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两种数据融合算法对扩散硅压力传感器的温度补偿 总被引:4,自引:1,他引:3
针对扩散硅压力传感器在实际应用中对温度存在交叉灵敏度的问题,文章采用改进的多维回归分析法和BP神经网络法两种实用的智能化数据融合方法对压力传感器输出进行处理,以消除非目标参量(温度)对传感器的影响;研究结果表明这两种方法均能有效地抑制交叉灵敏度,减小灵敏度温漂和零点温漂;由于这两种融合算法具有各自的特点,因此可应用于不同要求的智能传感器系统中。 相似文献
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分析了压阻传感器灵敏度温度漂移特性.根据其灵敏度与T(?)成比例的关系,设计了与T(?)成正比的电压源和电流源,从而很好地实现了对灵敏度温漂的补偿。 相似文献
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唐录洁 《计算机光盘软件与应用》2013,(13):98-100
科学技术革命的发展推进了互联网时代的到来,计算机智能化图像识别技术也越来越成熟。计算机智能化图像识别技术的发展关系着我国国民经济的健康有序地发展,尤其是在国际竞争日益激烈的情况下,计算机智能化图像识别技术有利于我国更好地应对国际动态和局势促进我国各个领域的发展和进步。文章以计算机智能化图像识别技术作为研究重点,描述了其结构系统和工作原理,同时对计算机智能化图像识别技术的一些理论突破进行了详细地阐述,对我国的信息工程等领域在实践与理论和促进我国科学技术的发展方面具有一定的研究意义。 相似文献
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本文介绍了一种? ( 栅? # ? 结构的半导体气敏器件。在叙述? ( 栅? # ? 晶
体管气敏机理的基础上, 着重讨论了把橱厚度对器件灵敏度的影响。实验结果证明,
? ( 栅? # ? 晶体管的灵敏度随着把栅厚度的增加而降低。在工竹温度不太高的条件下,
灵敏度随把栅厚度的变化基本上不受温度的影响。另外, 文中还扼要地阐述了把栅? # ?
晶体管的结构、制造技术及器件灵敏度的测试原理和方法。研究结果对于? # ? 结构的
半导体气敏传感器的研制具有重要的意义
。 相似文献
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智能化轮胎监控技术能收集并且传输轮胎压力、温度、受力变形等轮胎信息参数.对这些信息进行分析、作出正确判断和处理,能够提高汽车行驶安全性、降低油耗.国内外各大厂商和研究机构研究开发了各种智能化轮胎监控系统.根据已发表的文献资料,介绍了国内外智能化轮胎监控技术的部分研究成果,并预计了其市场前景和发展趋势. 相似文献
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刘兴俊 《计算机光盘软件与应用》2015,(2):5-6
随着科学技术的飞速发展,我国逐渐深入了对电子工程相关技术的研究和应用。在电子工程管理中运用智能化技术,可实现管理的自动化,帮助管理程序快速顺畅的运行。而且智能化技术的应用还能够帮助电子工程操作人员迅速准确地找到电力系统的故障之处,节省在检修过程中的人力、时间资源。本文通过对智能化技术的深入探究,分析了在电子工程管理中应用智能化技术的优点,并具体介绍了在电子工程管理中如何使用智能化技术。 相似文献
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本文叙述了电阻应变计式称重测力传感器的温度补偿技术。文中除介绍一般的灵敏度温度补偿方法外,还着重说明了如何改善温度补偿电阻所引起的非线性误差,提出了最佳补偿电阻值和并联电阻值的计算方法。 相似文献
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谭永丽 《计算机测量与控制》2020,28(3):89-92
传统的无人物流车辆智能监控系统监控图像清晰度差,监控速率慢。为了解决上述问题,基于智能定位技术设计了一种新的无人物流车辆智能监控系统,系统硬件传感器模块选用选用MCJS系列角度传感器,无人物流车辆定位模块选用ZM516X定位模块,支持Mesh网络,监控平台为LAND-LDRTU款无线远程监测终端RTU,内部配置实时监控系统,在C/S模式下设计应用系统程序。实验结果表明,基于智能定位技术的无人物流车辆智能监控系统监控图像清晰度高于传统监控系统42.58%,监控速率高于传统监控系统17.22%。 相似文献
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运营车辆的智能排班是公交车辆智能调度需要解决的问题之一,关系到公交企业的经济效益与社会效益。采用兼顾公交公司与乘客双方利益的公交车辆调度模型,将带收缩因子和线性递减惯性权重的粒子群优化算法(W-K-PSO)应用到公交智能排班中。实例仿真结果表明该算法具有比其它优化算法更好的效率,是解决公交车智能调度问题的一个有效方法。 相似文献
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张津瑜 《自动化技术与应用》2021,40(3):141-143,165
随着科技的不断发展,人们对居住环境的要求越来越高,因此智能家居应运而生。文中以智能家居控制系统设计为主要研究对象,论述了智能家居系统结构,包括:传感器、执行器、控制中枢、通信网络和人机接口等。给出了智能家居系统设计方法,例如:智能灯光、智能窗帘、智能安防、远程监控等。最后,进行了模拟验证。结果表明:智能家居模拟系统便于操作、信息准确、智能化程度较高,可在一定程度上验证所述智能家居系统的可行性和有效性。所述智能家居控制方案具有一定借鉴意义,可供相关从业人员参考。 相似文献
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The aim is to explore the machinery automation of intelligent manufacturing equipment under the edge computing algorithm and guarantee the safety of intelligent equipment. Given the problems in the machinery automation of intelligent manufacturing equipment in the current mechanical field, the intelligent manufacturing equipment model based on edge computing is implemented through edge computing technology and is divided into three modules: data acquisition, data processing, and data communication. Finally, the proposed model performance is analyzed under simulation. The results show that in the security performance analysis, different edge nodes can maintain the optimal strategy when the cost is minimized. When the amount of task data is less than 8 Mb, the proposed intelligent manufacturing equipment model based on edge computing has a lower delay (less than 3,000 ms), lower energy consumption (less than 450 J), and higher reliability (more than 95%). Therefore, the results indicate that the proposed intelligent manufacturing equipment model based on the edge computing pattern has higher reliability while ensuring safety performance, which provides an experimental reference for the development of machinery automation of intelligent equipment in the current mechanical field. 相似文献
