Design of New Long-Distance Intelligent Watt-Hour Meter

The design scheme for a new kind of long-distance intelligent watt-hour meter is presented. In the system, the control computer communicates with the bank＇s host computer by the X. 25 network; the built-in embeded secure access module （ESAM） can verify data by commutation with the intelligent nodes that enhance the security of the data. IC TSS721 is adopted to collect data remotely, and the CPU IC card is used to ensure the the bargaining security and reliability. In addition, the software of the system is introduced.

German machinery: Going digital at ITMA 2019

ITMA 2019, the world’s leading fair dedicated to textile machinery, is once again marked by a significant presence of German companies. More than 220 exhibitors from Germany including more than 110 VDMA member companies cover nearly all different machinery chapters with a focus on spinning, nonwoven, weaving, knitting, warp knitting and finishing. The overall exhibition space occupied by German machinery manufacturers is more than 21 thousand square meters, an increase of booth space by approximately 3.5 % compared to ITMA 2015.

配方打叶称重数字化投料系统设计与测试

【背景】基于多台套数字化铺叶台、控制软件及相关辅联设备,自主设计了一套数字化投料系统,进而实现以“自动称重+量化考核”的方式进行数字化均质投料。【方法】以韶关南雄产区中部烟模块,对比了传统投料及数字化计量称重投料的均质化效果。【结果】整体而言,数字化计量称重投料的方式有效降低了投料的波动性及配比误差率,提升了混配均质化效果。其中,不同台位投料的CV值波动范围由9.1%~13.2%下降至5%以内,平均配比误差率由最大1.57%下降至0.49%,下降比超过65%。【结论】数字化计量投料的均质化效果明显,系统具备实际应用的必要性及可实施性。

基于物联网的流量仪表智能标定系统设计

针对流量仪表因采用手工或半自动方式标定所造成的费时、低效等问题,设计了基于物联网的流量仪表智能标定系统。在物联网边缘通过数字化感知、边缘计算、数据网关,实现数据采集和传输,满足了各种标定设备的数据互联互通。根据流量仪表标定过程的特殊性,在云端建立了基于规则的流量仪表标定专家系统。通过数据共享、数据可视化等数字化、智能化的系统设计,模拟人类标定专家的思维过程。运用知识进行推理,根据不同的流量仪表产品,及时给出满意的标定解决方案。该方案赋能流量仪表的智能标定过程,实现了标定生产过程的全自动化。该设计使标定周期由原来的120min缩短到40min,提升了流量计生产装备智能化程度,提高了生产效益。

基于教育学信息系统的农机数字化设计

首先,介绍了教育学信息系统和数字化设计技术,在教育学信息系统分层设计启发下,结合数字化设计技术实现了农机数字化设计;然后,介绍了精量排种器组成及其原理,并利用数字化技术实现了小麦精量排种器的数字化设计。从最后设计的小麦精量排种器样图来看:系统能够快速设计农机模块,大幅缩短了产品设计周期,减少了产品反复修改次数,对现代农机设计具有重大意义。

基于纹理特征的钢渣沥青路面抗滑性能测试与评价

沥青路面的抗滑性能快速下降一直是各国学者高度关注的问题。随着表面纹理逐渐磨损,沥青路面的抗滑性能也持续减弱。为了能更科学地评估和预测路面抗滑性能的衰减,有必要定量地建立起路面纹理和抗滑性能之间的关系。本研究采用了小型加速加载设备、高精度三维扫描设备以及数字图像处理来模拟路面纹理的磨损过程。本研究基于三维纹理特征系统评价了沥青路面的抗滑性能衰减。研究结果显示,英国摆值(BPN)与本研究采用的评价指标三维纹理参数(Sq、Ssk、Vmp、Vmc和Vvc)之间存在着紧密的联系。随着加载次数的增加,BPN和三维纹理参数都呈现出相同的衰减趋势。这些三维纹理参数不仅可以作为评估沥青路面抗滑性能的指标,还能精确地描绘钢渣沥青路面的微观磨损机制。本研究建立的关系将有助于预测路面的抗滑衰减情况,为钢渣沥青路面的路用性能研究提供了有力的技术支持。

