Valve Position Research Articles

Kissing balloon technique as rescue strategy to treat left ventricular outflow tract obstruction after transcatheter mitral valve replacement: a case report

Abstract Background Transcatheter mitral valve replacement (TMVR) has become a viable, minimally invasive treatment for inoperable patients with severe mitral valve disease, particularly among elderly individuals with significant comorbidities. A key complication of TMVR is left ventricular outflow tract (LVOT) obstruction, necessitating various preventive and therapeutic strategies. This report presents a case of severe LVOT obstruction following TMVR and highlights the effective application of the kissing balloon technique as a therapeutic intervention. Case Presentation A 79-year-old female with New York Heart Association class IV dyspnea due to severe mitral stenosis and a high operative risk (STS-PROM score 6.2%) underwent TMVR. Pre-procedural evaluations indicated significant mitral valve calcification and a mitral valve area of 0.9 cm². After successful TMVR deployment, post-implantation echocardiography revealed an LVOT pressure gradient of 53/85 mmHg, prompting the use of the kissing balloon technique, which reduced the gradient to 28 mmHg. Follow-up assessments showed normal mitral valve function and stable LVOT gradients during short-term follow-up throughout the patient’s hospital stay. Discussion LVOT obstruction is a potentially life-threatening complication of TMVR, often associated with high mortality rates due to hemodynamic impairment. This complication can arise from various anatomical factors and valve positioning issues. Several strategies have been developed to address LVOT obstruction, including the laceration of the anterior mitral leaflet and alcohol septal ablation. The successful implementation of the kissing balloon technique in this case underscores its potential to improve outcomes in LVOT obstruction.

Options for pediatric heart valve replacement.

Heart valve replacement is indicated for children with irreparable heart valve disease. These replacements come in a variety of forms including mechanical, xenograft tissue, allograft tissue, and autograft tissue valves. These options each have unique benefits and risks profiles. Mechanical valves are the most structurally durable; however, they represent significant thrombogenic risks and require anticoagulant therapy. Xenograft and homograft tissue valves do not carry the thrombogenic risks found with mechanical valves but also do not have the structural integrity of mechanical valves. Importantly, neither of these options allows for the somatic growth, requiring serial reoperation to implant upsized valves. Autograft implantation and partial heart transplantation each allow for the implantation of growing valves; however, autografts require for either a mechanical or bioprosthetic valve to be fitted into another valve position and PHT requires immunosuppressive medication to allow for the growth of the valve. In summary, outcomes of valve implantation in the pediatric population are significantly subpar compared to the outcomes enjoyed by the adult population. To remedy this, further innovation is needed in heart valve replacement technology.

Inflow Control Device with Electro-Hydraulic Control System

This article presents an in-depth exploration of the design, modeling, and control of an advanced inflow control device (ICD). Existing control systems for ICDs are analyzed, highlighting their key features and assessing their advantages and drawbacks. Based on this analysis, the development of a new ICD design is proposed incorporating an electro-hydraulic control system. The mathematical description of the valve operation is provided, elucidating the principles behind its functioning. To simulate and evaluate the performance of the proposed ICD, a comprehensive model is built using Simulink, integrating a matrix approach and neural networks. The model enables the qualitative determination of the valve position based on the generated pressure drop, contributing to the optimization of the device’s performance. The article emphasizes the importance of automatically adjusting the actuator’s position based on real-time measurements from various instruments. This enhances the efficiency and reliability of the ICD in dynamically controlling the flow rate in production wells. The use of a neural network-based approach aids in accurately determining the density of the flowing fluid and its impact on pressure drop, facilitating effective control strategies. The results of their research are demonstrated, showcasing the successful operation of the developed ICD model. Through the use of 3D views and crosssectional diagrams, the article provides a visual understanding of the ICD’s components, including the overall device, central axis, and pressure sensor setting. This article contributes to the advancement of inflow control devices by offering novel insights into their design, mathematical modeling, and control mechanisms. The findings pave the way for improved reservoir management, enhanced production optimization, and more efficient utilization of oil and gas resources.

