Real-time Module Research Articles

Could We Realize the Fully Flexible System by Real-Time Computing with Thin-Film Transistors?

Flexible electronic devices, such as the typical thin-film transistors, are widely adopted in the area of sensors, displayers, wearable equipment, and such large-area applications, for their features of bending and stretching; additionally, in some applications of lower-resolution data converters recently, where a trend appears that implementing more parts of system with flexible devices to realize the fully flexible system. Nevertheless, relatively fewer works on the computation parts with flexible electronic devices are reported, due to their poor carrier mobility, which blocks the way to realize the fully flexible systems with uniform manufacturing process. In this paper, a novel circuit architecture for image processing accelerator using Oxide Thin-film transistor (TFT), which could realize real-time image pre-processing and classification in the analog domain, is proposed, where the performance and fault-tolerance of image signal processing is exploited. All of the computation is done in the analog signal domain and no clock signal is needed. Therefore, certain weaknesses of flexible electronic devices, such as low carrier mobility, could be remedied dramatically. In this paper, Simulations based on Oxide TFT device model have demonstrated that the flexible computing parts could perform 5 × 5 Gaussian convolution operation at a speed of 3.3 MOPS/s with the energy efficiency of 1.83 TOPS/J, and realize image classification at a speed of 10 k fps, with the energy efficiency of 5.25 GOPS/J, which means that the potential applications to realize real-time computing parts of complex algorithms with flexible electronic devices, as well as the future fully flexible systems containing sensors, data converters, energy suppliers, and real-time signal processing modules, all with flexible devices.

Design of intelligent carpooling program based on big data analysis and multi-information perception

Carpool platform provides users with efficient service by making full use of the accurate mass data, which plays an important role in promoting carpool travel. The program builds a carpool web platform and mobile client. The backstage comprehensively uses GPS, GSM, WIFI and RFID technology of the internet of things to perceive the exact the user’s position information and realizes to monitor and manage user action trajectory in order to ensure the efficiency and security of carpool. The system is connected with the Amap interface to notify the real-time road condition and the information of the surrounding parking. Based on big data analysis, it also proposes data collaboration to eliminate the effect of data differences from mobile client and web platform, retrieve and filter valuable carpool information and recommend extra information based on carpool travel records. The scheme builds a real-time carpool module based on fixed time and route to meet the uncertain demands. The experimental results show that the driving time and distance of carpool could be saved by 25.7 and 12.4% respectively, which has preliminarily realized the intelligent, simple, flexible, efficient, convenient, economical and safe carpool with the aid of intelligent algorithm.

Training therapists to perform Pre-Employment Functional Assessments: A telerehabilitation approach.

Pre-Employment Functional Assessments (PEFA) are increasingly used in an attempt to obtain objective information on a potential employee's functional capabilities. In rural and remote communities, there is typically reduced access to qualified therapists to perform these assessments, in part attributable to the time and costs associated with travelling to training courses. One potential method of providing the relevant training to conduct PEFAs is through the use of technologies such as videoconferencing or internet-based modules. The purpose of this project is to investigate the effectiveness of training therapists and therapy students in performing JobFit System PEFAs via technology when compared with a face-to-face control group. Fifty-three participants, consisting of 28 professional physiotherapists and occupational therapists, and 25 final year University of Queensland (UQ) physiotherapy and occupational therapy students, underwent JobFit Systems International PEFA training via one of four intervention groups: face-to-face, realtime videoconferencing, group-based online module and individual online module. Of the 53 participants, 49 achieved the minimum competency level of 75% in post-training competency assessments. No significant difference was found in training levels between intervention groups. The results of this study suggest that technology, such as real-time videoconference and online learning modules, can be used to train both therapists and students in how to perform JobFit System PEFAs.

Real-time SLAM relocalization with online learning of binary feature indexing

A visual simultaneous localization and mapping (SLAM) system usually contains a relocalization module to recover the camera pose after tracking failure. The core of this module is to establish correspondences between map points and key points in the image, which is typically achieved by local image feature matching. Since recently emerged binary features have orders of magnitudes higher extraction speed than traditional features such as scale invariant feature transform, they can be applied to develop a real-time relocalization module once an efficient method of binary feature matching is provided. In this paper, we propose such a method by indexing binary features with hashing. Being different from the popular locality sensitive hashing, the proposed method constructs the hash keys by an online learning process instead of pure randomness. Specifically, the hash keys are trained with the aim of attaining uniform hash buckets and high collision rates of matched feature pairs, which makes the method more efficient on approximate nearest neighbor search. By distributing the online learning into the simultaneous localization and mapping process, we successfully apply the method to SLAM relocalization. Experiments show that camera poses can be recovered in real time even when there are tens of thousands of landmarks in the map.

