罗克韦尔自动化Power Monitor II电力监控器

介绍了一种集检测、分析、记录、控制、通信于一体的PowerMonitorII电力监控器的结构、功能及相关的监控管理软件 ,和以其为主组成的电力质量管理系统的功能。

故障监控软件在EP4数据采集器中的应用

在EP4型数据采集器拷机测试过程中,需要24小时不间断监控仪器运行状态。为此开发了一款通用型EP4数据采集器拷机故障监控软件。本文论述了该软件的使用方法、基本架构及关键技术,证实了自主研发的软件操作简单,界面友好,功能强大。

基于ZigBee的疫苗冷藏运输车温度多点监控系统设计

为了实现疫苗冷藏运输车环境温度实时监测与控制,确保疫苗运输车的存放环境能够满足疫苗的环境温度需求,提出了基于ZigBee的疫苗冷藏运输车温度多点监控系统.以ZigBee技术为系统核心技术,实现了疫苗冷藏运输车温度数据的实时采集与多点监控.经测试验证,利用设计系统具备多点温度信息高准确度采集、温度报警及时响应、温度数据可靠稳定传输等性能,解决了温度监测结果与实际温度偏差较大、温度数据传输不完整等问题,实现多点温度的实时有效监控,多点温度数据的有效、稳定、完整地传输.

基于物联网的农业机械远程监控与管理系统研究

近年来,物联网技术的迅速崛起为农业领域带来了新的变革机遇。物联网通过传感器、通信网络和智能处理技术,实现了物与物、人与物之间的互联互通,能够实时采集、传输和处理海量的数据信息。将物联网技术应用于农业机械领域,可以实现对农业机械全方位、智能化的远程监控与管理。本研究旨在研究基于物联网的农业机械远程监控与管理系统,从而提高农业机械的利用率和管理水平。

运动损伤康复体能训练轨迹监控系统的设计及其功能测试

为实现对运动员受伤后康复训练过程中的远程监控,利用微控制器STM32和无线通信模块,设计了一个康复训练监控系统.将6名实验室工作人员确定为实验对象,在正常条件下测量其血氧饱和度(SpO_(2))和脉搏率.然后使用实验室开发的上下肢康复训练机器人对实验对象分别进行15、30、45min的低、中、高三档康复训练,低、中、高档各重复测量6次.该系统测得的数据与鱼跃YX301指压式脉搏血氧仪测得的数据一致,因此该设计符合要求,可以实时监测和记录实验对象的血氧饱和度和脉搏率等生理参数.

AT80C51单片机在农业温室气体浓度及光照强度智能监控中的应用设计

温室环境的精准调控对于提高作物产量与品质具有极为关键的意义。温室气体浓度和光照强度是两个核心的环境参数。AT 80 C 51单片机通过连接气体浓度传感器与光照强度传感器,对采集到的温室气体浓度和光照强度数据进行快速处理与分析,并根据作物的实际需求,对温室气体浓度及光照强度进行自动调节,从而保证温室作物的最佳生长环境。

A Fully‑Printed Wearable Bandage‑Based Electrochemical Sensor with pH Correction for Wound Infection Monitoring

Wearable sensing systems have been designed to monitor health conditions in real-time by detecting analytes in human biofluids.Wound diagnosis remains challenging,necessitating suitable materials for high-performance wearable sensors to offer prompt feedback.Existing devices have limitations in measuring pH and the concentration of pH-dependent electroactive species simultaneously,which is crucial for obtaining a comprehensive understanding of wound status and optimizing biosensors.Therefore,improving materials and analysis system accuracy is essential.This article introduces the first example of a flexible array capable of detecting pyocyanin,a bacterial virulence factor,while correcting dynamic pH fluctuations.We demonstrate that this combined sensor enhances accuracy by mitigating the impact of pH variability on pyocyanin sensor response.Customized screen-printable inks were developed to enhance analytical performance.The analytical performances of two sensitive sensor systems(i.e.,fully-printed porous graphene/multiwalled carbon nanotube(CNT)and polyaniline/CNT composites for pyocyanin and pH sensors)are evaluated.Partial least square regression is employed to analyze nonzero-order data arrays from square wave voltammetric and potentiometric measurements of pyocyanin and pH sensors to establish a predictive model for pyocyanin concentration in complex fluids.This sensitive and effective strategy shows potential for personalized applications due to its affordability,ease of use,and ability to adjust for dynamic pH changes.