Description of Encyonemataceae fam. nov. and Witkowskiaceae fam. nov. (Bacillariophyceae, Cymbellales) based on molecular and morphological analyses

In this study, based on the results of molecular analysis of SSU rRNA and rbcL sequences, we propose the descriptions of two new families in the order Cymbellales. Molecular data demonstrates that diatoms of the genus Encyonema constitute an independent monophyletic clade, which represents a new family described herein – Encyonemataceae fam. nov. Another family introduced in this article, with regards to molecular data, is Witkowskiaceae fam. nov. In our research, it is comprised of three closely related genera – Geissleria, Paraplaconeis and Witkowskia. The results of performed molecular investigation are supported by morphological analysis. Morphological diagnoses of the new families are based on a combination of features: type of valve symmetry, raphe structure, presence and position of stigmata or stigmoids, number and location of apical pore fields and morphology of chloroplast. In addition, we discuss the phylogeny of selected genera of the order Cymbellales. Based on their morphology, 3 and 5 genera are assigned with provisionary position in Encyonemataceae fam. nov. and Witkowskiaceae fam. nov., respectively.

Investigation of the Threshold for Discrimination Between Aortic and Pulmonary Valve Positions Using the Potential Peak Value of Premature Ventricular Contractions Originating from the Outflow Tract in the CARTO® System

Investigation of the Threshold for Discrimination Between Aortic and Pulmonary Valve Positions Using the Potential Peak Value of Premature Ventricular Contractions Originating from the Outflow Tract in the CARTO® System

Performance of the Edwards Sapien 3 Bioprosthesis in Atrioventricular Valve Position A Case Series

Abstract Background The Edwards Sapien percutaneous valve (Edwards Lifesciences, Irvine, CA, USA) is a promising therapeutic option for congenital atrioventricular desease mostly because of the posibility to accomodate to somatic growth with ballon dilatation. Case Summary This article reports the performance of Edwards Sapien 3 valve in atrioventricular valve position in four paediatric patients. Discussion Despite aggressive antiplatelet and anticoagulation strategies, most patients showed early bioprosthesis dysfunction, with increasing gradient not related with somatic growth. The decrease in leaflet motility in the absence of thrombosis or pannus could be associated with the low velocity flow and low pressure gradient that exists between the atria and ventricles in small children. It is well known graft lifespam is ussually shorter in small children, but we hypothesise the possibility of a second factor, that valve design is intented to support higher flow velocity paterns, and can present a early failure in low flow low pressure situation. More studies are necessary to provide reliable evidence.

Enhancing Seasonal Performance of Heat Pumps integrated into Building Ventilation Systems using a Multi-Stage Volume Enlarger: a Comparative Study across European Regions

The buildings sector is one of the largest energy consumers in the EU, accounting for approximately 40% of final energy consumption and around 36% of greenhouse gas emissions. European governments are implementing various measures to reduce these figures. One effective approach to lowering energy consumption is to enhance the energy efficiency of HVAC systems in buildings. Extending the control range of heat pumps can significantly improve their seasonal energy efficiency, thereby reducing carbon dioxide emissions and enhancing building sustainability. Modern heat pump capacity control commonly involves a variable-speed compressor and an electronic expansion valve. In this study, the authors introduce an additional control component—variable volume in the active loop of the heat pump.The paper evaluates the performance of a variable-volume heat pump integrated into a ventilation system across different European regions (Vilnius, Helsinki, and Milan). A comparison is made between the conventional control approach, which uses a compressor and expansion valve, and an enhanced control method that incorporates an additional device to regulate the heat pump circuit volume. Based on data from prior experiments—specifically, the dependencies of the heat pump heat output and efficiency on compressor speed, expansion valve position, and circuit volume—a control algorithm was developed with Matlab to simulate heat pump performance in a ventilation system over a typical meteorological year for each city.Key findings highlight that the use of additional volume control in the heat pump loop significantly extends the unit’s operational time compared to conventional control methods. Specifically, operational time increased from several percent to as much as 69.97% across the regions analysed, positively impacting seasonal performance. These results underscore the critical importance of optimizing heat pump control strategies, as they not only enhance energy efficiency but also contribute to reducing reliance on auxiliary heating and lowering overall carbon emissions. Furthermore, despite these advantages, the study notes a significant limitation: the current lack of commercially available tools for implementing dynamic volume adjustment in heat pumps, which presents challenges for practical application in the field.

