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尾礦庫滲流自動監(jiān)測系統(tǒng)的研究與設計

發(fā)布時間:2018-05-21 01:02

  本文選題:尾礦庫 + 滲流; 參考:《中南林業(yè)科技大學》2015年碩士論文


【摘要】:滲流監(jiān)測是尾礦庫安全監(jiān)測中重要的監(jiān)測項目之一,20世紀70年代以來,尾礦庫安全監(jiān)測系統(tǒng)得到了飛速發(fā)展,但滲流自動化監(jiān)測系統(tǒng)由于其設備運行環(huán)境惡劣、可靠性要求高,仍是尾礦庫安全監(jiān)測系統(tǒng)中存在問題較多的項目之一。為此,本文研制開發(fā)了新一代基于振弦式傳感器的尾礦庫滲流自動化監(jiān)測系統(tǒng)。論文作者主要研究工作以及取得的成果如下:(1)針對振弦式傳感器,分析了工作特點、工作原理及其主要構成類型,討論了數(shù)學模型,論證了輸出信號頻率與其所受壓力存在的對應關系。從系統(tǒng)需求分析出發(fā),提出了系統(tǒng)設計所應遵循的原則、尾礦庫滲流的主要監(jiān)測參數(shù)、傳感器的位置選擇、系統(tǒng)的采集方式。(2)采用性能較強,處理速度較快的STC12C5A60S2微處理器,分別設計了振弦式傳感器的激勵電路、拾振電路、放大濾波電路、溫度信號采集電路、電源電路、存儲電路、通道選擇電路等硬件電路。對系統(tǒng)的通信方式及總線的設計做了詳細分析。(3)設計了基于振弦式傳感器的尾礦庫滲流自動監(jiān)測系統(tǒng)的軟件系統(tǒng),采用基于中心頻率的低壓掃頻策略、多周期脈沖計數(shù)方法、硬件濾波與軟件濾波相結合的信號調理方案,利用拋物線插值算法進行溫度補償,對頻率檢測與溫度補償采取了優(yōu)化措施,具有很好的移植性與可擴展性。(4)選擇深水井作為模擬實驗環(huán)境進行實驗,通過選取不同水位深度來模擬不同滲流壓力值。將本測量系統(tǒng)的測量數(shù)據(jù)與傳統(tǒng)的振弦式采集儀的測量數(shù)據(jù),進行對比分析,結果表明:連續(xù)做50次測量,尾礦庫滲流自動監(jiān)測系統(tǒng)工作穩(wěn)定性最低可達0.02%,測量精度達到0.06%,工作線性度優(yōu)于傳統(tǒng)的振弦式采集儀。
[Abstract]:Seepage monitoring is one of the important monitoring items in tailings reservoir safety monitoring. Since 1970s, the safety monitoring system of tailings reservoir has been developed rapidly. However, the seepage automatic monitoring system has high reliability requirements due to its poor operating environment. It is still one of the items with many problems in the safety monitoring system of tailings reservoir. Therefore, a new generation of automatic seepage monitoring system based on vibrating string sensor is developed in this paper. The main research work and results obtained by the author are as follows: (1) in view of the vibrating string sensor, the working characteristics, working principle and main composition types are analyzed, and the mathematical model is discussed. The relationship between the frequency of the output signal and the pressure is demonstrated. Based on the analysis of system requirements, this paper puts forward the principles to be followed in system design, such as the main monitoring parameters of seepage flow in tailings reservoir, the location selection of sensors, the acquisition mode of the system, and the STC12C5A60S2 microprocessor, which has better performance and faster processing speed. The exciting circuit, picking up circuit, amplifying and filtering circuit, temperature signal acquisition circuit, power supply circuit, storage circuit, channel selection circuit and other hardware circuits are designed respectively. The communication mode of the system and the design of the bus are analyzed in detail. (3) the software system of the automatic seepage monitoring system of the tailings reservoir based on the vibrating string sensor is designed. The low-voltage sweep strategy based on the center frequency and the multi-period pulse counting method are adopted. The signal conditioning scheme which combines hardware filtering with software filtering, makes use of parabola interpolation algorithm to compensate the temperature, and optimizes the frequency detection and temperature compensation. It has good transplantability and extensibility. (4) the deep well is selected as the simulation experimental environment, and the different seepage pressure is simulated by selecting different water level depth. The measurement data of this system are compared with those of the traditional vibrating string type collector. The results show that 50 times of measurement are done continuously. The working stability of the automatic monitoring system for seepage in tailings reservoir can be as low as 0.02 and the measuring accuracy is 0.06.The working linearity is superior to that of the traditional vibrating string type collector.
【學位授予單位】:中南林業(yè)科技大學
【學位級別】:碩士
【學位授予年份】:2015
【分類號】:TD926.4;TP274

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