Technical note: Efficient online source identification algorithm for integration within a contamination event management system

Abstract. Drinking water distribution networks are part of critical infrastructures and are exposed to a number of different risks. One of them is the risk of unintended or deliberate contamination of the drinking water within the pipe network. Over the past decade research has focused on the development of new sensors that are able to detect malicious substances in the network and early warning systems for contamination. In addition to the optimal placement of sensors, the automatic identification of the source of a contamination is an important component of an early warning and event management system for security enhancement of water supply networks. Many publications deal with the algorithmic development; however, only little information exists about the integration within a comprehensive real-time event detection and management system. In the following the analytical solution and the software implementation of a real-time source identification module and its integration within a web-based event management system are described. The development was part of the SAFEWATER project, which was funded under FP 7 of the European Commission.

Design and implementation of new control room system in Damavand tokamak

The aim of this paper is design and implementation of an up-to-date control room. The previous control room had a lot of constraints and it was not apposite to the sophisticated diagnostic systems as well as to the modern control and multivariable systems. Although it provided the best output for the considered experiments and implementing offline algorithms among all similar plants, it needed to be developed to provide more capability for complex algorithm mechanisms and this work introduces our efforts in this area. Accordingly, four leading systems were designed and implemented, including real-time control system, online Data Acquisition System (DAS), offline DAS, monitoring and data transmission system. In the control system, three real-time control modules were established based on Digital Signal Processor (DSP). Thanks to them, implementation of the classic and linear and nonlinear intelligent controllers was possible to control the plasma position and its elongation. Also, online DAS was constructed in two modules. Using them, voltages and currents of charge for the capacitor banks and pressure of different parts in vacuum vessel were measured and monitored. Likewise, by real-time processing of the online data, the safety protocol of plant performance was accomplished. In addition, the offline DAS was organized in 13 modules based on Field Programmable Gate Array (FPGA). This system can be used for gathering all diagnostic, control, and performance data in 156 channels. Data transmission system and storing mechanism in the server was provided by data transmitting network and MDSplus standard protocol. Moreover, monitoring software was designed so that it could display the required plots for physical analyses. Taking everything into account, this new platform can improve the quality and quantity of research activities in plasma physics for Damavand tokamak.

An Ultra-Short-Term Pre-Plan Power Curve based Smoothing Control Approach for Grid-connected Wind-Solar-Battery Hybrid Power System

Recently, wind-solar-battery hybrid power generation has become one of the most popular methods to tackle the grid integrating problem of wind and solar power. A novel ultra-short-term pre-plane power curve based smoothing control approach is proposed for grid-connected wind-solar-battery hybrid power system (WSBHPS). A pre-plan power curve based scheduling module, which takes the grid limitation of maximum powers fluctuation, maximizing wind and solar power utilization and reducing use of battery energy storage system(BESS) as objectives, is designed according to ultra-short-term prediction information of wind and solar power and state of charging (SOC) of BESS. A real-time power fluctuation compensation module is designed based on weighted moving average filtering algorithm to smooth power fluctuation in real time. The results of simulation experiments show that the proposed approach could not only reduce the use of BESS, but also has better smoothing effectiveness compared with traditional low filter based smoothing control approach.

Advanced real-time multi-display educational system (ARMES): An innovative real-time audiovisual mentoring tool for complex robotic surgery.

The recent scientific and technologic advances have profoundly affected the training of surgeons worldwide. We describe a novel intraoperative real-time training module, the Advanced Robotic Multi-display Educational System (ARMES). We created a real-time training module, which can provide a standardized step by step guidance to robotic distal subtotal gastrectomy with D2 lymphadenectomy procedures, ARMES. The short video clips of 20 key steps in the standardized procedure for robotic gastrectomy were created and integrated with TilePro™ software to delivery on da Vinci Surgical Systems (Intuitive Surgical, Sunnyvale, CA). We successfully performed the robotic distal subtotal gastrectomy with D2 lymphadenectomy for patient with gastric cancer employing this new teaching method without any transfer errors or system failures. Using this technique, the total operative time was 197 min and blood loss was 50 mL and there were no intra- or post-operative complications. Our innovative real-time mentoring module, ARMES, enables standardized, systematic guidance during surgical procedures.