Bioprosthetic Valve Positions in Patients With Atrial Fibrillation ― Insights From the BPV-AF Registry ―

Data on the impact of valve position on clinical outcomes in patients with atrial fibrillation (AF) and bioprosthetic valves (BPVs) are limited. The BPV-AF Registry was a multicenter, prospective, observational study involving 894 patients with BPVs and AF. In this post-hoc substudy, patients were classified according to BPV position: aortic (n=588; 65.8%), mitral (n=195; 21.8%), or both (n=111; 12.4%). The primary outcome was a composite of stroke/systemic embolism, major bleeding, heart failure requiring hospitalization, all-cause death, or BPV reoperation. During a mean follow up of 15.3±4.0 months, the primary outcome occurred in 90 (15.3%) patients (12.7/100 patient-years) in the aortic group, 25 (12.8%; 10.2/100 patient-years) in the mitral group, and 16 (14.4%; 11.8/100 patient-years) in the both-valves group (log-rank P=0.621). The unadjusted and adjusted risks were not significant for the mitral and both-valves groups relative to the aortic group (unadjusted hazard ratio [95% confidence interval] 0.80 [0.52-1.25] and 0.92 [0.54-1.57]; adjusted hazard ratio 0.89 [0.51-1.54] and 1.10 [0.58-2.09], respectively). There was no significant difference in the incidence of stroke/systemic embolism or major bleeding among the 3 groups (log-rank P=0.651 and 0.156, respectively). In patients with BPVs and AF, the risk for the composite outcome was comparable regardless of the BPV position.

Correlation of prosthesis position on mid-term pacing burden in patients with new permanent pacemaker after TAVI

Abstract Background Prior studies suggest a strong correlation of the final prosthesis position on the occurrence of new conduction disturbances resulting in permanent pacemaker (PPM) implantation after transcatheter aortic valve implantation (TAVI). A high burden right ventricular pacing (PPM stimulation rate of > 20 %) is associated with poor long-term outcomes. So far, data about predictors influencing the PPM stimulation rate after TAVI are scarce. Purpose Thus, the purpose of this study was to evaluate the influence of the three-dimensional transcatheter heart valve (THV) position, as well as device landing zone characteristics or peri-/post-procedural factors on the stimulation rate in patients with new implanted PPM as TAVI complication. Materials: We evaluated the final THV position of 387 patients (106 with self-expanding Evolut R THV, 281 with balloon-expandable Sapien 3 THV) using fusion imaging of pre- and post-TAVI computed tomography angiography (CTA) to obtain a three-dimensional reconstruction of the THV within the native annulus region. The length of the THV above and below the native annulus was measured within the fused images to assess the implantation depth. PPM stimulation rates were examined pre-discharge and after 3 months. Patient’s clinical long-term outcome was evaluated over 5 years via standardized questionnaire as well as contacting general practitioners. Results Out of the 387 patients 112 (29%) received a new PPM pre-discharge after TAVI between 2014 and 2022. They were grouped into patients with stimulations rate below and above 20%. A stimulation rate > 20% in the PPM control before discharge and after three months was detected in 69 % and 67 % of them, respectively. Using uni- and multivariate logistic regression analysis, only new occurred third degree atrioventricular blocks (p=0.007) was identified as predictor for high burden right ventricular pacing after PPM-implantation as well as after 3 months. The implantation depth of the THV showed no influence on the PPM stimulation rate – neither the mean value nor the exact implantation depth adjacent the left, right and non-coronary cusp (P=0.455, P=0.108 and P=0.932, respectively). There were no significant differences regarding MACE between both groups during long-term follow-up; only the degree of dyspnea 5 years after TAVI was significantly higher in patients with a stimulation rate > 20% (p=0.01). Conclusion We detected no correlation of the exact three-dimensional THV position on mid-term pacing burden in 112 patients implanted with a new PPM after TAVI using CTA fusion imaging. Only a new occurred third degree atrioventricular block was a predictor for a high burden right ventricular pacing (stimulation rate >20%). These results provide important insights into which patients actually require PPM implantation after TAVI.

Cerebral emboli detection and autonomous neuromonitoring using robotic transcranial Doppler with artificial intelligence for transcatheter aortic valve replacement with and without embolic protection devices: a pilot study

BackgroundPeriprocedural ischemic stroke remains a serious complication in patients undergoing transcatheter aortic valve replacement (TAVR). We used a novel robotic transcranial Doppler (TCD) system equipped with artificial intelligence (AI) for...

