Research on Portable Field-Testing Device of Infrared Thermal Imager Performance

2013 ◽  
Vol 823 ◽  
pp. 354-357
Author(s):  
Xiao Dan Gao
Keyword(s):  
Performance Test ◽  
Low Cost ◽  
Performance Testing ◽  
Field Testing ◽  
Infrared Light ◽  
Optical Parameters ◽  
Thermal Imager ◽  
Testing Device ◽  
Temperature Feedback ◽  
Infrared Thermal Imager

Performance test of infrared thermal imager is very significant for its working life and field maintenance, but available test equipment is huge volume, strict requirements for environment and user, high cost in use. According to the deficiency of field testing of infrared thermal imager performance, the method was put forward that using high precise temperature feedback controlled thermoelectric cooling module to instead expensive blackbody furnace. The techniques were adopted in the method such as infrared light signals simulation, optical-electric signals auto-detecting, image processing and the fusion of multi-detecting signals. The performance testing device of infrared thermal imager with low cost, convenient to field testing and maintenance was designed, the design broke the traditional model that the test of infrared thermal imager must be under the given condition, and the testing of electric and optical parameters should be separated. Keywords:infrared thermal imager; performance test; simulating infrared target; temperature feedback control

Early Forest Fire Identification Algorithm of Infrared Thermal Imager

2012 ◽  
Vol 610-613 ◽  
pp. 3323-3327
Author(s):  
Xing Wei Li ◽  
Yu Fei Zhou ◽  
Xiao Chuang Li ◽  
Zhen Shi Wang ◽  
Ze Peng Wu
Keyword(s):  
Forest Fire ◽  
Field Testing ◽  
Research Trend ◽  
Identification Algorithm ◽  
Thermal Imager ◽  
New Research ◽  
Infrared Thermal Imager

Forest fire identification by infrared thermal imager has beening a new research trend. However, currently the most algorithms of forest fire identification are usually designed based on the process designer’s experiences. Unfortunately, few researches on the efficiency of those algorithms have been developed when they were used to identify field forest fire. The response of inchoate forest fire identification algorithm by infrared thermal imager was investigated in this study according to different field testing times and scales. The results show that compare means appears more stability when using it to detect fire within it eliminates most interferences but also meets the requirement of long-space detecting, compared to other two methods.

scholarly journals Performance Test of the Waste Water Ammonia Converter Device (AnCerD) for the Ammonia Removal in Shrimp Farm Industry

2019 ◽  
Vol 2 ◽  
pp. 197-200
Author(s):  
Karmanto Karmanto
Keyword(s):  
Performance Test ◽  
Water Cycle ◽  
Low Cost ◽  
Spectroscopic Method ◽  
Performance Testing ◽  
Ammonia Removal ◽  
Shrimp Farm ◽  
Monitoring Tools ◽  
Ammonia Conversion ◽  
Simple Technology

In Indonesia, shrimp farm is one type of fishery industry that  faces problems in relation to ammonia in its water cycle management, especially for PT Indokor Bangun Desa (PT IBD). The electrolysis way is one of the most potential methods for the shrimp farm’s ammonia wastewater removal because it is a simple technology with the low-cost technical operation and no hazardous emission produced. The objective of this preliminary research was to design an ammonia converter device (AnCerD) that equipped by simple ammonia monitoring tools and tested its performance at laboratory scale. The performance testing had been done include: testing of analyzer compartment for ammonia rapid analysis and testing of converter compartment for ammonia conversion capability. Testing of the AnCerD instrument shown good performance, where no significant different result between analyzer compartment measurement and spectroscopic method of SNI 06-6989.30-2005 (P>0.05). Good performance was also shown by converter compartment testing result where the ammonia conversion efficiency achieved more than 95.64% after 16 minutes.

Research on Source of Infrared Light Stress with Wide View Field

2014 ◽  
Vol 488-489 ◽  
pp. 1001-1005
Author(s):  
Dong Lin Yang ◽  
Qing Liang Zeng
Keyword(s):  
Light Stress ◽  
Automatic Monitoring ◽  
Field Application ◽  
Infrared Light ◽  
Reliability Test ◽  
Thermal Imager ◽  
Important Basis ◽  
Infrared Thermal Imager ◽  
Control Output

Aiming at full view field control problems of infrared thermal imager during Light stress reliability test,this paper designs a standard light source with wide view filed, makes infrared target and background achieve a quantitative and standardized output and provides an important basis for reliability test of infrared thermal imager,it is a kind of indemnification for improving the quality of thermal imager. In this paper, the background of light stress blackbody and the target of infrared target is designed to provide a standard light stress source for test, the design of parallel light pipe can provide a wide view field. Application of digital image processing technology achieves automatic monitoring during test and computer can control output on light stress background and target according to needs ,so this system is automated from image acquisition to data processing.

