Dynamic Monitoring System Research Articles

Research on 3D reconstruction method of wear particle dynamic image based on multi contour space mapping

Aiming at the problems of current image monitoring methods of lubrication oil wear particles, this paper designs and builds a dynamic monitoring system for oil wear particles based on microfluidic microscopic images. A contour-based 3D reconstruction method of debris particle images is proposed. The image sequences of rotating wear particles tracked by a single target are used as data, and the contour of the wear particle is extracted and the data is stored. The minimum area external rectangle method is used to correct the rotation of the particle images for the problem of deflection. And an algorithm based on cylindrical coordinate space conversion is used to convert the discrete contour point data into three-dimensional space. Complete the 3D model reconstruction of microfluidic wear particles. The ability to analyse wear particles in oil online monitoring technology is improved, which also shows new ideas for wear status monitoring and fault diagnosis technology.

Fabrication of Robust and Porous Lead Chloride-Based Metal-Organic Frameworks toward a Selective and Sensitive Smart NH3 Sensor.

Organolead halide materials have shown promising optoelectronic properties that are suitable for light-emitting diodes (e.g., strong photoluminescence, narrow emission width, and high charge carrier mobility). However, the vast majority of them have no open porosity or open metal sites for host-guest interactions and are therefore not widely applicable in intrinsic fluorescent sensing of small molecules. Herein, we report a lead chloride-based metal-organic framework (MOF) with high porosity and stability and promising photoluminescent characteristics, performing as a sensitive, selective, and long-term stable fluorescence probe for NH3. For the first time, a homemade dynamic real-time photoluminescence monitoring system was developed, which showed that our haloplumbate-based MOF has an immediate response and an extremely low limit of detection (12 ppm) toward NH3. A variety of experimental characterization and theoretical calculations evidenced that the photoluminescence quenching was ascribed to the coordination between NH3 guests and exposed Pb2+ centers in MOFs. Moreover, a portable on-site smart NH3 detector was designed based on this haloplumbate-MOF using a 3D printer, and the quantitative recovery experiment demonstrated the effective detection of NH3 in the range of 15-150 ppm. This study opens a new pathway to design organolead halide-based MOFs to perform on-site chemical sensing of small molecules and shows their high potential to monitor safety concentrations of NH3 in different industrial sites.

RETRACTED ARTICLE: Innovative research of dynamic monitoring system of mental health vocational students based on big data

RETRACTED ARTICLE: Innovative research of dynamic monitoring system of mental health vocational students based on big data

A dynamic risk-based early warning monitoring system for population-based management of cardiovascular disease

Risk prediction tools are crucial for population-based management of cardiovascular disease (CVD). However, most prediction models are currently used to assess long-term risk instead of the risk of short-term CVD onset. We developed a Dynamic Risk-based Early wArning Monitoring (DREAM) system using large-scale, real-time electronic health record data from 2010 to 2020 from the CHinese Electronic health Records Research in Yinzhou study. The dynamic risk scores were derived from a 1:5 matched nested case–control set comprising 70,470 individuals (11,745 CVD events) and then validated in a cohort of 81,205 individuals (5950 CVD events). The individuals were Chinese adults aged 40–79 years without a history of CVD at baseline. Eleven predictors related to vital signs, laboratory tests, and health service utilization were selected to establish the dynamic scores. The proposed scores were significantly associated with the subsequent CVD onset (adjusted odds ratio, 1.21; 95% confidence interval, 1.20–1.23). The area under the receiver operating characteristic curves (AUCs) was 0.6010 (0.5929–0.6092) and 0.6021 (0.5937–0.6105) for the long-term 10-year CVD risk <10% and ≥10% groups in the derivation set, respectively. In the long-term 10-year CVD risk ≥10% group in the validation set, the change in AUC in addition to the long-term risk was 0.0235 (0.0155–0.0315). By increasing the risk threshold from 7 to 16 points, the proportion of true subsequent CVD cases among those given alerts increased from 40.61% to 85.31%. In terms of management efficiency, the number needed to manage per CVD case ranged from 2.46 to 1.17 using the risk scores. With the increasing popularity and integration of EHR systems with wearable technology, the DREAM scores can be incorporated into an early-warning system and applied in dynamic, real-time, EHR-based, automated management to support healthcare decision making for individuals, general practitioners, and policymakers.

