Types Of Equipment Research Articles

Study of the Dynamic Properties of the Miniature Electro-Hydrostatic Actuator

The electro-hydrostatic actuator (EHA) is a new type of high-performance servo actuator that originated in the field of aerospace, and it is gradually becoming a common basic component for various types of large equipment. A miniature EHA, mainly composed of a micro two-dimensional (2D) piston pump and a brushless DC motor, is designed in this article by simplifying the system structure. This paper analyzes the structure and working principle of this EHA and establishes the mathematical models of the brushless DC motor, micro two-dimensional pump, and hydraulic cylinder. Field-oriented control (FOC) is used to drive the brushless DC motor, and the models of the controller are established in Simulink. Furthermore, the models of the mechanical and hydraulic systems of the miniature EHA are established in AMESim. In addition to this, a prototype of this miniature EHA was fabricated in this paper and an experimental platform was built for experiments. In the joint simulation environment, the rise time of the EHA system at 6000 r/min is 0.158 s and the frequency response amplitude attenuation to −3 dB has a bandwidth of 20 Hz. On the other hand, the constructed miniature EHA prototype was dynamically characterized to obtain a rise time of 0.242 s at 6000 r/min and a bandwidth of 13 Hz. In this paper, the feasibility of the design scheme of the miniature EHA system is verified, and its excellent dynamic properties are verified with simulation and experiment.

Data-Driven Decision Support for Equipment Selection and Maintenance Issues for Buildings

Equipment costs play a critical role in decision making during design and construction, which requires up-to-date information and data. The design of this study incorporates the inputs from the literature review on the influencing factors of equipment costs and major targeted equipment types to enhance decision support for equipment selection, project construction, and maintenance issues. Two traditional cost estimation methods and five machine-learning methods were compared in this study to identify significant attributes related to the predictions of the costs and residual values of each targeted equipment type. The novelty of this study is that the developed method improves prediction accuracy by establishing a comprehensive and well-structured database framework. A comparison of this method with the existing prediction models reveals that the results and the accuracy of multiple regression analysis are improved in the range of (3% to 33.97%) with the use of a modified decision-tree model combined with support vector machines. The major contribution of this research is the design, implementation, and validation of a machine-learning-based modified decision tree with a support vector machine model for improved accuracy and decision support in construction management. Future research should consider the relationship between geographical variations and value changes.

Temperature monitoring in levees for detection of seepage

Improving knowledge of existing levees through investigation and monitoring is an important step in evaluating their safety and that of the surrounding area. Nevertheless, these activities are complex due to the considerable levee length and the high spatial variability of soil composing the body and foundation, especially when paleo-rivers are present. In order to investigate the reliability of new advanced techniques proposed for characterizing the soil stratigraphy and the seepage condition within the levee foundation, a new test site was realized along the Adige River in Bolzano Province (Italy). Here, five boreholes, drilled in a 20-m-side square area straddling the embankment, host four different types of monitoring equipment, among which some are Distributed Fiber Optical Sensors (DFOS), here used for detecting the temperature variations along the well. The present paper focuses on the critical analysis of the preliminary results obtained with DFOS and their comparison with data obtained using traditional pressure and temperature probes. The monitoring data collected in the field during the passage of a flood that occurred on 5th August 2021 are used to better understand the hydraulic behavior and the safety conditions of the levee but also to fully assess the reliability and potential of DFOS.

Plastic Pandemic after COVID-19: A Global Health Concern.

COVID-19 pandemic has increased the amount of plastic burden to environment and complexities of plastic waste management. Change in behavioral pattern with advent of this pandemic led to increased practice of hygiene and increased use of different types of personal protective equipment. Unfortunately, rapid rise in production of the PPEs (like Hazmat suit, gloves, etc.) and single-use plastics used in RT-PCR and other testing are the biggest source for increased non-biodegradable plastic waste leading to amplified burden on plastic waste management. A number of measures like prioritizing the policies directed towards changes at behavioral, social and institutional level need to be started. Also, reduction in plastic waste along with proper plastic waste management policies should be implemented. To prevent the transition from one pandemic to other; improvement in government policies with public private partnership are the need of the hour.