The novel balloon-expandable Myval transcatheter heart valve: systematic review of aortic, mitral, tricuspid and pulmonary indications

Introduction and objectivesMyval technology represents the first balloon-expandable alternative since the Edwards system became commercially available. Despite certain controversies, its use has rapidly expanded. We aimed to gather all the available literature regarding its indications and outcomes. MethodsA comprehensive search of articles published between December 2016 and May 2024 was conducted using BioMedCentral, Google Scholar, and PubMed to evaluate the main outcomes of Myval for native aortic stenosis (AS) (meta-analysis) and off-label uses (systematic review). ResultsA total of 151 studies were identified, and 74 were included in the analysis, covering aortic (n=51), mitral (n=9), tricuspid (n=6), and pulmonary (n=8) valve positions. A meta-analysis of studies on native AS demonstrated that Myval is safe and effective, with a 30-day mortality rate of 1.3%, good hemodynamic performance, low rates of pacemaker implantation (8.8%), and ≥ moderate paravalvular regurgitation (1.3%). Compared with other contemporary devices, Myval was competitive and associated with lower rates of pacemaker implantation. In a systematic review of off-label indications, Myval was also found to be safe and effective. In bicuspid AS, pure regurgitation, and aortic valve-in-valve procedures, success rates were 100%, 92%, and 100%, respectively, with pacemaker rates of 9.9%, 22.2%, and 3%, respectively. For mitral valve-in-valve/in-ring procedures, the success rate was 96.9%, while in tricuspid and pulmonary positions, small case series reported 100% success rates for both, with minimal procedural complications. ConclusionsMyval technology is safe and effective for the treatment of native valvular disease and dysfunctional prostheses or rings in all heart valve positions, although larger scale studies are warranted.

Research on input parameter optimization for NOx deep learning prediction model

Optimizing the input parameters for NOx prediction model is instrumental in enhancing the precision and efficacy of the prediction model. This paper focuses on the input variables of the data-driven diesel engine NOx prediction model. According to the diesel engine NOx generation mechanism, at first relevant variables are selected, then the similarity method and parameter sensitivity method are compared to optimize the input variables. Firstly, this paper conducted a real-road emission test of a heavy-duty diesel vehicle, and proposed a data-driven deep learning model for predicting diesel engine NOx emissions based on the experimental data. The experimental data were processed using an Attention-Mechanism based Convolutional Neural Networks-Long Short-Term Memory (AM-CNN-LSTM) model. Subsequently, input parameters were selected according to the sensitivity weights assigned to each parameter in the preliminary model. This approach refined the modeling data and excluded variables not pertinent to NOx emission prediction. The AM-CNN-LSTM model prediction performance has been improved with 2% increase of model R2 as well as the model training time is reduced by 23%, and the types of parameters required to train the model are reduced by 50%. It accomplished this by effectively reducing data dimensions, discarding non-essential variables for NOx prediction, and diminishing computational complexity. Six input parameters were identified as pivotal in reconstructing the modeling data for accurate NOx prediction: engine speed, torque, EGR valve position, exhaust flow rate, air mass flow rate, and oil temperature. In optimizing the NOx prediction model, it is crucial to determine an optimal number of input parameters. Excessive parameters do not enhance model accuracy, while an insufficient number impairs the model’s ability to precisely emulate the NOx generation process, leading to diminished predictive accuracy.

Dynamics analysis and verification for slotted limited-angle torque motor in electromagnetic valve applications

Abstract Limited-angle torque motor (LATM) as a key component of the exhaust gas recirculation (EGR) valve, which can precisely control the position of the EGR valve, thus achieving dynamic adjust the amount of exhaust gas recirculation. This paper introduces the dynamic analysis, modelling and experimental validation of a concentrated winding axial-flux slotted LTAM with 4-poles/4-slots. Aiming at the prominent issues such as cogging torque and nonlinear torque characteristics in the operating region of slotted LATMs, analytical equations are derived based on the magnetic circuit to predict the torque-angle characteristics of LATM, covering both constant torque and linear torque regions. These equations help establish the relationship between performance and key parameters, enabling rapid design of LATM. The test results indicate that the proposed model can accurately describe the electromagnetic torque and cogging torque of the LTAM, with an error range of 5%. Utilizing the effective angle range proposed in this paper, an approximate linear relationship between the electromagnetic torque and current can be achieved, with a linear error of 6%.