Low‑Temperature Fabrication of Stable Black‑Phase CsPbI_(3) Perovskite Flexible Photodetectors Toward Wearable Health Monitoring

Flexible wearable optoelectronic devices fabricated fromorganic–inorganic hybrid perovskites significantly accelerate the developmentof portable energy,biomedicine,and sensing fields,but their poor thermal stabilityhinders further applications.Conversely,all-inorganic perovskites possessexcellent thermal stability,but black-phase all-inorganic perovskite filmusually requires high-temperature annealing steps,which increases energy consumptionand is not conducive to the fabrication of flexible wearable devices.In this work,an unprecedented low-temperature fabrication of stable blackphaseCsPbI3perovskite films is demonstrated by the in situ hydrolysis reactionof diphenylphosphinic chloride additive.The released diphenyl phosphateand chloride ions during the hydrolysis reaction significantly lower the phasetransition temperature and effectively passivate the defects in the perovskitefilms,yielding high-performance photodetectors with a responsivity of 42.1 AW−1 and a detectivity of 1.3×10^(14)Jones.Furthermore,high-fidelity imageand photoplethysmography sensors are demonstrated based on the fabricated flexible wearable photodetectors.This work provides a newperspective for the low-temperature fabrication of large-area all-inorganic perovskite flexible optoelectronic devices.

Assessing the corrosion protection property of coatings loaded with corrosion inhibitors using the real-time atmospheric corrosion monitoring technique

The atmospheric corrosion monitoring(ACM)technique has been widely employed to track the real-time corrosion behavior of metal materials.However,limited studies have applied ACM to the corrosion protection properties of organic coatings.This study compared a bare epoxy coating with one containing zinc phosphate corrosion inhibitors,both applied on ACM sensors,to observe their corrosion protection properties over time.Coatings with artificial damage via scratches were exposed to immersion and alternating dry and wet environments,which allowed for monitoring galvanic corrosion currents in real-time.Throughout the corrosion tests,the ACM currents of the zinc phosphate/epoxy coating were considerably lower than those of the blank epoxy coating.The trend in ACM current variations closely matched the results obtained from regular electrochemical tests and surface analysis.This alignment highlights the potential of the ACM technique in evaluating the corrosion protection capabilities of organic coatings.Compared with the blank epoxy coating,the zinc phosphate/epoxy coating showed much-decreased ACM current values that confirmed the effective inhibition of zinc phosphate against steel corrosion beneath the damaged coating.

基于云平台的远程智能电视整机质量监控系统

当前智能电视制造商为了降低生产和销售成本,往往采取全球化生产的模式。如何保证不同地区生产的智能电视的质量是制造商面临的一个重要问题,对不同生产区域的智能电视进行远程整机质量检测是解决这个问题的良好途径。基于现代云计算和物联网技术,设计一个基于云平台的远程智能电视整机质量监控系统。该系统由智能电视现场监测系统、云端远程监控系统和用户远程监控端三大部分组成。智能电视现场监测系统通过树莓派实现对远程受控智能电视整机的日志、视频、音频、红外等运行数据进行实时采集、转换和上传至云端,以及接收其监测指令;云端远程监控系统接收树莓派上传的数据并进行展示、分析及存储,和向远程智能电视发出质量监测指令;用户远程监控端允许质检员通过计算机和手机登录云端对远程智能电视进行质量监测。文中给出了系统的架构、功能、硬件、软件和数据结构的设计,并在TCL自动化实验室进行实验测试,测试结果证明了系统设计的有效性。文章的设计为电视制造业的智能化发展提供了参考。

数字孪生驱动的风力发电机远程监控系统研究

针对目前风力发电机监控系统可视化程度低、数据无法进行远程实时传输等问题;提出一种数字孪生驱动的风力发电机远程监控系统框架,从6个模块进行研究。通过利用实体建模、模型轻量化、行为规则模型和动态模型构建、远程实时数据传输、Unity3D引擎可视化等技术,开发数字孪生驱动的风力发电机远程监控系统。最后,通过实验验证系统的可行性和有效性,实现了实时动态状态监测、故障报警、人机交互的风力发电机的远程智能化监控。

