MULTIFUNCTIONAL DATA COLLECTION SYSTEM FOR MONITORING THE STATE OF TECHNICAL FACILITIES

Представлен комплекс технических средств создания для системы сбора данных. Проведена формализация процессов реализации функций контроля технического объекта. Рассматриваемая система сбора данных состоит из функционально законченных устройств, выполняющих определенные функции в контексте работы системы. Данная система, с одной стороны, может быть одним из узлов распределенной системы сбора данных, с другой стороны, может использоваться автономно. Показана актуальность создания системы. В основе разработки использован RISC микроконтроллер STM32H743VIT6, семейства ARM Cortex-M7, работающий на частоте до 400 МГц. К основным модулям системы относятся 20-входовый распределитель напряжения; модуль питания и настройки; модуль цифрового управления; модуль анализа, хранения и передачи данных в управляющий компьютер. Рассмотрен состав и назначение этих модулей. За сбор данных в рассматриваемой системе отвечает цепочка устройств: датчик - схема согласования - АЦП - микроконтроллер. Поскольку в составе системы имеются не только АЦП, но и ЦАП, то на ее базе может быть реализована система управления объектом. Выбор датчиков для снятия информации обусловлен особенностями объекта контроля. Имеется возможность в ручном режиме измерять электрические параметры контуров связи, в том числе обеспечивать проверку питания IDE и SATA-устройств. Представленная система сбора данных является средством, которое может быть использовано для автоматизации процессов контроля состояния технических объектов We present a set of technical means for creating a data collection system. We carried out the formalization of the processes of implementing the control functions of a technical object. The multifunctional data collection system consists of functionally complete devices that perform certain functions in the context of the system operation. This system, on the one hand, can be one of the nodes of a distributed data collection system, on the other hand, it can be used autonomously. We show the relevance of the system creation. The development is based on the RISC microcontroller STM32H743VIT6, ARM Cortex-M7 family, operating at a frequency of up to 400 MHz. The main modules of the system include: a 20-input voltage distributor; a power supply and settings module; a digital control module; a module for analyzing, storing and transmitting data to a control computer. We considered the composition and purpose of these modules. A chain of devices is responsible for data collection in the system under consideration: sensor - matching circuit - ADC - microcontroller. Since the system includes not only an ADC but also a DAC, an object management system can be implemented on its basis. The choice of sensors for taking information is due to the characteristics of the object of control. It is possible to manually measure the electrical parameters of the communication circuits, including checking the power supply of IDE and SATA devices. The presented data collection system is a tool that can be used to automate the processes of monitoring the condition of technical facilities

Quality Improvement in Juvenile Idiopathic Arthritis: a Mixed-methods Implementation Pilot of the CAPTURE-JIA Dataset

BackgroundA significant proportion of children and young people with juvenile idiopathic arthritis (JIA) do not achieve inactive disease during the first two years following diagnosis. Refinements to clinical care pathways have the potential to improve clinical outcomes but a lack of consistent and contemporaneous clinical data presently precludes standard setting and implementation of meaningful quality improvement programmes. This study was the first to pilot clinical data collection and analysis using the CAPTURE-JIA dataset, and to explore patient and clinician-reported feasibility and acceptability data.MethodsA multiphase mixed-methods approach enabled prospective collection of quantitative data to examine the feasibility and efficacy of dataset collection and of qualitative data informing the context and processes of implementation. An initial paper pilot informed the design of a bespoke electronic data collection system (the Agileware system), with a subsequent electronic pilot informing the final CAPTURE-JIA data collection tool. ResultsPaper collection of patient data was feasible but time-consuming in the clinical setting. Phase 1 paper pilot data (121 patients) identified three themes: problematic data items (14/62 data items received >40% missing data), formatting of data collection forms and a clinician-highlighted need for digital data collection, informing Phase 2 electronic data collection tool development. Patients and families were universally supportive of the collection and analysis of anonymised patient data to inform clinical care. No apparent preference for paper / electronic data collection was reported by families. Phase 3 electronic pilot data (38 patients) appeared complete and the system reported to be easy to use. Analysis of the study dataset and a dummy longitudinal dataset confirmed that all eleven JIA national audit questions can be answered using the electronic system. ConclusionsMulticentre CAPTURE-JIA data collection is feasible and acceptable, with a bespoke data collection system highlighted as the most satisfactory solution. The study is informing ongoing work towards a streamlined and flexible national paediatric data collection system to drive quality improvement in clinical care.