Design and Research of Intelligent Valve Control

The design and research of intelligent valve control system aims to improve the efficiency and accuracy of fluid control in industrial process automation. By integrating advanced sensing technology, communication protocols and intelligent algorithms, the precise control of valve position, pressure and flow rate is achieved. STM32 controller and a variety of sensors are used in the system to realize real-time monitoring and feedback control of valve status. The control strategy based on PID algorithm enables the valve to maintain stable operating performance under complex working conditions. In addition, the safety and reliability of the system are also considered, and the robustness of the system is improved by redundant design and fault detection mechanism. The experimental results show that the designed intelligent valve control system has significant advantages in improving response speed, control precision and energy efficiency, and has a wide range of industrial application prospects.

Surgical explantation of transcatheter heart valves: A single institution experience

ObjectiveOver the past decade, there has been a dramatic growth in the utilization and diversity of available transcatheter devices for the replacement and repair of all heart valves. The aim of this study is to examine temporal trends, failure profiles, and clinical outcomes involved in the surgical explantation of transcatheter valve prostheses. MethodsAdult patients undergoing surgical explantation of transcatheter valve prostheses between 2014 and 2022 at a single institution were identified. Retrospective cohort review and survival analysis were performed to assess patient characteristics, indications for explant, and operative outcomes. ResultsFrom 2014 to 2022, 8 surgeons at a single institution performed explantation of transcatheter valve prostheses in 44 patients. Among explanted devices, 50% were removed within 1 year of transcatheter implantation. Surgical explantation was performed on an urgent or emergent basis in 57% of patients. Indications for explantation included valve prosthesis failure (57%), iatrogenic injury (16%), and endocarditis (11%). Operative mortality was 11%, with a mean Society of Thoracic Surgeons mortality risk of 12%. Patients undergoing elective explantation had improved survival compared with those undergoing urgent or emergent explantation (P = .03). Overall survival was 77% at 3 years following transcatheter valve explantation. ConclusionsThere is a rising annual incidence of transcatheter valve explantation in all valve positions. Surgical explantation performed on both elective and non-elective bases is increasingly common in adult cardiac surgical practice. The clinical impact of transcatheter valve explantation is significant and should be strongly considered by multidisciplinary heart teams in the lifetime management strategy of cardiac valvular disease.

Position Servo Control of Electromotive Valve Driven by Centralized Winding LATM Using a Kalman Filter Based Load Observer

The exhaust gas recirculation (EGR) valve plays an important role in improving engine fuel economy and reducing emissions. In order to improve the positioning accuracy and robustness of the EGR valve under uncertain dynamics and external disturbances, this paper proposes a positioning servo system design for an electromotive (EM) EGR valve based on the Kalman filter. Taking a novel valve driven by a central winding limited angle torque motor (LATM) as the object, we have fully considered the influence of the motor rotor position and load current, as well as the magnetic field saturation and cogging effect, improved the existing LTAM model, and derived accurate torque expression. The parameter uncertainty of the above internal model and the external stochastic disturbance were unified as “total disturbance”, and a Kalman filter-based observer was designed for disturbance estimations and real-time feed-forward compensation. Furthermore, using non-contact magnetic angle measurements to obtain accurate valve position information, a position control model with real-time response and high accuracy was established. Numerous simulated and experimental data show that in the presence of ± 25% plant model parameter fluctuations and random shock-type disturbances, the servo system scheme proposed in this paper achieves a maximum position deviation of 0.3 mm, a repeatability of positioning accuracy after disturbances of 0.01 mm, and a disturbance recovery time of not more than 250 ms. In addition, the above performance is insensitive to the duration of the disturbance, which demonstrates the strong robustness, high accuracy, and excellent dynamic response capability of the proposed design.

A parametric investigation of Dual-throat nozzle bypass channel configurations for advanced Aviation applications

The Bypass Dual-Throat Nozzle (BDTN) has garnered growing attention due to its remarkable thrust vectoring capabilities. This type of nozzle boasts broad application prospects as it achieves deflection control of the jet stream merely through regulating the opening and closing of bypass channels. Our comprehensive study delves deeply into the intricate parameterization of the bypass channel within the BDTN. Research has demonstrated that utilizing Fluent software in conjunction with the Realizable k-epsilon turbulence model, standard wall functions, and the Sutherland formula for viscosity coefficient approximation can yield a relatively accurate representation of the vector flow field structure within the BDTN. Following the validation of the numerical computation methodology employed in this study, we have investigated the influence of factors such as bypass channel radius, precise valve positioning, and actuation direction on the nozzle's vectoring performance. Key findings indicate that, due to the relatively small proportion of secondary flow, the radius of the bypass channel has minimal impact on the thrust vector angle. The positioning of the valve and its opening direction are critical in determining the thrust vector angle, requiring careful consideration during the design and optimization process. Fully opening the bypass channel does not necessarily yield the maximum thrust vector angle. Moreover, the total pressure, velocity, position, and direction of the secondary flow within the bypass channel exert a more profound influence on the nozzle's vector performance compared to the mere presence of the secondary flow itself. Notably, the forward opening method of the valve emerges as the preferred choice, as it facilitates more precise later vector control.