省级地球物理站网仪器运行监控系统设计与实现

顺应地震监测业务改革方向,为提升地球物理站网仪器运维效率,设计了一套地球物理站网仪器运行监控系统。系统包括基于B/S架构设计的监控软件平台、手机监控App软件和基于C/S架构设计的调试工具,通过实时获取地球物理仪器状态流和数据流,对仪器时钟准确性、连通性,数据完整性、有效性等进行自动化分析,实现辖区范围内地球物理站网仪器运行状态的实时监控。该系统可对仪器运行状态异常、产出数据不符合规范要求等情况进行异常告警,提示运维人员第一时间排查故障,从而提高了地球物理站网仪器运行率和数据质量;系统对获取的数据进行备份,提高了地球物理台网数据完整性,并为今后实现数据质量实时监控等数据服务提供了技术路线。

基于北斗测速的电驱式小麦播种机监控系统设计与试验

针对当前小麦播种机智能化程度低、播种作业时种子漏播肥料堵塞导致缺苗断垄现象产生的问题,设计了一款基于北斗测速的电驱式小麦播种机监控系统。通过电容检测可以实时监测小麦种子漏播情况,通过光电检测可以实时监控排肥管内肥料堵塞情况;北斗卫星实时定位并计算出播种机的前进速度,控制器根据播种机前进速度实时调节播种施肥电机转速,实现种子漏播、肥料堵塞报警和精量播种施肥的目的。在田间试验中,装载监控系统的播种机各项性能表现良好,漏播检测准确率91%以上,肥料堵塞检测准确率95%以上,播种合格率平均值大于94.6%,漏播指数小于2.8%,重播指数小于3%,均匀度变异系数小于3.5%,能够满足小麦精量播种的要求。

Construction Monitoring and Analysis of Asymmetric Prestressed Concrete Bridge Crossing Multiple-Line Railways

Complex bridge structures designed and constructed by humans often necessitate extensive on-site execution,which carries inherent risks.Consequently,a variety of engineering practices are employed to monitor bridge construction.This paper presents a case study of a large-span prestressed concrete(PC)variable-section continuous girder bridge in China,proposing a feedback system for construction monitoring and establishing a finite element(FE)analysis model for the entire bridge.The alignment of the completed bridge adheres to the initial design expectations,with maximum displacement and pre-arch differences from the ideal state measuring 6.39 and 17.7 mm,respectively,which were less than the 20 mm limit required by the specification.Additionally,the stress monitoring showed that the maximum compressive stress was 10.44 MPa,which was 7.5%different from the finite element results,and better predicted the most unfavorable possible location.These results demonstrate that a scientifically rigorous construction monitoring and feedback system can ensure the safety of bridge construction and meet the expected construction standards.The findings presented in this paper provide valuable insights for bridge construction monitoring practices.

肉品冷链物流监控技术研究进展

我国是肉类生产与消费大国,冷链物流是保证肉品品质的重要手段。随着科技的发展和“十四五”冷链物流规划政策的逐步实施,数字化、信息化和可视化已成为冷链物流发展的重点。然而,实际操作中,冷链物流过程中的温度波动并不能完全避免,特别是在长距离运输和极端气候条件下,引发“断链”“伪冷链”等问题,导致冷链物流过程肉品品质下降。随着工业4.0技术的快速发展,大数据、物联网和人工智能等先进技术得到了广泛应用。这些技术与各类传感设备的结合,在监控肉品冷链过程中尤其有效,已成为解决相关问题的有效手段。本文从信息感知、信息处理等冷链物流监控关键环节,对肉品冷链物流监控技术进展进行综述,并结合传感器、窄带物联网、机器学习和区块链等新型信息技术,探讨肉品冷链物流监控技术的未来发展趋势,以期为我国肉品冷链物流监控技术的研究与应用提供理论支撑。

Correlation between key indicators of continuous glucose monitoring and the risk of diabetic foot