ВИЗНАЧЕННЯ ТЕНДЕНЦІЙ ЗМІН КАПІТАЛЬНИХ ІНВЕСТИЦІЇ ПРОМИСЛОВОГО ВИРОБНИЦТВА В УМОВАХ НЕВИЗНАЧЕНОСТІ, ЗАГРОЗ ТА РИЗИКІВ

The article examines the trends of changes in capital investment in industry and determines the trends of further investment in conditions of uncertainty, threats and risks. Capital investments in industry for 2010-2022 were analyzed. It was determined that the general level of capital investments in the industry of Ukraine in the period 2010-2022 increased, with the exception of 2020. The number of industrial enterprises that introduced innovations for the period 2013-2020 was analyzed as a percentage of the total number. During the period 2013-2016, there was an increase in enterprises that implemented innovative processes in their activities, in 2017 and 2019, there was a slight decrease in innovative activity compared to the previous period. It is substantiated that the main vectors of development among science-intensive types of industry and mechanical engineering should become: the development of the aviation industry, rocket and space technology, the production of new types of rolling stock, the development of the energy industry, the production of electronic equipment and the modernization of the defense complex. To ensure the security and competitiveness of the state, it is necessary to develop modern types of weapons and military equipment. Among the priorities: radar systems, high-precision weapons and means of their destruction, missile complexes of various ranges. In order to maintain competitive positions in the field of mining and metallurgical production, it is necessary to develop directions for the diversification of production, optimization of the structure according to the nomenclature range, development of new types of goods and services on the basis of existing production capacities. It is necessary to develop and attract new, more effective methods of development of natural reserves of mineral raw materials.

Delphi/AHP를 활용한 화력발전플랜트 고위험시설 선정 연구

Thermal power plants are large-scale plants made up of various types of buildings and equipment to produce electricity and consist of coal handling systems, oil storage facilities, boiler facilities, turbine/generator facilities, substation facilities, water treatment facilities, and auxiliary facilities for operating them. For these special fire-fighting objects, high safety is required in consideration of fire load and fire risk. In principle, the selection of fire fighting facilities applied to each space is primarily in accordance with relevant laws and regulations, and is installed and maintained by the power plant operating institution. However, most power plant operating institutions do not secure safety according to the characteristics of each major dangerous space and maintain fire fighting facilities under the same conditions, which is insufficient to secure actual fire safety. In this study, Delphi and AHP were used to assign weights according to the importance of dangerous spaces, and major dangerous spaces according to priorities were divided into fire/explosion risk facilities and leak/explosion risk facilities.

Data-Driven Construction of Operation Evaluation System for Large Medical Equipment in Children's Hospital

Through data collection and analysis, the method of evaluating the operation quality of large medical equipment in children's hospital is explored and suggestions on the use and configuration of large medical equipment is put forward. Collect the equipment operation data through the Internet of Things, and combine the hospital HIS, RIS, HRP and other information system data to establish the operation evaluation system of large medical equipment of children's hospital. CRITIC method is used to quantitatively evaluate single type of equipment and single equipment. Hospital big data platform realizes the longitudinal analysis of the operation data of a single large equipment and forms a visual chart, which is displayed on the PC and mobile terminals. Municipal platform can conduct horizontal analysis on the equipment operation data to realize the comprehensive quantitative evaluation of the operation level of large equipment of children's hospital and put forward suggestions for use and configuration. A large equipment operation evaluation system for children's hospital is established through data collection and analysis, and the fine management level of large medical equipment is improved.

Information technology of synthesis of liquid dosing process control

Problem. Currently, different solutions are available on the global market for liquid dosing. There is no universal technology, as the same substances can be dosed using different types of equipment. Therefore, manufacturers face the complex task of determining the most optimal kind of equipment to achieve their goals. These issues are a complex multi-criteria scientific problem, and to effectively address them, it is necessary to develop a technology for synthesizing a liquid dosing control system using multi-criteria optimization methods in different conditions of information determinacy. Goal. The paper aims to increase the efficiency of liquid dosing control by developing information technology for the control system synthesizing. The object of the paper is the process of information technology development for synthesizing the liquid dosing control system. The subject of the paper is the models for the selection of hardware and software for the liquid dosing control system. Methodology. The study analyses and provides a classification of liquid dosing technology and analyses existing liquid dosing control systems. A structural model of information technology for synthesising a liquid dosing control system is developed, and criteria for selecting the elements of the liquid dosing control system are justified. A model for selecting PLC and SCADA systems for synthesising the liquid dosing control system is also developed using hierarchical analysis methods and multi-criteria evaluation and optimisation. Results. The paper resulted in the following: analysis and classification of liquid dosing technology; analysis of existing liquid dosing control systems; development of a structural model of the information technology of synthesising a liquid dosing control system; justification of criteria for selecting the elements of the liquid dosing control system, and the development of a model for selecting PLC and SCADA systems for the synthesis of the liquid dosing control system using hierarchical analysis methods and multi-criteria evaluation and optimisation. Originality. Further development of the methods of hierarchy analysis and multi-criteria assessment and optimization has been achieved by applying them to a specific field – the development of models for selecting hardware and software for the liquid dosing process control system. Practical value. The proposed information technology of synthesising a liquid dosing control system, as well as the mathematical models for selecting hardware and software for the liquid dosing process control system, will reduce the time and cost required to develop such a system.