Renewable fuel-powered micro-gas turbine and hydrogen fuel cell systems: Exploring scenarios of technology, control, and operation

Two technology options, a proton exchange membrane (PEM) fuel cell and a recuperated micro-gas turbine (MGT) consisting of equipment with variable efficiencies and a controllable bypass valve, are modeled numerically. The validated simulations are studied under multiple scenarios, including technology, control, and operation. Under the technology scenario, the PEM fuel cell depicts higher net heat energy (1390.5 kW) with an overall efficiency of 93.27 %, significantly reducing thermal dissipation compared to the MGT, which has a low heat-to-power ratio (0.69) with the same hydrogen combustion rate (0.018 kg s−1). Following the fuel scenario, at 40 %-part load and 100 % bypass valve position, the highest net power (137.08 kW) and heat generation (635.07 kW) are achieved when 0.009 kg s−1 of hydrogen is combusted in MGT, exceeding other fuel utilization. In addition, the heating control strategy determines the availability status of the proposed technologies. The observed operational trends indicate effective fulfillment of urban heating needs by hydrogen combustion during Winter and Fall. However, the utilization of biogas leads to significant functional limitations. Finally, the operating function of the PEM fuel cell under off-design conditions is evaluated, resulting in notable enhancements in energy outputs and hydrogen consumption when considering the combination of control parameters compared to their individual evaluations.

Robot-assisted mitral valve surgery may be supported by patient-specific planning aid in port placement

Robotic-assisted mitral valve surgery is gaining renewed popularity in the global surgical community. Appropriate patient-specific planning is pivotal for the safety and effectiveness of this procedure. One main step in this perspective is represented by the choice of placement of four ports in the right chest, for the introduction of robotic arms. Individual anatomical features (e.g., chest morphology and position of the mitral valve inside the chest) may determine inadequate surgical exposure, conversion to open procedure, or refusal for the technique. Currently, and contrary to robotic-assisted procedures in other surgical specialties, there is no dedicated approach or tool for patient-specific planning aimed at formally addressing these issues preoperatively. Herein, we present a dedicated, comprehensive method entailing: a homemade algorithm for rib segmentation (deep learning approach) and identification of intercostal spaces / candidate port entry sites; semiautomatic definition of a target working volume (mitral valve); definition of dedicated Performance Measure J* based on each potential triad of thoracic ports entry sites. We propose the dedicated J* parameter to better indicate the optimal patient-specific entry port solution than other parameters (h_e, ic, CCI and E). Prospective clinical studies should be based on the J* parameter. We hypothesize that this approach, dedicated to the requirements of robotic-assisted mitral valve surgery, may enhance the safety and the diffusion of this surgical strategy.

A Real-Time Intelligent Valve Monitoring Approach through Cameras Based on Computer Vision Methods.

Abnormal valve positions can lead to fluctuations in the process industry, potentially triggering serious accidents. For processes that frequently require operational switching, such as green chemical processes based on renewable energy or biotechnological fermentation processes, this issue becomes even more severe. Despite this risk, many plants still rely on manual inspections to check valve status. The widespread use of cameras in large plants now makes it feasible to monitor valve positions through computer vision technology. This paper proposes a novel real-time valve monitoring approach based on computer vision to detect abnormalities in valve positions. Utilizing an improved network architecture based on YOLO V8, the method performs valve detection and feature recognition. To address the challenge of small, relatively fixed-position valves in the images, a coord attention module is introduced, embedding position information into the feature channels and enhancing the accuracy of valve rotation feature extraction. The valve position is then calculated using a rotation algorithm with the valve's center point and bounding box coordinates, triggering an alarm for valves that exceed a pre-set threshold. The accuracy and generalization ability of the proposed approach are evaluated through experiments on three different types of valves in two industrial scenarios. The results demonstrate that the method meets the accuracy and robustness standards required for real-time valve monitoring in industrial applications.