数显式大气采样器检定方法的研究与探讨

随着人们环保意识的不断提升,空气中污染物浓度的测量受到越来越多人的关注,数显式大气采样器也因其读数较为方便等特点,成为目前应用最为广泛的空气采样设备。但现行有效的JJG956—2013《大气采样器检定规程》,只适应于采用转子流量计控制气体流量式大气采样器的检定。本文从采样原理出发,从转子流量计式大气采样器和数显式大气采样器气体流量控制方式不同入手,研究和探讨数显式大气采样器检定过程,分析不同显示流量示值误差计算的方法,进一步保证采样和大气监测工作的准确可靠,以期望对大气环境监测和环境评价工作提供技术支持。

DFC3光电式数字日照计的日常维护及故障排除

根据福建省气象局观测与网络处《观测与网络处关于国家级地面气象观测站开展日照平行观测业务的通知》(闽气测函[2018]41号),日照人工与自动平行观测已结束,2018年7月1日起以自动日照数据作为正式观测数据,自动观测记录取代人工观测记录。主要介绍了DFC3光电式数字日照计的组成、日常维护以及故障排除措施。

利用智能电表进行数字化分析的方法

智能电表是一种可收集、存储和传输电能数据的设备,利用智能电表进行数字化分析是一种有效的方法,可为能源管理和效率提升提供有力支持。通过收集、分析电能数据,可以更好地了解能源消耗情况,并制定相应的措施来优化能源使用。这将有助于降低能源浪费,减少碳排放,并节约能源成本。

基于神经网络自适应滤波器的数字化电能计量故障检测方法

为了提高数字化电能计量表故障检测的准确性,研究一种基于神经网络自适应滤波器的数字化电能计量故障检测方法。利用电流传感器、电压传感器以及功率传感器采集三种数字化电能计量装置运行数据并实施去噪和归一化处理。提取数据的时域和频域两类四种特征参数,包括方根幅值、偏斜度、频谱幅值、均方根频率。以特征为输入,神经网络自适应滤波器训练后,实现数字化电能计量故障检测。结果表明:检测结果的Z值均在8以上,说明检测结果更接近所设置的真实故障类型,检测更为准确。

浅谈海上平台电能计量设备误差分析与改进措施

我国海上油田局域电网正大规模接入陆地电网,受平台投产年限和成本因素影响,配套的电能计量设备参差不齐,导致电能计量结果存在一定的误差,这主要与计量设备本身性能及其外部电路结构有很大关系,是影响电能计量设备准确度的关键因素。本文重点分析了海上平台电网关口电能计量设备受二次回路压降影响的情况,制定有效的改进措施,为海上电力系统配置的不同的电能计量设备提升计量准确度提供了相应的解决方案。

基于无线传感器网络的防窃电智能电表箱远程监控方法

为提高智能电表箱计量的准确性,对窃电行为进行有效监控,提出了基于无线传感器网络的防窃电智能电表箱远程监控方法。构建了以无线传感网络为基础的防窃电智能电表箱运行状态监控数据传输模式,为无线传感器网络中的每个传感器节点设置了数据采集、数据处理和无线通信3个功能模块,将电表箱内计量芯片采集的电量信息转换为数字信号的形式后,对具体的传输速率加以控制。在对监控数据进行分析阶段,根据数据状态与其所处时域数据允许阈值之间的关系,可实现对异常情况的报警。在测试结果中,基于无线传感器网络的防窃电智能电表箱监控数据丢弃平均量稳定在6.0MB以内,与对照组相比,具有明显优势。

Investigation into the Independent Metering Control Performance of a Twin Spools Valve with Switching Technology-controlled Pilot Stage

In hydraulic area,independent metering control(IMC)technology is an effective approach to improve system efficiency and control flexibility.In addition,digital hydraulic technology(DHT)has been verified as a reasonable method to optimize system dynamic performance.Integrating these two technologies into one component can combine their advantages together.However,few works focused on it.In this paper,a twin spools valve with switching technologycontrolled pilot stage(TSVSP)is presented,which applied DHT into its pilot stage while appending IMC into its main stage.Based on this prototype valve,a series of numerical and experiment analysis of its IMC performance with both simulated load and excavator boom cylinder are carried out.Results showed fast and robust performance of pressure and flow compound control with acceptable fluctuation phenomenon caused by switching technology.Rising time of flow response in excavator cylinder can be controlled within 200 ms,meanwhile,the recovery time of rod chamber pressure under suddenly changed condition is optimized within 250 ms.IMC system based on TSVSP can improve both dynamic performance and robust characteristics of the target actuator so it is practical in valve-cylinder system and can be applied in mobile machineries.