Drastic changes in fertility level and timing in response to marriage and fertility policies: evidence from Shandong province, China

China’s “one-child policy” that had been in force between 1980 and 2016 evolved over time and differed widely between regions. Local policies in many regions also targeted the timing and spacing of childbearing by setting the minimum age at marriage, first birth and second birth and defining minimum interval between births. Our study uses data from the 120 Counties Population Dynamics Monitoring System to reconstruct fertility level and timing in nine counties in Shandong province, which experienced frequent changes in birth and marriage policies. We reconstruct detailed indicators of fertility by birth order in 1986–2016, when policies on marriage and fertility timing became strictly enforced since 1989 and subsequently relaxed (especially in 2002) and abandoned (in 2013). Our analysis reveals that birth timing policies have fuelled drastic changes in fertility level, timing and spacing in the province. In the early 1990s period fertility rates plummeted to extreme low levels, with the provincial average total fertility rate falling below 1 in 1992–1995. Second births rates fell especially sharply. The age schedule of childbearing shifted to later ages and births became strongly concentrated just above the minimum policy age at first and second birth, resulting in a bimodal distribution of fertility with peaks at ages 25 and 32. Conversely, the abandonment of the province-level policy on the minimum age at marriage and first birth and less strict enforcement of the policy on the minimum age at second birth contributed to a recovery of period fertility rates in the 2000s and a shift to earlier timing of first and second births. It also led to a shorter second birth interval and a re-emergence of a regular age schedule of fertility with a single peak around age 28.

Robust Privacy Assessment in Transnational Healthcare Systems

Recent developments in Information and Communication Technology have paved the foundations for new forms of collaboration between health systems in different countries. These collaborations allow, on the one hand, to monitor recurrent health emergencies on territories, and on the other hand, they allow national health systems to share information about foreign citizens in transit on their territory. European legislation regarding the processing of personal data places strict constraints on the cross-border transfer of personal data. In this case, companies or organizations, operating on information interchange, must adopt robust mechanisms to verify the adequacy requirements, in order to allow monitoring of security levels, identification of possible intervention actions and preparation of updated security plans for inspection visits required by European standards. In this context, Axiomatic Design allows not only to design medical systems and equipment in compliance with current regulations, but also to provide representations of the design artifact already prepared to implant privacy risk assessment mechanisms. This makes it possible to identify the activities/components to be assessed up to a level of elementary granularity such as to allow risk assessment for the single module. At the same time, the axiomatic approach enables the overall recomposition of privacy violation risks on the basis of a modular representation of the whole system according to the well-known V model scheme. This recomposition allows to build the so-called risk privacy coverage matrix, in order to trace the risk level of the elementary modules, associating them with more and more complex components. In this way, the foundations to build a dynamic monitoring system of the privacy risk level of the system can be defined.

The Realization of Sports Intelligence Based on the Perspective of Students’ Physical Fitness

Intelligent technology is widely used in all aspects of life. The use of modern information technology to promote the development of sports intelligence to improve the physical health of students is an important way to reform school sports. As the development of school sports is facing problems such as insufficient attention and insufficient teachers, it is recommended to establish a dynamic monitoring system of student physique, school sports teaching and competition training management mechanism, construct a school sports culture network platform, and build a “cloud” by means of network technology such as big data. “Platform sports education new model and other paths to achieve the intelligent development of school sports.

Design and Application of the Annual Report of Globally Important Agricultural Heritage Systems (GIAHS) Monitoring

Scientific and effective heritage monitoring can not only realize the conservation of the heritage itself and the maintenance of its values, but it can also realize the sustainable development of the heritage site. In order to promote the conservation and management of Globally Important Agricultural Heritage Systems (GIAHS), this study proposed a design for the annual report of GIAHS monitoring under the overall framework of the GIAHS monitoring system, and explored the application of the annual report in the first GIAHS site in China: the Qingtian Rice-Fish Culture System. In the design scheme of this study, the GIAHS annual monitoring report is composed of 24 monitoring items, with each of them logically related. It is to be filled in by the bureaus of the heritage site and reported through the GIAHS dynamic monitoring system. The results of an analysis of the annual reports of Qingtian Rice-Fish Culture System for four years showed that Qingtian County has taken a series of conservation and development measures which have reduced the area of abandoned paddy, enhanced the unit benefit of agri-products, and increased the farmers' income. At the same time, the heritage site is faced with various challenges and threats, such as the weakening of the tourism attraction, the aging of the heritage practitioners, and the limitation of the heritage-themed agri-products and tourism income, which need to be addressed with proper measures. The results can also provide guidance for other GIAHS based on indications that heritage sites should improve the development of cultural products, the construction of social organization and the cultivation of spontaneous publicity, and an exchange and learning mechanism should be established among them in the future. The design and application of the GIAHS annual monitoring reports can not only provide specific guidance for conducting the GIAHS monitoring, but also lay the foundation for evaluating the effectiveness of GIAHS conservation and management. This study is expected to help enrich the theory of GIAHS monitoring, further promote China's GIAHS monitoring work, and also provide China's experience for the benefit of international GIAHS monitoring efforts.