A precision control method for plasma electron density and Faraday rotation angle measurement on HL-2A

The precision of plasma electron density and Faraday rotation angle measurement is a key indicator for far-infrared laser interferometer/polarimeter plasma diagnosis. To improve the precision, a new multi-channel high signal-to-noise ratio HCOOH interferometer/polarimeter has been developed on the HL-2A tokamak. It has a higher level requirement for phase demodulation precision. This paper introduces an improved real-time fast Fourier transform algorithm based on the field programmable gate array, which significantly improves the precision. We also apply a real-time error monitoring module (REMM) and a stable error inhibiting module (SEIM) for precision control to deal with the weak signal. We test the interferometer/polarimeter system with this improved precision control method in plasma discharge experiments and simulation experiments. The experimental results confirm that the plasma electron density precision is better than 1/3600 fringe and the Faraday rotation angle measurement precision is better than 1/900 fringe, while the temporal resolution is 80 ns. This performance can fully meet the requirements of HL-2A.

Wearable smart device incorporating real-time clock module and alcohol sensor

<p>In this work, we designed and built a wearable device with battery-saving and alcohol-sensing functions. The motivation for this device was to deliver a proof-of-concept wearable and functional device which alerts the user of possible alcohol breath level above a threshold limit and can be worn for an extended time due to battery saving features. It was built using a combination of Arduino electronics and sensors, and encased in 3D-printed ABS bracelet. A 4-digit 7-segment LED display on board is used to display time which is tracked using a real-time clock module. A 3-axis accelerometer determines the orientation of the device and activates the display only when it is held in a specific orientation by the user. An example is when two axes are normal to the gravitational pull while a single axis is in line with gravity to simulate users raising their arm parallel to the ground. A slight tolerance in the setting ensures that the threshold for activation is not overly strict. This will ensure that the LED display is activated over a narrow range of orientations. The alcohol sensor is sensitive to alcohol content in the air. The threshold for detection can be changed and calibrated to the user specific needs. The alcohol sensor is slightly sensitive to humidity and very sensitive to alcohol. It has been tested with ethanol, wine and beer with 95%, 12.5% and 4.55% alcohol content, respectively. Because the alcohol sensor works by using a resistor that continuously pulls current and detects changes in resistivity due to adsorption of alcohol molecules, it consumes a lot of power when turned on continuously. In order to conserve power, the sensor can be activated only when the device is oriented in a specific position or when the user pushes a button. An Arduino Nano board is used to reduce the overall size of the device. It is powered using an external 5V battery via a mini-USB connector. In order to reduce the number of IO pins used, the RTC, LED and accelerometer were configured to use I2C interface connections. A default SCL clock speed of 100 kHz is used and the component IOs are connected to a common SDA line which terminates at one analog pin. In normal operation, the RTC is configured to read time continuously at one second interval. It is preprogramed with the correct date and time prior to operation of the device.</p>

Calculation tool and closed loop control for the JCO ® pipe forming process

Abstract In this paper, a new solution for the process planning and closed loop control of the JCO ® pipe forming process is presented. JCO ® pipe forming enables the production of open seam pipes out of steel plates by progressive bending (usually between 15 and 23 subsequent circumferential bending steps). Typical JCO ® pipes can be found in a diameter range from 457 to 1422 mm (18 to 56 inch) with wall thicknesses of up to 45 mm. These longitudinal-submerged arc-welded (LSAW) pipes are usually 12.2 or 18.3 m long. One crucial process parameter is the stroke for each single bending step depending on the required open seam pipe shape: With regard to subsequent process steps a perfect round shape is not always beneficial. Thus, the calculation software ShapeBase has been implemented into practice recently, taking into account the most important steps in the pipe production process chain. This fast software tool allows the process planning and optimisation of JCO ® plate forming to pipe. But due to variations in raw material (e.g. chemistry, yield point, wall thickness) even reliable theoretical calculations of process parameters can only be taken as initial machine values. To decrease further optimisation effort and increase the quality not only of the whole pipe lot but also of each single pipe, the above mentioned tool has been extended by an in-line measuring unit ShapeView and a real-time process control module ShapeControl.

A Novel Medium Access Control Protocol for Real-Time Wireless Communications in Industrial Automation

In this paper, a novel Medium Access Control (MAC) protocol for industrial Wireless Local Area Networks (WLANs) is proposed and studied. The main challenge in industry automation systems is the ultra-low network latency with a target upper bound in the order of 1 ms while maintaining high network reliability and availability. The novelty of the proposed wireless MAC protocol resides in its similar latency performance as its counterpart in wired industrial LAN. First, the functional design of the MAC protocol is introduced. Then its performance results gained from hardware implementation (SystemC and VHDL) on an FPGA platform are presented. Finally, a real-time communication module which achieves the ultra-low latency required in industrial automation is described.