scholarly journals Prediction Models of Barite Crystallization and Inhibition Kinetics: Applications for Oil and Gas Industry

2021 ◽  
Vol 13 (15) ◽  
pp. 8533
Author(s):  
Chong Dai ◽  
Zhaoyi Dai ◽  
Yue Zhao ◽  
Xin Wang ◽  
Samiridhdi Paudyal ◽  
...  
Keyword(s):  
Oil And Gas ◽  
Prediction Models ◽  
Low Cost ◽  
Performance Testing ◽  
Field Testing ◽  
Oil And Gas Industry ◽  
Gas Production ◽  
Oil And Gas Production ◽  
Testing Method ◽  
Production Conditions

Barite is one of the most common mineral scales in the oilfield and its formation can sequester toxic strontium (Sr) and radium (Ra). Various scale inhibitors are widely used to inhibit its formation. The inhibition efficiencies of 18 common inhibitors were tested using an improved kinetic turbidity method over broad oil and gas production conditions. A theoretical and a semi-empirical barite crystallization and inhibition model were developed for the 18 most used scale inhibitors. Both models can work under a broad range of production conditions and are carefully reviewed against all available experimental data. These models have shown wide applications in industrial operations, field testing, and laboratory testing. Using the new models and testing method, a novel fast inhibitor performance testing method was proposed and validated. Furthermore, the barite crystallization and inhibition models also work well to predict the inhibition performance of mixed inhibitors. This study not only advanced barite scale inhibition in an efficiency and low-cost way during oil and gas production, but also provided new insights on understanding the fate and transport of toxic Sr and Ra.

scholarly journals Diagnostic Capabilities of a Smartphone- Based Low-Cost Microscope

2020 ◽  
Vol 6 (3) ◽  
pp. 522-525
Author(s):  
Dorina Hasselbeck ◽  
Max B. Schäfer ◽  
Kent W. Stewart ◽  
Peter P. Pott
Keyword(s):  
Low Cost ◽  
Field Of View ◽  
Parasitic Diseases ◽  
Optical Parameters ◽  
Trade Off ◽  
Resource Limited ◽  
Wide Range ◽  
Diagnostic Applications ◽  
Diagnostic Capabilities

AbstractMicroscopy enables fast and effective diagnostics. However, in resource-limited regions microscopy is not accessible to everyone. Smartphone-based low-cost microscopes could be a powerful tool for diagnostic and educational purposes. In this paper, the imaging quality of a smartphone-based microscope with four different optical parameters is presented and a systematic overview of the resulting diagnostic applications is given. With the chosen configuration, aiming for a reasonable trade-off, an average resolution of 1.23 μm and a field of view of 1.12 mm2 was achieved. This enables a wide range of diagnostic applications such as the diagnosis of Malaria and other parasitic diseases.

Evaluation of Asphalt Mixture Performance Using Cracking and Durability Tests at a Full-Scale Pavement Facility

2021 ◽  
pp. 036119812110218
Author(s):  
Amir Golalipour ◽  
Varun Veginati ◽  
David J. Mensching
Keyword(s):  
Performance Test ◽  
Asphalt Mixture ◽  
Performance Testing ◽  
Field Performance ◽  
Optimization Procedure ◽  
Cyclic Fatigue ◽  
Intermediate Temperature ◽  
Index Test ◽  
Reclaimed Asphalt ◽  
Indirect Tensile

In the asphalt materials community, the most critical research need is centered around a paradigm shift in mixture design from the volumetric process of the previous 20-plus years to an optimization procedure based on laboratory-measured mechanical properties that should lead to an increase in long-term pavement performance. This study is focused on advancing the state of understanding with respect to the value of intermediate temperature cracking tests, which may be included in a balanced mix design. The materials included are plant-mixed, laboratory-compacted specimens reheated from the 2013 Federal Highway Administration’s (FHWA’s) Accelerated Loading Facility (ALF) study on reclaimed asphalt pavement/reclaimed asphalt shingle (RAP/RAS) materials. Six commonly discussed intermediate temperature (cracking and durability) performance testing (i.e., Asphalt Mixture Performance Tester [AMPT] Cyclic Fatigue, Cantabro, Illinois Flexibility Index Test [I-FIT], Indirect Tensile Cracking [ITC, also known as IDEAL-CT], Indirect Tensile Nflex, and Texas Overlay Test) were selected for use in this study based on input from stakeholders. Test results were analyzed to compare differences between the cracking tests. In addition, statistical analyses were conducted to assess the separation among materials (lanes) for each performance test. Cyclic fatigue and IDEAL-CT tests showed the most promising results. The ranking from these two tests’ index parameters matched closely with ALF field performance. Furthermore, both showed reasonable variability of test data and they were successful in differentiating between different materials.