Co-seismic changes of well water level and volume strain meter in capital area and its vicinity,due to the Nov.14,2001 Ms8.1 Kunlun Mountain earthquake,China

The Kunlunshan Mountain Ms8.1 earthquake, occurred in Nov.14, 2001, is the first event with magnitude more than 8 in the China earthquake monitoring history, specifically at the beginning of digital techniques in precursor monitoring networks. Any investigation of recorded data on this earthquake is very important for testing the operation of the digital monitoring networks and understanding the preparation, occurrence, and adjustment of stress/strain of strong continental earthquakes. In this paper we investigated the coseismic response changes of well water level of groundwater and volume strain meter of bore hole in digital earthquake monitoring network of Capital area and its vicinity, due to the Nov.14, 2001 Ms8.1 Kunlun Mountain earthquake. The responding time, shapes or manners, amplitudes, and lasting time of well water level and strain-meters to seismic wave are studied in comparison. Then we discussed the possibility that the response changes of groundwater to strong distant earthquakes can be understood as one kind of observing evidence of stress/strain changes induced by distant earthquake.

Amalgamated-signal Cymometer Based on TMS320F28335

In our design, an amalgamated-signal cymometer is developed with a TMS320F28335 DSP chip ---- we use its on-chip 12-bit 16-channel AD to conduct a novel dual-sequencer synchronize sampling and averaged to improve the accuracy. Considering the algorithm, we use TI's C28x_FPU_Lib to conduct a FFT with sampled results and correct spectrum with?Time-Shift Phase Difference Correcting Spectrum Method based on all-phase spectral analysis. Namely, we design a sampling-frequency self-adaption algorithm which makes operation keep on without outside-hardware command. Actually, the test result shows that our design's frequency resolution ratio is up to 0.4%, and the maximum frequency’s D-value between main and minor signal is up to 29.99 kHz.

Development of the entire roller inlayed block intelligence cold strip shape meter and its industrial application

The entire roller inlayed block intelligence cold strip shape meter is developed successfully in this paper,which can stably work chronically in the cold rolling workshop,the independent innovation of the key technology of cold strip shape measuring,the foreign technical monopoly and blockade are broken through.The structural form which is different from the international popular segmented detection roller is put forward,the entire detection roller inlayed block is developed,a group of elastic blocks in that the sense organs are installed are inlayed in the radial symmetry rectangular grooves of the detection roller body,the entire roller structure is composed of elastic pieces and the roller body,the scratch of the strip surface due to different thermal expansion of the traditional detection roller measuring unit is avoided effectively.The signal transmission form which is different form the international popular dry slip ring is put forward,the spray wet slip ring is developed,slip ring and detection roller can be taken down and installed as possibly as fast,so the maintain is convenient,while through the section auto-spray cleaning,lubrication and cooling, the service life is remarkable improved and the outside interference signal is reduced.The signal processing form which is different form the international popular gathering card is put forward,the embedded DSP shape signal processing hardware system is developed,the electromagnet,temperature,humidity and vibration's interference of industry practice to shape transmission signal can be effectively avoided,which can guarantee the instantaneity and measured precision of shape measured signal.The shape signal processing software system whose function contains error compensation,pattern recognition,establishment of the target shape and the closed-loop control calculation is built,the shape meter' computer human interaction is friendly,and function of shape meter is strong,at the same time the intellectualized level of the shape meter is improved.Now,this shape meter has been successfully applied on the 1 250 mm cold strip mill of Angang Steel Company Limited,the long-term operating testing is done,every guide line achieves the anticipative effect,the measuring precision is high and the measuring signal is stable and reliable,the shape meter is tested on high speed,big tension,changed wrap angle and big depressed complicated working conditions,any scratch of the detection roller surface and the strip surface is not appearing,it can completely adapt well to the industrial production environment,reaching the international advanced level.