Static and Dynamic Structural Health Monitoring System for Bridges

Abstract This document describes a system for static and dynamic monitoring of the structural health of bridges, but not only. The need to develop the system resulted from the difficulties encountered by the authors in installing and operating complex monitoring systems, composed of elements from different manufacturers, with different measurement technologies, power supplies, communication modes and software applications. The described system facilitates the integration of different measurements, sensors, power supplies and communication technologies, in a unitary system that allows both static and dynamic measurements, simultaneously.

Research on Agricultural Product Cold Chain Logistics Management Based on Supply Chain Network Structure

he thesis first analyzes the supply chain network structure for the establishment of a new agricultural product supply chain system. This article is to construct a new agricultural product supply chain construction plan, establishes an innovative idea, the business process is urban fresh agricultural product e-commerce, and builds an urban standard distribution model A data-based cold chain integrated distribution model is proposed. This research is mainly to realize the joint operation and management of cold chain logistics and fresh products, and it is necessary to strengthen the coordination of demand-oriented agricultural industry organizations, the coordination of technological innovation of circulation enterprises, and the coordination of the implementation of innovative supply. As a result, the safety mechanism construction of the new agricultural product supply chain, including dynamic monitoring, detection modules and emergency handling systems, has guiding significance for the efficiency of agricultural cold chain logistics circulation.

Experimental Study of Fouling in Hybrid Cooling Tower Used in CSP Plants: Effects of the Polymer and galvanized steel tubes

Concentrating solar power (CSP) plants require cooling systems, which are typically operated using either water resources that are scarce in arid regions or dry cooling which impacts the overall efficiency of the system. To ensure a higher sustainability of solar-electric facilities, hybrid cooling is promising solution for higher system efficiency with lower water consumption. However, fouling of cooling components can contribute to several operation issues, such as the reduction of heat transfer, precipitation on heated tubes, and increasing the maintenance cost. It can also be influenced by many parameters, namely the surface proprieties, and operating conditions (such as temperature, water and air flow rates, relative humidity….). To assess the fouling process in the hybrid cooling system, a fouling test facility with a dynamic monitoring system was built its operational performances were experimentally investigated on the basis of a long-term test of 108 days. To explore the influence of the surface materials, the hybrid towers were equipped with polymer and galvanized steel tubes. Based on fouling data, test results indicated that the influence of the tubes positioning on fouling deposition was at least as significant as the influence of tube materials. Generally, the heated tubes at the bottom positions in the test facilities were subject to severe fouling for both tube’s materials. As for the polymer heated tubes, an asymptotic fouling resistance value was achieved 22 days before the galvanized ones. Finally, the cleaning method showed that the fouling deposits on polymer tubes were cleaned easily compared with the galvanized tubes.

Spatial Interpolation Techniques For innovative Air Quality Monitoring Systems

New technologies for air quality measurement, including real-time on-road air quality monitoring systems (ROMs), have improved the spatial resolution of data. However, measured data can miss due to restricted traffic zones. Different algorithms can estimate the missing data in these points, using available measured data in the neighbourhood. In this study, the results of the applications of an interpolation method taking into account the effect of wind direction and intensity by means of a simple dispersion model is presented. Thanks to the large amount of data provided by the innovative dynamic monitoring system (ROM), the proposed model is able to return, with a good approximation, reliable PM10 and PM2.5 concentration values, with a resolution of 1 km2.

Research on Optimization Strategy of Cold-chain Logistics Car Scheduling

In this paper, aiming at the vehicle information supervision problem existing in the transportation process of the third-party small and medium-sized cold chain logistics enterprises, combined with the actual monitoring demand of the vehicle, the cold chain logistics vehicle dynamic monitoring system is designed, and the vehicle scheduling optimization algorithm in the system is carried out. The study. In the aspect of vehicle scheduling in the system, an optimized genetic algorithm is used to find the optimal transportation path and reduce the transportation cost before transportation by planning the transportation sequence and path of the site.