Stability analysis of nonlinear convective boundary layer flow on a shrinking surface in the presence of viscous dissipation

This study investigates analytically the stability analysis of a nonlinear convective boundary layer (BL) flow of the nanofluids GO-EG and GO-W on a shrinking surface in the presence of a magnetic field and viscous dissipation. We provide a second-order nonlinear ordinary differential equation (NODE) for temperature distribution (TD) and a third-order NODE for velocity profile (VP) coupling based on the thermophysical characteristics of the base fluid and nanofluid as well as similarity transformations (STs) in the fundamental governing equations of momentum and energy. The analytical method HAM is used to answer the equations that have been gathered. In many different industries, such as manufacturing, automotive, microelectronics, and defense, cooling of various types of equipment and devices has very important challenges. To fulfill the demands of the engineering and industrial industries, it is hoped that this issue would significantly improve the heat transformation ratio.

Pulmonary rehabilitation in patients with prior COVID-19 infections

Abstract
 Background: Patients with prior COVID-19 infections can develop persistent dyspnea and physical limitation. This may reflect chronic lung disease, chronic heart disease, or neuromuscular disease. Treatment approaches include pulmonary rehabilitation. This study analyzed the benefits of conventional pulmonary rehabilitation in patients with chronic symptoms following COVID-19 infections.
 Methods: Twenty-eight patients completed pulmonary rehabilitation at University Medical Center in Lubbock, Texas. The primary outcome was the time spent on four different types of exercise equipment during aerobic exercise sessions.
 Results: This study included 15 women and 13 men, with a mean age of 54.4 years. The racial distribution included 12 White patients, 10 Hispanic patients, and 6 Black patients. Ten patients had a smoking history, 19 patients used supplemental oxygen, 14 patients had hypertension, and 11 patients had diabetes. The median COPD Assessment Test (CAT) score was 21.5 (Q1, Q3: 17.5,29), the median Patient Health Questionnaire-9 (PHQ-9) score was 8 (Q1, Q3: 4.5,15.5), and the median Medical Research Council (MRC) score was 2. Twenty-six patients had the abnormal chest x-rays within 3 months of starting the rehabilitation program; these included 5 patients with focal interstitial infiltrates, 9 patients with diffuse interstitial infiltrates, 6 patients with focal opacities, and 6 patients with bilateral opacities. These patients completed 22.9 (Q1, Q3: 6.8,36) exercise sessions. There were statistically significant increases in all machine times on all 4 machines.
 Conclusion: This study indicates pulmonary rehabilitation can significantly increase aerobic activity levels in patients with prior COVID-19 infections. This improvement occurred in patients with important comorbidity, abnormal chest x-rays, and chronic oxygen supplementation requirements. Patients with prior COVID-19 infections and persistent respiratory symptoms should be referred to pulmonary rehabilitation.
 
 Key words: COVID-19, long COVID, rehabilitation

Vertical tillage effects on crop production and pest management in Pennsylvania

AbstractWithin the last four decades, widespread transition to no‐till corn (Zea mays L.) and soybean [Glycine max (L.) Merr.] production in Pennsylvania has improved soil conservation and soil quality but can result in residue and pest management challenges. To effectively manage residue in no‐till cropping systems, some growers have adopted vertical tillage, a residue management practice characterized by cutting and incorporating crop residue within the top 5–10 cm of soil. Despite few studies documenting effects on crop production and soil conservation, vertical tillage has become widespread. Replicated on‐farm trials were conducted over a 2‐year period in 2021–2022 to improve grower and consultant decision‐making regarding the role of vertical tillage relative to continuous no‐till on southeast Pennsylvania farms located within the environmentally sensitive Chesapeake Bay Watershed. We assessed the effects of vertical tillage on corn residue cover, winter annual weed abundance, slug damage, and soybean performance in 40 paired strip trials comparing spring vertical tillage to no‐till using three different vertical tillage tools used by farmer cooperators. Vertical tillage equipment type is a driver of variation in changes to surface residue cover. Baseline surface residue cover was similar among no‐till strips, but a greater proportion (32%) of strips had mean surface residue cover levels below a 60% conservation program compliance threshold when a Kuhn‐Krause Excelerator was used. Relative to no‐till, vertical tillage resulted in a 50% reduction in winter annual weed cover, a 24% reduction in slug damage, and no significant differences in soybean stand establishment or grain yield.