Performance Testing of Coal Fired Power Plants

2007 ◽  
Author(s):  
Shane E. Powers ◽  
William C. Wood
Keyword(s):  
Power Plant ◽  
Power Plants ◽  
Performance Test ◽  
Model Development ◽  
Performance Testing ◽  
The United States ◽  
Plant Performance ◽  
Cycle Performance ◽  
Test Program

With the renewed interest in the construction of coal-fired power plants in the United States, there has also been an increased interest in the methodology used to calculate/determine the overall performance of a coal fired power plant. This methodology is detailed in the ASME PTC 46 (1996) Code, which provides an excellent framework for determining the power output and heat rate of coal fired power plants. Unfortunately, the power industry has been slow to adopt this methodology, in part because of the lack of some details in the Code regarding the planning needed to design a performance test program for the determination of coal fired power plant performance. This paper will expand on the ASME PTC 46 (1996) Code by discussing key concepts that need to be addressed when planning an overall plant performance test of a coal fired power plant. The most difficult aspect of calculating coal fired power plant performance is integrating the calculation of boiler performance with the calculation of turbine cycle performance and other balance of plant aspects. If proper planning of the performance test is not performed, the integration of boiler and turbine data will result in a test result that does not accurately reflect the true performance of the overall plant. This planning must start very early in the development of the test program, and be implemented in all stages of the test program design. This paper will address the necessary planning of the test program, including: • Determination of Actual Plant Performance. • Selection of a Test Goal. • Development of the Basic Correction Algorithm. • Designing a Plant Model. • Development of Correction Curves. • Operation of the Power Plant during the Test. All nomenclature in this paper utilizes the ASME PTC 46 definitions for the calculation and correction of plant performance.

A Comparative Study of Genetic Algorithms and Gradient Methods for RM12 Turbofan Engine Diagnostics and Performance Estimation

2004 ◽  
Author(s):  
Tomas Gro¨nstedt ◽  
Markus Wallin
Keyword(s):  
Gas Turbine ◽  
Performance Test ◽  
Gradient Methods ◽  
Performance Testing ◽  
Performance Estimation ◽  
Data Sets ◽  
Data Set ◽  
Turbofan Engine ◽  
Local Optima ◽  
Bypass Ratio

Recent work on gas turbine diagnostics based on optimisation techniques advocates two different approaches: 1) Stochastic optimisation, including Genetic Algorithm techniques, for its robustness when optimising objective functions with many local optima and 2) Gradient based methods mainly for their computational efficiency. For smooth and single optimum functions, gradient methods are known to provide superior numerical performance. This paper addresses the key issue for method selection, i.e. whether multiple local optima may occur when the optimisation approach is applied to real engine testing. Two performance test data sets for the RM12 low bypass ratio turbofan engine, powering the Swedish Fighter Gripen, have been analysed. One set of data was recorded during performance testing of a highly degraded engine. This engine has been subjected to Accelerated Mission Testing (AMT) cycles corresponding to more than 4000 hours of run time. The other data set was recorded for a development engine with less than 200 hours of operation. The search for multiple optima was performed starting from more than 100 extreme points. Not a single case of multi-modality was encountered, i.e. one unique solution for each of the two data sets was consistently obtained. The RM12 engine cycle is typical for a modern fighter engine, implying that the obtained results can be transferred to, at least, most low bypass ratio turbofan engines. The paper goes on to describe the numerical difficulties that had to be resolved to obtain efficient and robust performance by the gradient solvers. Ill conditioning and noise may, as illustrated on a model problem, introduce local optima without a correspondence in the gas turbine physics. Numerical methods exploiting the special problem structure represented by a non-linear least squares formulation is given special attention. Finally, a mixed norm allowing for both robustness and numerical efficiency is suggested.

Low Cost Controlled Composting of Refuse and Sewage Sludge

1987 ◽  
Vol 19 (5-6) ◽  
pp. 839-845 ◽  
Author(s):  
J. T. Pereira-Neto ◽  
E. I. Stentiford ◽  
D. D. Mara
Keyword(s):  
Escherichia Coli ◽  
Sewage Sludge ◽  
Low Cost ◽  
Control Methods ◽  
Fixed Rate ◽  
The Past ◽  
Temperature Feedback ◽  
Forced Aeration ◽  
Domestic Refuse ◽  
Faecal Streptococci

The forced aeration static pile composting system was used to compost mixtures of domestic refuse and sewage sludge. Several different control methods have been evaluated over the past four years from simple, low cost fixed rate aeration timers to microcomputer based systems. Their relative merits are considered. In a compost pile using temperature feedback control the number of Escherichia coli were reduced from 107 org./g to less than 102 org./g. within 16 days. Faecal streptococci were reduced from 107 to less than 102 org./g within 30 days. The process consistently produced a good quality sanitised material under a range of control regimes.

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