A novel true triaxial test system for microwave-induced fracturing of hard rocks

This study introduces a test system for microwave-induced fracturing of hard rocks under true triaxial stress. The test system comprises a true triaxial stress loading system, an open-ended microwave-induced fracturing system, a data acquisition system, an acoustic emission (AE) monitoring system, and an auxiliary specimen loading system. Microwave-induced surface and borehole fracturing tests under true triaxial stress were fulfilled for the first time, which overcomes the problem of microwave leakage in the coupling loading of true triaxial stress and microwave. By developing the dynamic monitoring system, the thermal response and fracture evolution were obtained during microwave irradiation. The monitoring system includes the infrared thermometry technique for monitoring rock surface temperature, the distributed optic fiber sensing technique for monitoring temperature in borehole in rock, the AE technique and two-dimensional digital speckle correlation technique for monitoring the evolution of thermal damage and the rock fracturing process. To validate the advantages of the test system and investigate the characteristics of microwave-induced fracturing of hard rocks, the study demonstrates the experimental methods and results for microwave-induced surface and borehole fracturing under true triaxial stress. The results show that thermal cracking presented intermittent characteristics (calm–active–calm) during microwave-induced surface and borehole fracturing of basalt. In addition, true triaxial stress can inhibit the development and distribution of thermal cracks during microwave-induced surface fracturing. When microwave-induced borehole fracturing occurs, it promotes the distribution of thermal cracks in rock, but inhibits the width of cracks. The results also prove the reliability of the test system.

REAL-TIME MONITORING DEFORMATION OF BUILDING USING PHOTOGRAPHY DYNAMIC MONITORING SYSTEM

&#x0D; &#x0D; &#x0D; The spatial structure building is a type of building system; it is necessary to monitor deformation to determine its stability and robustness. Under the dynamic deformation of structures, it is challenging to determine appropriate zero image (the reference image) if we use the PST-IM- MP (photograph scale transformation-image matching-motion parallax) method to obtain the deformation of structures. This paper offers the Z-MP (zero-centered motion parallax) method to solve these problems and offers PDMS (Photography Dynamic Monitoring System) based on the digital photography system to monitor the dynamic deformation of the tennis stadium located in Jinan Olympic Sports Center. The results showed that the spatial structures of the tennis stadium were robust, and the deformations were elastic and within the permissible value. Compared with the PST-IM-MP method, the Z-MP method is more suitable for deformation monitoring structures under real-time deformation. This paper indicates PDMS has advantages of the simplicity of operations, automation, and the ability of non-contact dynamic deformation monitoring for multiple points in a short period. In the future, it will have broader application prospects.&#x0D; &#x0D; &#x0D;

Design of a dynamic monitoring system for patient health indexes based on mobile terminal

A dynamic monitoring system for patient health indexes based on mobile terminal is designed. The design of the system is divided into four parts. Firstly, four-layer framework of the system is designed, including acquisition, communication, display and alarm. Secondly, the hardware of the system is designed. Thirdly, the three software running programs of the system are designed, including patients’ physiological parameter acquisition program, communication transmission program, display and early warning. Finally, the simulation test shows that the monitoring results are close to the actual results. This also indicates that the designed system can accurately detect the health status of patients.

Estimation of Hourly Traffic Flows from Floating Car Data for Vehicle Emission Estimation

In order to model air quality in heavy pollution days, a dynamic emission monitoring system is implemented in the Beijing road network, which requires the input of hourly traffic flows. Floating car data (FCD) is increasingly employed for flow estimation based on the fundamental diagrams to supplement data provided by stationary detectors. However, existing studies often used a typical fundamental diagram without considering the hysteresis phenomena and the uncertainty of traffic flow estimation. This study aims to develop a multiperiod fundamental diagram for the traffic flow estimation from FCD considering the hysteresis phenomena. The result shows that the proposed multiperiod fundamental diagram can improve the accuracy of flow estimation. The uncertainty of traffic flow estimation at both 10 minutes and 1 hour is also quantified, and the result indicates that the variation of the estimation uncertainty at 1 hour is lower than that at 10 minutes, with an average 7% reduction of the range of 95% confidence interval (CI). But there is no significant difference in magnitudes of the estimation uncertainty at 1 hour compared with that at 10 minutes. Moreover, the uncertainty for congested flows is lower than that for free flows. In the case study, the proposed model is employed to develop the spatial and temporal distributions of flows and emissions for the metropolitan area in Beijing.