Design and analysis of a dual-rope crawler rope-climbing robot

Abstract. A rope-climbing robot (RCR) can reciprocate on a rope. To address the problems of poor load capacity and adaptability of the existing RCR, this study designs a dual-rope crawler type RCR, which can be used as a new type of transportation equipment in hilly, mountainous, and plateau areas. The crawler rope-climbing mechanism is a combination of a chain drive and the rope-climbing foot. Innovatively applying the parabolic theory of overhead rope to kinematically analyze the rope-climbing robot system, the robot motion trajectory model and the tilt angle equation are established. To establish the safe working interval of the rope-climbing robot, the influence of machine load and rope span on robot tilt angle is compared. Furthermore, research on the dynamic characteristics of the rope-climbing robot is carried out, establishing a time-varying system model of the dynamic tension of the rope in the rope-climbing robot system and analyzing the effects of speed and load on the dynamic tension of the rope and system stability. Finally, the prototype test results show that the RCR operates stably and has good load capacity and barrier-crossing capability.

A study of rotary cutting machine (RCM) performance on Korean granite

PurposeDespite the many advantages this type of equipment offers, there are still some major drawbacks. Linear cutting machine (LCM) cannot accurately simulate the true rock-cutting process as 1. it does not account for the circular path along which tunnel boring machine (TBM) disk cutters cut the tunnel face, 2. it does not accurately model the position of a disk cutter on the cutterhead, 3. it cannot perfectly replicate the rotational speed of a TBM. To enhance the knowledge of these issues and in order to mimic the real rock-cutting process, a new lab testing equipment was developed by Hyundai Engineering and Construction.Design/methodology/approachA new testing machine called rotary cutting machine (RCM) is designed to simulate the excavation process of hard-rock TBMs and includes features such as TBM cutterhead, RPM simulation, constant normal force mode and constant penetration rate mode. Two sets of tests were conducted on Hwandeung granite using different disk cutter sizes to analyze the cutting forces in various excavation modes. The results are analyzed using statistical analysis and dimensional analysis. A new model is generated using dimensional analysis, and its results are compared against the results of actual cases.FindingsThe effectiveness of the new RCM test was demonstrated in its ability to apply various modes of excavation. Initial analysis of chip size revealed that the thickness of the chips is largely dependent on the cutter spacing. Tests with varying RPM showed that an increase in RPM results in an increase in the normal force and rolling force. The cutting coefficient (CC) demonstrated a linear correlation with penetration. The optimal specific energy is achieved at an S/p ratio of around 15. However, a slightly lower S/p ratio can also be used in the design if the cutter specifications permit. A dimensional analysis was utilized to develop a new RCM model based on the results from approximately 1200 tests. The model's applicability was demonstrated through a comparison of TBM penetration data from 26 tunnel projects globally. Results indicated that the predicted penetration rates by the RCM test model were in good agreement with actual rates for the majority of cases. However, further investigation is necessary for softer rock types, which will be conducted in the future using concrete blocks.Originality/valueThe originality of the research lies in the development of Hyundai Engineering and Construction’s advanced full-scale laboratory rotary cutting machine (RCM), which accurately replicates the excavation process of hard-rock tunnel boring machines (TBMs). The study provides valuable insights into cutting forces, chip size, specific energy, RPM and excavation modes, enhancing understanding and decision-making in hard-rock excavation processes. The research also presents a new RCM model validated against TBM penetration data, demonstrating its practical applicability and predictive accuracy.