基于YOLOv5与改进VGG-CTC的数字仪表自动读数方法

随着数字电网的发展,数字仪表在电网中的应用越来越广泛。为进一步提高数字仪表自动读数算法的准确率和识别效率,推动数字电网建设,文中提出一种基于YOLOv5和改进VGG-CTC模型的数字仪表自动读数方法。该方法包括数字区域定位和仪表字符识别两部分。首先,采用YOLOv5模型检测输入图像的仪表数字区域,输出预测的数字区域边界框;然后,对VGG网络的卷积层和全连接层参数进行改进,提出一种改进VGG网络,将预测的数字区域输入该网络,即可提取数字区域图像特征,通过长卷积层输出字符概率分布信息;最后,经过CTC转录模块将概率分布序列映射为预测的数字仪表示数。实验结果表明,所提自动读数方法的准确率为89.63%,识别时间为439 ms,相比其他读数方法具有较好的读数准确率和识别速度,能够提高智能电网对设备状态监测的准确性和高效性,对推进能源物联网和数字化电网的建设具有重要意义。

基于轻量化深度学习网络的数字仪表识别

数字式仪表常用于变电站、工厂等生产环境,是一种直观的设备监测仪器。然而当前数字式仪表的读取方式还依赖于人工巡检、手动记录等,这些传统的巡检方式来监测设备的运行状态大大降低了巡检效率。为了实现传统行业的数字化转型,提出了基于轻量化深度学习的数字仪表识别方法,通过改进的YOLOv5(you only look once version5)的目标检测框架,针对数字仪表目标区域在整张图片大小不一致的情况,提出了对于感兴趣区域(region of interest,ROI)的迭代目标检测方法,首次检测将感兴趣区域进行检测并切割统一到相同的尺度,随后迭代检测网络针对感兴趣区域内的字符进行检测并分类,以达到精确读数的目的。为提升多尺度检测性能,采用Res2Net模块主干网络中的的残差模块。采用GIoU(generalized intersection over union)取代通用的IoU(intersection over union)作为位置损失函数加速模型训练效果的收敛。实验表明,改进后的框架实现了99.62%的准确率和99.55%的召回率,相比基线网络分别提升了12.72%和5.85%。通过将框架在边缘计算平台上的终端部署,在实际生产中取代了人工巡检,实现了商业化运行。

关于表计输入阻抗在直流高压分压器检定校准中的影响分析

目前直流高压分压器通常采用电压比法或差值法进行检定校准,认为低压侧表计输入阻抗会对测量结果有一定的影响,但缺乏定量分析以及理论依据。开展了表计输入阻抗对分压比测量结果影响的试验,通过建立数学模型给出表计输入阻抗对测量结果偏差的计算公式,并提出一种通过影响因子对测量结果进行修正的方法。试验表明通过影响因子修正后的结果与真实测量结果偏差不超过0.01%。

基于OpenCV的数字仪表字符提取及快速识别研究

为了实现工业仪表的自动化识别检验、降低人力消耗,应用机器视觉和图像处理技术对数字仪表自动读数识别进行研究。对采集的字符图像进行一系列预处理,包括灰度化以及采用双边滤波算法对含有背景的图像进行图像降噪预处理。提出了1种针对数字仪表字符区提取及快速识别的算法。基于透视变换以及轮廓提取函数实现仪表字符区的倾斜校正及快速提取,并对提取的字符进行形态学处理。提出了1种改进的穿线法对未进行字符分割处理的图片进行识别,并针对字符1的特征提出了快速识别方法。该算法省去了字符分割的时间,提高了字符识别效率。试验证明,算法对数码管的识别正确率达到99.3%、单幅图片识别时间为6.95 ms,可有效应用于计量、检验等数显仪表识别场合,提高检验效率。