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Ali Kadkhodaie-Ilkhchi Hossain Rahimpour-Bonab Mohammadreza Rezaee 《Computers & Geosciences》2009,35(3):459-474
Total organic carbon (TOC) content present in reservoir rocks is one of the important parameters, which could be used for evaluation of residual production potential and geochemical characterization of hydrocarbon-bearing units. In general, organic-rich rocks are characterized by higher porosity, higher sonic transit time, lower density, higher γ-ray, and higher resistivity than other rocks. Current study suggests an improved and optimal model for TOC estimation by integration of intelligent systems and the concept of committee machine with an example from Kangan and Dalan Formations, in South Pars Gas Field, Iran. This committee machine with intelligent systems (CMIS) combines the results of TOC predicted from intelligent systems including fuzzy logic (FL), neuro-fuzzy (NF), and neural network (NN), each of them has a weight factor showing its contribution in overall prediction. The optimal combination of weights is derived by a genetic algorithm (GA). This method is illustrated using a case study. One hundred twenty-four data points including petrophysical data and measured TOC from three wells of South Pars Gas Field were divided into 87 training sets to build the CMIS model and 37 testing sets to evaluate the reliability of the developed model. The results show that the CMIS performs better than any one of the individual intelligent systems acting alone for predicting TOC. 相似文献
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With the rapid development of automobiles, car cockpits are becoming more and more intelligent and advanced, and the intelligent requirements of automobile cockpits are gradually increasing. However, the real value of intelligence can only be realized when it makes passengers in a cockpit feel comfortable. In this study, seven factors that affect passenger comfort in intelligent cockpits are defined. Under these factors, a total of 33 evaluation indicators were developed. The core of the method was to determine the dissatisfaction indicators and degree of dissatisfaction in the intelligent cockpit by analyzing the relationship between people's perceived performance and their expectations. This method was used to evaluate the Tesla Model 3, and it was found in the results that the higher the degree of dissatisfaction with the indicator, the more subjective feedback it had, which in turn proved the effectiveness of the model. According to the degree of dissatisfaction, the indicators affecting comfort were also divided into three levels. This hierarchical division helps clarify which indicators should be prioritized for improvement. Generally, this method has a certain feasibility, which is helpful for the development and redesign of an intelligent car cockpit, and provides some reference strategies for other transportation fields. 相似文献
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近年来,人们对家电智能化的要求越来越高,而各种智能家电也层出不穷。但因炒制过程较为复杂,难以对其实现较为精确的智能控制。为了解决此问题,通过最基本的热传导公式推导出了电炒锅的热传导模型,通过遗传算法对模型的参数进行训练,使模型在不同的情况下均能较为准确地模拟电炒锅温度的变化情况。基于此模型,提出了电炒锅的控制方案。对电炒锅模型下一时刻的温度变化进行预测,根据需求计算出电炒锅最佳功率,使电炒锅在炒制过程中能够始终保持需要的温度,同时尽可能减少电炒锅功率的波动,从而降低电炒锅功率控制器件的损耗。通过实验验证了此控制方案在不同的烹饪阶段均能够较好地实现炒锅的智能控制,达到维持锅内温度,提高能源利用效率的目的。 相似文献