BRIEF ANALYSIS OF REAL-TIME DATA COMPUTER REGISTRATION, TRANSMISSION AND PROCESSING METHODS IN NUCLEAR PHYSICS

Structural and principal problems in the field of control equipment for nuclear physics development are examined, in particular, the influence of dead time on the spectrum data aggregation and methods of correcting this influence. The variants of the organization of spectrometric systems, their advantages and disadvantages, the possibility of using different digital interfaces and computer buses are analyzed, and some of existing spectrometric equipment implementations examples are reviewed. The result of the work is an analysis of existing approaches to the equipment for electronic spectrometry organization and development, as well as a recommendation based on the approaches and different technological solutions to achieve the best ratio of performance and versatility is given. The problems that may be encountered in the spectrometric equipment development process and the existing solutions are described. The workability of various operating systems and real-time programming modules to the organization of processing equipment is examined, also the impact on the development-related cost and laboriousness of the opted facilities for solving these problems is examined, and the optimal solutions are proposed.

A Portable Array-Type Optical Fiber Sensing Instrument for Real-Time Gas Detection.

A novel optical fiber array-type of sensing instrument with temperature compensation for real-time detection was developed to measure oxygen, carbon dioxide, and ammonia simultaneously. The proposed instrument is multi-sensing array integrated with real-time measurement module for portable applications. The sensing optical fibers were etched and polished before coating to increase sensitivities. The ammonia and temperature sensors were each composed of a dye-coated single-mode fiber with constructing a fiber Bragg grating and a long-period filter grating for detecting light intensity. Both carbon dioxide and oxygen sensing structures use multimode fibers where 1-hydroxy-3,6,8-pyrene trisulfonic acid trisodium salt is coated for carbon dioxide sensing and Tris(2,2′-bipyridyl) dichlororuthenium(II) hexahydrate and Tris(bipyridine)ruthenium(II) chloride are coated for oxygen sensing. Gas-induced fluorescent light intensity variation was applied to detect gas concentration. The portable gas sensing array was set up by integrating with photo-electronic measurement modules and a human-machine interface to detect gases in real time. The measured data have been processed using piecewise-linear method. The sensitivity of the oxygen sensor were 1.54%/V and 9.62%/V for concentrations less than 1.5% and for concentrations between 1.5% and 6%, respectively. The sensitivity of the carbon dioxide sensor were 8.33%/V and 9.62%/V for concentrations less than 2% and for concentrations between 2% and 5%, respectively. For the ammonia sensor, the sensitivity was 27.78%/V, while ammonia concentration was less than 2%.

Stochastic EMC/EMI Experiments Optimization Using Resampling Techniques

Recent studies have shown high interest in statistical methods dedicated to the prediction of the maximum confidence levels in simulations and measurements for risk assessment in electromagnetic compatibility. In particular, it has been shown that one of the main issues remains the access to a number of samples allowing the assessment of the risks in regards to test setup random variables. In this paper, it is argued that a real-time bootstrapping module enables to optimize the number of experiments while estimating the maximum confidence levels of the accessible samples. An efficient technique is presented to substitute the full experimental requirements to a simple and low time-consuming mathematical algorithm. The benefits expected of this method are illustrated throughout experimental shielding effectiveness power measurements. Based upon an optimized statistical approach, the first statistical moments (e.g., mean and standard deviation) of power received inside a cabinet are provided jointly with an accurate assessment of power's quantiles, leading to a better evaluation of extreme values.

Real-time blind source separation system with applications to distant speech recognition

A real-time BSS system based on DUET was developed and implemented in order to assess its potential as the front-end for a DSR engine. The system uses only two closely-spaced standard omni-directional microphones and a computer soundcard and was developed for low reverberation environments with several human speakers and different noise sources.A novel multi-source real-time audio streaming module was developed, with arbitrary statistics, movement tracking, continuity cues such as position and cross-correlation, a spurious peak classifier stage based on kurtosis, and spectral subtraction post-processing.Two intrinsic error causes for the binaural attenuation and delay estimators were identified, due to FFT spectral leakage and to sibilants, which violate the taken for granted DUET assumptions. A comprehensive study on time windows was done and new window types proposed in order to minimize the DUET assumptions violations.The implemented system correctly identifies the clusters in the binaural estimators’ space for the case of a real room with two human speakers, up to distances of 2m from the two microphones, although for distances greater than 1m the separation quality quickly degrades.