BACKGROUND Continuous glucose monitoring(CGM)metrics,such as time in range(TIR)and glycemic risk index(GRI),have been linked to various diabetes-related complications,including diabetic foot(DF).AIM To investigate the association between CGM-derived indicators and the risk of DF in individuals with type 2 diabetes mellitus(T2DM).METHODS A total of 591 individuals with T2DM(297 with DF and 294 without DF)were enrolled.Relevant clinical data,complications,comorbidities,hematological parameters,and 72-hour CGM data were collected.Logistic regression analysis was employed to examine the relationship between these measurements and the risk of DF.RESULTS Individuals with DF exhibited higher mean blood glucose(MBG)levels and increased proportions of time above range(TAR),TAR level 1,and TAR level 2,but lower TIR(all P<0.001).Patients with DF had significantly lower rates of achieving target ranges for TIR,TAR,and TAR level 2 than those without DF(all P<0.05).Logistic regression analysis revealed that GRI,MBG,and TAR level 1 were positively associated with DF risk,while TIR was inversely correlated(all P<0.05).Achieving TIR and TAR was inversely correlated with white blood cell count and glycated hemoglobin A1c levels(P<0.05).Additionally,achieving TAR was influenced by fasting plasma glucose,body mass index,diabetes duration,and antidiabetic medication use.CONCLUSION CGM metrics,particularly TIR and GRI,are significantly associated with the risk of DF in T2DM,emphasizing the importance of improved glucose control.

Risk factors,monitoring,and treatment strategies for early recurrence after rectal cancer surgery

Early recurrence(ER)following surgery for rectal cancer is a significant factor impacting patient survival rates.Tsai et al identified age,preoperative neoadjuvant therapy,length of hospital stay,tumour location,and pathological stage as factors influencing the risk of ER.Postoperative monitoring for ER should encompass a thorough medical history review,physical examination,tumour marker testing,and imaging studies.Additionally,noninvasive circulating tumour cell DNA testing can be utilized to predict ER.Treatment strategies may involve radical surgery,radiation therapy,chemotherapy,and immunotherapy.Through a comprehensive analysis of risk factors,the optimization of monitoring methods,and the development of personalized treatment strategies,it is anticipated that both the efficacy of treatment and the quality of life for rectal cancer patients with postoperative recurrence can be significantly improved.

Long-term monitoring of active large-scale landslides for non-structural risk mitigation-integrated sensors and web-based platform

Large-scale deep-seated landslides pose a significant threat to human life and infrastructure.Therefore,closely monitoring these landslides is crucial for assessing and mitigating their associated risks.In this paper,the authors introduce the So Lo Mon framework,a comprehensive monitoring system developed for three large-scale landslides in the Autonomous Province of Bolzano,Italy.A web-based platform integrates various monitoring data(GNSS,topographic data,in-place inclinometer),providing a user-friendly interface for visualizing and analyzing the collected data.This facilitates the identification of trends and patterns in landslide behaviour,enabling the triggering of warnings and the implementation of appropriate mitigation measures.The So Lo Mon platform has proven to be an invaluable tool for managing the risks associated with large-scale landslides through non-structural measures and driving countermeasure works design.It serves as a centralized data repository,offering visualization and analysis tools.This information empowers decisionmakers to make informed choices regarding risk mitigation,ultimately ensuring the safety of communities and infrastructures.

Role of disturbance coefficient in monitoring and treatment of cerebral edema in patients with cerebral hemorrhage