Pembuatan Tungku Pembakaran Logam

Current technological advances have produced many products that aim to make human work easier. One of them is an iron burning tool that uses a blower as a tool used to increase or enlarge the air or gas pressure that will flow into the combustion container (furnace). The blower used is a 2 inch snail blower as a tool to increase the air pressure so that the air that is supplied can enlarge the burning flame. The furnace used is a drum coated with heat-resistant cement which can withstand the heat of the combustion fire so that the furnace does not melt. The frame materials used are hollow iron measuring 40 x 40 and angle iron measuring 40x40. For combustion, it uses coal as the main fuel and the blower itself as an air distributor so that it can produce the desired fire. Based on the test results in a metal burning furnace, a temperature of 340°C can be obtained as planned so that by heating the metal, various types of equipment can be formed as desired

Analysis of Base Station Replacement Using the Cost-231 Propagation Model and Stanford University Interim (SUI) on the LTE Network in Pauh District, Padang

The increase in network traffic is caused by an imbalance between the number of users and the provision of network capacity, causing the decrease of network performance. This is often found in densely populated areas with a large number of users so that the use of cellular access services is fairly high. For this reason, it is necessary to optimize the network, one of which is by replacing existing devices (swap). Site 31140_Lubuk Bukit, Pauh District, Padang is one of the base stations that has a performance issue, which has a low throughput value (±5Mbps) and a high traffic value of 83 GB/day with Flexi Multi Radio device type and sectoral antenna. Therefore, the existing equipment is replaced, from the FMR type to the Airscale type which minimizes the use of sectoral equipment and antenna types (3 sectors) to multisectoral (6 sectors). The measurement process is carried out using two methods, namely the COST-231 propagation model for the frequency of 1800 MHz and the Stanford University Interim (SUI) for the frequency of 2100 MHz then the Key Performance Indicator (KPI) parameters with the parameters of accessibility, retainability, integrity, mobility, usage, propagation loss and receive power. The results showed that the optimization carried out by the swap method could improve the site's performance, namely a decrease in traffic reaching 31.42% and an increase in throughput up to 60% and followed by an increase in other parameters that have met the threshold value.

Blade Lift Hydraulic System Troubleshooting on Komatsu D70-LE Bulldozer (Troubleshooting Sistem Hidrolik Blade Lift pada Bulldozer Komatsu D70-LE)

A bulldozer is one type of heavy equipment used for cutting, pushing, and spreading material. It has a blade on the front side whose movement is controlled by a hydraulic system. The movement of the blade, combined with the weight and travel momentum of the bulldozer, creates the mechanical power used in the bulldozer's function.. Problems occurring in the hydraulic system could render the bulldozer useless. In this study, a Komatsu D70-LE bulldozer unit's hydraulic system is experiencing low power and cylinder drift, where the hydraulic cylinder cannot maintain its floating position and tends to return to its full-length rod position, thus causing the blade to drop on itself. This problem is then traced through the troubleshooting method to find the cause and solution to the problem. The cause of the low power problem in the lift cylinder is that the components of the lift cylinder have been worn out and damaged, resulting in a pressure leak in the lift cylinder, which causes the blade to drop by itself (hydraulic drift). The troubling components are the wear ring seal, piston ring seal, o-ring, dust seal, and rod seal. The way to solve the low power problem in the lift cylinder is to replace the lift cylinder seal kit with a new set of wear ring seal, piston ring seal, o-ring, dust seal, and rod seal.

Optimize Urban Infrastructure Planning Based on Big Data and Enhance Xi'an's Urban Image

Infrastructure is an important support for urban operation, and city image is directly related to the quality of life of citizens and the construction of city brand. Urban infrastructure distribution, equipment types, network switching, and other issues have always restricted the development of communication in Xi'an city, and the addition of big data technology has further increased the communication pressure in Xi’an city and affected the image of Xi'an city. In this paper, we take Xi'an urban infrastructure as the research object, and combine the phyon method to obtain the big data information in the network and the data in the wireless self-organizing sensor. Then, the incomplete data was eliminated, and the data was mapped to the 0~1 interval in a logarithmic manner, and a standardized processing set was formed. set up wireless ad hoc sensor devices, collect infrastructure-related data, and summarize data through big data analysis. At the same time, based on social urban image data, public demand data, and urban infrastructure evaluation results, the content of urban planning is adjusted to better meet the expectations of the public and provide targeted planning solutions. Finally, according to the data fitting, the matching of wireless ad hoc sensor network and city image improvement is realized, and the reasonable planning of infrastructure is promoted. The results of urban image analysis show that wireless ad hoc sensor network and big data technology can simplify the steps of urban infrastructure planning, reduce urban planning costs, and enhance the functionality of the infrastructure,reduce the public complaint rate, and meet the requirements of Xi'an urban image improvement.