Food waste generation in a university and the handling efficiency of a university catering facility-scale automatic collection system

Purpose This study aims to evaluate the generation of food waste in a university and the handling efficiency of an automatic waste collection system. Design/methodology/approach The quantity of food waste generated and collected from a university canteen was surveyed. The food waste handling efficiencies using manual collection strategy and automated food waste collection system were determined by the density of food waste. Life-cycle costing analysis was done to evaluate the economic impacts of various food waste collection methods. Findings As compared with the manual collection approach, the automatic system can improve the food waste handling efficiency by 30% (from 0.01 to 0.007 bin kg−1) and reduce the water use by 20% (from 0.512 to 0.406 L kg−1); however, it also consumes 4.4 times more energy (from 0.005 to 0.027 kWh kg−1). Under ideal system operation, the 10-year cost of food waste collection was significantly reduced from $3.45 kg−1 in the manual collection to $1.79 kg−1, and the payback period of the system collection was 1.9 years without discount. Practical implications The outcomes of this study show that an automatic food waste collection system is feasible, and it is recommended for small- and medium-sized catering facilities (e.g. canteens and food courts) to improve food waste handling efficiency. This study also provides useful reference data of automatic food waste collection systems for planning food waste management programs for catering facilities. Originality/value To the best of the authors’ knowledge, this is the first study to evaluate the waste handling efficiency, operational expenditure and life-cycle cost of a small-scale automatic food waste collection system.

Implementation of Snow and Ice Sports Health and Sports Information Collection System Based on Internet of Things

The promotion of ice and snow sports not only provides professional athletes for the Winter Olympics but also acts as appreciative mass bases for ice and snow sports. The appearance of ice and snow sports will bring a new consumption pattern and develop a new ice and snow industry. In this paper, an Internet of Things (IoT)-based sports information collection system which is specifically designed and developed for the healthcare domain specifically in the snow and ice sports is proposed. The physiological parameters such as body temperature, ECG, blood pressure, blood sugar, and blood oxygen saturation are captured through various monitoring devices. These physiological parameters are transmitted to the mobile device by the wireless module and mobile device that receives and displays these physiological parameters. A complete hardware design of the whole ice and snow sports health and sports information acquisition system, which is based on the Internet of Things, is given, and then, there is the overall design scheme of the system, such as adopted modular design for the system, attitude measurement unit, UWB positioning unit, data storage, and communication unit, respectively. The measurement results of the professional medical equipment are compared with those of acquisition equipment in real environment of ice and sports. These results have verified accuracy of data collected by acquisition equipment and meet the design requirements of the proposed system.

Smart City Rail Automatic Fare Collection System Under the Background of Big Data

With the rapid development of Internet technology, the process of urban construction is accelerating and the level of urbanization is further improved. In the smart city rail automatic fare collection system, there are a large number of data information and data that need to be processed manually. The traditional manual method not only consumes human, material and financial resources, but also has low efficiency. Therefore, this paper proposes a smart city rail automatic fare collection system based on big data design. Firstly, this paper expounds the concept of smart city rail transit and studies the function of automatic fare collection system. Then it studies the definition and characteristics of big data, designs the method of system development, and tests the performance of the system. The test results show that the system runs smoothly, accounts for a relatively small amount of memory, has a fast response speed and low delay. Most passengers are satisfied with the system.

Socioeconomic Aspects and Characteristics of Artisanal Fishing in the Marchica Lagoon (Mediterranean, Morocco)

Marchica lagoon offers very favourable conditions for practice of artisanal fishing which is the main socioeconomic activity carried out in this coastal ecosystem. However, artisanal fishing there suffers from a lack of control and management due to the absence of a data collection system on the various biological and socioeconomic aspects of this fishery. Thus, it considers serious threaten their sustainability. The main purpose of the paper to give a comprehensive account of artisanal fishing and its socioeconomic aspects in the Marchica lagoon, through a survey carried out at five sites around the lagoon. It has been found that there a low level of education among fishermen. The fishermen practiced two gears, pound net and trammel net. The economical analysis showed that the total annual gross product per boat is about 15766,80 USD, which gives an average monthly income of about 1148, 10USD par boat. Therefore, the wealth produced by these fisheries have a real impact on the quality of the fishermen live. Hence, ensure sustainable development of this fishery.