Experimental study on the effect of deep pine technology on water and salt transport in soda saline land

Saline-alkali land hinders the sustainable development of regional agriculture. In order to understand the law of soil water and salt movement under subsoiling technology, the effect of subsoiling technology on soil water and salt movement in soda saline-alkali soil was studied. Because northeast China is a typical concentrated distribution area of soda saline-alkali land, the representative section of Songnen Plain is selected. Based on the field observation method, the change of water and salt transport in soda saline-alkali soil after the application of subsoiling technology under the existing natural conditions was studied. The 1sz-210 multi-functional vibration subsoiler was selected as subsoiling tool in the experiment. Two sets of groundwater dynamic monitoring systems and four sets of soil water dynamic monitoring systems were set up in the experimental area to monitor groundwater water and salt dynamic and soil water and salt dynamic in 0-–20-cm soil layer. The results showed that (1) after repeated loosening for many years, soil evapotranspiration and runoff decreased, thus reducing soil pH value; (2) after repeated loosening for many years, soil cation exchange capacity and electrical conductivity changed little; (3) after repeated loosening for many years, soil nutrients improved, but did not reach the level of cultivated soil nutrients.

High-Rise Building Deformation Monitoring Based on Remote Wireless Sensor Network

Deformation monitoring of high-rise buildings is necessary. Among them, foundation settlement is one of the most important factors of building deformation. This paper designs the layout of the high-rise building foundation settlement monitoring points and the monitoring method of the foundation settlement, designs and implements the above-mentioned remote wireless sensor network-based high-rise building foundation settlement dynamic early warning system of the lower computer hardware and software and the upper computer system. Analyzed the requirements of the system and designed the overall structure of the system. The functional analysis of remote wireless sensor network equipment, serial communication tools, and host computer system is done, and the whole working process of the dynamic monitoring system for the settlement of the foundation of high-rise buildings is introduced in detail. The system adopts the modular design idea, and the neural network SPKF method is proposed for the first time, and it is applied to the modeling and prediction of the nonlinear system of high-rise building deformation monitoring. This method solves the shortcomings of long training time of BP neural network, large dependence on initial value, and easy to fall into local extreme value. It also realizes the advantages of neural network with the ability to approximate arbitrary continuous functions and nonlinear mapping through SPKF. The results of calculation examples prove the feasibility and effectiveness of this idea and method.

Automatic Detection of the Circulating Cell-Free Methylated DNA Pattern of GCM2, ITPRIPL1 and CCDC181 for Detection of Early Breast Cancer and Surgical Treatment Response.

Simple SummaryBreast cancer is a multifactorial disease that arises from the cumulative accumulation of acquired genetic as well as epigenetic alterations. Epigenetic alteration constitutes a molecular signature that can serve as a promising biomarker for early detection. In this study, we carry out automatic detection of circulating cell-free methylated DNA, including GCM2, ITPRIPL1 and CCDC181, and find a pattern that can detect early breast cancer more accurately compared with currently used biomarkers. The pattern is also useful for the detection of the surgical responses of breast cancer patients. Circulating methylated CCDC181, GCM2 and ITPRIPL1 analysis could be combined with ultrasound to facilitate the early detection of breast cancer.The early detection of cancer can reduce cancer-related mortality. There is no clinically useful noninvasive biomarker for early detection of breast cancer. The aim of this study was to develop accurate and precise early detection biomarkers and a dynamic monitoring system following treatment. We analyzed a genome-wide methylation array in Taiwanese and The Cancer Genome Atlas (TCGA) breast cancer (BC) patients. Most breast cancer-specific circulating methylated CCDC181, GCM2 and ITPRIPL1 biomarkers were found in the plasma. An automatic analysis process of methylated ccfDNA was established. A combined analysis of CCDC181, GCM2 and ITPRIPL1 (CGIm) was performed in R using Recursive Partitioning and Regression Trees to establish a new prediction model. Combined analysis of CCDC181, GCM2 and ITPRIPL1 (CGIm) was found to have a sensitivity level of 97% and an area under the curve (AUC) of 0.955 in the training set, and a sensitivity level of 100% and an AUC of 0.961 in the test set. The circulating methylated CCDC181, GCM2 and ITPRIPL1 was also significantly decreased after surgery (all p < 0.001). The aberrant methylation patterns of the CCDC181, GCM2 and ITPRIPL1 genes means that they are potential biomarkers for the detection of early BC and can be combined with breast imaging data to achieve higher accuracy, sensitivity and specificity, facilitating breast cancer detection. They may also be applied to monitor the surgical treatment response.