무선 통신 환경 적용이 가능한 실시간 채널 모듈 구현

본 논문은 소프트웨어 라디오 범용 하드웨어 USRP(Universal Software Radio Peripheral) 보드와 데이터 수집 및 분석을 위한 프로그램 LabVIEW(Laboratory Virtual Instrument Engineering Workbench)를 이용하여 실시간으로 무선 통신 환경을 적용할 수 있는 채널 모듈을 구현하였다. 제안된 모듈은 기존에 하드웨어로 구현된 인지 무선, 주파수 간섭 분석 등의 시뮬레이터와 함께 쓰여 해당 테스트베드의 전파 환경에 대한 신뢰도를 높일 수 있다. 게다가, 통신 가능한 데이터 전송속도가 한정적이라는 기존 하드웨어 시뮬레이터의 한계를 모듈내의 설계를 통해 극복하였다. 이와 더불어 원하는 통신 시스템의 동작주파수, 안테나 출력, 송수신기 간의 거리 등의 채널 파라미터를 입력하여 보다 쉽게 통신 성능을 예측할 수 있고, 추후 새로운 시나리오 및 통신 채널을 구현할 시에 유연하게 적용할 수 있다는 장점을 가지고 있다. 본 논문에서 모듈을 이용해 시나리오에 따른 통신 성능을 성상도 및 BER을 통해 예측하였고, 이 결과를 통해 제안된 모듈을 이용한 통신 성능 예측이 가능함을 확인하였다. In this paper, A real-time channel module which can apply the wireless propagation channel was developed using USRP and Lab-VIEW. When the proposed channel module is used in conjunction with the implemented HW(hardware) simulators for cognitive radio and frequency interference analysis and so on, it can increase the reliability about wireless propagation environments. In addition, the proposed module overcomes the limit of existing HW simulator that data transfer rate is limitative in communication system through the design of the inner parts. Along with this, it is possible to apply channel parameters necessary to estimate the easier communication performance. Also, this has the advantage that it can be flexibly applied in implementing the communication channel with the upcoming new scenarios. The proposed module can estimate the communication performance via constellation and BER using the implemented module.

Evaluation of Automatically Assigned Job-Specific Interview Modules

In community-based epidemiological studies, job- and industry-specific 'modules' are often used to systematically obtain details about the subject's work tasks. The module assignment is often made by the interviewer, who may have insufficient occupational hygiene knowledge to assign the correct module. We evaluated, in the context of a case-control study of lymphoid neoplasms in Asia ('AsiaLymph'), the performance of an algorithm that provided automatic, real-time module assignment during a computer-assisted personal interview. AsiaLymph's occupational component began with a lifetime occupational history questionnaire with free-text responses and three solvent exposure screening questions. To assign each job to one of 23 study-specific modules, an algorithm automatically searched the free-text responses to the questions 'job title' and 'product made or services provided by employer' using a list of module-specific keywords, comprising over 5800 keywords in English, Traditional and Simplified Chinese. Hierarchical decision rules were used when the keyword match triggered multiple modules. If no keyword match was identified, a generic solvent module was assigned if the subject responded 'yes' to any of the three solvent screening questions. If these question responses were all 'no', a work location module was assigned, which redirected the subject to the farming, teaching, health professional, solvent, or industry solvent modules or ended the questions for that job, depending on the location response. We conducted a reliability assessment that compared the algorithm-assigned modules to consensus module assignments made by two industrial hygienists for a subset of 1251 (of 11409) jobs selected using a stratified random selection procedure using module-specific strata. Discordant assignments between the algorithm and consensus assignments (483 jobs) were qualitatively reviewed by the hygienists to evaluate the potential information lost from missed questions with using the algorithm-assigned module (none, low, medium, high). The most frequently assigned modules were the work location (33%), solvent (20%), farming and food industry (19%), and dry cleaning and textile industry (6.4%) modules. In the reliability subset, the algorithm assignment had an exact match to the expert consensus-assigned module for 722 (57.7%) of the 1251 jobs. Overall, adjusted for the proportion of jobs in each stratum, we estimated that 86% of the algorithm-assigned modules would result in no information loss, 2% would have low information loss, and 12% would have medium to high information loss. Medium to high information loss occurred for <10% of the jobs assigned the generic solvent module and for 21, 32, and 31% of the jobs assigned the work location module with location responses of 'someplace else', 'factory', and 'don't know', respectively. Other work location responses had ≤8% with medium to high information loss because of redirections to other modules. Medium to high information loss occurred more frequently when a job description matched with multiple keywords pointing to different modules (29-69%, depending on the triggered assignment rule). These evaluations demonstrated that automatically assigned modules can reliably reproduce an expert's module assignment without the direct involvement of an industrial hygienist or interviewer. The feasibility of adapting this framework to other studies will be language- and exposure-specific.