BACKGROUND At present,the conventional methods for diagnosing cerebral edema in clinical practice are computed tomography(CT)and magnetic resonance imaging(MRI),which can evaluate the location and degree of peripheral cerebral edema,but cannot realize quantification.When patients have symptoms of diffuse cerebral edema or high cranial pressure,CT or MRI often suggests that cerebral edema is lagging and cannot be dynamically monitored in real time.Intracranial pressure monitoring is the gold standard,but it is an invasive operation with high cost and complications.For clinical purposes,the ideal cerebral edema monitoring should be non-invasive,real-time,bedside,and continuous dynamic monitoring.The dis-turbance coefficient(DC)was used in this study to dynamically monitor the occu-rrence,development,and evolution of cerebral edema in patients with cerebral hemorrhage in real time,and review head CT or MRI to evaluate the development of the disease and guide further treatment,so as to improve the prognosis of patients with cerebral hemorrhage.AIM To offer a promising new approach for non-invasive adjuvant therapy in cerebral edema treatment.METHODS A total of 160 patients with hypertensive cerebral hemorrhage admitted to the Department of Neurosurgery,Second Affiliated Hospital of Xi’an Medical University from September 2018 to September 2019 were recruited.The patients were randomly divided into a control group(n=80)and an experimental group(n=80).Patients in the control group received conventional empirical treatment,while those in the experimental group were treated with mannitol dehydration under the guidance of DC.Subsequently,we compared the two groups with regards to the total dosage of mannitol,the total course of treatment,the incidence of complications,and prognosis.RESULTS The mean daily consumption of mannitol,the total course of treatment,and the mean hospitalization days were 362.7±117.7 mL,14.8±5.2 days,and 29.4±7.9 in the control group and 283.1±93.6 mL,11.8±4.2 days,and 23.9±8.3 in the experimental group(P<0.05).In the control group,there were 20 patients with pulmonary infection(25%),30 with electrolyte disturbance(37.5%),20 with renal impairment(25%),and 16 with stress ulcer(20%).In the experimental group,pulmonary infection occurred in 18 patients(22.5%),electrolyte disturbance in 6(7.5%),renal impairment in 2(2.5%),and stress ulcers in 15(18.8%)(P<0.05).According to the Glasgow coma scale score 6 months after discharge,the prognosis of the control group was good in 20 patients(25%),fair in 26(32.5%),and poor in 34(42.5%);the prognosis of the experimental group was good in 32(40%),fair in 36(45%),and poor in 12(15%)(P<0.05).CONCLUSION Using DC for non-invasive dynamic monitoring of cerebral edema demonstrates considerable clinical potential.It reduces mannitol dosage,treatment duration,complication rates,and hospital stays,ultimately lowering hospital-ization costs.Additionally,it improves overall patient prognosis,offering a promising new approach for non-invasive adjuvant therapy in cerebral edema treatment.

Intelligent field monitoring system for cruciferous vegetable pests using yellow sticky board images and an improved Cascade R-CNN

Cruciferous vegetables are important edible vegetable crops.However,they are susceptible to various pests during their growth process,which requires real-time and accurate monitoring of these pests for pest forecasting and scientific control.Hanging yellow sticky boards is a common way to monitor and trap those pests which are attracted to the yellow color.To achieve real-time,low-cost,intelligent monitoring of these vegetable pests on the boards,we established an intelligent monitoring system consisting of a smart camera,a web platform and a pest detection algorithm deployed on a server.After the operator sets the monitoring preset points and shooting time of the camera on the system platform,the camera in the field can automatically collect images of multiple yellow sticky boards at fixed places and times every day.The pests trapped on the yellow sticky boards in vegetable fields,Plutella xylostella,Phyllotreta striolata and flies,are very small and susceptible to deterioration and breakage,which increases the difficulty of model detection.To solve the problem of poor recognition due to the small size and breaking of the pest bodies,we propose an intelligent pest detection algorithm based on an improved Cascade R-CNN model for three important cruciferous crop pests.The algorithm uses an overlapping sliding window method,an improved Res2Net network as the backbone network,and a recursive feature pyramid network as the neck network.The results of field tests show that the algorithm achieves good detection results for the three target pests on the yellow sticky board images,with precision levels of 96.5,92.2 and 75.0%,and recall levels of 96.6,93.1 and 74.7%,respectively,and an F_(1) value of 0.880.Compared with other algorithms,our algorithm has a significant advantage in its ability to detect small target pests.To accurately obtain the data for the newly added pests each day,a two-stage pest matching algorithm was proposed.The algorithm performed well and achieved results that were highly consistent with manual counting,with a mean error of only 2.2%.This intelligent monitoring system realizes precision,good visualization,and intelligent vegetable pest monitoring,which is of great significance as it provides an effective pest prevention and control option for farmers.