimization is studied under the steady state condition, so that the heat network can be controlled as a whole. Rational allocation of resources to achieve the balance of the entire network heating. This paper mainly studies the design and implementation of the universal multifunctional data acquisition module based on GPRS, and introduces the background of the research. This paper introduces the key technology of wireless transmission of data acquisition and distributed predictive control algorithm in detail. Based on the analysis of the operation characteristics of central heating and heating network, the paper introduces the key technology of wireless transmission and the distributed predictive control algorithm in detail, based on the analysis of the operation characteristics of central heating and heating network. The hardware circuit and software program of the universal multifunctional data acquisition module are designed, and the distributed predictive control algorithm is preliminarily studied in the field of heating. The common data acquisition system is developed for specific functional requirements. Each channel can only be collected for a particular signal, which is not universal. Based on this problem, combined with the actual demand of heat network parameter measurement, In this paper, a data acquisition device is designed, which is suitable for the parameter measurement of heat exchange station in heat network. The collector is equipped with GPRS wireless transmission module, which has 12 universal measurement inputs and 4 relay outputs. The parameters of voltage, current, resistance, temperature and pressure can be measured on any analogue input channel. When the acquisition task changes, the acquisition command can only be reset. The form of table is displayed on the upper computer in real time. The collector can meet the requirement of data acquisition in the monitoring center of heat network with lower cost. It realizes the collection of all kinds of heat network parameters and the remote control of the equipment. It can satisfy the monitoring function of heat network operating condition parameters. More easily to achieve wireless communication with the hot network monitoring center, so that the remote monitoring network unattended. At the same time, in order to achieve the overall control of the heating system, A distributed predictive control algorithm with global optimization performance is proposed in the heat network control theory. In the algorithm, the heat network system is first decomposed into several subsystems whose input and state are related to each other. Each subsystem adopts the model predictive control method, and the subsystems are coordinated by neighborhood optimization strategy. In the optimization process, the algorithm can make use of the output information and state information of the neighborhood system, and fully consider the performance index of the neighborhood. The overall performance of the system is improved, so as to realize the reasonable distribution of the flow rate of the heating stations in the heating system, and then to realize the temperature control of the thermal users, to meet the heating requirements of the thermal users, and to make the heat network achieve the effect of "balanced heating". The system resource utilization is improved.
【學位授予單位】：河北工業(yè)大學
【學位級別】：碩士
【學位授予年份】：2013
【分類號】：TU995

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