Implementasi Sistem Monitoring Jaringan Menggunakan Libre Nms Pada Kecamatan Tarik

Network monitoring is needed to find out the various types of equipment and systems that are connected. LibreNMS is one of network monitoring system that can make it easier for administrators to monitor the network and if there are any problems it can be resolved immediately. The features provided are numerous, making it easier to monitor network performance available and ready to use. This study aims to build a network monitoring system in Kecamatan Tarik using LibreNMS. The test results show if LibreNMS can show the condition of the network system and the use of various equipment which is properly monitored.

Treatment of effluents from Food Services Establishment (FSEs) by physico-chemical processes: a case study for Trinidad & Tobago

BackgroundEffluents from Food Services Establishments (FSEs) contain primarily Fats, Oil and Grease (FOG) which severely impact on sewers and the environment when released in high concentrations. In Trinidad & Tobago, it is estimated that approximately 231,304 kg/day of unaccounted for FOG bearing wastewaters from FSEs, are released into the environment with no viable treatment in the country. This research explored the optimization of physico-chemical processes for the treatment of FOGs for subsequent release into sewers.ResultsBench-scale studies analysed the characteristics of FSE’s effluents from three popular sources, conducted the treatment of these effluents using Jar Tests, and subsequently confirm results via a pilot plant study. Characterization showed the mean concentration of the parameters examined to be; FOG (511 mg/l ± 116 mg/l), Suspended Solids (446 mg/l ± 146 mg/l), Chemical Oxygen Demand (2229 mg/l ± 963 mg/l) and pH (6 ± 0.3). Jar Tests were conducted using Poly-aluminium Chloride (PACl) as coagulant, anionic and cationic polyelectrolytes as flocculant aids with suitable pH adjustments of samples to determine the isoelectric point for the coagulant. Effluent results showed FOG removal levels of 99.9% and final effluent concentration of 0.17 mg/l. This was attained using PACl concentration of 250 mg/l, a 0.1% low cationic polyelectrolyte (CP 1154) at 4 mg/l with the pH of sample adjusted to 8. The pilot plant achieved a 97.4% removal of FOG (residual of 16.8 mg/l) using the same coagulant dosing, and pH value, but increasing the strength of the flocculant aid to 0.1% medium cationic (CP1156) at 5 mg/l.ConclusionExperimentation showed high concentrations of emulsified FOG can be efficiently removed to levels below the permissible requirements (20 mg/l) for entry into sewer systems in Trinidad and Tobago using coagulation, flocculation and sedimentation techniques. Pilot scale study also revealed that a higher strength and/or dose of the cationic polyelectrolyte and increased times in primary and final tanks were required to attain the desired results as in the bench level study, where equipment limitations in the flocculation tank were faced. This is in alignment with theory where factors critical for agglomeration is equipment type and density charge. It is, concluded that the optimum combination of chemicals and the respective dosages attained at the bench level study should prove effective should the right equipment be made available.

Flue Gas Recirculation System for Biomass Heating Boilers—Research and Technical Applications for Reductions in Nitrogen Oxides (NOx) Emissions

The paper discusses the results of investigations of the change in thermal and emission-related parameters of a heating boiler fueled with biomass after a modification with a proprietary flue gas recirculation system made for this type of equipment. The results provide insight into the combustion process with a multistage flue gas recirculation that materially affected the boiler operation: a reduction in the mass concentration of nitrogen oxides (NOx) by reducing the combustion temperature. The authors also observed a reduction in the emission of particulate matters (PM) and carbon monoxide (CO). For the investigations, the authors used a heating boiler fitted with an automatic fuel feed (timber pellets) and a proprietary patented flue gas recirculation system (Polish patent Pat. 243395) for low power solid fuel heating boilers. Aside from the measurement of the mass concentration of the emitted pollutants, the research focused on the measurements of the temperature inside the combustion chamber, the temperature of the flue gas and the level of oxygen in the flue gas. The aim of the research was to confirm the validity of using the flue gas recirculation technique to reduce emissions of harmful substances from biomass heating boilers, as a technique not previously used for this group of devices. Moreover, the aim of the research was to test an original engineering solution, in the form of a flue gas distribution valve, and investigate its effect on reducing NOx emissions and improving other thermal and emission parameters of the boiler. The obtained research results confirm the validity of the chosen actions and provide a positive premise for the practical use of this technology in solid fuel heating boilers.