An Integrated Simulation Module for Cyber-Physical Automation Systems.

The integration of Wireless Sensors Networks (WSNs) into Cyber Physical Systems (CPSs) is an important research problem to solve in order to increase the performances, safety, reliability and usability of wireless automation systems. Due to the complexity of real CPSs, emulators and simulators are often used to replace the real control devices and physical connections during the development stage. The most widespread simulators are free, open source, expandable, flexible and fully integrated into mathematical modeling tools; however, the connection at a physical level and the direct interaction with the real process via the WSN are only marginally tackled; moreover, the simulated wireless sensor motes are not able to generate the analogue output typically required for control purposes. A new simulation module for the control of a wireless cyber-physical system is proposed in this paper. The module integrates the COntiki OS JAva Simulator (COOJA), a cross-level wireless sensor network simulator, and the LabVIEW system design software from National Instruments. The proposed software module has been called “GILOO” (Graphical Integration of Labview and cOOja). It allows one to develop and to debug control strategies over the WSN both using virtual or real hardware modules, such as the National Instruments Real-Time Module platform, the CompactRio, the Supervisory Control And Data Acquisition (SCADA), etc. To test the proposed solution, we decided to integrate it with one of the most popular simulators, i.e., the Contiki OS, and wireless motes, i.e., the Sky mote. As a further contribution, the Contiki Sky DAC driver and a new “Advanced Sky GUI” have been proposed and tested in the COOJA Simulator in order to provide the possibility to develop control over the WSN. To test the performances of the proposed GILOO software module, several experimental tests have been made, and interesting preliminary results are reported. The GILOO module has been applied to a smart home mock-up where a networked control has been developed for the LED lighting system.

소화약제 누기 감시장치의 모듈개발 및 성능검증에 관한 연구

가스계소화설비는 소화약제의 자연 누기와 소화설비 노후로 인한 누기 등으로 화재진압 능력이 저하되는 문제점이 발생하고 있다. 이에 본 연구에서는 소화약제의 누기를 실시간으로 감지하는 압력누기 체크센서 모듈을 개발하였으며, 개발 모듈에 대한 성능평가를 하였다. 국내 외적으로 압력누기 감시 시스템에 대한 명확한 시험기준이 마련되어 있지 않다. 따라서 국외 유사 기준 ISO 7240, FM 1421와 국내 수신기 형식승인 및 제품검사의 기술기준을 참고하여 개발 모듈에 맞게 기본 성능과 내환경성에 대한 기준을 마련하고 평가를 실행하였다. 기본 성능 평가는 압축공기를 모듈에 인가하는 방식으로 최저작동 압력이 0.3 bar인 것을 확인하였다. 내환경성 검증은 통상적으로 발생할 수 있는 기후변화에도 오작동 없이 정상적으로 작동하는지를 확인하였다. 그 결과, 고온(<TEX>$50^{\circ}C$</TEX>) 및 저온(<TEX>$-10^{\circ}C$</TEX>) 환경 기준에서 이상 없이 정상 작동하였다. One of the main problems with gaseous fire extinguishers is the decrease in fire suppression capability due to the leakage of the fire extinguishing agents, either naturally or caused by obsolete equipment. Therefore, in this study, a real-time detector module for monitoring pressure leakages was developed and an assessment on its performance was carried out. Currently, there are no domestic or global standards for testing pressure leakage detection systems. Therefore, similar global standards, such as ISO 7240 and FM 1421, and the domestic law on "Receiver type-approval and technical standards for product inspection" were used as a reference for assessing the performance of the newly developed module. Its basic performance was assessed by applying compressed air to the module, and, as a result, the minimum working pressure was identified as 0.3 bar. Its environmental qualification was carried out to confirm the proper functioning of the module in different climates and the module was confirmed to function properly at both high (<TEX>$50^{\circ}C$</TEX>) and low (<TEX>$-10^{\circ}C$</TEX>) temperatures.